- Open Access
Graphene oxide nanofilm and chicken embryo extract decrease the invasiveness of HepG2 liver cancer cells
Cancer Nanotechnology volume 12, Article number: 2 (2021)
The extracellular matrix (ECM) is a mosaic of various structural and functional proteins that cooperate with the cell, regulate adhesion, and consequently manage its further fate. Liver destruction is accompanied by a disruption of the physicochemical properties of the ECM which deregulates the cell–ECM interaction and can lead to uncontrolled proliferation and neoplastic transformation of cells. Therefore, it can be assumed that ECM modification and restoration of its characteristics for healthy tissue may counteract uncontrolled cell proliferation. The purpose of the presented research model was to optimise the physical characteristics of ECM by introducing a graphene oxide plane/nanofilm (nfGO) and enriching the cell environment with potentially missing proteins by adding a functional protein cocktail (chicken embryo liver extract) and determine the impact of these factors on cell–ECM cooperation and its consequences on adhesion, proliferation, and cell phase, which are factors of the invasiveness of cancer cells.
Experiments were performed with non-cancer HS-5 cells and liver cancer cells HepG2 and C3A. The cells were divided into four groups: (1) control, (2) cultured on nfGO, (3) cultured with the addition of chicken embryo liver extract (CELE) and (4) cultured on the nfGO with the addition of CELE. CELE contained 1735 proteins; the top 57 of these proteins have been presented. The use of nfGO as well as CELE and nfGO + CELE reduced the proliferation of HepG2 cancer cells to the greatest extent; this is in contrast to non-cancer cells and also to C3A cancer cells. Furthermore, the combined use of the CELE protein cocktail and GO substrate effectively resulted in a decrease in the population of HepG2 cells in the G0/G1 phase and an increase of the population in G2/M. Molecular analysis of HepG2 cancer cells also showed an increase in the expression of genes responsible for adhesion such as focal adhesion kinase (fak), e-cadherin, and n-cadherin and a decrease in β-catenin, which is considered a proto-oncogene.
Studies have shown that both the GO surface structure on which the cells are grown as well as the presence of a multi-component natural cocktail of regulatory proteins, can modify the expression of integrins, increase adhesion and, as a consequence, proliferation and the cell cycle—entering the resting phase. For the first time, it has been documented that hepatic cancer cells of the HepG2 line under the influence of stimuli derived from mimic ECM (graphene oxide) in interaction with a unique protein complex derived from chicken liver embryo decreased of the invasiveness of cancer cells.
Hepatocellular carcinoma (HCC) is aggressive, fast growing, and the second cause of cancer death in the world. The key reason for the development of this cancer is liver fibrosis and cirrhosis as a consequence of chronic liver injury (Baglieri et al. 2019) caused by inflammation induced through, inter alia, virus infections (HCV and HBV) (Hernandez-Gea et al. 2013). The inflammatory process is coupled with deepening degradation of the extracellular matrix (ECM). It is also known that from the processes occurring in the cell, its behaviour and fate depend decisively on its environment and above all on the ECM. Disrupted ECM may cause neoplastic transformation of cells, tumour progression, and metastasis (Lu et al. 2012). On the other hand, in the inflammatory process, tumour-associated cells possess impaired secretion of matrix proteins, which leads to overproduction and reorganisation of ECM components. Collagen fibres become thin and branched, and, as a consequence, increase ECM stiffness in fibrotic tissue (Hernandez–Gea et al. 2013; Iredale et al. 2013; Carloni et al. 2014; Klaas et al. 2016). The level of ECM stiffness affects cell proliferation and determines migration, adhesion, and, consequently, the phenotype of the cell. What's more, different tissues have ECM stiffness precisely characteristic and optimal for their proper development (Saneyasu et al. 2016). Paradoxically, ECM degradation can lead to cancer cell transformation, and the resulting cancer cells stimulate the ECM reorganisation (stiffening) process creating a kind of feedback (Iwasaki et al. 2016). Inhibiting this feedback is the key to stopping and possibly treating cancer.
ECM is the physical support for cells recognised by their receptors—integrins. Integrins sense ECM stiffness and transfer signals towards focal adhesion kinase (FAK), cytoskeleton and nucleus (Carloni et al. 2014). Thus, mechanical signals from the cell environment regulate the expression of genes, including genes involved in cell metabolism and in ECM degradation and synthesis (Humphrey et al. 2014). Cancer cells have a reprogrammed metabolism to affect lactic acid synthesis from pyruvate under aerobic conditions (DeBerardinis and Chandel 2016). Acidification of the cell environment ensures activation of ECM remodelling enzymes, which leads to pathology in stiffness, fibre density, and roughness of ECM (Han et al. 2013). Impaired signal transduction to cells promotes relaxation of cell–cell connections. Thus, cooperation between ECM and cancer cells contributes to irreversible liver fibrosis—cirrhosis (Kim et al. 2019).
ECM comprises over 300 proteins, 200 glycoproteins, and 30 proteoglycans that create an extremely complicated and dynamic structure (Humphrey et al. 2014). Loss of several components from the functional and structural protein pool may disrupt their synergistic or antagonistic activity and zonal distribution of ECM components. For example, HCC is associated with a decrease in the amount of elastic fibres, microfibrils (tenascin), proteoglycans 4, and FACIT collagens (Col14A, Col16A). Furthermore, removal of the basement membrane, containing laminins and collagen type 4, facilitates the transition to vessels and invasion (Walker et al. 2018; Baiocchini et al. 2016).
The key strategy for creating artificial ECM is by reconstruction of the physicochemical and mechanical properties of healthy tissue. Carbon allotropes, especially graphene oxide (GO), seems to be promising nanomaterial for the creation of biomimic ECM. The biocompatibility and unique characteristics of GO, in particular flexibility, stability, nano-dimensions, suggest using it as a basic structure of artificial ECM, source of mechano-signalling. Mechanical signalling, derived from a graphene oxide nanofilm, determines the affinity and adhesion of cells (Chaudhuri et al. 2016; Di Crescenzo et al. 2019). We also showed in our research that the GO nanofilm was a source of mechanotransduction modulation for muscle cells (Bałaban et al. 2020). However, stopping feedback also requires the supply of a wide spectrum of ECM proteins, whose production in the process of carcinogenesis has been inhibited or impaired (Lim et al. 2002). Thus, the supply of the main structural missing proteins, such as proteoglycans, elastin, fibrillin-2, collagens, fibulin-3, tenascin, laminin, can inhibit carcinogenesis. It seems that also the missing functional proteins, involved in maintaining the epithelial integrity, assembly of collagen fibres and enzymes involved in detoxification and antioxidation, should be delivered to cancer cells (Klaas et al. 2016; Lim et al.2002).
It seems that a natural mixture of proteins derived from an embryonic liver extract of another species should be a unique source of non-specific factors with multiple functions. Chicken embryo extract, as a source of proteins of a functional and structural nature, is used as an additive to the medium in cell culture in vitro, as well as in regenerative medicine (Essid et al. 2018; Chehelcheraghi et al. 2015). Moreover, chicken embryo extract, which is a cocktail of growth factors prevents uncontrolled proliferation of tumour cells by supplementation with missing ECM biomolecules and expression of regulating suppressor genes (Mu et al. 2014).
In the presented research, for the first time, we wanted to show that, a combination of two signals, mechanotransduction from a ECM-mimicking graphene surface and a molecular signal from the protein cocktail, could inhibit tumour cell–ECM feedback, restore proper cell contact with the environment, inhibit proliferation, and increase the population of cells in the G2/M phase of the cycle.
The objective of this preliminary and model study was to evaluate whether GO nanofilm (nfGO), as a biomimic ECM equivalent, and chicken embryo liver extract (CELE), as a source of essential and missing proteins in tumour tissue, reduce activity characteristic of liver cancer cells and restore the properties of normal cells, particularly in terms of adhesion, proliferation and cell cycle.
Characterisation of GO
Characterisation of GO flakes
GO, observed with TEM, created single-layered, slightly wrinkled flakes that ranged from 100 nm to 2.9 µm in size (Fig. 1a). GO suspended in ultrapure water at a concentration of 50 mg/L showed high stability and no tendency for agglomeration. The zeta potential of the GO was − 27.5 mV.
Chemical groups present on GO were identified by the Fourier transform infrared (FTIR) method (Fig. 1b). To the left characteristic intense, broad band at 3457 cm−1 is present. This band corresponds to O–H stretching that is assigned to alcohol-like groups connected directly to graphene surface through oxygen atom. Some of the OH groups interact with each other by hydrogen bonds that is reflected by the band at 3217 cm−1. This band, however, can also be assigned to stretching of OH groups present in carboxylic group (COOH). Further, characteristic bands at 2817 cm−1 and 2779 cm−1 are present. Both are generated by stretching of C–H from carbon chain. In bands that vibrations generate those bands carbons are sp3 hybridised. Next, the C=O stretching located at 1728 cm−1 confirms the presence of at least some oxygen attached to carbon. In this case, both carbon and oxygen atoms are sp2 hybridised. The band at 1728 cm−1 can be assigned to the carboxylic group (carboxy bond) or carbonyl group. Although usually bands generated by C=O stretching from carboxylic group, containing carboxylic acids (propanoic, butanoic or benzoic acids), are located at higher wavenumbers, e.g., 1740–1760 cm−1 (Thygesen et al. 2003), direct bonding of carboxylic group to graphene surface in studied sample changed the C=O vibrations of carboxylic group to lower wavenumbers, i.e. 1728 cm−1. However, it cannot be excluded that this band is generated by the carbonyl group attached directly to one of carbons forming graphene surface. Bands generated by aromatic ring carbon–carbon double bands were present at 1621 cm–1 in the GO spectra (Thygesen et al. 2003). This location corresponds to the sp2 character of GO (Kurantowicz et al. 2017). Graphene spectrum also contained two characteristic bands, i.e. C–H rocking and wagging located at lower wavenumbers, i.e. 1367 cm−1 and 1061 cm−1. The presence of only seven bands in the spectrum of the GO material confirms its simple composition of only three atoms (carbon, oxygen, and hydrogen).
Characterisation of GO nanofilm
The characterised GO colloid was used as the only material for nanofilm formation.
GO nanofilm was formed by applying a GO colloid to the bottom of a plastic cell culture plate and drying it. The topography of the surface of the plastic culture plate vs the nfGO-coated plate was determined by atomic force microscopy (AFM) (Fig. 2a, b). It can be seen that the morphology differed significantly between plastic and plastic coated with GO surfaces. The average roughness of the uncoated surface was Ra = 1.5 nm (Fig. 2a) and the roughness of the coated surface was Ra = 9.8 nm (Fig. 2b). Moreover, the maximum height of the roughness of the nfGO-coated plate was 67.7 nm. Some dense, transverse inequalities of GO were seen, corresponding to flakes arrangement. This structure was created through self-organisation and generated a structurally varied surface, formed by GO flakes. The average roughness of the surface increased about six times and its greatest height was less than 100 nm, which entitles it to be called a nanofilm.
The hydrophilicity of the surface covered with nfGO vs the polystyrene surface was measured. Generally, the contact surface of a water droplet on the nfGO was higher than on the uncoated plate (Fig. 2c). As shown in Fig. 2d, the area of the water droplet was increased about two times on the modified surface compared to the control; thus, the hydrophilicity of the surface increased after coating with GO.
Characterisation of liver extract
Chemical groups present on CELE and nfGO + CELE were identified by the FTIR method (Additional file 1: Figure S1). Visual inspection of spectra evidenced that the extract chemically binds to GO. Bands characteristic for extract, e.g., very intense and wide OH band originated from hydrogen bonds are present on the spectrum of nfGO + CELE. All specific bands from GO are overwhelmed by CELE bands, expect very intense C=C band at 1621 cm−1. Additionally, the band generated by triple carbon–carbon bonds present in CELE is also present in nfGO + CELE spectrum.
1735 proteins were identified in the CELE by mass spectrometry analysis. The exact formulation of these proteins has been registered in PRoteomics IDentifications Database (2020). The functions and scope of activity of the identified proteins were determined on the basis of the UniProt database, and on this basis 57 key proteins were selected that could be involved in adhesion, ECM organisation, migration, epithelial–mesenchymal transition (EMT), proliferation, cell cycle, and apoptosis of cancer cells of the liver (Table 1).
Influence of nfGO and CELE on cell morphology
The morphological picture of non-tumour HS-5 cells after 48 h of incubation on GO nanofilm, with the addition of CELE and using both factors, did not indicate pathological changes, however, some differences could be found (Fig. 3). Cells growing on the nfGO were extended and possessed large cell bodies, long protrusions, and distinct lamellipodia. Cell clusters and high cell–cell adhesion were observed on the nfGO (Fig. 3b). The CELE induced severe morphological changes in HS-5 cells, such as elongation of filopodia, reduction of cell bodies (shrunken forms), and formation of small clusters (pieces of extract) (Fig. 3c). In the nfGO + CELE group, the HS-5 cell size was reduced and tendency of cells to form clusters was observed (Fig. 3d). The morphometric analysis confirmed the increase of the cell area on the nfGO and the decrease of the cell surface in the CELE and nfGO + CELE groups. The number of cells detected by ImageJ software was reduced due to cell clusters formation in all groups (Table 2).
HepG2 and C3A liver tumour cells form natural clusters as observed in the experiment with the control groups (Figs. 4a, 5a). After 48 h of culture, HepG2 cancer cells were also not pathologically altered due to surface modification with nfGO and CELE addition. Moreover, none of the experimental factors significantly changed their morphology (Fig. 4). Although it was observed that the cells were willingly located on the GO coated surface, they appeared to be more shrunken. The CELE additive to the cells increased the total cells’ area (Table 2). In the nfGO + CELE group there were more cells not associated in clusters but migrating outside the clusters.
C3A cells also did not undergo pathological changes under the influence of experimental factors (Fig. 5). C3A cells were visible on the GO surface as well as outside it. However, the total area of cells on nfGO was reduced. Under the influence of CELE addition, a number of cells could be seen separated from clusters. In the nfGO + CELE group, a few individual cells migrated outside of the clusters.
The morphology of the cells was also observed using scanning electron microscopy (SEM). Cells were grown on plates, which were only partially covered with nfGO. This enabled cells to be visualised on the GO surface and, above all, on the border of the GO surface and the surface of the plastic dish. The image of the cells after 7 days of culture allowed an assessment of their preferences for their placement on nfGO or outside of nfGO.
HS-5 cells were evenly located both on nfGO and outside nfGO as well as on the plastic/nfGO border. Cell settlement topography did not reflect the plastic/nfGO border line, although cells on nfGO had slightly longer protrusions and were more elongated (Fig. 6).
Liver cancer cells exhibit different culture behaviour, forming characteristic clusters that have been observed with HepG2. Cluster formation was observed both on the plastic surface of the culture vessel as well as on nfGO and at the plastic/nfGO border. Observation of the image of cells colonising on nfGO showed that the cells formed looser clusters with single cells more visible. The tendencies to create groups (clusters) were clearly smaller, and the adherence of individual cells to the GO substrate seemed larger (Fig. 7).
C3A cells, like HepG2, formed clusters, colonising both the graphene surface and the plastic/nfGO border. In the nfGO group, slightly more single cells not bound into clusters were also observed (Fig. 8).
Wound healing assay
Two-dimensional migration assay was performed without scratching cells, using inserts. Cell migration was assessed after 24, 48 and 72 h of incubation on nfGO, CELE and nfGO + CELE. nfGO reduced the two-dimensional migration of HS-5 cells. Moreover, CELE did not induce statistically significant changes in wound healing. The use of both factors increased the invasion of normal cells, leaving 31% of free gap (Additional file 1: Figure S2, Table S1).
After 48 and 72 h, the strong inhibition of cancer cell invasion was observed in nfGO and nfGO + CELE groups. Results showed that CELE could enhance HepG2 cells invasion and inhibit C3A cells. Moreover, C3A cells showed a stronger ability to migrate than HepG2 cells (Additional file 1: Figures S3, S4).
Influence of nfGO and CELE on cell viability
Cell viability was measured based on conversion MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) to formazan. All experimental factors were non-toxic for cells (Fig. 9, Additional file 1: Table S2). However, HS-5 cells viability was slightly inhibited in medium with additive CELE. In contrast to normal cells, cancer cells metabolism was enhanced by CELE.
Influence of nfGO and CELE on cell proliferation
Cell proliferation was measured by using the test based on the measurement of BrdU incorporation during DNA synthesis (Fig. 10, Additional file 1: Table S3). The experimental factors did not affect the proliferation of non-tumour HS-5 cells. In contrast with HS-5 cells, nfGO, CELE, and to the greatest extent the combined factors (nfGO + CELE) reduced the proliferation of HepG2 cells. However, none of the experimental factors significantly influenced the proliferation of C3A cells.
Influence of nfGO and CELE on proliferation-associated gene expression at the mRNA level
In order to clarify the molecular basis of proliferation under the influence of the signal induced by the GO nanofilm and the addition of CELE, the mRNA expression of the pcna, ki67, and mcm2 genes was studied (Fig. 11).
The cultivation of HS-5 cells on nfGO as well as on nfGO with CELE addition resulted in a decrease in pcna expression, an increase in ki67 expression, and a tendency towards an increase in mcm2 expression. However, the addition of CELE to the medium did not change the expression of the mitotic index markers.
HepG2 tumour cells showed a slightly different response to the factors tested. Surface modification by nfGO was the reason for the increased expression of ki67 and mcm2. This was in contrast to the CELE, which reduced the expression of all genes (pcna, ki67 and mcm2). The effect of the GO surface was to reduce the CELE interaction on pcna expression. Moreover, the nfGO eliminated the effects of CELE on ki67, and the combined use of these factors was the cause of overexpression of the ki67 gene. A similar picture was observed in the case of mcm2, where the CELE effect was levelled by the surface treatment.
The influence of experimental factors on C3A cells was smaller. Some overexpression of the ki67 and mcm2 genes was observed under the influence of nfGO as well as the nfGO together with the CELE.
The cell–ECM and cell–cell connections
Integrin expression profile
The modification of the culture plate surface by using nfGO increased the expression of α1, α2, α3, α5, α6, and β4 and decreased the expression of β1 integrins in non-cancer cells HS-5 (Fig. 12, Additional file 1: Table S4). In turn, the addition of CELE elevated the expression of integrin αV and β1 and reduced the α2, α3, and β4 integrin mRNA level. The use of both factors (nfGO + CELE) caused overexpression of α1, α3, α5, and especially α4, αV, and β1 in HS-5 cells.
Integrin expression in HepG2 cancer cells was completely different. A reduction in the α3 and α5 mRNA level was found, while an increase in α1, α6, αV, and β4 was influenced by the use of graphene surfaces. The opposite effect was observed under the influence of CELE for integrins α1, α5, α6, and αV. The use of both factors was clearly the cause of integrin overexpression α2, α5, αV, and β4 in HepG2 cells (Additional file 1: Table S5).
A different effect was observed in C3A tumour cells than in HepG2. First of all, no factor influenced downregulation of integrin expression. The surface of the nanofilm induced the integrin expression α1, α2, α3, α6, αV, β1, and β4, while CELE induced an increase in α1, α2, α3, α6, αV, and β1 integrins (Additional file 1: Table S6). Interestingly, the combined use of both factors (nfGO + CELE) resulted in a decrease in the expression of most integrins compared to their use separately.
Thus, mutual enhancement of the surface effect and addition of CELE to the culture medium was observed in non-tumour cells for α4 and αV integrins and above all in HepG2 tumour cells for α2, α5, αV, and β4 integrins.
Focal adhesion kinase, cadherins and β-catenin
Gene expression for key proteins involved in the integration of mechano- and chemo-signalling between ECM–cell and cell–cell, such as fak, e-cadherin, n-cadherin, and β-catenin is presented in Fig. 12. By analysing gene expression in HS-5 cells, it was found that the surface modification by GO only significantly increased the expression of n-cadherin, while the CELE did not affect the results. The combined use of nfGO + CELE resulted in significant overexpression of all adhesion markers (Additional file 1: Table S4).
In the HepG2 liver cancer line, the use of nfGO resulted in a significant increase in the expression of genes responsible for cell–ECM adhesion (fak) as well as cell–cell adhesion (cadherins). Moreover, nfGO decreased the expression of β-catenin. Unlike other genes, the expression of β-catenin was also downregulated by CELE. The use of both factors (nfGO + CELE) clearly increased the expression of fak, e-cadherin, and n-cadherin and reduced the expression of β-catenin (Additional file 1: Table S5).
C3A cells cultured on nfGO showed higher expression of fak compared to the control group. Furthermore, we found that the CELE supplementation increased n-cadherin expression. Nanofilm GO with additive CELE increased n-cadherin and β-catenin expression of C3A cells (Fig. 13, Additional file 1: Table S6).
Effect on cell cycle
To investigate whether the mechanical signal from nfGO and a molecular signal from a CELE influence cell cycle, flow cytometric analysis was performed (Fig. 14, Additional file 1: Table S7). HS-5 cells cultured on GO nanofilm as well as cultured with additives of CELE but also treated nfGO + CELE for 7 days showed a decrease in the population of cells in S phase with a concomitant slight increase in the G0/G1 phase. Simultaneously, a reduction in the cell population in the G2/M phase was observed under the influence of CELE and nfGO + CELE.
In HepG2 cells, in contrast to non-tumour cells, a decrease in the G0/G1 phase population, slight increase the S population, and an increase in the G2/M phase population under the influence of nfGO + CELE were observed.
Observation of C3A cells showed no effect of the graphene surface on the cell cycle, although the CELE and nfGO + CELE slightly increased the population of cells in the S phase and decreased the population of cells in the G2/M phase.
Mutual interaction, signalling and cooperation between the ECM and the cell, and, moreover, the principle of feedback in these relationships are key factors determining the fate of the cell (Carloni et al. 2014; Iwasaki et al. 2016). In the present research, we wanted to clarify whether a change in the basic physicochemical parameters of the surface (mimic ECM) will change the behaviour of the cell, and especially whether it will reduce its carcinogenic potential. However, based on previous studies, we have shown that modification of the surface ECM, mainly by the effect of mechanotransduction, changes the cell's demand for functional molecules. Thus, the surface effect also depends, to a large extent, on the chemical compounds available to the cell, mainly proteins (Bałaban et al. 2020; Zielińska-Górska et al. 2020). Therefore, an attempt was made to force the cell to change its behaviour (weakening its invasiveness) by physicochemical modification of its niche together with supplying its environment with a wide spectrum of potentially useful proteins. For the first time, it has been shown that the use of mechanical stimulation (GO surface) with the addition of a protein cocktail can activate transmembrane signalling mechanisms and consequently decrease the proliferation of HepG2 liver cancer cells and reduce their carcinogenic potential.
In the present study, the surface of the culture plate was modified by a thin layer of GO which formed a nanofilm that could act on receptors located on the cell membrane but was not internalised by cells (Fiorillo et al. 2015). The newly created surface (nfGO) was a source of mechanical and chemical signal modification. The reduction of stiffness (2.3 GPa) and the increase in roughness by the nfGO, compared to clean polystyrene (3–3.5 GPa) (Chaudhuri et al. 2016; Di Crescenzo et al. 2019), resembles the differences between normal and fibrotic tissue (Liu et al. 2015; Schrader et al. 2011). Moreover, the negative charge that characterised GO also favourably changed the surface that imitated the negative charge of proteoglycans and hyaluronic acid, as opposed to collagen (Kiew et al. 2016; Stylianopoulos et al. 2010). The beneficial change in GO surface properties also concerned increasing their hydrophilicity by the presence of numerous oxygen groups, such as hydroxyl (–OH), carboxylic (–COOH), and epoxide (–O–) (Kurantowicz et al. 2017).
The second factor, the source of the cocktail of various proteins, was chicken liver embryo extract. The unpredictable demand of cells for signalling growth-structural factors under the influence of the modified surface (mimic ECM) determined the choice of CELE. Namely, a unique phenomenon of embryo growth and development has been used, consisting, inter alia, in creating a perfect, dynamic niche for extremely fast proliferating cells (Walker et al. 2018; Mu et al. 2014; Jabaily and Singer 1978). Most of the proteins from CELE were part of the perfect ECM/niche. CELE provided two types of laminins (LAMA1 and LAMC1), whose level is reduced in HCC (Carloni et al. 2014), and also only two types of collagen (COL12A1 and COL5A1) that are detected in healthy tissue but not in cancer tissue (Naba et al. 2014) as well as other important proteins include fibronectin (FN1) and vitronectin (VTN), which are responsible for the regenerative process (Klaas et al. 2016; Mayoral et al. 2005). The extract also contained functional proteins responsible for ECM modification, tight cellular connections, migration, EMT, and asymmetric cell division in embryogenesis and proliferation. However, the behaviour of the CELE proteins should be considered as a dynamically migrating and changing structures, and above all one that potentially interacts in two directions. The first is direct contact and signalling to the cell, while the second is depositing the nfGO and building the mimic ECM/niche structure (Chaudhuri et al. 2016; Essid et al. 2018). The high roughness of the graphene surface enriched with π electrons can promote cell adhesion and adsorption of ECM proteins through noncovalent π–π stacking interactions (Vernon et al. 2018; Xie et al. 2019) and form the so-called protein corona (Kopova et al. 2013; McCallion et al. 2016; Albanese et al. 2014).
The first line of contact between the cell and the ECM are integrins, which in response to signals from outside transmit information to the cell and are the source of the signalling cascade covering most of its functions (Carloni et al. 2014; Fu et al. 2007; Wang et al. 2011a, b). Integrins, heterodimeric receptors, belong to the family of adhesive proteins and contain 18 alpha subunits and 9 beta subunits occurring in 24 alpha–beta combinations (Humphries et al. 2006). However, a high level of expression of one subunit may be sufficient to alter the expression of the entire heterodimer (Arun et al. 2018). Nine key integrin subunits were identified in the conducted studies. Interestingly, the expression of examined integrins under the influence of both the surface and the CELE was definitely different in HepG2, C3A, and non-cancer HS-5 cells, which demonstrated the different sensitivity of various types of cells or/and tumours to mechanical and chemical signalling derived from the cell microenvironment. Thus, the mechanical characteristics of the substratum can be expressed due to the dynamics of integrin clusters in a cell-specific manner (Cheng et al. 2020). What's more, it confirms the thesis of the need for targeted therapy and the risk of obtaining a negative effect in mismatched therapy. Additionally, C3A cells cause a higher resistance to treatment than the HepG2 cell line (Sosnowska et al. 2019). C3A cells produce more albumin and alpha-fetoprotein than HepG2 cells and can grow in the glucose-deficient medium. Albumins and alpha-fetoprotein from C3A can adsorb onto nanomaterials, form protein corona, change the interaction nfGO-cells, and mitigate the effect of nfGO (Marchesan et al. 2014; Nguyen et al. 2018).
Integrins are involved in every stages of cancer progression, including cancer initiation and proliferation, local invasion and intravasation into vasculature, survival of circulating tumour cells, priming of the metastatic niche, extravasation into the secondary site and metastatic colonisation on the new site. Furthermore, integrins play a role in regulation of protease expression, transport and activation of white blood cells, chronic inflammation, angiogenesis and immune mimicry, and by which they determine disease state (Hamidi and Ivaska 2018). Studies on integrin expression still do not allow for an unambiguous arrangement of their role and significance depending on the type of cells, type of cancer and phenotype of cancer cells, stage of cancer, and metastasis. Discrepancies in information on integrins result from the heterogeneity of samples, the use of different methodologies to assess cancer advancement and, consequently, fluctuations in the expression of integrins at different stages of disease progression. It is now known that impaired expression of integrins affect the development of many cancers, i.e. acute lymphoblastic leukaemia, breast cancer, colorectal cancer, cervical cancer, oesophageal squamous cell carcinoma, gastric cancer, lung cancer, malignant melanoma, ovarian cancer and many others (Hamidi and Ivaska 2018). Nevertheless, numerous studies have allowed for the creation of a map of plausible integrin heterodimers as therapeutic cancer targets (Humphries et al. 2006). Most integrin genes are upregulated in HCC for example α1 integrin (Liu et al. 2002). However, studies have shown that reduced expression of some subunits, including α2, α3, α5 and β4, occurs in HCC (Mayoral et al. 2005), malignant melanoma and breast cancer (Hamidi and Ivaska 2018). Our results show that the use of CELE and nfGO increased the expression of integrins that play a suppressor role. Based on the analysis of the expression of selected integrins in liver tumours compared to healthy tissue, αV and β1 subunits can be indicated as the most frequently recurring in typed heterodimers (Fu et al. 2007; Arun et al. 2018). In our studies, the expression of β1 integrins did not change under the influence of the factors used in HepG2 cells, in contrast to C3A cells. This confirms the diverse response of different types of tumours and above all may suggest the procancerogenic activity of both nfGO and CELE for the C3A tumour line. Analysis of αV integrin expression also confirms the adverse effects of the CELE and nfGO in C3A cells. However, in HepG2 cells, the expression of integrin αV was lower under the influence of CELE, although higher under the influence of surface modification with GO nanofilm. Integrin αV is upregulated in many tumour cells, making it a promising therapeutic target. Most integrins, including αV, can bind various ligands, e.g., fibronectin and vitronectin (Humphries et al. 2006). Despite the presence of these ligands in the extract, there was no increase in expression of the αV subunit, which is considered to be a marker of liver fibrosis. In addition, the extract reduced expression of the α6 subunit, which is involved in treatment resistance, spheroid and exosome formation, and metastasis (Mayoral et al. 2005; Wu et al. 2018). An inhibitor of αV integrin is a new drug for the treatment of glioblastomas that is being verified in a phase III clinical trial (Arun et al. 2018). However, this therapeutic method of blocking integrin antibodies is not an excellent solution and is not always effective. The reason for the ineffectiveness of such a therapy may be that integrin overexpression may be a survival signal and result from feedback (ECM—cell) in which the cell does not adhere to a degraded niche, which in turn promotes metastasis (Alday-Parejo et al. 2019). Thus, the desperate attempt of the cell to contact the ECM/niche and consequently the increase of integrin expression may be greater the more its environment is degraded. Paradoxically, despite being a kind of "striving for normality", it is proportional to the carcinogenicity and metastasis potential. Moreover, most studies do not take into account the physicochemical state of the extracellular matrix, which is the largest regulator of integrin expression and activity, especially when faced with a very large number of ligands present in the ECM and cell surface adhesion proteins that bind integrins. The presence or absence of specific ligands in the ECM appears to be crucial for integrin expression and status. Culturing HepG2 cells on nfGO reduced the expression of the laminin binding α3 integrin and fibronectin binding α5 subunits in HepG2 cancer cells (Wang et al. 2011a, b). Laminin and fibronectin are involved in the formation of dynamic cell binding to ECM. Furthermore, they mediate cell binding to collagen (Walker et al. 2018). The α5β1 integrin is the most important fibronectin receptor that binds to RGD-containing peptides. It can be assumed that nfGO has become a structure that imitates laminin and fibronectin, becoming a surface that promotes HepG2 cell adhesion (Chaudhuri et al. 2016; Yu et al. 2019). Although it seems more likely that the protein corona, made up of proteins available in the culture medium, exposed ligand-like structures on the surface. However, by analysing the expression of α 5, overexpression of this gene was observed when CELE was added to the culture medium. This expected effect was probably the result of the increased availability of ligands (fibronectin) in the culture medium, whose source was CELE, and activation of their binding to alpha 5 integrin, however, independent of the surface. Interestingly, surface modification and simultaneous addition of CELE increased the expression of the integrin α5 subunit, which can be explained by the increased availability of ligands through binding them to nfGO. The nfGO roughness was greater than the culture plastic plate, but also proteins’ noncovalent π–π stacking interactions (Vernon et al. 2018) could increase the amount of bottom-related proteins. Furthermore, this interaction could be preferentially directed to the RGD-mimicking GO motif due to tryptophan, which also has π–π interactions due to the aromatic ring (Vernon et al. 2018; Koivunen et al. 1994). Moreover, the use of both factors enhanced expression of the α5 subunit to the greatest extent. This integrin is involved in cell strong adhesion, and thus we paid attention to the proteins involved in cell–ECM and cell–cell adhesion mechanisms.
Mechanotransduction resulting from integrin clustering dynamics, depending on the rigidity of the substrate, is associated with FAK phosphorylation (Cheng et al. 2020). The expression of fak increased in HS-5 and HepG2 cultivated on nfGO with CELE supplementation. GO may reduce (Wang et al. 2011a, b; Zhu et al. 2017) or enhance fak expression (Lasocka et al. 2019), which may depend on the presence of ligands, and consequently in our research, CELE was added to prevent this. Liver cells are anchor-dependent cells in which the level of fak increases in suspension culture (Cance et al. 2000; Shang et al. 2019; Ren et al. 2015). The tested cells adhered tightly to the surface, so overexpression of fak resulted from increased via integrin signalling, conditioned by strong cell adhesion to nfGO + CELE, and it could be a signal of cell survival in the proadhesive but antiproliferative niche (Bai et al. 2009).
The cadherin–catenin complex carries the mechanotransduction signal between the cytoplasm of neighbouring cells (Mui et al. 2016). High expression of E-cadherin is a characteristic feature of epithelial cells; it inhibits translocation of β-catenin into the nucleus and promotes better prognosis in cancer therapy (Zhang et al. 2017). Expression of adhesive protein genes such as e-cadherin and n-cadherin was higher under the influence of GO nanofilm and nfGO + CELE, especially in HepG2 cells, but most important was a reduction in β-catenin expression in these cells (Kim et al. 2019; Shang et al. 2019; Kasprzak et al. 2017). Our results, like Mu et al. (2014) showed that cells increase the expression of E-cadherin on nfGO, moreover, in view of the fact that the weakening of tight connections (E-cadherin expression) and an increase in flexible cell–cell contacts (N-cadherin expression) is characteristic of HCC (Mu et al. 2014). Thus, the increase in expression of two types of intercellular junctions suggests that the experimental factors used (nfGO and CELE) did not increase the invasion of HepG2 cells (Mu et al. 2014; Kasprzak et al. 2017; Luo et al. 2019). These results are also confirmed by the observation of cell morphology, which reflects the cell–ECM and cell–cell relationship and also indicates material biocompatibility (Jabaily and Singer 1978; Kurantowicz et al. 2015; Strojny et al. 2015; Szmidt et al. 2016).
First of all, tendencies to form smaller cell clusters and a larger number of single cells strongly associated with the GO surface were observed in both HepG2 and C3A groups. This confirms the biocompatibility of the GO plane (Di Crescenzo et al. 2019) and also indicates one- and several-cell migration instead of collective migration, which is characteristic of abnormal ECM (Haeger et al. 2014). Furthermore, the roughness and elasticity of GO as a mimic ECM could advantageously imitate the natural ECM mosaic, and it was preferentially selected by all cells (Chaudhuri et al. 2016). The effect of CELE was slightly different for HS-5 cells and liver cancer cells. This may be due to the fact that it contained more ligands and other factors needed by the liver cell rather than the connective tissue cell. Our research and that of other authors may indicate that extracts from chicken embryo (Mu et al. 2014), zebrafish (Cucina et al. 2006), and amphibian oocyte (Allegrucci et al. 2011) are excellent cocktails of factors preventing metastatic phenotype.
External mechanical–chemical stimuli, received through integrin-dependent mechanisms transmitted to the cell, create a cascade of events that determine the fate and purpose of the cell. Analysing the cell cycle, it was observed that the population in G0/G1 phase decreased only in the case of HepG2 cells. Furthermore, mcm2 and pcna gene analysis confirmed a decrease in cell population in G1 and S phases, respectively. pcna and mcm2 gene products are involved in the DNA replication process as chaperons for polymerase. High expression of pcna at the mRNA level is observed in venous invasion of colorectal cancer with liver metastases (Yue et al. 2003). During hepatocarcinogenesis, most MCM family proteins are elevated, including MCM2, MCM6, MCM8, and MCM10. Research reports that MCM2 is a biomarker of esophageal and bladder cancer in initial diagnosis (Liu et al. 2018). Thus, reduction of proliferation markers expression, i.e. pcna and mcm2, can protect against uncontrolled proliferation and relapses. Our research and Wang et al. (2011a, b) showed that overexpression of the α5 subunit inhibits the proliferation and invasiveness of cancer cells (Wang et al. 2011a, b). Therefore, proper cell adhesion overcame the first proliferation checkpoint, i.e. the transition from the G1 phase to the S phase (Moreno-Layseca and Streuli 2014). In most human cancers, the G0/G1 checkpoint does not completely stop the cell cycle as opposed to G2/M (Yin et al. 2017). In the present work, the use of CELE and also two factors (nfGO + CELE) increased the population of HepG2 cells in the G2/M phase, thus preventing cells with damaged DNA from entering the M phase and allowing damage repair (Sosnowska et al. 2019). Ultimately, the total population of HepG2 cells in the active phase of the cell cycle was increased, in particular in G2/M phase. The ki67 is a prognostic indicator of patients' survival and is more strongly expressed in malignant, rapidly proliferating cells than in normal cells. Moreover, high ki67 expression correlates with metastases and poor prognosis for breast, lung, intestine and prostate cancer (Li et al. 2015; Guzman et al. 2005) and with relapses after hepatectomy (Li et al. 2018). Therefore, there are studies on blocking ki67 using siRNA and anti-ki67 antibodies (Li et al. 2015). The use of both factors caused cell cycle arrest in the G2/M phase, the phase in which ki67 is most expressed. Moreover, many extract proteins (including nitrilase 2 (NIT2), DNA-binding protein 43 (TARDBP) and dynein light chain) adsorbed on nfGO or available in the medium may have been involved in arresting the cell cycle in the G2/M phase (Cucina et al. 2006; Lin et al. 2007; Lee et al. 2012). Our results and Jabaily et al. (1978) confirm that liver extract was a universal source of missing proteins, and in the future, it may modulate the proliferation of various cell lines including bone marrow and muscle cells (Jabaily and Singer 1978). The final and fundamental evidence of the loss of HepG2 cell invasiveness is a reduction of proliferation in the BrdU test of more than 40% compared to the control, which was not observed in non-cancerous cells.
All of these data indicate that graphene oxide and a cocktail of proteins that formed the dynamically changing proteome of the cell environment, migrating in the culture medium to the GO plane and the cell and therefore available multilevel (as a source of ligands and other proteins and as a modulator of the chemical characteristics of the graphene surface), may have therapeutic effects on HepG2 liver cancer. ECM therapy may have the effect of supporting traditional treatment, especially since degraded ECM characteristic for tumours becomes a pro-tumour factor and, in any case, hinders treatment.
In the present study, we indicated the possibility of using the so-called ECM therapy as an option to support the treatment of some cases of liver cancer. For the first time, it has been documented that for the HepG2 cancer cell line, the use of mimic ECM in the form of a graphene oxide nanofilm enriched with a natural protein cocktail, being the source of ligands for integrins and a wide range of other missing proteins, is the source of a mechano–chemo transduction signal. This signal, via integrin expression, adhesion, morphology change, and cell cycle arrest in the G2/M phase, reduces the proliferation of tumour cells. The research is preliminary and requires further precise experiments.
Characterisation of GO nanoparticles and GO nanofilms
Characterisation of GO nanoparticles
GO flakes, as a water dispersion at a concentration of 4 mg/mL, were purchased from NANOPOZ (Poznan, Poland) and produced by the modified Hummers method. This nanomaterial, after dispersion into ultrapure Milli-Q water to prepare 50 mg/L solutions, was sonicated for 15 min in an ultrasonic bath (Bandelin Electronic, Berlin, Germany) to avoid agglomeration. The shape and size of the GO flakes were characterised using transmission electron microscopy (TEM: JEM-1220 JEOL, Tokyo, Japan). TEM was connected to a camera (SIS Morada 11 megapixels) and operated by ITEM Olympus Soft Imaging Platform. Six pictures were taken of two independent samples. Zeta potential was measured in triplicate with a Nano-ZS90 Zetasizer (Malvern Instruments, Malvern, UK) operated by Zetasizer software 7.13.
The Fourier transform infrared spectra of GO were acquired using a Perkin Elmer System 2000 instrument (MA, USA) operated by Pegrams software in the range of 400–4000 cm–1. Solid-state samples were milled with potassium bromide (KBr) crystals in an approximate ratio of 1:300 mg. The solid mixture was milled in a laboratory mill (Specac) to obtain a fine powder. Then, 8 tons of pressure was applied for 2 min to prepare transparent thin pellets. A total of 25 scans were conducted for every sample. The infrared absorption of water vapour and carbon dioxide was mostly eliminated. Spectra were processed with baseline correction and Fourier smoothing, with 90% smoothing, to remove undesired noise. Spectra are presented as transmission (dependent variable) against wavenumber (independent variable).
Preparation and characterisation of GO nanofilms
A GO aqueous solution (1000 mg/L) was sonicated for 30 min before preparing the nanofilm. GO was used to form nanofilms by applying the solution to the bottom of ordinary polystyrene plates (353046, Falcon, Tewksbury, MA, USA) (Sawosz et al. 2017). A GO solution was dried at room temperature in a laminar chamber for day. A 1 cm2 polystyrene surface was covered with 105 µg of carbon solution. As a result of self-assembly, the resultant surface was a stable, multilayer, thin nanofilm that adhered perfectly to the bottom of the plastic wells. Thus, GO coating was deposited on polystyrene plates by solvent evaporation from graphene nanoflake solutions. However, the nanofilm could be damaged when taking it out.
The AFM method (Nanosurf, Liestal, Switzerland) was used to characterise the morphology of the plastic plate and GO coated plate including average roughness and maximum height of the roughness. Six pictures were taken of two independent samples.
The water contact surface on an uncoated and GO coated surface was measured by the sessile drop technique, i.e. a 20-µL drop of water was placed on the investigated surface and a picture was taken. Five measurements of the contact surface were detected to characterise the GO film wettability during liquid spreading and dewetting using a stereomicroscope (SZX10, CellD software version 3.1; Olympus Corporation, Japan). Water area (mm2) was calculated using ImageJ® 1.48v (National Institutes of Health, Bethesda, MD, USA).
To evaluate the preferences of cell placement on and outside the nanofilm, the GO colloidal solution partially coated the culture plate. After nfGO was dried, we were able to observe cell migration and the affinity of cells to the nanofilms using SEM.
Preparation and characterisation of extract (CELE)
Preparation of CELE and bicinchoninic acid protein assay (BCA)
Livers from 10-day chicken embryos were removed and used for protein isolation. Whole-liver protein extracts were prepared with a TissueLyser LT instrument (Qiagen, Hilden, Germany) using 8 g of tissue and 20 mL of Milli-Q water. The homogenate was centrifuged at 3000 rpm for 10 min. The precipitate was removed, and the supernatant was transferred to new tubes. The total protein content was determined in six repetitions using a BCA Protein Assay Kit according to the manufacturer's recommendations (Sigma-Aldrich, St. Louis, MO, USA). The extract was added at a volume ratio of 1 mL of extract per 100 mL of Dulbecco's modified Eagle’s me (DMEM) to obtain a 1% extract in DMEM.
Protein extract (150 µL, 24.6 mg/mL) was concentrated using Vivacon 500, 10 000 MWCO hydrosart filters and washed twice. Proteins were reduced by the addition of 50 µL of washing buffer (8 M urea in 100 mM NH4HCO3 aqueous solution) with 20 mM tris(2-carboxyethyl) phosphine and incubated for 30 min. After centrifugation, proteins were alkylated with 50 µL of 20 mM indole-3-acetic acid in washing buffer and then spun. Digestion was performed with the protease mix LysC/Tryp (V507A, Promega, Madison, WI, USA). First, 40 µL of a solution was added to the filter and incubated for 3 h at 37 °C, and then, 400 µL of NH4HCO3 was added, and samples were incubated overnight at 37 °C. After centrifugation, the solution was acidified with a final concentration of 0.4% trifluoroacetic acid (TFA) and speed-vacuumed to dryness. The peptide mixture was fractionated using a high pH protocol on an Oasis HLB 10 mg cartridge (Waters 186000383). Cartridges were activated by washing with methanol and equilibrated with 25 mM ammonium formate, pH 10. The protein pellet was resuspended in 400 µL of 25 ammonium formate (pH 10) and loaded on a cartridge. The elution was carried out with an increasing gradient of acetonitrile in loading buffer and with pure methanol (last elution). All fractions were dried, and pellets were resuspended in 60 µL of 0.1% TFA with 2% MeCN. MS analysis was performed via LC–MS in the Laboratory of Mass Spectrometry (IBB PAS, Warsaw) using a nanoAcquity UPLC system (Waters) coupled to an LTQ-Orbitrap Q Exactive mass spectrometer (Thermo Fisher Scientific, Waltham, MA, USA). The mass spectrometer was operated in the data-dependent MS2 mode, and data were acquired in the m/z range of 200–2000. Peptides were separated by a 180 min linear gradient of 95% solution A (0.1% formic acid in water) to 45% solution B (acetonitrile and 0.1% formic acid). The measurement of each sample was preceded by three washing runs to avoid cross-contamination. Data were analysed with the Max-Quant 126.96.36.199 platform (Cox and Mann 2008; Tyanova et al. 2015). The Gallus gallus reference proteome database from UniProt was used.
Interference spectra of GO with CELE
To obtain the interference spectra of the two factors, GO aqueous solution (1000 mg/L) were mixed with DMEM containing 1% CELE in ratio 1:2. Mixture was incubated at 37 °C overnight. The next day, mixture was centrifuged at 2000 rpm for 10 min and washed to get rid of proteins not bound to GO. The Fourier transform infrared spectra of nfGO + CELE were acquired using a Perkin Elmer System 2000 instrument as previously described.
Cell cultures and treatments
The liver cancer cell lines HepG2 (HB-8065) and C3A (CRL-10741) and the non-cancer bone marrow stromal cell line HS-5 (CRL-11882) were obtained from ATCC (Manassas, VA, USA). Cell cultures were maintained at 37 °C under 5% CO2 in DMEM, Low Glucose (Gibco, Thermo Fisher Scientific) supplemented with 10% foetal bovine serum (FBS, Thermo Fisher Scientific), penicillin (100 U/mL), and streptomycin (100 mg/mL, Thermo Fisher Scientific). Cells were seeded on 6-well plates (1.5 × 105 cells in each well), and the cultures were maintained for 48 h and 7 days.
All experiments were conducted according to the following scheme: (1) no treatment group—control; (2) group using the nfGO; (3) group with the addition of CELE in an amount of 1% of the culture medium—CELE; (4) group using the nfGO with the addition of CELE in an amount of 1% of the culture medium—nfGO + CELE. CELE components were added as serum-like supplements to medium. The medium containing CELE was incubated on nfGO at 22 °C for 5 min. Finally, the cells were added onto the CELE-loaded nfGO.
Viability assessment of cells cultivated on the nfGO and/or with the addition of CELE was performed using MTT assay (No. ab211091, Abcam, Cambridge, UK). Cells were seeded on the 96-well microplates at a concentration 2 × 104 cells/well. All of the treatment groups were examined in six repetition. Cells were cultured for 48 h, and then DMEM was removed. Serum free DMEM (50 µL) and MTT reagent (50 µL) were added into each well. After 3 h at 37 °C, mixture containing DMEM and MTT was removed and cells were lysed using 150 µL of MTT solvent. The results were examined using Tecan Infinite 200 microplate reader (Tecan, Durham, NC, USA) at 590 nm.
Cell proliferation was studied using a bromodeoxyuridine (BrdU) incorporation assay (BrdU colorimetric) (Roche Applied Science, Indianapolis, IN, USA). HS-5, HepG2, and C3A cells were seeded in the 96-well microplates according to the scheme described in the “Cell cultures and treatments” section at a concentration 7 × 103 cells/well. All of the treatment groups were examined in six repetitions. Cells were cultivated for 24 h, and then 20 µL of 100 µM BrdU solution in DMEM was added to each well of the cultured cells. The cells were labelled with BrdU for 24 h. All further steps were carried out according to the manufacturer’s instructions. Cell proliferation was analysed using a Tecan Infinite 200 microplate reader at 370 nm with a reference wavelength of 492 nm.
To assess cell morphology, an inverted light microscope (Leica, TL-LED, Wetzlar, Germany) was used. The instrument was connected to a digital camera (Leica MC190 HD) and operated with LAS V4.10 software (Leica). The cells were stained using haematoxylin–eosin after 48 h of incubation. Six pictures were taken of two independent samples. Morphometric analysis of 10× magnification images was performed using the ImageJ software.
Cell invasion was assessed using culture-insert 2 well (No. 80209, Animalab, Germany) in 6-well plate. The total area of 6-well plate was uncoated (control, CELE) or coated by nfGO (nfGO, nfGO + CELE). Cells were seeded at a concentration 5 × 104 cells/well and cultivated in culture-insert 2 well to achieve a monolayer. The growth area in culture-insert was 0.22 cm2 per well. Width of cell free gap was 500 µm ± 100 µm. After 24 h of incubation, inserts were removed, and the cell layer was washed with PBS. The plate was filled with 2 mL of medium in each well, and cells were cultivated for 48 h. Cells were fixed with methanol and stained with hematoxylin–eosin. Photographs were taken at the same area at 10× magnification of the wound using inverted light microscope. Images analysis was performed using ImageJ.
Scanning electron microscopy
Microstructures of cell morphology were evaluated using SEM. HS-5, HepG2 and C3A cells were seeded on 6-well plates uncoated and coated with nfGO. After 7 days of exposure, the cells were rinsed in phosphate-buffered saline (PBS, pH 7.2) and then fixed in 2.5% glutaraldehyde (G5882, Sigma-Aldrich) for 20 min. Cells were incubated in osmium tetroxide (OsO4) and then in freshly made 1% carbohydrazide and fixed again in OsO4 for 30 min. After thorough rinsing, the plates were cut to fit the critical point dryer (Polaron CPD 7501, Quorum Technologies, Laughton, UK). Cells were dehydrated through a hexylene glycol series (Sigma-Aldrich). Samples were placed on aluminium SEM stubs. Six pictures were taken of two independent samples.
The cell cycle was evaluated using flow cytometry (FACSCalibur, Becton Dickinson, Franklin Lakes, NJ, USA). Cell cycle analysis, based on DNA content, was performed according to the UC San Diego Health Sciences (2019), using CellQuest Pro software. Cells were cultured in 6-well plates for one week as described in “Cell cultures and treatments” section. Cells were detached with trypsin, which was neutralised with fresh DMEM. After centrifugation, cell pellets were washed, resuspended in PBS (1 mL), fixed with 9 volumes of 70% ethanol at 4 °C for 24 h. For propidium iodide (PI, 500 µg/mL) staining, after centrifugation, each sample of cells was resuspended in 500 µL of staining solution. The staining solution contained RNAse A (2 µL, Thermo Fisher Scientific), PI (20 µL, Thermo Fisher Scientific), Tween 20 (0.5 µL), and PBS (477.5 µl). After incubation for 30 min, the cells were analysed by flow cytometry by measuring the fluorescence emission at 530 nm and 575 nm (or equivalent) using excitation at 488 nm. Each measurement was repeated three times.
Cell cultures were maintained according to the previously described scheme. After 7 days of incubation, cells in 6-well plates were detached with trypsin and collected by centrifugation. All steps of RNA isolation were performed according to the protocol from the manufacturer Macherey-Nagel (No. 740955.250, Düren, Germany). The RNA concentration in each sample after isolation was determined using a NanoDrop 2000 spectrophotometer (Thermo Fisher Scientific). RNA was stored at − 80 °C.
The RNA level in all samples was equalised, and 10 μL of RNA mixture in water was used for cDNA synthesis using a High-Capacity cDNA Reverse Transcription Kit (No. 4368814, Applied Biosystems, Foster City, CA, USA). The procedure was performed according to the manufacturer’s protocol with the following cycle conditions: 10 min at 25 °C, 120 min at 37 °C and store at 4 °C. cDNA synthesis was performed using a 2720 Thermal Cycler (Thermo Fisher Scientific). ssDNA concentration was measured with the NanoDrop 2000 (Thermo Fisher Scientific), and 300 µL of 20 ng/μL ssDNA was prepared. ssDNA samples were kept at − 20 °C.
Gene expression at the mRNA level was measured using the ΔΔCT relative quantification real-time PCR method. The reaction mixture was prepared using Power SYBR™ Green PCR Master Mix (Thermo Fisher Scientific), 10 µM forward primers, 10 µM reverse primers, and RNase/DNase-free water at a ratio of 10:1:1:1.3. Then, 5 µL of 100 ng of ssDNA was added to 10 µL of the reaction mixture. The primers used for real-time PCR are presented in Table 3. Glyceraldehyde-3-phosphate dehydrogenase (gapdh) was used as the reference house-keeping gene. The study was performed using a StepOnePlus™ Real-Time PCR System (Thermo Fisher Scientific) with the following settings: 95 °C for 10 min, followed by 40 cycles of 95 °C for 15 s and 60 °C for 60 s. StepOneTM Software 2.2.2 was used to asses gene expression. All reactions were performed in triplicate, and the experiment was run two independent times. The ΔCT value was calculated from the formula CT gene − CT GAPDH and used to investigate statistical significance. The − ΔΔCT value is expressed as the relative gene expression (ΔCT control − ΔCT treated group).
The data were analysed using analysis of variance—ANOVA (for analysis of more than two research groups) or an unpaired t-test using GraphPad Prism software version 8.1.2 (GraphPad Software Inc., La Jolla, CA, USA). The differences between the groups determined by ANOVA were assessed with Bonferroni's multiple comparisons test. Differences with a p-value ≤ 0.05 were defined as statistically significant compared to the control group: one asterisk (*), p-value < 0.05; two asterisks (**), p-value < 0.01; three asterisks (***), p-value < 0.001.
Availability of data and materials
The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
Atomic force microscopy
Analysis of variance
American Type Culture Collection
Bicinchoninic acid protein assay
Chicken embryo liver extract
Collagen alpha-1(XII) chain
Collagen alpha(XIV) chain
Collagen alpha(XVI) chain
Collagen alpha-1(V) chain
Dulbecco's modified Eagle’s medium
Epidermal growth factor receptor
Focal adhesion kinase
Foetal bovine serum
Fourier transform infrared
Hematoxylin and eosin
Hepatitis B virus
Hepatitis C virus
Laminin subunit alpha-1
Laminin subunit gamma-1
Minichromosome maintenance protein complex 2
Graphene oxide nanofilm
Proliferating cell nuclear antigen
Scanning electron microscopy
DNA-binding protein 43
Transmission electron microscopy
Vascular endothelial growth factor
Albanese A, Walkey CD, Olsen JB, Guo H, Emili A, Chan WCW. Secreted biomolecules alter the biological identity and cellular interactions of nanoparticles. ACS Nano. 2014;8(6):5515–26. https://doi.org/10.1021/nn4061012.
Alday-Parejo B, Stupp R, Rüegg C. Are integrins still practicable targets for anti-cancer therapy? Cancers. 2019;11(7):978. https://doi.org/10.3390/cancers11070978.
Allegrucci C, Rushton MD, Dixon JE, Sottile V, Shah M, Kumari R, et al. Epigenetic reprogramming of breast cancer cells with oocyte extracts. Mol Cancer. 2011;10(1):1–14. https://doi.org/10.1186/1476-4598-10-7.
Arun AS, Tepper CG, Lam KS. Identification of integrin drug targets for 17 solid tumor types. Oncotarget. 2018;9(53):30146–62. https://doi.org/10.18632/oncotarget.25731.
Baglieri J, Brenner DA, Kisseleva T. The role of fibrosis and liver-associated fibroblasts in the pathogenesis of hepatocellular carcinoma. Int J Mol Sci. 2019;20(7):1723. https://doi.org/10.3390/ijms20071723.
Bai XM, Zhang W, Liu NB, Jiang H, Lou KX, Peng T, et al. Focal adhesion kinase: important to prostaglandin E2-mediated adhesion, migration and invasion in hepatocellular carcinoma cells. Oncol Rep. 2009;21(1):129–36. https://doi.org/10.3892/or_00000199.
Baiocchini A, Montaldo C, Conigliaro A, Grimaldi A, Correani V, Mura F, et al. Extracellular matrix molecular remodeling in human liver fibrosis evolution. PLoS ONE. 2016;11(3):e0151736. https://doi.org/10.1371/journal.pone.0151736.
Bałaban J, Wierzbicki M, Zielińska M, Szczepaniak J, Sosnowska M, Daniluk K. Effects of graphene oxide nanofilm and chicken embryo muscle extract on muscle progenitor cell differentiation and contraction. Molecules. 2020;25(8):1991. https://doi.org/10.3390/molecules25081991.
Cance WG, Harris JE, Iacocca MV, Roche E, Yang X, Chang J, et al. Immunohistochemical analyses of focal adhesion kinase expression in benign and malignant human breast and colon tissues: correlation with preinvasive and invasive phenotypes. Clin Cancer Res. 2000;6(6):2417–23.
Carloni V, Luong TV, Rombouts K. Hepatic stellate cells and extracellular matrix in hepatocellular carcinoma: more complicated than ever. Liver Int. 2014;34(6):834–43. https://doi.org/10.1111/liv.12465.
Chaudhuri PK, Loh KP, Lim CT. Selective accelerated proliferation of malignant breast cancer cells on planar graphene oxide films. ACS Nano. 2016;10(3):3424–34. https://doi.org/10.1021/acsnano.5b07409.
Chehelcheraghi F, Eimani H, Sadraie SH, Torkaman G, Amini A, Shemshadi H. Improved viability of random pattern skin flaps with the use of bone marrow mesenchymal-derived stem cells and chicken embryo extract. Iran J Basic Med Sci. 2015;18(8):764–72.
Chen TC, Lai CH, Chang JL, Chang SW. Mitomycin C retardation of corneal fibroblast migration via sustained dephosphorylation of paxillin at tyrosine 118. Invest Ophth Vis Sci. 2012;53(3):1539–47. https://doi.org/10.1167/iovs.11-9203.
Cheng B, Wan W, Huang G, Li Y, Genin GM, Mofrad MRK, et al. Nanoscale integrin cluster dynamics controls cellular mechanosensing via FAKY397 phosphorylation. Sci Adv. 2020;6(10):eaax1909. https://doi.org/10.1126/sciadv.aax1909.
Cox J, Mann M. MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification. Nat Biotechnol. 2008;26(12):1367–72. https://doi.org/10.1038/nbt.1511.
Cucina A, Biava PM, D’Anselmi F, Coluccia P, Conti F, di Clemente R, et al. Zebrafish embryo proteins induce apoptosis in human colon cancer cells (Caco2). Apoptosis. 2006;11(9):1617–28. https://doi.org/10.1007/s10495-006-8895-4.
DeBerardinis RJ, Chandel NS. Fundamentals of cancer metabolism. Sci Adv. 2016;2(5):e1600200. https://doi.org/10.1038/nrc2981.
Di Crescenzo A, Zara S, Di Nisio C, Ettorre V, Ventrella A, Zavan B, et al. Graphene oxide foils as an osteoinductive stem cell substrate. Acs Appl Bio Mater. 2019;2(4):1643–51. https://doi.org/10.1021/acsabm.9b00041.
Dingemans AM, van den Boogaart V, Vosse BA, van Suylen RJ, Griffioen AW, Thijssen VL. Integrin expression profiling identifies integrin alpha5 and beta1 as prognostic factors in early stage non-small cell lung cancer. Mol Cancer. 2010;9(1):152. https://doi.org/10.1186/1476-4598-9-152.
Essid N, Chambard JC, Elgaaïed AB. Induction of epithelial–mesenchymal transition (EMT) and Gli1 expression in head and neck squamous cell carcinoma (HNSCC) spheroid cultures. Bosn J Basic Med Sci. 2018;18(4):336–46. https://doi.org/10.17305/bjbms.2018.3243.
Fiorillo M, Verre AF, Iliut M, Peiris-Pagés M, Ozsvari B, Gandara R, et al. Graphene oxide selectively targets cancer stem cells, across multiple tumor types: implications for non-toxic cancer treatment, via “differentiation-based nano-therapy.” Oncotarget. 2015;6(6):3553–62. https://doi.org/10.18632/oncotarget.3348.
Fu Y, Fang Z, Liang Y, Zhu X, Prins P, Li Z, et al. Overexpression of integrin β1 inhibits proliferation of hepatocellular carcinoma cell SMMC-7721 through preventing Skp2-dependent degradation of p27 via PI3K pathway. J Cell Biochem. 2007;102(3):704–18. https://doi.org/10.1002/jcb.21323.
Guzman G, Alagiozian-Angelova V, Layden-Almer JE, Layden TJ, Testa G, Benedetti E, et al. p53, Ki-67, and serum alpha feto-protein as predictors of hepatocellular carcinoma recurrence in liver transplant patients. Modern Pathol. 2005;18(11):1498–503. https://doi.org/10.1038/modpathol.3800458.
Haeger A, Krause M, Wolf K, Friedl P. Cell jamming: collective invasion of mesenchymal tumor cells imposed by tissue confinement. Biochim Biophys Acta. 2014;1840(8):2386–95. https://doi.org/10.1016/j.bbagen.2014.03.020.
Hamidi H, Ivaska J. Every step of the way: integrins in cancer progression and metastasis. Nat Rev Cancer. 2018;18(9):533–48. https://doi.org/10.1038/s41568-0038-z.
Han T, Kang D, Ji D, Wang X, Zhan W, Fu M, et al. How does cancer cell metabolism affect tumor migration and invasion? Cell Adhes Migr. 2013;7(5):395–403. https://doi.org/10.4161/cam.26345.
Hernandez-Gea V, Toffanin S, Friedman SL, Llovet JM. Role of the microenvironment in the pathogenesis and treatment of hepatocellular carcinoma. Gastroenterology. 2013;144(3):512–27. https://doi.org/10.1053/j.gastro.2013.01.002.
Humphrey JD, Dufresne ER, Schwartz MA. Mechanotransduction and extracellular matrix homeostasis. Nat Rev Mol Cell Biol. 2014;15(12):802–12. https://doi.org/10.1038/nrm3896.
Humphries JD, Byron A, Humphries MJ. Integrin ligands at a glance. J Cell Sci. 2006;119(19):3901–3. https://doi.org/10.1242/jcs.03098.
Iredale JP, Thompson A, Henderson NC. Extracellular matrix degradation in liver fibrosis: biochemistry and regulation. Bba-Mol Basis Dis. 2013;1832(7):876–83. https://doi.org/10.1016/j.bbadis.2012.11.002.
Iwasaki A, Sakai K, Moriya K, Sasaki T, Keene DR, Akhtar R, et al. Molecular mechanism responsible for fibronectin-controlled alterations in matrix stiffness in advanced chronic liver fibrogenesis. J Biol Chem. 2016;291(1):72–88. https://doi.org/10.1074/jbc.M115.691519.
Jabaily J, Singer M. Neurotrophic and hepatotrophic stimulation of proliferation of embryonic chick muscle cells in vitro: assay and partial characterization of mitogenic activity in chick embryonic organ and tissue extracts. Dev Biol. 1978;64(2):189–202. https://doi.org/10.1016/0012-1606(78)90071-4.
Kasprzak A, Rogacki K, Adamek A, Sterzyńska K, Przybyszewska W, Seraszek-Jaros A, et al. Tissue expression of β-catenin and E- and N-cadherins in chronic hepatitis C and hepatocellular carcinoma. Arch Med Sci. 2017;13(6):1269–80. https://doi.org/10.5114/aoms.2017.65272.
Kiew SF, Kiew LV, Lee HB, Imae T, Chung LY. Assessing biocompatibility of graphene oxide-based nanocarriers: a review. J Control Release. 2016;226:217–28. https://doi.org/10.1016/j.jconrel.2016.02.015.
Kim E, Lisby A, Ma C, Lo N, Ehmer U, Hayer KE, et al. Promotion of growth factor signaling as a critical function of β-catenin during HCC progression. Nat Commun. 2019;10(1):1909. https://doi.org/10.1038/s41467-019-09780-z.
Klaas M, Kangur T, Viil J, Mäemets-Allas K, Minajeva A, Vadi K, et al. The alterations in the extracellular matrix composition guide the repair of damaged liver tissue. Sci Rep-Uk. 2016;6(1):27398. https://doi.org/10.1038/srep27398.
Koivunen E, Wang B, Ruoslahti E. Isolation of a highly specific ligand for the as/3t integrin from a phage display library. J Cell Biol. 1994;124(3):373–80. https://doi.org/10.1083/jcb.124.3.373.
Kopova I, Bacakova L, Lavrentiev V, Vacik J. Growth and potential damage of human bone-derived cells on fresh and aged fullerene C60 films. Int J Mol Sci. 2013;14(5):9182–204. https://doi.org/10.1371/journal.pone.0123680.
Kurantowicz N, Strojny B, Sawosz E, Jaworski S, Kutwin M, Grodzik M, et al. Biodistribution of a high dose of diamond, graphite, and graphene oxide nanoparticles after multiple intraperitoneal injections in rats. Nanoscale Res Lett. 2015;10(1):398. https://doi.org/10.1186/s11671-015-1107-9.
Kurantowicz N, Sawosz E, Halik G, Strojny B, Hotowy A, Grodzik M, et al. Toxicity studies of six types of carbon nanoparticles in a chicken-embryo model. Int J Nanomed. 2017;12:2887–98. https://doi.org/10.2147/IJN.S131960.
Lasocka I, Jastrzębska E, Szulc-Dąbrowska L, Skibniewski M, Pasternak I, Hubalek Kalbacova M, et al. The effects of graphene and mesenchymal stem cells in cutaneous wound healing and their putative action mechanism. Int J Nanomed. 2019;14:2281–99. https://doi.org/10.2147/IJN.S190928.
Lee K, Suzuki H, Aiso S, Matsuoka M. Overexpression of TDP-43 causes partially p53-dependent G2/M arrest and p53-independent cell death in HeLa cells. Neurosci Lett. 2012;506(2):271–6. https://doi.org/10.1016/j.neulet.2011.11.021.
Li TL, Jiang G, Chen Q, Zheng JN. Ki67 is a promising molecular target in the diagnosis of cancer. Mol Med Rep. 2015;11(3):1566–72. https://doi.org/10.3892/mmr.2014.2914.
Li HH, Qi LN, Ma L, Chen ZS, Xiang BD, Li LQ. Effect of KI-67 positive cellular index on prognosis after hepatectomy in Barcelona Clinic Liver Cancer stage A and B hepatocellular carcinoma with microvascular invasion. Onco Targets Ther. 2018;11:4747–54. https://doi.org/10.2147/OTT.S165244.
Lim SO, Park SJ, Kim W, Park SG, Kim HJ, Kim YI, et al. Proteome analysis of hepatocellular carcinoma. Biochem Biophys Res Co. 2002;291(4):1031–7. https://doi.org/10.1006/bbrc.2002.6547.
Lin CH, Chung MY, Chen WB, Chien CH. Growth inhibitory effect of the human NIT2 gene and its allelic imbalance in cancers. Febs J. 2007;274(11):2946–56. https://doi.org/10.1111/j.1742-4658.2007.05828.x.
Liu LX, Jiang HC, Liu ZH, Zhou J, Zhang WH, Zhu AL, et al. Integrin gene expression profiles of human hepatocellular carcinoma. World J Gastroenterol. 2002;8(4):631–7. https://doi.org/10.3748/wjg.v8.i4.631.
Liu Y, Wang Z, Wang X. AFM-based study of fullerenol (C60(OH)24)-induced changes of elasticity in living SMCC-7721 cells. J Mech Behav Biomed. 2015;45:65–74. https://doi.org/10.1016/j.jmbbm.2014.12.011.
Liu Z, Li J, Shan Q, Dai H, Xie H, Zhou L, et al. MCM family in HCC: MCM6 indicates adverse tumor features and poor outcomes and promotes S/G2 cell cycle progression. BMC Cancer. 2018;18(1):200. https://doi.org/10.1186/s12885-018-4056-8.
Lu P, Weaver VM, Werb Z. The extracellular matrix: A dynamic niche in cancer progression. J Cell Biol. 2012;196(4):395–406. https://doi.org/10.1083/jcb.201102147.
Luo Y, Ren Z, Du B, Xing S, Huang S, Li Y, et al. Structure identification of viceninII extracted from Dendrobium officinale and the reversal of TGF-β1-induced epithelial–mesenchymal transition in lung adenocarcinoma cells through TGF-β/Smad and PI3K/Akt/mTOR signaling pathways. Molecules. 2019;24(1):144. https://doi.org/10.3390/molecules24010144.
Marchesan S, Melchionna M, Prato M. Carbon nanostructures for nanomedicine: opportunities and challenges. Fuller Nanotub Car N. 2014;22(1–3):190–5. https://doi.org/10.1080/1536383X.2013.798726.
Mayoral R, Fernández-Martínez A, Boscá L, Martín-Sanz P. Prostaglandin E 2 promotes migration and adhesion in hepatocellular carcinoma cells. Carcinogenesis. 2005;26(4):753–61. https://doi.org/10.1093/carcin/bgi022.
McCallion C, Burthem J, Rees-Unwin K, Golovanov A, Pluen A. Graphene in therapeutics delivery: problems, solutions and future opportunities. Eur J Pharm Biopharm. 2016;104:235–50. https://doi.org/10.1016/j.ejpb.2016.04.015.
Moreno-Layseca P, Streuli CH. Signalling pathways linking integrins with cell cycle progression. Matrix Biol. 2014;34:144–53. https://doi.org/10.1016/j.matbio.2013.10.011.
Mu X, Sultankulov B, Agarwal R, Mahjoub A, Schott T, Greco N, et al. Chick embryo extract demethylates tumor suppressor genes in osteosarcoma cells. Clin Orthop Relat R. 2014;472(3):865–73. https://doi.org/10.1007/s11999-013-3104-6.
Mui KL, Chen CS, Assoian RK. The mechanical regulation of integrin–cadherin crosstalk organizes cells, signaling and forces. J Cell Sci. 2016;129(6):1093–100. https://doi.org/10.1242/jcs.183699.
Naba A, Clauser KR, Whittaker CA, Carr SA, Tanabe KK, Hynes RO. Extracellular matrix signatures of human primary metastatic colon cancers and their metastases to liver. BMC Cancer. 2014;14(1):518. https://doi.org/10.1186/1471-2407-14-518.
Nguyen VH, Meghani NM, Amin HH, Tran TTD, Tran PHL, Park C, et al. Modulation of serum albumin protein corona for exploring cellular behaviors of fattigation-platform nanoparticles. Colloid Surf B. 2018;170:179–86. https://doi.org/10.1016/j.colsurfb.2018.05.060.
PRoteomics IDentifications Database, Hinxton, Cambridgeshire, UK. Identification of chicken embryo muscular and liver proteins. 2020. https://www.ebi.ac.uk/pride/archive/projects/PXD015146. Accessed 28 June 2020.
Ren K, Lu X, Yao N, Chen Y, Yang A, Chen H, et al. Focal adhesion kinase overexpression and its impact on human osteosarcoma. Oncotarget. 2015;6(31):31085–103. https://doi.org/10.18632/oncotarget.5044.
Saneyasu T, Akhtar R, Sakai T. Molecular cues guiding matrix stiffness in liver fibrosis. Biomed Res Int. 2016;2016:2646212. https://doi.org/10.1155/2016/2646212.
Sawosz E, Grodzik M, Hotowy A, Sosnowska M, Urbanowska B, Szczepaniak J, et al. Warsaw University of Life Sciences. The method of multilateral assessment of biocompatibility of materials. Poland patent 423414, Nov 2017.
Schrader J, Gordon-Walker TT, Aucott RL, van Deemter M, Quaas A, Walsh S, et al. Matrix stiffness modulates proliferation, chemotherapeutic response, and dormancy in hepatocellular carcinoma cells. Hepatology. 2011;53(4):1192–205. https://doi.org/10.1002/hep.24108.
Shang N, Wang H, Bank T, Perera A, Joyce C, Kuffel G, et al. Focal adhesion kinase and β-catenin cooperate to induce hepatocellular carcinoma. Hepatology. 2019;70(5):1631–45. https://doi.org/10.1002/hep.30707.
Sosnowska M, Kutwin M, Jaworski S, Strojny B, Wierzbicki M, Szczepaniak J, et al. Mechano-signalling, induced by fullerene C60 nanofilms, arrests the cell cycle in the G2/M phase and decreases proliferation of liver cancer cells. Int J Nanomed. 2019;14:6197. https://doi.org/10.2147/IJN.S206934.
Strojny B, Kurantowicz N, Sawosz E, Grodzik M, Jaworski S, Kutwin M, et al. Long term influence of carbon nanoparticles on health and liver status in rats. PLoS ONE. 2015;10(12):e0144821. https://doi.org/10.1371/journal.pone.0144821.
Stylianopoulos T, Poh MZ, Insin N, Bawendi MG, Fukumura D, Munn LL, et al. Diffusion of particles in the extracellular matrix: the effect of repulsive electrostatic interactions. Biophys J. 2010;99(5):1342–9. https://doi.org/10.1016/j.bpj.2010.06.016.
Szczepaniak J, Strojny B, Sawosz Chwalibog E, Jaworski S, Jagiello J, Winkowska M, et al. Effects of reduced graphene oxides on apoptosis and cell cycle of glioblastoma multiforme. Int J Mol Sci. 2018;19(12):3939. https://doi.org/10.3390/ijms19123939.
Szmidt M, Sawosz E, Urbańska K, Jaworski S, Kutwin M, Hotowy A, et al. Toxicity of different forms of graphene in a chicken embryo model. Environ Sci Pollut Res Int. 2016;23(19):19940–8. https://doi.org/10.1007/s11356-016-7178-z.
Thygesen LG, Lřkkey MM, Micklander E, Engelsen SB. Vibrational microspectroscopy of food. Raman vs. FTIR. Trends Food Sci Tech. 2003;14(1–2):50–7. https://doi.org/10.1016/S0924-2244(02)00243-1.
Tyanova S, Temu T, Carlson A, Sinitcyn P, Mann M, Cox J. Visualization of LC-MS/MS proteomics data in MaxQuant. Proteomics. 2015;15(8):1453–6. https://doi.org/10.1002/pmic.201400449.
UC San Diego, Health Sciences, California, USA. Cell cycle analysis by DNA content (propidium iodide). 2019. https://medschool.ucsd.edu/research/moores/shared-resources/flow-cytometry/protocols/Pages/cell-cycle-with-pi.aspx. Accessed 17 June 2019.
Vernon RM, Chong PA, Tsang B, Kim TH, Bah A, Farber P, et al. Pi-Pi contacts are an overlooked protein feature relevant to phase separation. Elife. 2018;7:e31486. https://doi.org/10.7554/eLife.31486.
Walker C, Mojares E, del Río HA. Role of extracellular matrix in development and cancer progression. Int J Mol Sci. 2018;19(10):3028. https://doi.org/10.3390/ijms19103028.
Wang K, Ruan J, Song H, Zhang J, Wo Y, Guo S, et al. Biocompatibility of graphene oxide. Nanoscale Res Lett. 2011a;6(8):1–8. https://doi.org/10.1007/s11671-010-9751-6.
Wang Y, Shenouda S, Baranwal S, Rathinam R, Jain P, Bao L, et al. Integrin subunits alpha5 and alpha6 regulate cell cycle by modulating the chk1 and Rb/E2F pathways to affect breast cancer metastasis. Mol Cancer. 2011b;10(1):1–11. https://doi.org/10.1186/1476-4598-10-84.
Wu S, Zheng Q, Xing X, Dong Y, Wang Y, You Y, et al. Matrix stiffness-upregulated LOXL2 promotes fibronectin production, MMP9 and CXCL12 expression and BMDCs recruitment to assist pre-metastatic niche formation. J Exp Clin Cancer Res. 2018;37(1):99. https://doi.org/10.1186/s13046-018-0761-z.
Xie H, Cao T, Franco-Obregón A, Rosa V. Graphene-induced osteogenic differentiation is mediated by the integrin/FAK axis. Int J Mol Sci. 2019;20(3):574. https://doi.org/10.3390/ijms20030574.
Yin L, Chang C, Xu C. G2/M checkpoint plays a vital role at the early stage of HCC by analysis of key pathways and genes. Oncotarget. 2017;8(44):76305–17. https://doi.org/10.18632/oncotarget.19351.
Yu J, Zhang C, Yu Q, Yu H, Zhang B. ADAR1 p110 enhances adhesion of tumor cells to extracellular matrix in hepatocellular carcinoma via up-regulating ITGA2 expression. Med Sci Monit. 2019;25:1469–79. https://doi.org/10.12659/MSM.911944.
Yue SQ, Yang YL, Dou KF, Li KZ. Expression of PCNA and CD44mRNA in colorectal cancer with venous invasion and its relationship to liver metastasis. World J Gastroenterol. 2003;9(12):2863–5. https://doi.org/10.3748/wjg.v9.i12.2863.
Zhang X, Yang M, Shi H, Hu J, Wang Y, Sun Z, et al. Reduced E-cadherin facilitates renal cell carcinoma progression by WNT/β-catenin signaling activation. Oncotarget. 2017;8(12):19566–76. https://doi.org/10.18632/oncotarget.15361.
Zhu J, Xu M, Gao M, Zhang Z, Xu Y, Xia T, et al. Graphene oxide induced perturbation to plasma membrane and cytoskeletal meshwork sensitize cancer cells to chemotherapeutic agents. ACS Nano. 2017;11(3):2637–51. https://doi.org/10.1021/acsnano.6b07311.
Zielińska-Górska M, Hotowy A, Wierzbicki M, Bałaban J, Sosnowska M, Jaworski S, et al. Graphene oxide nanofilm and the addition of L-glutamine can promote development of embryonic muscle cells. J Nanobiotechnol. 2020;18(1):1–17. https://doi.org/10.1186/s12951-020-00636-z.
This report is a part of Malwina Sosnowska’s PhD thesis.
This research was carried out in the framework of project National Science Centre Poland nr. 2019/33/N/NZ7/01392.
Ethics approval and consent to participate
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Fourier transform infrared spectrum of chicken embryo liver extract (top) and graphene oxide nanofilm with addition of chicken embryo lever extract (bottom). Figure S2. Cell migration of HS-5 cells on modified surface after removing the insert (0 h) and after 24, 48, 72 h of incubation (scratch wound healing assay). Figure S3. Cell migration of HepG2 cells on modified surface after removing the insert (0 h) and after 24, 48, 72 h of incubation (scratch wound healing assay). Figure S4. Cell migration of C3A cells on modified surface after removing the insert (0 h) and after 24, 48, 72 h of incubation (scratch wound healing assay). Table S1. Wound closure rate of HS-5, HepG2 and C3A cells on modified surface. Results are expressed as percentage intercellular spaces based on ImageJ analysis. Table S2. Changes in HS-5, HepG2 and C3A cell viability using the MTT assay. Table S3. Changes in HS-5, HepG2 and C3A cell proliferation using the BrdU assay. Table S4. Changes in the expression of proliferation (pcna, ki67, mcm2) and adhesion markers (integrins, cadherins, focal adhesion kinase and catenine) in HS-5 cells by real-time PCR (one way ANOVA). The results are presented as FC values, and untreated cells are depicted as 1. Values above/below 1 indicate upregulation/downregulation of gene expression. Abbreviations: FC, fold change. Table S5. Changes in the expression of proliferation (pcna, ki67, mcm2) and adhesion markers (integrins, cadherins, focal adhesion kinase and catenine) in HepG2 cells by real-time PCR (one way ANOVA). The results are presented as FC values, and untreated cells are depicted as 1. Values above/below 1 indicate upregulation/downregulation of gene expression. Abbreviations: FC, fold change. Table S6. Changes in the expression of proliferation (pcna, ki67, mcm2) and adhesion markers (integrins, cadherins, focal adhesion kinase and catenine) in C3A cells by real-time PCR (one way ANOVA). The results are presented as FC values, and untreated cells are depicted as 1. Values above/below 1 indicate upregulation/downregulation of gene expression. Abbreviations: FC, fold change. Table S7. Cell cycle changes of HS-5, HepG2 and C3A cells using the flow cytometry. Table S8. Changes in the expression of proliferation (pcna, ki67, mcm2) and adhesion markers (integrins, cadherins, focal adhesion kinase and catenine) in HepG2 and C3A cells using two-way analysis of variance. The results are presented as FC values, and untreated cells are depicted as 1. Values above/below 1 indicate upregulation/downregulation of gene expression. Abbreviations: FC, fold change
About this article
Cite this article
Sosnowska, M., Kutwin, M., Strojny, B. et al. Graphene oxide nanofilm and chicken embryo extract decrease the invasiveness of HepG2 liver cancer cells. Cancer Nano 12, 2 (2021). https://doi.org/10.1186/s12645-020-00073-5
- Cell cycle
- Embryo liver extract
- Extracellular matrix
- Graphene oxide nanofilm
- Liver cancer