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Nanomicelles potentiate histone deacetylase inhibitor efficacy in vitro



Amphiphilic block copolymers used as nanomicelle drug carriers can effectively overcome poor drug solubility and specificity issues. Hence, these platforms have a broad applicability in cancer treatment. In this study, Pluronic F127 was used to fabricate nanomicelles containing the histone deacetylase inhibitor SAHA, which has an epigenetic-driven anti-cancer effect in several tumor types. SAHA-loaded nanomicelles were prepared using a thin-film drying method and characterized for size, surface charge, drug content, and drug release properties. Loaded particles were tested for in vitro activity and their effect on cell cycle and markers of cancer progression.


Following detailed particle characterization, cell proliferation experiments demonstrated that SAHA-loaded nanomicelles more effectively inhibited the growth of HeLa and MCF-7 cell lines compared with free drug formulations. The 30 nm SAHA containing nanoparticles were able to release up to 100% of the encapsulated drug over a 72 h time window. Moreover, gene and protein expression analyses suggested that their cytoreductive effect was achieved through the regulation of p21 and p53 expression. SAHA was also shown to up-regulate E-cadherin expression, potentially influencing tumor migration.


This study highlights the opportunity to exploit pluronic-based nanomicelles for the delivery of compounds that regulate epigenetic processes, thus inhibiting cancer development and progression.


Chemical compounds directly targeting epigenetic processes have emerged as potential treatments for metastatic disease (Fardi et al. 2018). Epigenetics involves alterations to the DNA and chromatin landscape and consequently gene expression patterns and biological processes (Dupont et al. 2009). The molecular alterations to the nucleosome-forming histone proteins are one of the major epigenetic modifications that have been found to be altered in cancer (Audia and Campbell 2016). Compounds targeting these modifications, reverting them to a non-cancer state, have great therapeutic potential. Suberoylanilide Hydroxamic Acid (SAHA, commercially known as Vorinostat) is approved by the FDA for the treatment of malignant cutaneous T-cell lymphoma (CTCL) (Kawamata et al. 2007). Subsequently, it was found to offer therapeutic potential for other cancer types including cervical and breast (Prestegui-Martel et al. 2016; Shi et al. 2017) where female breast cancer represents around 30% of all new cancer cases in the US yearly, while uterine and cervical cancer make up to 7% of the total (Siegel et al. 2020). The use of MCF-7 and HeLa for breast and cervical cancer studies involving epigenetic drugs is well established due to the high genetic variability of these cells lines that could be tackled by such an approach (Landry et al. 2013; Zhou et al. 2019).

SAHA is a histone deacetylase (HDAC) inhibitor that can mediate the down-regulation of DNA transcription in numerous biological processes (Haberland et al. 2009) including cell growth arrest, activation of the extrinsic and intrinsic apoptotic pathways, autophagic, reactive oxygen species (ROS)-induced cell death, and mitotic cell death (Xu et al. 2007; Ververis et al. 2013; Zhang and Zhong 2014). Limitations in SAHA utility include low bioavailability, short half-life, and toxic side-effects, which are partly linked to the development of multidrug resistance (Bravo-Cordero et al. 2012; Friedl et al. 2012; Chung et al. 2013). Together, these factors have limited the clinical use of SAHA as an effective anti-cancer treatment (Konsoula and Jung 2008; Qi et al. 2017). Encapsulating SAHA within nanoparticles represents a potential strategy for overcoming such limitations to enhance its utility in clinic.

Nanoparticles including liposomes (Lee 2020), bio-nanocapsules (Tsutsui et al. 2007), and polymeric nanoparticles (El-Say and El-Sawy 2017) are being developed to overcome poor solubility and drug efficacy (Zhu and Liao 2015). Due to the unique physiological and pathological features of the tumor site, correctly sized nanomicelles can be passively targeted due to the enhanced permeability and retention (EPR) effect, which can improve the drug efficacy and reduce toxic side-effects (Fang et al. 2011; Zhu et al. 2016; Russo et al. 2016). Nanomicelles possess unique advantages including structural stability and simplicity of fabrication in a 10–100 nm size range (Tran et al. 2014; Kwak et al. 2015). They can also effectively prolong the retention time of drugs in vivo and prevent drug inactivation by enzyme degradation before reaching the tumor site (Biswas et al. 2013).

Pluronic is a water-soluble amphiphilic molecule with a poly(oxyethylene)-block-poly (oxypropylene)-block-poly(oxyethylene) (PEOx–PPOy–PEOz) triblock structure (Farrugia et al. 2014), which self-assembles forming core–shell micelles in aqueous media. For instance, chlorpromazine (CPZ)-containing Pluronic nanomicelles have been shown to enhance the cytotoxicity of the drug and increase its selectivity towards chronic myeloid leukemia cells, demonstrating the pharmacological potential for cancer treatment (Mello et al. 2016). Moreover, Solasodine, a type of steroidal alkaloid that exhibits excellent bioactivities against fungi, viruses, and especially tumors, has been encapsulated into Pluronic F127 nanocarriers, and was able to enhance the anti-cancer effect of Solasodine alone in A549 and Hela cells (Zhang et al. 2015). A similar approach has also been used for doxorubicin hydrochloride-loaded pluronic F127 nanocapsules which demonstrated delayed drug release (Zeng et al. 2014).

Here, we showed that the HDAC inhibitor SAHA can be efficiently loaded into pluronic F127 nanomicelles. We demonstrate that SAHA-loaded nanomicelles are able to efficiently release the drug in a time-dependent fashion. SAHA nanomicelles were shown to be more efficient than the free drug in reducing cell viability and inhibiting cell migration capacities of breast and cervical cancer cell lines, which represent two cancer types that still require more effective, epigenetic-based, treatments. Cellular uptake studies demonstrated the effective micellular uptake and intracellular distribution in a cell line-dependent fashion. In addition, the encapsulated SAHA remained effective in triggering cell cycle arrest and apoptosis in a dosage-dependent manner. The HDAC inhibitor also altered the expression of the EMT markers E-cadherin and N-cadherin, suggesting that effective delivery has the potential to reverse the aggressive, metastatic phenotype of these cancer models.


Chemicals and reagents

Pluronic F127 was purchased from Sigma, China. SAHA was purchased from Nanjing Duolun Chemical Co., Ltd., China. Propidium Iodide (PI) was purchased from Santa Cruz Biotechnology. Acetonitrile, Dimethyl Sulfoxide (DMSO), Ammonium Persulfate, Sodium Chloride, Dodecyl Sodium Sulfate, Tween 20, Methanol, Ethanol, Isopropanol, and Chloroform were purchased from Sinopharm Chemical Reagent Co., Ltd., China. Phosphate-Buffered Saline, Dulbecco's Modified Eagle Medium (DMEM), 1640 Medium, Trypsin were purchased from Solarbio. Fetal Bovine Serum was purchased from Corning. MTT, Glycine, Tris(hydroxymethyl)aminomethane, and Acrylamide were purchased from Aladdin, China.

Preparation of SAHA–pluronic F127 nanoparticles

200 mg of Pluronic F127 and 3 mg of SAHA were dissolved into 10 ml of acetonitrile. Subsequently, the solvent was removed by rotary evaporation at 55℃ with decompression. The solid copolymer matrix obtained was then preheated at 65℃ for 1 h and eventually hydrated with phosphate buffer solution (PBS, 10 mM or 150 mM NaCl) or H2O. The nanomicellar solution was filtered with a 0.22 μm filter to remove any free drug. PI encapsulation was similarly achieved. 10 mg PI and 200 mg were dissolved in 10 ml of acetonitrile, and followed the same process explained above. The dispersion, size, and zeta potential of nanomicelles were measured by dynamic light scattering (Particle size analyzer, Malvern, UK).

Atomic force microscope (AFM) characterization

10 μL of nanomicelle aliquots were spotted on mica substrates at a concentration of 100 μg/mL (Agar Scientific, UK) and dried at room temperature. Sample topography was obtained in air using a Bruker BioScope Catalyst (Bruker Instruments, Santa Barbara, California, USA) AFM. Bruker ScanAsyst-Air cantilevers were used, with a nominal spring constant of 0.4 N/m and a nominal resonant frequency of 70 kHz. All imaging was conducted using Peak Force Tapping (PFT) in ScanAsyst Mode. Images were processed with first-order flattening and planefit using Bruker Nanoscope Analysis 1.5. Gwyddion in-built grain analysis was used to identify nanomicelles and to calculate their size.

Nanomicelle stability

Nanoparticles were resuspended in either H2O, PBS (10 mM NaCl), or PBS (150 mM NaCl), and stored at 4℃. To assess the stability of each formulation over time, size and poly-dispersion (PDI) measurements were taken at 0, 5, 10, 15, 20, 25, and 30 days.

Drug release assessment

A high-performance liquid chromatography (HPLC) system (Waters 2535, Milford, MA, US) equipped with a photodiode array detector was used for the analysis of the drug release potential of the pluronic formulations. A C18 HPLC column (GraceSmart RP C18, 4.6 mm × 250 mm, 5 μm) was used for quantitative analysis of SAHA. Mobile phase A contained HPLC grade H2O, and mobile phase B contained HPLC grade acetonitrile. SAHA was eluted with 50% mobile phase A and mobile phase B at a flow rate of 1 ml/min, with a retention time of 3.6 min and UV detection at 265 nm. Standard curves of concentration peaks and areas were drawn. Five-point calibration curves for SAHA in the range of 31.25–500 μM were considered reliable (r2 ≥ 0.999).

Determination of drug loading and entrapment efficiency.

200 μl of nanomicelle solution were added with 800 μl acetonitrile and centrifuged for 5 min at 10,225×g. The supernatant was used to determine the concentration of drug by HPLC.

The entrapment efficiency (EE) and drug loading efficiency (DL) were calculated as follows:

$$\mathrm{DL\%}=\frac{\mathrm{Weight\; of\; drug\; in\; nanomicelles}}{\mathrm{Weight\; of\; drug\; loaded\; nanomicelles}}*100\mathrm{\%}$$
$$\mathrm{EE\%}=\frac{\mathrm{Weight\; of\; drug\; in\; nanomicelles}}{\mathrm{Weight\; of\; drug\; added\; into\; nanomicelles}}*100\mathrm{\%}.$$

In vitro drug release

To measure the release of SAHA from nanomicelles, a 20 ml solution containing SAHA-loaded nanomicelles was loaded into a dialysis bag (MWCO: 8000 ~ 14,000 Da, Spectrum®, Rancho Dominquez, CA, USA), which was immersed in 500 ml of 10 mM PBS (pH 7.4). Temperature was maintained at 37 °C. At predetermined time intervals, 1 mL of release medium (PBS) was withdrawn and replaced with the same volume of fresh PBS into the system. The concentration of SAHA inside the solution was determined by HPLC.

Cell lines

HeLa (human epithelial cervical cancer) and MCF-7 (human breast adenocarcinoma) cell lines were kindly donated by Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences. HeLa cells were grown in DMEM and MCF-7 cells in RMPI. All media was supplemented with penicillin (100 U/ml) and streptomycin (100 μg/ml) and 10% FBS at 37℃ in a humidified 5% CO2 and 95% air atmosphere.

Cell proliferation assay

The anti-proliferative effects of SAHA, SAHA-loaded nanomicelles, and empty nanomicelles were assessed using the 3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2-H-tetrazolium bromide (MTT) assay (Aladdin, China). 1 × 104cells/well were seeded in 96-well plates, grown overnight, and then treated with various concentrations of SAHA, SAHA-loaded nanomicelles, and empty nanomicelles for 24 h, 48 h, or 72 h. 20 μL of MTT reagent were added to each well and left incubating for 4 h. The optical density was determined at 490 nm using a Multifunctional Microplate Reader (Thermo Fisher, China).

Protein blot

2.5 × 105 cells were dispersed in three 6-well plates, grown overnight, and three plates treated with SAHA, SAHA nanomicelles and empty nanomicelles for 24 h or 48 h. The cells were lysed in RIPA lysis buffer containing protease and phosphatase inhibitors (Beyotime, China) and total protein was estimated with BCA Protein Assay Kit (Beyotime, China). Protein was separated by SDS-PAGE and transferred on PVDF membranes (Beyotime, China). The membranes were blocked in 5% skimmed milk, incubated with primary antibodies for p21, p53, N-Cadherin or E-cadherin (Santac Cruz, US), and then incubated with the appropriate HRP conjugated secondary antibody (Absin, China).

Quantitative RT-PCR (qRT-PCR)

Hela and MCF-7 cells were treated with the SAHA and SAHA-loaded nanomicelles for 24 h or 48 h. Total RNA was isolated using the RNAiso Plus kit (Takara, Japan). 10 μg of total RNA was converted into complementary DNA (cDNA) with PrimeScript RT reagent kit with gDNA Eraser (Takara, Japan). SYBR Premix Ex TaqTMII (Takara, Japan) solution was used according to the manufacturer’s protocol to measure for mRNA expression of p53, p21, E-cadherin and N-cadherin with by qPCR. GAPDH was used as a control to determine relative mRNA expression. The table below shows the primer sequences used.

Gene   Primer sequence
GAPDH Forward primer
Reverse primer
p21 Forward primer
Reverse primer
p53 Forward primer
Reverse primer
E-cadherin Forward primer
Reverse primer
N-cadherin Forward primer
Reverse primer

Cellular uptake of nanomicelles

1.5 × 104 HeLa and MCF-7 cells/well were seeded in 8-well chambered coverslips (Ibidi). After 24 h from seeding, cells were treated with 1 µM of PI-loaded pluronic F127 nanoparticles and incubated at 37 °C in a humidified atmosphere. PBS was added as the untreated control. After 4 h, 24 h, and 48 h, cells were washed with 1X PBS and nuclei were counterstained with Hoechst 33342 (Life Technologies). 0.1% Triton-X-100 was used as a positive control and added to cells for 10 min to permeabilize them, followed by 1 µM PI treatment for 10 min. Cells were imaged live on a Zeiss LSM710 fluorescent confocal microscope (Carl Zeiss Microscopy, Jena) at a 40X magnification using the 543 nm and 405 nm laser lines.

Cell migration assay

MCF7 and HeLa cells were seeded at a 5 × 105 cells/well concentration in 6-well plates. When cells reached 90% confluence scratches were performed with a 200 µl sterile pipette tip and detached cells were washed in 1× PBS. Subsequently, empty nanomicelles, SAHA nanomicelles, and free SAHA were added to each well, and the final volume was brought to 2 ml with FBS-free media. Images were acquired at 0 h, 24 h, and 48 h using a Zeiss inverted microscope at a 4× magnification.

Reference marks on the bottom of each well along the scratches were made to align the same fields in each image acquisition, at each time point. Image analysis of the scratches was performed using the Wound Healing Size Tool, an ImageJ/Fiji® plugin that allows for the quantification of the wounded area (Suarez-Arnedo et al. 2020). The scratch area was calculated for each field and time point, and the percentage of wound closure was calculated according to the following formula:

$$\mathrm{Wound\; closure} \%= \left(\frac{{A}_{t=0}-{A}_{t=\Delta t}}{{A}_{t=0}}\right)*100,$$

where At=0 is the area of a specific field at time 0 h and Att is the area of the same field after n hours of the initial scratch. The data were graphed and analyzed using GraphPad Prism. For the statistical analysis, it was used one-way ANOVA with Dunnett’s multiple comparison test.

Statistical analysis

Data were expressed as mean ± standard deviation and analyzed using SPSS software. According to the distribution type of the data, the samples were processed by T test and one-way ANOVA analysis with Dunnett’s multiple comparison test. A p value p < 0.05 was considered statistically significant.


Characterization and assessment of stability of SAHA-loaded nanomicelles over time

Nanomicelles were fabricated using a thin-film method and characterized by dynamic light scattering. Empty and SAHA-loaded nanomicelles both had an average size of 23 nm and a poly-dispersive index (PDI) of 0.09 ± 0.02 and 0.08 ± 0.0, respectively, confirming the uniformity of distribution of the formulation (Table 1). The surface charge of the particles was measured with a Zetasizer Nano instrument (Malvern, UK), providing a zeta-potential value of − 1.28 ± 0.28 mV. The entrapment efficiency (EE%) and drug loading efficiency (DL%) values were 94.36 ± 0.76% and 1.31 ± 0.062%, respectively.

Table 1 Characterization of SAHA-encapsulated pluronic nanomicelles

Particles were imaged using Atomic Force Microscope (AFM) and identified using the grain analysis algorithm in Gwyddion (Kohn et al. 2018). Nanomicelles showed a rounded shape and both empty (Fig. 1a) and SAHA-loaded (Fig. 1b) nanomicelles presented a diameter of 32 nm. Both AFM and DLS experiments confirmed that no change was detectable in micelles dimensions upon incorporation of the drug.

Fig. 1

AFM characterization. Empty nanomicelles and SAHA-loaded nanomicelles are shown at the top of a and b, respectively. Z range: 0–1.8 nm. Gwyddion grain analysis was used to identify nanomicelles (bottom images, masking is highlighted in purple) and to calculate their diameter. Not all nanomicelles were considered for grain analysis due to low masking performance

To determine nanomicelle stability, particle size was evaluated in three different solutions (H2O, 10 mM PBS and 150 mM PBS) at different time points for up to 30 days (Fig. 2). In all three solutions, the initial particle size of SAHA nanomicelles was 30 nm. In H2O, the micelles aggregated over time, increasing six-fold in size compared to day 0 (Fig. 2a). Less aggregation was observed in 10 mM PBS (Fig. 2b), and no aggregation was observed for nanomicelles in PBS-containing physiological NaCl concentrations (150 mM, Fig. 2c). PBS (150 mM NaCl) was, therefore, selected for all further experiments.

Fig. 2

Analysis of nanoparticles stability over time. The aggregation of nanomicelles in three different solvents was investigated at 0, 5, 10, 15, 20, 25, and 30 days. Nanoparticles were kept at 4℃. 1a H2O; 1b 10 mM PBS; 1c 150 mM PBS

Sustained release profiling

SAHA-loaded nanomicelles were analyzed for their capacity to sustain SAHA release over time (Fig. 3). SAHA was retained for a longer period of time when loaded in nanomicelles with only 36.53% ± 3.43 of drug released after 2 h and 85.68% ± 2.48 after 72 h, compared to free SAHA where levels reached 51.55% ± 1.56 after 2 h, 96.27% ± 3.47 after 72 h.

Fig. 3

In vitro drug release of SAHA from nanomicelles. Nanomicelles encapsulated with SAHA and resuspended in PBS were tested for their capacity to release the drug over time. HPLC was used to measure the amount of SAHA released after up to 72 h. The ± SD value of the data was tested by T test (n = 3)

Nanomicelles cellular uptake

To understand the mechanisms of nanomicelle uptake, HeLa and MCF-7 cells were exposed to F127 nanomicelles loaded with the fluorescent dye propidium iodide (PI). Cellular uptake was assessed at 4 h, 24 h and 48 h time points. Nanomicelle uptake by HeLa cells was measured by confocal microscopy at two different concentrations, 0.1 μM and 1 μM (Fig. 4). Treatment with 0.1 μM nanomicelles yielded a noticeable PI uptake after 48 h, while the PI signal could already be visualized after 4 h following exposure to 1 μM PI nanomicelles, where a clear co-localization signal was observed in the cell nuclei (blue, Fig. 4).

Fig. 4

PI nanomicelle uptake by HeLa cells. Confocal images were taken at 4 h, 24 h, and 48 h after the treatment. A negative control with unstained cells and a positive control involving the addition of Triton-X followed by PI were used. Cell nuclei are stained in blue, while PI fluorescent signal is highlighted in red

Treatment of MCF-7 cells with PI nanomicelles resulted in a different temporal cellular uptake pattern compared to HeLa cells (Fig. 5). Treatment with 0.1 μM PI nanomicelles resulted in particle localization at the peri-nuclear zone after 24 h, and localization within the nuclei after 48 h, showing the intracellular transport of these particles to the nucleus can be accomplished using the delivery system. At higher treatment concentrations (1 μM), particles reached the cell nuclei after only 4 h from the addition and yielded the highest signal after 48 h.

Fig. 5

Fig. 4 PI nanomicelles uptake by MCF-7 cells. Confocal images of MCF-7 cells were taken at 4 h, 24 h and 48 h after treatment. A negative control with unstained cells and a positive control involving the addition of Triton-X followed by PI were used. Cell nuclei are stained in blue, while PI fluorescent signal is highlighted in red

SAHA-loaded nanomicelles inhibit Hela cell and MCF-7 cell proliferation

The ability of SAHA-loaded nanomicelles to inhibit cell proliferation in both Hela and MCF-7 cancer cell lines was assessed. HeLa and MCF7 cell lines were treated with 1 μM and 5 μM of free drug or SAHA-encapsulated nanoparticles for up to 72 h. The 1 μM concentration of free and encapsulated drug displayed similar toxicities with both Hela and MCF7 cells after 24 h and 48 h (Fig. 6a, c), while the nanomicelles became significantly more effective than the free drug after 72 h on HeLa cells (p < 0.05). Conversely, the 5 μM concentration of SAHA-encapsulated nanomicelles proved to be more effective than the free drug after 48 h for both HeLa (p < 0.05, Fig. 6b) and MCF7 (p < 0.01, Fig. 6d). The same trends were maintained after 72 h of exposure to the treatment for both HeLa and MCF7 cells. These observations suggested that nanomicelle encapsulation of SAHA serves to enhance its cytotoxicity.

Fig. 6

Anti-proliferative effect of SAHA on Hela and MCF-7 cells. a, b Effect of different drug concentrations on Hela cells at 24 h, 48 h, and 72 h. c, d effect of different drug concentrations on MCF-7 cells at 24 h, 48 h, and 72 h. Survival rate was measured by MTT assay. The percentage of viable cells was determined as the ratio of treated cells to untreated controls. A one-way ANOVA was used to test for statistical significance (*p < 0.05, **p < 0.01, ***p < 0.001)

Effect of SAHA-loaded nanomicelles on cell cycle and EMT

To evaluate the effect of SAHA encapsulation on the expression of p21 and p53 (cell cycle markers) and E/N-cadherins (EMT markers), HeLa cells were treated with free and encapsulated drug for 24 h and 48 h. Increasing concentrations of both free drug and SAHA-encapsulated nanomicelles led to a significant up-regulation of p21 (p < 0.05) and a down-regulation of p53 (p < 0.05) at both 24 h (Fig. 7a, b) and 48 h (Fig. 7d–e). Moreover, SAHA-loaded nanomicelles were more effective than free SAHA (p < 0.05) in triggering alterations at the protein level (Figs. 7a, 4b), and this effect was corroborated by mRNA expression analysis of the same markers (Figs. 7c, 4f), with SAHA-loaded nanomicelles having a significantly greater effect on the expression of p21 and p53 mRNA (p < 0.01) than free drug. The effect of SAHA and SAHA-loaded nanomicelles on p21 and p53 protein expression appears concentration-dependent, with drug encapsulation potentiating the effect of SAHA in nanomicelles.

Fig. 7

Protein and mRNA expression of p21, p53, and E/N-cadherins in Hela cells after 24 h (top) or 48 h (bottom). Cells were analyzed by western blot and qPCR. a, d Effect of SAHA and SAHA-loaded nanomicelles on the protein expression of the four markers in Hela cells at 24 and 48 h. b, e mRNA analysis of p21 and p53 markers on Hela cells at 24 and 48 h. c, f Effect of SAHA and SAHA-loaded nanomicelles on E and N-cadherin mRNA expression in Hela cells at both time points. Data were normalized to the level of GAPDH. Data were tested by T test for statistical significance (n = 3, *p < 0.05, **p < 0.01, ***p < 0.001)

The effect of SAHA encapsulation in metastatic processes was undertaken by determining the expression patterns of E-cadherin and N-cadherin. After 24 h, SAHA and SAHA-loaded nanomicelle treatement resulted in a significant up-regulation of E-cadherin protein in Hela cells (p < 0.05) (Fig. 7c). Similarly, the 48 h treatment with either SAHA and SAHA nanomicelles resulted in significantly increased E-cadherin expression (p < 0.05) (Fig. 7f). SAHA-encapsulated nanoparticles were more effective than free drug in increasing E-cadherin levels. However, neither SAHA nor SAHA-loaded nanomicelles had an effect on N-cadherin expression.

The same analysis was performed on MCF-7 cells, which displayed a similar response to Hela cells after 24 h treatment, with both SAHA and SAHA-loaded micelles significantly up-regulating p21 and down-regulating p53 protein (Fig. 8a) and mRNA expression levels (Fig. 8b). The same trend was seen after 48 h (Fig. 8d–e). Furthermore, SAHA-loaded nanomicelles exhibited a greater effect on protein expression on both targets compared to free SAHA (p < 0.05). Furthermore, gene expression analysis showed a significant increase in E-cadherin and decrease in N-cadherin after 24 h (Fig. 8c), which was maintained after 48 h for E-cadherin only (Fig. 8f). In general, SAHA-encapsulated nanoparticles were more effective in increasing the levels of E-cadherins than the free drug.

Fig. 8

Protein and mRNA expression of p21 and p53 in MCF-7 cells after 24 h (top) or 48 h (bottom). The effect of SAHA and SAHA-loaded nanomicelles on p53 and p21 protein expression in MCF-7 cells was analyzed. Expression of all four markers was analyzed by western blot at 24 h (a) and 48 h (d). Data were normalized to the level of GAPDH. The effect of SAHA and SAHA-loaded nanomicelles on p21 and p53 mRNA expression was also done at 24 h (b) and 48 h (e), and normalized to the level of GAPDH, while the E- and N-cadherin mRNA analysis at 24 h and 48 h is shown in (c) and (f), respectively. The expression level is shown relative to the control as 1. A t test to test for statistical significance was performed (*p < 0.05, **p < 0.01, ***p < 0.001)

Analysis of cell migration capacity following SAHA nanomicelle exposure

0.1 μM SAHA nanomicelles were assessed for their ability to inhibit HeLa and MCF-7 cell growth and migration using a wound-healing assay. Following treatment for 24 h and 48 h, a time-dependent effect of the treatment on HeLa cell division and inhibition of migration was observed (Fig. 9a). After 24 h, both SAHA nanomicelles and SAHA were found to inhibit wound closure compared to empty nanomicelles (p < 0.01 and p < 0.05 respectively, Fig. 9b). After an extended 48 h treatment period, the negative effect of SAHA nanomicelles on wound closure was more marked than the free drug, which surprisingly was even less effective than the empty nanomicelle treatment (p < 0.001, Fig. 9c).

Fig. 9

Effect of SAHA-loaded nanomicelles on the wound closure capacity of HeLa cells. Representative microscope images (Fig. 10a) and analysis (Fig. 10b) of the wound closure. Wound closure capacity values are shown relative to the empty nanomicelles control. A one-way ANOVA with Dunnett’s multiple comparison test for statistical significance was performed (*p < 0.05, **p < 0.01, ***p < 0.001)

Similarly, when MCF-7 cells were exposed to 0.1 μM SAHA nanomicelles, a clear decrease in wound-healing capacity was observed after 24 h (Fig. 10a, b). Moreover, this effect was more enhanced after 48 h, where SAHA-nanomicelles yielded the most marked reduction in wound closure (p < 0.001) compared to SAHA only (p < 0.05, Fig. 10c).

Fig. 10

Effect of SAHA-loaded nanomicelles on the wound closure capacity of MCF7 cells. Representative microscope images (a) and analysis (b) of wound closure. Wound closure capacity values are shown relative to the empty nanomicelles control. A one-way ANOVA with Dunnett’s multiple comparison test for statistical significance was performed (*p < 0.05, **p < 0.01, ***p < 0.001)


Here, we have demonstrated that the histone deacetylase inhibitor SAHA can be effectively encapsulated in pluronic nanoparticles. We confirmed, by means of dynamic light scattering and AFM analysis, that the size and phenotype of nanomicelles did not change upon SAHA encapsulation.

As SAHA has been shown to cause harmful side-effects, analysis of the amount of encapsulated drug within the nanomicelles was undertaken, as encapsulation could be an effective route to reducing systemic toxicity. Reported side-effects include fatigue, GI related diarrhea, nausea, thrombocytopenia, and anorexia as observed in different types of cancers, including endometrial cancers and lymphomas (Takai et al. 2004; Duvic 2008).

Drug release experiments showed that SAHA was progressively released from pluronic nanomicelles for up to 72 h. These results were complemented by the analysis of the uptake of nanomicelles by breast and cervical cancer cell lines MCF-7 and HeLa, which showed a time-dependent nanomicelle uptake that was more enhanced in the MCF-7 cell line after 48 h. This effect could be due to different intracellular uptake patterns of nano-encapsulated formulations by different cell types. Indeed, the majority of free drugs enter cells through a simple diffusion process, while most nanocarrier drugs enter cells through endocytosis (Kumari et al. 2016; Behzadi et al. 2017; Foroozandeh and Aziz 2018). These findings are in line with the previous reports that showed the efficient employment of pluronic F127 for the encapsulation and cellular uptake of compounds, such as curcumin (Wang et al. 2015; Vaidya et al. 2019), paclitaxel (Nie et al. 2011), and doxorubicin (Manaspon et al. 2012).

Experiments showed that nanomicelle-encapsulated SAHA was more effective than the free drug in causing cell death. This effect was most evident after 72 h, suggesting a sustained release of SAHA over time. Encapsulation could, therefore, result in the use of less drug while still obtaining the required therapeutic effect, or in the more effective and tumor site specific delivery due to the inherent properties of nanostructures. A wound-healing assay further demonstrated the effectiveness of SAHA nanomicelles over longer time periods for HeLa and MCF-7 cells, with a slightly different effect observed with each cell line. Indeed, the fact that breast cancer cells were more susceptible to the effect of SAHA nanomicelles than cervical cancer cells might provide insights for future therapeutic approaches.

SAHA treatment caused significant changes in proteins involved in both cell cycle and cell phenotype. We demonstrated that SAHA-loaded nanomicelles were able to up-regulate p21 and down-regulate p53 expression, consistent with the previous studies on the action of free SAHA on tumor growth inhibition by regulating the expression of these genes (Davies et al. 2015; Ogata et al. 2017).

Detailed analysis of the effects of SAHA-loaded nanoparticles on EMT transition markers revealed a significant up-regulated E-cadherin expression, but with no affect N-cadherin expression. This is consistent with previous studies, where HDAC inhibitors were shown to have only a slight effect on N-cadherin expression in HT-144 and A375 cells (Díaz-Núñez et al. 2016). Down-regulation or loss of E-cadherin expression affects cadherin-catenin complex formation and stability, which directly affects the metastatic process (Zhang et al. 2000; Guo et al. 2018). It has been suggested that SAHA may inhibit the formation of Snail and HDAC1/HDAC2 complexes by inhibiting the activity of HDAC1 and HDAC2, leading to the demethylation and transcriptional activation of the E-cadherin. In addition, SAHA may also up-regulate E-cadherin expression by altering its upstream targets (LEF-1 and Slug) (Nalls et al. 2011), but the specific mechanisms need to be further elucidated.


Encapsulation of SAHA into nanomicelles enhances the potency of this epigenetic drug in breast and cervical cancer cell models. Furthermore, this effective formulation will likely enhance drug delivery to tumor sites, and overcome current issues in delivering HDAC inhibitors to solid tumors, while also reducing side-effects associated with systemic delivery of the free drug. The EPR effect would enable these nanoparticles to escape via neo-vascularization at tumor sites, and subsequently, their physico-chemical characteristics would allow better penetration into solid tumors (Blanco et al. 2015; Zhang et al. 2019). Such parameters are likely to be specific to different cancer types, and indeed, we observed that the SAHA-loaded nanomicelles displayed different uptake rates, and directed intracellular trafficking in the two different cancer cell models tested here (Figs. 4, 5).

Availability of data and materials

The analyzed data sets generated during the present study are available from the corresponding author on reasonable request.



Epithelial-to-mesenchymal transition


Suberoylanilide hydroxamic acid


Cutaneous T-cell lymphoma


Histone deacetylase


Reactive oxygen species


Trichostatin A


Multidrug resistance


Enhanced permeability and retention (effect)


Poly(oxyethylene)-block-poly (oxypropylene)-block-poly(oxyethylene)




Dimethyl sulfoxide


Dulbecco's Modified Eagle Medium


Phosphate buffer solution


Poly-dispersion index


High-performance liquid chromatography


Entrapment efficiency


Drug loading (efficiency)


Cyclin-dependent kinase


Histone deacetylase inhibitors


Atomic force microscope


Propidium iodide


  1. Audia JE, Campbell RM. Histone modifications and cancer. Cold Spring Harb Perspect Biol. 2016.

    Article  Google Scholar 

  2. Behzadi S, Serpooshan V, Tao W, et al. Cellular uptake of nanoparticles: journey inside the cell. Chem Soc Rev. 2017;46(14):4218–44.

    CAS  Article  Google Scholar 

  3. Biswas S, Vaze OS, Movassaghian STV. Polymeric micelles for the delivery of poorly soluble drugs. New Jersey: Wiley; 2013.

    Google Scholar 

  4. Blanco E, Shen H, Ferrari M. Principles of nanoparticle design for overcoming biological barriers to drug delivery. Nat Biotechnol. 2015;33:941–51.

    CAS  Article  Google Scholar 

  5. Bravo-Cordero JJ, Hodgson L, Condeelis J. Directed cell invasion and migration during metastasis. Curr Opin Cell Biol. 2012;24(2):277–83.

    CAS  Article  Google Scholar 

  6. Chung S, Yao J, Suyama K, et al. N-cadherin regulates mammary tumor cell migration through Akt3 suppression. Oncogene. 2013.

    Article  Google Scholar 

  7. Davies C, Hogarth LA, Mackenzie KL, et al. P21WAF1 modulates drug-induced apoptosis and cell cycle arrest in B-cell precursor acute lymphoblastic leukemia. Cell Cycle. 2015.

    Article  Google Scholar 

  8. de Mello JC, Moraes VW, Watashi CM, et al. Enhancement of chlorpromazine antitumor activity by Pluronics F127/L81 nanostructured system against human multidrug resistant leukemia. Pharmacol Res. 2016;111:102–12.

    CAS  Article  Google Scholar 

  9. Díaz-Núñez M, Díez-Torre A, De Wever O, et al. Histone deacetylase inhibitors induce invasion of human melanoma cells in vitro via differential regulation of N-cadherin expression and RhoA activity. BMC Cancer. 2016.

    Article  Google Scholar 

  10. Dupont C, Armant DR, Brenner CA. Epigenetics: definition, mechanisms and clinical perspective. Semin Reprod Med. 2009;27:351–7.

    CAS  Article  Google Scholar 

  11. Duvic M. Histone deacetylase inhibitors: SAHA (Vorinostat). A treatment option for advanced cutaneous T-cell lymphoma. Haematol Meet Rep. 2008;2:39–43.

    Google Scholar 

  12. El-Say KM, El-Sawy HS. Polymeric nanoparticles: promising platform for drug delivery. Int J Pharm. 2017;528:675–91.

    CAS  Article  Google Scholar 

  13. Fang J, Nakamura H, Maeda H. The EPR effect: Unique features of tumor blood vessels for drug delivery, factors involved, and limitations and augmentation of the effect. Adv Drug Deliv Rev. 2011;63(3):136–51.

    CAS  Article  Google Scholar 

  14. Fardi M, Solali S, Farshdousti Hagh M. Epigenetic mechanisms as a new approach in cancer treatment: an updated review. Genes Dis. 2018;5(4):304–11.

    CAS  Article  Google Scholar 

  15. Farrugia M, Morgan SP, Alexander C, Mather ML. Ultrasonic monitoring of drug loaded Pluronic F127 micellular hydrogel phase behaviour. Mater Sci Eng C. 2014.

    Article  Google Scholar 

  16. Foroozandeh P, Aziz AA. Insight into cellular uptake and intracellular trafficking of nanoparticles. Nanoscale Res Lett. 2018;13(1):339.

    Article  Google Scholar 

  17. Friedl P, Locker J, Sahai E, Segall JE. Classifying collective cancer cell invasion. Nat Cell Biol. 2012;14(8):777–83.

    Article  Google Scholar 

  18. Haberland M, Montgomery RL, Olson EN. The many roles of histone deacetylases in development and physiology: implications for disease and therapy. Nat Rev Genet. 2009;10(1):32–42.

    CAS  Article  Google Scholar 

  19. Guo M, Mu Y, Yu D, et al. Comparison of the expression of TGF-β1, E-cadherin, N-cadherin, TP53, RB1CC1 and HIF-1α in oral squamous cell carcinoma and lymph node metastases of humans and mice. Oncol Lett. 2018.

    Article  Google Scholar 

  20. Kawamata N, Chen J, Koeffler HP. Suberoylanilide hydroxamic acid (SAHA; vorinostat) suppresses translation of cyclin D1 in mantle cell lymphoma cells. Blood. 2007.

    Article  Google Scholar 

  21. Kohn P, Huettner S, Komber H, et al. The use of the PeakForce TMquantitative nanomechanical mapping AFM-based method for high-resolution Young’s modulus measurement of polymers. Macromolecules. 2018;22:12.

    Google Scholar 

  22. Konsoula R, Jung M. In vitro plasma stability, permeability and solubility of mercaptoacetamide histone deacetylase inhibitors. Int J Pharm. 2008.

    Article  Google Scholar 

  23. Kumari P, Swami MO, Nadipalli SK, et al. Curcumin delivery by poly(lactide)-based co-polymeric micelles: an in vitro anticancer study. Pharm Res. 2016;33:826–41.

    CAS  Article  Google Scholar 

  24. Kwak TW, Kim DH, Il JY, Kang DH. Antitumor activity of vorinostat-incorporated nanoparticles against human cholangiocarcinoma cells. J Nanobiotechnol. 2015.

    Article  Google Scholar 

  25. Landry JJM, Pyl PT, Rausch T, et al. The genomic and transcriptomic landscape of a hela cell line. G3 Genes Genomes Genet. 2013;3:1213–24.

    CAS  Article  Google Scholar 

  26. Lee MK. Liposomes for enhanced bioavailability of water-insoluble drugs: in vivo evidence and recent approaches. Pharmaceutics. 2020;12:264.

    CAS  Article  Google Scholar 

  27. Manaspon C, Viravaidya-Pasuwat K, Pimpha N. Preparation of folate-conjugated pluronic F127/chitosan core-shell nanoparticles encapsulating doxorubicin for breast cancer treatment. J Nanomater. 2012.

    Article  Google Scholar 

  28. Nalls D, Tang SN, Rodova M, et al. Targeting epigenetic regulation of mir-34a for treatment of pancreatic cancer by inhibition of pancreatic cancer stem cells. PLoS ONE. 2011.

    Article  Google Scholar 

  29. Nie S, Hsiao WW, Pan W, Yang Z. Thermoreversible pluronic® F127-based hydrogel containing liposomes for the controlled delivery of paclitaxel: In vitro drug release, cell cytotoxicity, and uptake studies. Int J Nanomedicine. 2011;6:151–66.

    CAS  Article  Google Scholar 

  30. Ogata T, Nakamura M, Sang M, et al. Depletion of runt-related transcription factor 2 (RUNX2) enhances SAHA sensitivity of p53-mutated pancreatic cancer cells through the regulation of mutant p53 and TAp63. PLoS ONE. 2017.

    Article  Google Scholar 

  31. Prestegui-Martel B, Bermúdez-Lugo JA, Chávez-Blanco A, et al. N-(2-hydroxyphenyl)-2-propylpentanamide, a valproic acid aryl derivative designed in silico with improved anti-proliferative activity in HeLa, rhabdomyosarcoma and breast cancer cells. J Enzyme Inhib Med Chem. 2016;31:140–9.

    CAS  Article  Google Scholar 

  32. Qi SS, Sun JH, Yu HH, Yu SQ. Co-delivery nanoparticles of anti-cancer drugs for improving chemotherapy efficacy. Drug Deliv. 2017;24:1909–26.

    CAS  Article  Google Scholar 

  33. Russo A, Pellosi DS, Pagliara V, et al. Biotin-targeted Pluronic ® P123/F127 mixed micelles delivering niclosamide: a repositioning strategy to treat drug-resistant lung cancer cells. Int J Pharm. 2016;511:127–39.

    CAS  Article  Google Scholar 

  34. Shi XY, Ding W, Li TQ, et al. Histone deacetylase (HDAC) inhibitor, suberoylanilide hydroxamic acid (SAHA), induces apoptosis in prostate cancer cell Lines via the Akt/FOXO3a signaling pathway. Med Sci Monit. 2017;23:5793–802.

    Article  Google Scholar 

  35. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2020. CA Cancer J Clin. 2020.

    Article  Google Scholar 

  36. Suarez-Arnedo A, Figueroa FT, Clavijo C, et al. An image J plugin for the high throughput image analysis of in vitro scratch wound healing assays. PLoS ONE. 2020.

    Article  Google Scholar 

  37. Takai N, Desmond JC, Kumagai T, et al. Histone deacetylase inhibitors have a profound antigrowth activity in endometrial cancer cells histone deacetylase inhibitors have a profound antigrowth activity in endometrial cancer cells. Clin Cancer Res. 2004;10:1141–9.

    CAS  Article  Google Scholar 

  38. Tran TH, Choi JY, Ramasamy T, et al. Hyaluronic acid-coated solid lipid nanoparticles for targeted delivery of vorinostat to CD44 overexpressing cancer cells. Carbohydr Polym. 2014.

    Article  Google Scholar 

  39. Tsutsui Y, Tomizawa K, Nagita M, et al. Development of bionanocapsules targeting brain tumors. J Control Release. 2007.

    Article  Google Scholar 

  40. Vaidya FU, Sharma R, Shaikh S, et al. Pluronic micelles encapsulated curcumin manifests apoptotic cell death and inhibits pro-inflammatory cytokines in human breast adenocarcinoma cells. Cancer Rep. 2019;2:e1133.

    CAS  Article  Google Scholar 

  41. Ververis K, Hiong A, Karagiannis TC, Licciardi PV. Histone deacetylase inhibitors (HDACIS): multitargeted anticancer agents. Biol Targets Ther. 2013;7:47–60.

    CAS  Google Scholar 

  42. Wang J, Ma W, Tu P. The mechanism of self-assembled mixed micelles in improving curcumin oral absorption: In vitro and in vivo. Colloids Surfaces B Biointerfaces. 2015;133:108–19.

    CAS  Article  Google Scholar 

  43. Xu WS, Parmigiani RB, Marks PA. Histone deacetylase inhibitors: molecular mechanisms of action. Oncogene. 2007;3(2):166–79.

    Google Scholar 

  44. Zeng Z, Peng Z, Chen L, Chen Y. Facile fabrication of thermally responsive Pluronic F127-based nanocapsules for controlled release of doxorubicin hydrochloride. Colloid Polym Sci. 2014.

    Article  Google Scholar 

  45. Zhang J, Zhong Q. Histone deacetylase inhibitors and cell death. Cell. Mol. Life Sci. 2014;71(20):3885–901.

    CAS  Article  Google Scholar 

  46. Zhang ZY, Wu YQ, Zhang WG, et al. The expression of E-cadherin-catenin complex in adenoid cystic carcinoma of salivary glands. Chin J Dent Res. 2000;3:36–9.

    CAS  Google Scholar 

  47. Zhang D, Tao L, Zhao H, et al. A functional drug delivery platform for targeting and imaging cancer cells based on Pluronic F127. J Biomater Sci Polym Ed. 2015.

    Article  Google Scholar 

  48. Zhang YR, Lin R, Li HJ, et al. Strategies to improve tumor penetration of nanomedicines through nanoparticle design. Wiley Interdiscip. Rev. Nanomedicine Nanobiotechnology. 2019;11(1):e1519.

    Article  Google Scholar 

  49. Zhou X, Liu Z, Wang H, et al. SAHA (vorinostat) facilitates functional polymer-based gene transfection via upregulation of ROS and synergizes with TRAIL gene delivery for cancer therapy. J Drug Target. 2019;27:306–14.

    CAS  Article  Google Scholar 

  50. Zhu Y, Liao L. Applications of nanoparticles for anticancer drug delivery: a review. J Nanosci Nanotechnol. 2015;15:4753–73.

    CAS  Article  Google Scholar 

  51. Zhu P, Zhao N, Sheng D, et al. Inhibition of growth and metastasis of colon cancer by delivering 5-fluorouracil-loaded Pluronic P85 copolymer micelles. Sci Rep. 2016.

    Article  Google Scholar 

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This study received financial support from the Jiangsu Nature Science Foundation, BK20191188; the Life Sciences Research Network Wales project grant ‘Nanoparticle delivery of epigenetic modifiers: a targeted approach for Endometrial Cancer treatment’; the joint PhD program Swansea University and Houston Methodist; Welsh Government ERDF SMART Expertise 2014–2020 West Wales and the Valleys Grant RISE 2017/COL/001); National Natural Science Foundation of Youth Science Fund China (No. 22005237).

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Conceptualization and methodology: CL, RSC, and XW; formal analysis and data curation: SP and XW; validation and investigation: XW, YH, LH, SP, JGP, AG, KE, and VF; writing—original draft preparation and writing—review and editing: SP, XW, LF, DG, CL, and RSC; approval of final manuscript: all authors. All authors read and approved the final manuscript.

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Correspondence to C. Li.

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Pisano, S., Wang, X., Garcia-Parra, J. et al. Nanomicelles potentiate histone deacetylase inhibitor efficacy in vitro. Cancer Nano 11, 14 (2020).

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  • Pluronic
  • Drug delivery
  • Nanomicelles
  • Epigenetic drugs
  • Cancer
  • SAHA