Open Access

Ribosome biogenesis mediates antitumor activity of flavopiridol in CD44+/CD24‑ breast cancer stem cells

  • Authors:
    • Ayse Erol
    • Eda Acikgoz
    • Ummu Guven
    • Fahriye Duzagac
    • Ayten Turkkani
    • Nese Colcimen
    • Gulperi Oktem
  • View Affiliations

  • Published online on: September 22, 2017     https://doi.org/10.3892/ol.2017.7029
  • Pages:6433-6440
  • Copyright: © Erol et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Flavopiridol is a synthetically produced flavonoid that potently inhibits the proliferation of human tumor cell lines. Flavopiridol exerts strong antitumor activity via several mechanisms, including the induction of cell cycle arrest and apoptosis, and the modulation of transcriptional regulation. The aim of the present study was to determine the effect of flavopiridol on a subpopulation of cluster of differentiation (CD)44+/CD24‑ human breast cancer MCF7 stem cells. The CD44+/CD24‑ cells were isolated from the MCF7 cell line by fluorescence‑activated cell sorting and treated with 100, 300, 500, 750 and 1,000 nM flavopiridol for 24, 48 and 72 h. Cell viability and proliferation assays were performed to determine the inhibitory effect of flavopiridol. Gene expression profiling was analyzed using Illumina Human HT‑12 v4 Expression BeadChip microarray. According to the results, the half maximal inhibitory concentration (IC50) value of flavopiridol was 500 nM in monolayer cells. Flavopiridol induced growth inhibition and cytotoxicity in breast cancer stem cells (BCSCs) at the IC50 dose. The present study revealed several differentially regulated genes between flavopiridol‑treated and untreated cells. The result of the pathway analysis revealed that flavopiridol serves an important role in translation, the ribosome biogenesis pathway, oxidative phosphorylation, the electron transport chain pathway, carbon metabolism and cell cycle. A notable result from the present study is that ribosome‑associated gene expression is significantly affected by flavopiridol treatment. The data of the present study indicate that flavopiridol exhibits antitumor activity against CD44+/CD24‑ MCF7 BCSCs through different mechanisms, mainly by inhibiting translation and the ribosome biogenesis pathway, and could be an effective chemotherapeutic molecule to target and kill BCSCs.

Introduction

Breast cancer is a common type of malignancy in the world and a major cause of mortality in females between 30 and 59 years of age (1). Breast cancer is a heterogeneous disease in terms of histology, pathology, and genetic and molecular profiles (2). Despite diagnostic and therapeutic advances, breast cancer patients still often exhibit relapse or metastasis subsequent to therapy (3).

Tumors are morphologically heterogeneous, composed of undifferentiated and differentiated cells (4). Cancer stem cells (CSCs) have been identified as a subpopulation within the tumor possessing the ability to self-renew and differentiate into non-tumorigenic cell populations that constitute the bulk of the tumor (5). CSCs have been associated with tumor initiation, therapy resistance and tumor recurrence. CSCs are a major problem for cancer therapy, and the elimination of CSCs is required for an effective treatment (6). The presence of CSC population in breast cancer has been demonstrated in several studies (7,8). Breast cancer stem cells (BCSCs) were first isolated by Al-Hajj et al (9) in 2003 from the pleural effusions of a patient. Specific cell surface markers and biomarkers are used to identify and isolate BCSCs. The adhesion molecule cluster of differentiation (CD) 44 is a multifunctional cell surface transmembrane glycoprotein that serves a role in cell adhesion, proliferation, differentiation, motility and migration (10). In breast cancer, CD44+/CD24 expression was demonstrated as prospective phenotype to isolate BCSCs. Al-Hajj et al (9) reported that breast cancer cells exhibiting an increased expression of CD44+/CD24 were able to form tumors when injected into immunodeficient mice.

Cyclin-dependent kinases (CDKs) serve an essential role in the control of the cell cycle, and are associated with cytoskeletal dynamics, epigenetic regulation, controlling stem cell self-renewal, regulating metabolism, cell migration, regulation of transcription, DNA damage, and genomic and chromosomal instability (11). The dysregulation of CDK expression contributes to the loss of normal cell cycle control, which leads to the formation and progression of cancer (12). Therefore, the inhibition of CDKs by small-molecule CDK inhibitors may be an effective treatment of cancer. The dysregulation of cyclin D and the CDK pathway in cancer cells may inhibit senescence and promote cellular proliferation (13). By using various different mechanisms, malignant cells may increase cyclin D-dependent activity. The cyclin D-CDK4/6-retinoblastoma pathway controls the cell cycle restriction point, and is commonly dysregulated in breast cancer, making it a possible target for anticancer therapy (14).

Flavopiridol is a semisynthetic flavonoid that was the first CDK inhibitor used in clinical trials (15). Flavopiridol exhibits an antitumor effect against a variety of tumor types, including several solid tumors, through cytostatic activity, and induces cell cycle arrest and apoptosis (16). This flavonoid is a promising anticancer drug that is undergoing phase I and II clinical trials for chronic myeloid leukemia and pancreatic cancer (17,18). Our previous study demonstrated that flavopiridol induced growth inhibition and apoptosis in CD133+/CD44+ prostate CSCs (19).

BCSCs have been proposed to be responsible for numerous properties of breast cancer such as resistance, metastatic properties and recurrence (20). Conventional anticancer therapies may kill the majority of the cancer cells, but CSCs are not affected by these therapies (21). For a more effective treatment of breast cancer, it may be necessary to target CSCs. Genome-wide gene expression profiling based on microarray analysis is a powerful tool to elucidate the possible mechanisms of cancer drugs. The present study aimed to investigate the cytotoxic effects and underlying mechanism of action of flavopiridol against human breast CSCs.

Materials and methods

Cell culture conditions and reagents

Human breast cancer MCF7 cells were obtained from Interlab Cell Line Collection (Genova, Italy) and were grown in monolayer cell culture in RPMI 1640 culture medium (Lonza Group AG, Basel, Switzerland) containing 10% heat-inactivated fetal bovine serum (Gibco; Thermo Fisher Scientific, Inc., Waltham, MA, USA), 1% penicillin and 1% streptomycin (Sigma-Aldrich; Merck KGaA, Darmstadt, Germany). The cells were cultured in 25-cm2 polystyrene flasks (Corning Life Sciences, Corning, NY, USA) and incubated for 48 h at 37°C in a humidified atmosphere of 5% CO2. Flavopiridol (Sigma-Aldrich; Merck KGaA) was prepared as 10 mM stock solution in dimethyl sulfoxide (DMSO), and the final volume of DMSO did not exceed 0.1% of the total incubation volume and was not cytotoxic to the tumor cells at these concentrations (data not shown).

Fluorescence-activated cell sorting (FACS)

To sort the CSCs subpopulations in the human breast cancer MCF7 cell line, the antibodies of expressed surface markers CD44+/CD24, anti-CD44 conjugated to fluorescein isothiocyanate (10 µl/106 cell; FITC; cat. no. 555478; BD Biosciences, Franklin Lakes, NJ, USA) and anti-CD24 conjugated to phycoerythrin (10 µl/106 cell; PE; clone 32D12; Miltenyi Biotec GmbH, Bergisch Gladbach, Germany) were used. The MCF7 cells were seeded and grown to 80% confluence. The cells were detached using a non-enzymatic cell dissociation solution (Sigma-Aldrich; Merck KGaA) and resuspended in RPMI 1640 culture medium. A total of ~5×104 cells were incubated with anti-CD44-fluorescein isothiocyanate (FITC; clone G44 26; BD Biosciences, Franklin Lakes, NJ, USA) and anti-CD24-phycoerythrin (PE; clone 32D12; Miltenyi Biotec GmbH, Bergisch Gladbach, Germany) in FACS stain buffer (cat. no. 554657; BD Pharmingen, Franklin Lakes, NJ, USA) for 15 min at 4°C. After 15 min, the cells were washed with the above FACS wash buffer and resuspended in FACS stain buffer (cat. no 554657, BD Pharmingen, Franklin Lakes, NJ, USA) to a density of 107 cells/ml. The cells were sorted into a CD44+/CD24 population (sorted cells) using a FACSAria flow cytometer (BD Biosciences).

Analysis of cell viability

The viability of the cells following treatment was determined using the Muse® Count & Viability kit (Muse Cell Analyzer; EMD Millipore, Billerica, MA, USA) according to the protocol of the manufacturer. The cells were seeded in triplicate in 6-well plates at a density of 1×104 cells/well. Subsequent to a 24-h incubation, the cells were exposed to 500, 750 and 1,000 nM flavopiridol. The plates were then incubated at 37°C in a 5% CO2 incubator for 24, 48 and 72 h. Subsequent to incubation, all cells were collected and diluted with PBS. In total, 50 µl of the cell suspension was then added to 450 µl Muse® Count & Viability reagent (dilution, 10X), incubated for 5 min at room temperature and analyzed using the Muse Cell Analyzer. Data were presented as proportional viability (%) by comparing the treated group with the untreated cells.

RNA isolation and microarray analysis

The BCSCs were treated with a dose of flavopiridol equivalent to its half maximal inhibitory concentration (IC50). Total RNA was extracted from the treated and untreated cells using the RNeasy Mini kit (Qiagen, Inc., Valencia, CA, USA) according to the protocol of the manufacturer. Biotin-labeled RNA samples for hybridization on Illumina Human HT-12 v4 Expression BeadChip (Illumina, Inc., San Diego, CA, USA) were prepared according to the recommended sample labeling procedure of Illumina, Inc. A total of 250 ng total RNA was used for cDNA synthesis, followed by an amplification/labeling step to synthesize biotin-labeled cRNA. The quality of the cRNA was controlled using the Agilent 2100 Bioanalyzer (Agilent Technologies, Inc., Santa Clara, CA, USA). Hybridization was performed at 58°C in GEX-HCB buffer (Illumina, Inc.) at a concentration of 150 ng cRNA/µl. The BeadChips were subsequently washed, blocked and conjugated with cyanine 3-streptavidin (Thermo Fisher Scientific, Inc.). The microarrays were scanned in the iScan System (Illumina, Inc.). The obtained amplification data (fold-changes in the quantification cycle values of all the genes) were processed in Agilent GeneSpring Data Analysing Software (Agilent Technologies, Inc.) and >2 fold-change was used for filtering criteria.

Statistical analysis

The statistical software package SPSS version 20.0 for Windows (IBM Corp., Armonk, NY USA) was used for all statistical analysis. All experiments were performed independently three times. Statistical analysis was tested by one-way analysis of variance, followed by Tukey's or Dunnett's post hoc tests. All data are presented as mean ± standard deviation from 3 independent experiments. P<0.05 was considered to indicate a statistically significant difference.

Results

Sorting breast cancer MCF7 cells and purity of the CD44+/CD24− sorted subpopulations

Human breast cancer MCF7 cells were separated with FACS, yielding a CD44+/CD24 population (Fig. 1). The present study obtained MCF7 CSC and non-CSC subpopulations. According to the results, the mean percentage of MCF7 CSCs and non-CSCs were 1.6 and 98.4%, respectively. The purity of the CSCs samples was tested with anti-CD44 and anti-CD24 antibodies. The sorting rate analysis and purity of the cells were evaluated sequentially, and the rate was 96.7±5.4% for the sorted cells. To confirm the flow cytometry analyses, the cells were re-evaluated following sorting, and the analyses were repeated subsequent to one passage. The results revealed that the cell purity following sorting was >90%.

Increasing cytotoxicity of CD44+/CD24− BCSCs with flavopiridol

Cytotoxicity assays were performed to determine the therapeutic effect of flavopiridol. MCF7 CSCs were exposed to 100–1,000 nM flavopiridol for 24, 48 and 72 h, and the percentage of viable cells in the samples was determined by a cell viability assay. Flavopiridol reduced the cell viability of CSCs in a time- and concentration-dependent manner (Fig. 2A-C). According to the data, there were no significant decreases in cell viability at the low doses (100 and 300 nM) of flavopiridol treatment for 24 h compared with that of the untreated cells (P=0.642). After 48 h of treatment, flavopiridol significantly reduced the cell viability of BCSCs at 500, 750 and 1,000 nM compared with that of the untreated cells (P=0.000). After 72 h of treatment with flavopiridol, the IC50 was calculated as 500 nM.

Microarray analysis for the identification of differentially expressed genes in MCF7 CD44+/CD24− cells treated with flavopiridol

To analyze the molecular mechanisms underlying the anticancer effect of flavopiridol in BCSCs, the MCF7 CD44+/CD24 cells were treated with 500 nM flavopiridol for 72 h. To identify flavopiridol-regulated genes and determine the possible mechanism underlying the differential role of flavopiridol on the growth of MCF7 CD44+/CD24 cells, global gene expression profiling was undertaken following treatment with flavopiridol using the Illumina Human HT-12 v4 Expression BeadChip. According to the results of microarray analysis, 65 genes were identified as significantly affected subsequent to treatment with flavopiridol, since the expression of 57 genes decreased and the expression of 8 genes increased compared with that in untreated cells at 72 h (Table I).

Table I.

Changes in the expression of upregulated and downregulated genes following treatment with flavopiridol.

Table I.

Changes in the expression of upregulated and downregulated genes following treatment with flavopiridol.

A, Translation pathway and ribosome biogenesis pathway

Probe IDSymbol Fold-changeaRegulationDefinition
4920193RPL27A−2.7026234DownRPL27a
6060356RPL13A−2.1516730DownRPL13a
3360228RPS20−2.0229893DownRPS20
5290082RPLP1−2.1037197DownRiP, large, P1
1710369RPL3−2.5006313DownRPL3, transcript variant 2
620754RPS5−2.3889322DownRPS5
7040095RPL17−2.0128388DownRPL17, transcript variant 2
990273RPL37A−2.2212677DownRP L37a
3060477RPL8−2.4217634DownRPL8, transcript variant 2
3610241RPL19−3.2778310DownRPL19
3800332RPS25−2.3831854DownRPS25
5260682RPS14−2.5092149DownRPS14, transcript variant 2
5220037RPS2−3.9913297DownRPS2
6960181RPS12−2.9727620DownRPS12
7510482RPS4X−2.1651378DownRPS4, X-linked
20021RPS15−2.4493800DownRPS15
5560349RPS11−2.6253710DownRRPS11
5890730RPS26L−2.8872151DownPredicted: Homo sapiens 40S RPS26-like
510195RPL27−2.4229383DownRPL27
840647RPL36−2.7411752DownRPL36, transcript variant 1
4250445RPL4−2.0928760DownRPL4
6250097RPS9−2.3448272DownRPS9
1410537RPSA−2.1424713DownRPSA, transcript variant 1
6270546RPS6−2.3560820DownRPS6
6590377RPS26−2.1171474DownRPS26
4250445RPL4−2.0012200DownRPL4
3610309LOC653881−2.6014566DownPredicted: Similar to RPL3
2490450LOC91561−2.2661705DownPredicted: Similar to RPS2, transcript variant 3
3440670LOC402251−2.3879724DownPredicted: Similar to eukaryotic translation elongation factor 1 α 2
4060446LOC649150−3.2092447DownPredicted: Similar to eukaryotic translation elongation factor 1 α 2
1440398LOC644511−2.2366867DownPredicted: Similar to RPL13a, transcript variant 1
1570491LOC648000−2.3058624DownPredicted: Similar to 60S RPL7, transcript variant 1
2320494LOC653314−3.1144562DownHomo sapiens similar to RPL19
6280021LOC441876−2.8330393DownPredicted: Similar to 40S RPS16,
870593LOC285053−2.3860030DownPredicted: Similar to RPL18a, transcript variant 1
5720747LOC441775−2.6068625DownPredicted: Similar to 60S RPL18
2190546LOC388654−2.2629400DownPredicted: Similar to laminin receptor 1 (RPSA)
5720747LOC441775−2.6068625DownPredicted: Similar to 60S RPL18
6330373EEF1B2−2.3026142DownEukaryotic translation elongation factor 1 β 2, transcript variant 1
3850121EEF1A1−3.1777650DownEukaryotic translation elongation factor 1 α 1

B, Oxidative phosphorylation and electron transport chain pathway

3850110COX6A1−2.1455740DownCytochrome c oxidase subunit Vıa polypeptide 1
4490259COX8A−2.9969997DownCytochrome c oxidase subunit 8A (ubiquitous)

C, Carbon metabolism

2760358NME1-2−2.3299380DownNME1-NME2 readthrough
1940360TPI1−2.8388138DownTriosephosphate isomerase 1
6590253ALDOA−2.1273860DownALDOA
6520128GPX4−2.1577030DownGlutathione peroxidase

D, Mammary gland development pathway

5860138RIPK4−2.1919790Down Receptor-interacting serine-threonine kinase 4

E, G protein-mediated signaling pathway via Gα12/Gα13 family

2850402PFN1−2.4898353DownProfilin 1

F, Tumor necrosis factor-mediated signaling pathway

670673BCL2L1−2.0002713DownBCL2-like 1, nuclear gene encoding mitochondrial

G, Signaling pathway pertinent to immunity

1980594FTHL8−3.2119188DownFerritin, heavy polypeptide-like 8
2970431FTHL7−4.2565985Down   FTHL7

H, Toll-like receptor signaling pathway

3840154SPP1−3.0712519DownSPP1, transcript variant 1

I, Signaling by TGF-β receptor complex

1430239UBC−2.8056865DownUBC

J, Regulatory and cell adhesion signaling pathways

5570132ACTB−3.4210854DownActin, β

K, NRF2 pathway

4920767FTL−3.1391878DownFerritin, light polypeptide

L, Folate-alcohol and cancer pathway

6510754ALDH1A1−2.9203625DownAldehyde dehydrogenase 1 familyer A1

M, Cell adhesion signaling pathway

610437CD242.9155455UpCD24 molecule

N, Calcium/calcium-mediated signaling pathway

7100711CALM22.7985630UpCalmodulin 2 (phosphorylase kinase, delta)

O, Amino acid metabolism

450161FAHD12.1592160UpFumarylacetoacetate hydrolase domain containing 1

P, Protein modification pathway

Probe IDSymbol Fold-changea Regulation Definition

4590110SEPT92.2080840UpSeptin 9

Q, Cell cycle

870491BUB32.1889267UpBUB3 budding uninhibited by benzimidazoles 3

R, Regulation of actin cytoskeleton

2760292PPP1CC2.6673288UpProtein phosphatase 1, catalytic subunit

S, Vasopressin-regulated water reabsorption

4230520DNCL12.0563870UpDynein, cytoplasmic, light polypeptide 1

T, Transport pathway

1740136SLC38A22.1263490UpSolute carrier family 38, member 2

a >2 fold-change was considered to be significant (P<0.05). NME, nucleoside diphosphate kinase; ALDOA, aldolase A, fructose-bisphosphate; BCL-2, B-cell lymphoma 2; RP, ribosomal protein; FTHL7, ferritin, heavy polypeptide-like 7; SPP1, secreted phosphoprotein 1; UBC, ubiquitin C; CD, cluster of differentiation; TGF, transforming growth factor; ACTB, actin, beta; FTL, ferritin, light polypeptide; ALDH1A1, aldehyde dehydrogenase 1 family, member A1; CD24, CD24 molecule; CALM2, calmodulin 2; FAHD1, fumarylacetoacetate hydrolase domain containing 1; BUB3, BUB3 budding uninhibited by benzimidazoles 3; PPP1CC, protein phosphatase 1, catalytic subunit; DNCL1, dynein, cytoplasmic, light polypeptide 1; SLC38A2, solute carrier family 38, member 2.

To investigate the mechanism involved in the flavopiridol-induced antiproliferative effect on MCF7 CD44+/CD24 CSCs, pathway analysis was performed using the WikiPathways database (www.wikipathways.org). Specifically, these pathways are involved in the translation pathway, ribosome biogenesis, oxidative phosphorylation, the electron transport chain pathway, carbon metabolism, mammary gland development, protein modification and the cell cycle (Fig. 3A and B).

Discussion

BCSCs have been identified as subpopulations of cells within breast tumors that possess tumor-initiating potential in addition to the ability to self-renew and differentiate into a diverse range of progeny cells that make up the tumor (22) These cells are resistant to traditional therapies against cancer, including chemotherapy and radiation therapy (5). Although treatments associated with cancer therapy kill the majority of tumor cells, CSCs are not killed (23). Therefore, a more effective strategy for the treatment of breast cancer may target CSCs. The present study investigated the effect and underlying mechanism of flavopiridol on BCSCs with respect to antitumor properties. The results demonstrated that flavopiridol dose-dependently induced the growth inhibition of BCSCs.

To isolate populations of BCSCs within tumors, the phenotypic definition of a CSC must first be established. CSCs have been identified using cell surface markers in the majority of cancer types. The present study isolated BCSCs based on the CD44+/CD24 phenotype from the breast cancer MCF7 cell line. Al-Hajj et al (9) revealed that breast cancer tumorigenic cells exhibit a CD44+/CD24/low phenotype. Several studies have used the CD44+/CD24and/or the aldehyde dehydrogenase (ALDH)+ phenotype for BCSC isolation (9,24). Ginestier et al (25) isolated stem-like cells from primary breast xenografts using CD44+/CD24 and ALDH activity, revealing that these cells displayed the greatest tumor-initiating capacity, generating tumors in non-obese diabetic/severe combined immunodeficiency mice from as little as 20 cells.

Cyclins and CDK inhibitors are involved in cell morphogenesis, adhesion, migration, DNA repair, transcription, cytoskeleton dynamics and cell motility. Flavopiridol is the first CDK inhibitor that exhibits an antitumor effect against a variety of tumor types in several solid tumors (26) The results of the present study revealed that flavopiridol reduced the level of cell viability of BCSCs in a dose- and time-dependent manner, and that flavopiridol appears to possess multiple targets within tumor cells. The number of publications involving the effect of flavopiridol on CSC is quite limited. Soner et al (19) demonstrated that flavopiridol induced growth inhibition and apoptosis by the upregulation of p53 and caspases 3 and 8 in CD133+/CD44+ prostrate CSCs.

The translation and ribosome biogenesis pathways serve important roles in numerous cellular processes and are more active in cancer cells compared with those in normal cells. The inhibition of translation and ribosome biogenesis have been reported to be associated with alterations in the cell cycle and the regulation of cell growth (27). The present study demonstrated that flavopiridol induced the downregulation of translation and ribosome biogenesis genes in CSCs. According to previous studies, flavopiridol induced G1/S-phase cell cycle arrest (28,29). The mechanism of flavopiridol on the cell cycle may be associated with ribosome biogenesis. Cancer cells have been suggested to exhibit a higher rate of ribosome biogenesis compared with that in normal cells. Changes of proto-oncogenes and tumor-suppressor genes activate the mechanisms that stimulate cell growth and proliferation, and initiate certain pathways that enhance ribosome biogenesis (30,31). Derenzini et al (32) demonstrated that the inhibition of ribosomal RNA synthesis caused an accelerated or delayed G1/S-phase progression in rat hepatoma cells.

The present study demonstrated the effects of flavopiridol on BCSCs, suggesting that flavopiridol induced growth inhibition in CD44+/CD24 BCSCs and inhibited the translation and ribosome biogenesis pathways. Flavopiridol is one of the most promising chemotherapy drug candidates for the treatment of cancer. However, the data on the effects of flavopiridol on cancer remain limited. An increased understanding of the mechanisms responsible for the effects of the drug is required to improve novel therapeutic strategies for breast cancer. Combination drug therapies targeting CSCs may be an effective method to prevent relapse and resistance in cancer therapies.

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December 2017
Volume 14 Issue 6

Print ISSN: 1792-1074
Online ISSN:1792-1082

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APA
Erol, A., Acikgoz, E., Guven, U., Duzagac, F., Turkkani, A., Colcimen, N., & Oktem, G. (2017). Ribosome biogenesis mediates antitumor activity of flavopiridol in CD44+/CD24‑ breast cancer stem cells. Oncology Letters, 14, 6433-6440. https://doi.org/10.3892/ol.2017.7029
MLA
Erol, A., Acikgoz, E., Guven, U., Duzagac, F., Turkkani, A., Colcimen, N., Oktem, G."Ribosome biogenesis mediates antitumor activity of flavopiridol in CD44+/CD24‑ breast cancer stem cells". Oncology Letters 14.6 (2017): 6433-6440.
Chicago
Erol, A., Acikgoz, E., Guven, U., Duzagac, F., Turkkani, A., Colcimen, N., Oktem, G."Ribosome biogenesis mediates antitumor activity of flavopiridol in CD44+/CD24‑ breast cancer stem cells". Oncology Letters 14, no. 6 (2017): 6433-6440. https://doi.org/10.3892/ol.2017.7029