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Introduction

Ovarian cancer is the most lethal gynecological malignancy in the world (1). Due to the limited number of specific symptoms, women usually only seek medical help once the disease is at an advanced stage, with distant metastases (2). Overall, 90% of ovarian cancer cases are epithelial ovarian cancer (EOC) (3). Standard therapy for advanced EOC involves a combination of cytoreductive surgery and platinum-based chemotherapy, with the combination of paclitaxel and platinum being the standard adjuvant chemotherapy regimen for EOC (4). Paclitaxel is an important agent for EOC treatment, and is an effective first-line therapy for advanced ovarian cancer. However, recurrence still affects the majority of patients a short period following chemotherapeutic intervention (5). The main cause for the failure of chemotherapy is chemoresistance of the tumor tissues, which adversely affects the prognosis of patients with ovarian cancer. Furthermore, patients with ovarian carcinoma may have variable responses to the standard chemotherapeutic regimen, even when they have the same histologic type. Heterogeneity of the tumor tissue, one of the primary features of malignancies, is thought to be the main factor causing this difference (6). With the incidence of paclitaxel resistance increasing, it is necessary to identify novel, specific biomarkers that predict chemosensitivity to paclitaxel to improve outcomes for patients with ovarian cancer (7,8).

The chemosensitivity test is an in vitro, predictive assay for used to assess cancer cell sensitivity to a range of chemotherapeutic agents. Adenosine triphosphate-tumor chemosensitivity assays (ATP-TCA) are sensitive assays that have been widely used to determine the drug sensitivity of solid tumors in the past few years (9). ATP-TCA measures the intracellular ATP levels of drug-exposed cells and untreated controls to assess tumor cell viability. This method has notable advantages for guiding the design of chemotherapy protocols and individualized treatments, and assessing novel chemotherapeutic drugs. Since its introduction, a number of studies have reported that ATP-TCA have a high sensitivity and a positive predictive value, and accurately predict the response to chemotherapy in ovarian cancer (10,11).

In the present study, ATP-TCA was used to assess the chemosensitivity of EOC to paclitaxel. Parameters determined by analyzing the correlation between the inhibition rate and paclitaxel doses were measured as follows: Inhibitory concentration (IC)90 and IC50, (90 or 50% growth inhibition in vitro, respectively), and sensitivity index (SI), which was calculated by summation of the percentage of tumor growth inhibition (TGI) at each concentration detected (12). SI >250 was suggested to be the optimal standard for predicting chemoresistance. Therefore, 250 were selected as the cut-off point for SI in the present study (13).

Paclitaxel is known to induce cytotoxicity by triggering apoptosis via regulation of the expression of apoptosis-associated proteins in the caspase-independent and caspase-dependent pathways, or by preventing tubulin depolymerization during the metaphase to anaphase transition of mitosis (14). However, paclitaxel resistance limits its use in the long-term management of EOC, and the molecular mechanisms underlying this resistance remain to be fully elucidated. Therefore, the identification of specific markers for ovarian cancer with paclitaxel resistance is a long-term goal of the medical community. The present study aimed to identify proteins associated with paclitaxel resistance in ovarian cancer, in order to investigate the molecular mechanisms underlying paclitaxel resistance and discover potential novel drug targets for paclitaxel-resistant ovarian cancer (15).

In the present study, two approaches for quantitative proteomic analysis were selected for identifying the differentially expressed proteins between paclitaxel-resistant and paclitaxel-sensitive groups of ovarian cancer tissues: iTRAQ analysis and two-dimensional electrophoresis coupled to liquid chromatography tandem mass spectrometry (LC-MS/MS). iTRAQ is a gel free mass spectrometry technique, applying isobaric amine specific tags to compare peptide intensities between samples, then inferring quantitative values for the corresponding proteins. LC-MS/MS is based on the differential two-dimensional gel electrophoresis pattern between protein samples and provides additional biological information, including molecular weight alterations or isoelectric point drift, based on which protein functions are implicated (16). The present study aimed to identify biomarkers, which were associated with paclitaxel-resistant ovarian cancer, providing information to aid our understanding of the underlying molecular mechanisms and to predict treatment responses to therapeutic agents. The ovarian cancer-specific proteins identified were further confirmed by western blot analysis (17).

Materials and methods

Ethics statement

The study protocol received approval from the Ethics Committee of the Beijing Shijitan Hospital, Capital Medical University (Beijing, China). Written, signed informed consent was obtained from all patients and their family members prior to surgery. All procedures were carried out in agreement with the Code of Ethics of the World Medical Association (Declaration of Helsinki, 1964; as revised in 2004).

Tumor samples

A total of 54 fresh specimens were obtained from patients with EOC who underwent staging surgery at the Beijing Shijitan Hospital, Beijing University People's Hospital (Beijing, China), People's Liberation Army General Hospital (Beijing, China) and Beijing Obstetrics and Gynecology Hospital (Beijing, China), between March 2013 and December 2014. Routine histopathology was conducted on formalin-fixed and paraffin-embedded samples, which were obtained from the same tissues, by at least two experienced gynecological pathologists (the Beijing Shijitan Hospital) in order to determine the malignancy and the stage of the tumor samples. Each fresh collected sample was divided into two fractions: One was prepared for ATP-TCA, and the other was stored at −80°C for subsequent tests. The ATP-TCA was conducted as a routine procedure immediately following surgery using residual primary tumor samples which were not required for histopathology. The sensitivity of viable ovarian cancer cells harvested from malignant tissues to paclitaxel (Corden Pharma Latina S.P.A., Sermoneta Italy) was then detected as follows.

In vitro ATP-TCA

An ATP-TCA kit, containing serum-free complete assay medium, digestive enzyme and luciferin-luciferase reagent (Huzhou Haichuang Biotech Co., Ltd., Huzhou, China) was used for the assessment of chemosensitivity. The ATP-TCA was performed as previously described (12,18). Briefly, samples (1–2 cm3) were harvested from solid tumors during surgical resection and cut into smaller fragments (1 mm3). The fragments were then incubated with 5–10 ml sterile digestive enzyme reagent for 2–3 h at 37°C in a 5% CO2 incubator, and dissociated to form a single cell suspension. Once the concentration of the cell suspension was adjusted to 2–4×105/ml, 100 µl cell suspension was seeded into a 96-well polypropylene microplate. Cells were incubated with 5% CO2 at 37°C for 5 days, and treated with five different doses (12.5, 25, 50, 100 and 200%) of the test drug concentration (TDC) derived from the plasma peak concentrations, which were in turn determined by pharmacokinetic and clinical information (19). The standard 100% TDC value of paclitaxel was 13.8 g/ml. The assay was performed in duplicate wells, with positive and negative controls. For each dose, two controls were included in each plate: A drug free control comprised of media only (M0) and a maximum inhibitor (MI) control which kills all cells present. At the end of the 5 day-incubation, the cells were lysed with 50 µl ATP extraction reagent, and 50 µl luciferin-luciferase reagent was added to each well. A luminometer (Orion II; Berthold Technologies GmbH & Co. KG, Bad Wildbad, Germany) was used to assess the level of ATP present, and an inhibition curve was plotted.

iTRAQ combined with LC-MS/MS

According to the results of the ATP-TCA, tumor specimens were divided into three main types: Sensitive, weakly sensitive and resistant. In order to screen the altered proteins associated with paclitaxel resistance more effectively, sensitive specimens (S group, n=8) and resistant specimens (R group, n=8) were selected for iTRAQ analysis. Frozen tissues were homogenized and sonicated (20 kHz) using 0.5% sodium dodecyl sulfate (SDS) with a cell disperser, followed by centrifugation at 20,000 × g for 30 min at 4°C to eliminate the cell debris. Following this, the supernatant was collected, and the Bradford assay was used to determine protein concentration. Next, 100 µg protein per condition were treated with dithiothreitol (10 mM) and iodoacetamide (55 mM) for reduction and alkylation. Following this, the proteins were digested with trypsin (Promega Corporation, Madison, WI, USA), and the resultant peptides mixture was further labeled using chemicals from the iTRAQ reagent kit (Applied Biosystems; Thermo Fisher Scientific, Inc., Waltham, MA, USA) according to the manufacturer's protocols. The samples were marked with iTRAQ tags as follows: iTRAQ115 for the S group and iTRAQ116 for the R group.

Next, the iTRAQ-labeled peptides were pooled and fractionated by strong cation exchange (SCX) chromatography on a SCX column (5 µm, 100A; Phenomenex, Torrance, CA, USA) with a linear gradient from 0% B to 100% B in 90 min at a flow rate of 1 ml/min (solution A: 10 mM KH2PO4, pH 3.0, 25% acetonitrile; solution B: 2 M KCl, 10 mM KH2PO4, pH 3.0, 25% acetonitrile). According to the chromatography results, the collected fractions were recombined into 16 fractions and then freeze-dried (−10°C). Following this, each freeze-dried fraction from the SCX column was re-dissolved in 100 µl 0.1% formic acid aqueous solution, and then desalted using a strata-X C18 column (Phenomenex). The sample was then extracted and analyzed using nano-LC-MS/MS with a quadrupole-Orbitrap mass spectrometer (Q-Exactive; Thermo Fisher Scientific, Inc.) as previously described (20).

Western blot analysis

Based on the proteomic results, two proteins of interest, plexin domain containing 2 (Plxdc2) and cytokeratin 7 (CK7), were expressed at higher levels in paclitaxel-resistant tissues than paclitaxel-sensitive tissues. Western blot analysis was used to examine the expression of CK7 and Plxdc2 in EOC tissues with different chemosensitivities (sensitive, weakly sensitive and resistant). The protein selections were based on a high fold change (FC) and high significance (Plxdc2, P<0.05; FC=1.539; CK7, P<0.05; FC=1.724). The extracted proteins (20 µg) were separated by 12% SDS-PAGE and transferred onto nitrocellulose membranes. Following blocking with 5% non-fat milk in Tris-buffered saline with 0.1% Tween-20 at room temperature for 1 h, the membranes were probed with the following primary antibodies: Rabbit anti-human polyclonal Plxdc2 (dilution, 1:5,000; cat. no. NBP1-76858; Novus Biologicals, LLC, Littleton, CO, USA) and rabbit anti-human polyclonal CK7 (dilution, 1:10,000; cat. no. ab154334; Abcam, Cambridge, MA, USA) at 4°C overnight. Following washing with Tris-buffered saline with Tween-20 three times, the membranes were incubated with a horseradish peroxidase-conjugated goat anti-rabbit immunoglobulin G antibody (dilution, 1:5,000; cat. no. ab97051; Abcam, Cambridge, MA, USA) at room temperature for 1–2 h. Membranes were washed as aforementioned and analyzed using a two-color infrared imaging system (Odyssey; Li-COR Biosciences, Lincoln, NE, USA). The gray level of each band was calculated using image processing ImageJ software (version 1.48; National Institutes of Health, Bethesda, MA, USA). Densitometric analysis of the bands was conducted three times and normalized to GAPDH (dilution, 1:5,000; cat. no. ab9485; Abcam, Cambridge, MA, USA).

Data analysis

ATP-TCA

ATP-TCA data were exported to a Microsoft Excel 2010 spreadsheet (Microsoft Corporation, Redmond, WA, USA), and the parameters SI (SI=500 - sum of % TGI at 200, 100, 50, 25 and 12.5% TDC), IC90 and IC50 were compared. The three types of in vitro sensitivity were defined below: Sensitive (S), IC50 <25% TDC and IC90 ≤100% TDC; weakly sensitive (WS), IC50 <25% TDC and IC90 ≤100% TDC or SI ≤250; and resistant (R), SI >250. Quality control for each assay was conducted as follows: Two measurements of every drug-treated sample were used for controlling the variability of individual ATP values. Samples with coefficient of variation (CV) >0.15 were rejected and retested. For the present study, the mean CV was 0.048 (range, 0.023–0.114).

iTRAQ assay

LC-MS/MS analysis of iTRAQ-labeled peptides was performed using Mascot (version 2.3.0) and Proteome Discoverer Version 1.3 software (Thermo Fisher Scientific, Inc.) and identification of the proteins was conducted by utilizing the raw MS data (21). For quantitative iTRAQ analysis, the peptide was automatically selected by Protein Discoverer with the Pro Group™ algorithm, and the error factor, P-value and the reporter peak area were calculated. If the iTRAQ ratio (sensitive tissues/resistant tissues) was <0.83 or >1.2 (P<0.05), the protein was considered to be differentially expressed (22). Next, Gene Ontology enrichment analysis was conducted to analyze functions of the differentially expressed proteins using Bioconductor 3.0 software (https://www.bioconductor.org), and biological process, molecular function and cellular component were included. For significant enrichment of the protein sets, a false discovery rate of <0.05 was considered as a threshold (23–25).

Statistical analysis

All results are expressed as the mean ± standard deviation. Statistical analysis between groups was performed using SPSS 18.0 software (SPSS, Inc., Chicago, IL, USA), and comparisons were made using an unpaired Student's t-test, χ2 test and one-way analysis of variance (ANOVA). Fishers least significant difference test was performed on ANOVA data in order to determine statistical significance. P<0.05 was considered to indicate a statistically significant difference.

Results

In vitro ATP-TCA

The patients were aged between 20–76 years, with a median age of 51 years. The tumor characteristics of the samples are listed in Table I. Notable heterogeneity in chemosensitivity was observed among the tumor samples examined (Fig. 1A). There was a significant association between clinical indicators of the tumor samples and the ATP-TCA results. The associations between the stage or differentiation grade of the tumor samples and the ATP-TCA results were assessed using χ2 tests. It was demonstrated that specimens with high to mild differentiation or an early stage (I/II) had lower chemosensitivity to paclitaxel when compared with low-differentiated or advanced stage (III) specimens, respectively (Table II). Furthermore, the SIs of different tumor stages and differentiation grades were also significantly different (Fig. 1B and C).

Figure 1. Results of in vitro adenosine triphosphate-tumor chemosensitivity assays. (A) Scatter plots demonstrating heterogeneity of paclitaxel in various tumor samples. Box-and-whisker plots of the SI rank of paclitaxel in specimens with different (B) stages or (C) grades of differentiation. The bottom and top edges of the boxes represent the 25th and 75th percentiles, respectively, whereas the horizontal line corresponds to the median value. The vertical lines show the range of values. *P<0.05 vs. advanced-stage (III) specimens, #P<0.05 vs. low differentiation. SI, sensitivity index.

Table I. Characteristics of tumor samples (n=54).

Table I.

Characteristics of tumor samples (n=54).

Characteristics	N	(%)
Histology
Serous	41	75.9
Mucinous	2	3.7
Clear cell	5	9.3
Endometrioid	4	7.4
Transitional cell	2	3.7
FIGO stage
I	8	14.8
II	7	13.0
III	39	72.2
Grade of differentiation
High	5	9.3
Mild	7	13.0
Low	42	77.8
Primary	48	88.9
Recurrent	6	11.1

[i] FIGO, International Federation of Gynecology and Obstetrics.

Table II. Associations between the adenosine triphosphate-tumor chemosensitivity assay results for paclitaxel resistance and the stage or grade of differentiation of tumor samples.

Table II.

Associations between the adenosine triphosphate-tumor chemosensitivity assay results for paclitaxel resistance and the stage or grade of differentiation of tumor samples.

	FIGO stage			Differentiation
Sensitivity to paclitaxel	I/II	III	P-value	High-mild	Low	P-value
S+WS	8	34	0.021	5	37	0.003
R	7	5		7	5

[i] FIGO, International Federation of Gynecology and Obstetrics; S, sensitive; WS, weak sensitive; R, resistant.

iTRAQ assay

Proteins from paclitaxel-sensitive tissues and paclitaxel-resistant tissues were quantified by LC-MS/MS and iTRAQ analysis. In the present study, a total of 496 significantly differentially-expressed proteins were identified between paclitaxel-sensitive and paclitaxel-resistant tissues. The threshold of the iTRAQ ratio (sensitive tissue/resistant tissue) was <0.83 or >1.2, which implied lower or higher expression of proteins in sensitive tissues compared with resistant tissues. Among them, 233 proteins were upregulated in the paclitaxel-resistant tissues and 263 proteins were downregulated. Certain proteins with important biological functions are listed in Table III. In order to investigate the functions of the differentially expressed proteins, Gene Ontology enrichment analysis was performed to analyze the functions of those proteins. A total of 96 differentially expressed proteins were divided into three categories: ‘Molecular functions’ (92.7%), ‘cellular components’ (87.5%), and ‘biological processes’ (88.5%; Fig. 2).

Figure 2. Gene Ontology enrichment analysis of the differentially expressed proteins.

Table III. Differentially expressed proteins in S tissues compared with R tissues.

Table III.

Differentially expressed proteins in S tissues compared with R tissues.

Serial no.	Protein	Fold-change for S/R
Upregulated in R tissues
P02765	α-2-HS-glycoprotein	0.346
Q9BW30	Tubulin polymerization-promoting protein family member 3	0.359
Q92954	Proteoglycan 4	0.463
P00734	Prothrombin	0.467
P07602	Proactivator polypeptide	0.485
P35080	Profilin-2	0.517
Q9UNP9	Peptidyl-prolyl cis-trans isomerase E	0.524
Q14508	WAP four-disulfide core domain protein 2	0.525
Q6ZU11	Uncharacterized protein C9orf142	0.539
Q9H6Y7	E3 ubiquitin-protein ligase RNF167	0.547
P09758	Tumor-associated calcium signal transducer 2	0.552
P84157	Matrix-remodeling-associated protein 7	0.565
Q9H4G0	Band 4.1-like protein 1	0.567
P08729	Cytokeratin 7, type II cytoskeletal 7	0.580
P42330	Aldo-keto reductase family 1 member C3	0.587
O75882	Attractin	0.592
Q969E4	Transcription elongation factor A protein-like 3	0.595
Q9Y240	C-type lectin domain family 11, member A	0.604
P05783	Cytokeratin 7, type I cytoskeletal 18	0.623
P81605	Dermcidin	0.644
P09455	Retinol-binding protein 1	0.649
Q6UX71	Plexin domain-containing protein 2	0.650
O43175	D-3-phosphoglycerate dehydrogenase	0.651
P55809	Succinyl-CoA:3-ketoacid-coenzyme A transferase 1, mitochondrial	0.653
Q7L2H7	Eukaryotic translation initiation factor 3 subunit M	0.688
Q12805	EGF-containing fibulin-like extracellular matrix protein 1	0.689
Q8TEQ8	GPI ethanolamine phosphate transferase 3	0.691
Q9C0H2	Protein tweety homolog 3	0.695
P00751	Complement factor B	0.698
Q14676	Mediator of DNA damage checkpoint protein 1	0.701
Q9BUH6	Uncharacterized protein C9orf142	0.702
Q9BX66	Sorbin and SH3 domain-containing protein 1	0.702
P02786	Transferrin receptor protein 1	0.706
P01861	Ig γ-4 chain C region	0.706
O15305	Phosphomannomutase 2	0.707
O43752	Syntaxin-6	0.731
Q86SX6	Glutaredoxin-related protein 5	0.732
Q8NFV4	Abhydrolase domain-containing protein 11	0.736
Q14696	LDLR chaperone MESD	0.736
P17931	Galectin-3	0.739
Q8WWF6	DnaJ homolog subfamily B member 3	0.741
Downregulated in R tissues
Q15063	Periostin	2.041
P49913	Cathelicidin antimicrobial peptide	2.064
P41218	Myeloid cell nuclear differentiation antigen	2.111
P01814	Ig heavy chain V–II region OU	2.145
Q9HCF4	Protein ALO17	2.231
P59665	Neutrophil defensin 1	2.232
P05164	Myeloperoxidase	2.246
P20962	Parathymosin	2.283
P61626	Lysozyme C	2.284
A8MW06	Thymosin β-4-like protein 3	2.329
Q9NP78	ATP-binding cassette sub-family B member 9	2.337
P02671	Fibrinogen α chain	2.554
P08311	Cathepsin G	2.763
P02675	Fibrinogen β chain	2.784

[i] S, paclitaxel-sensitive tissues; R, paclitaxel-resistant tissues.

Verification by western blot analysis

To validate the expression of the two selected proteins (Plxdc2 and CK7) identified by iTRAQ in EOC tissues with different chemosensitivities (sensitive, weakly sensitive and resistant), western blotting was performed and normalized densitometry data from the western blotting were used for the determination of relative expression values. Commercially available antibodies were used for probing the proteins, which were extracted from eight individuals with each type of tissues. The results were in concordance with those of the iTRAQ: the protein expression levels of Plxdc2 and CK7 were significantly increased in the paclitaxel-resistant tissues compared with the other two types of tissues (Fig. 3A and B).

Figure 3. Verification of isobaric tags for relative and absolute quantitation by western blotting. (A) Plxdc2 protein expression in the paclitaxel-resistant tissues was significantly upregulated compared with the other types of tissue. (B) Protein expression of cytokeratin 7 in the paclitaxel-resistant tissues was significantly upregulated compared with the other types of tissue. **P<0.01 vs. S, #P<0.05 vs. W. Plxdc2, plexin domain containing 2; S, sensitive; W, weak sensitive; R, resistant.

Discussion

Ovarian cancer is the most lethal gynecologic malignancy in adult women (26). The standard treatment for EOC is surgical resection of the tumor mass, followed by a combination of paclitaxel and platinum. Although paclitaxel is effective as a first-line drug for advanced ovarian cancer, progression of the disease and mortality remain problems that originate from drug resistance. The main cause of paclitaxel resistance is thought to be the heterogeneity of the tumor tissue (27). EOC is biologically and morphologically heterogeneous, and it is possible to divide cases into several subtypes, which are then prescribed different treatments with different clinical outcomes (28). In the present study, an in vitro ATP-TCA, which has been widely used to determine the drug sensitivity of solid tumors, was used to assess heterogeneity in EOC. There was noticeable heterogeneity in chemosensitivity among the EOC samples examined: Highly- to mildly-differentiated or early-stage (I/II) EOC specimens had lower chemosensitivity to paclitaxel when compared with specimens with low differentiation or an advanced-stage (III), respectively. These results were consistent with those of a previous study, and implied that chemotherapy was not effective at preventing the recurrence of early-stage ovarian cancer (29).

In order to further screen the suitable biomarkers for predicting chemosensitivity to paclitaxel in ovarian cancer, the quantitative proteomic technique iTRAQ was performed to analyze the proteins from paclitaxel-resistant and paclitaxel-sensitive tissues. A total of 496 significantly differentially expressed proteins were identified, including 233 proteins which were upregulated and 263 proteins which were downregulated in paclitaxel-resistant tissues compared with paclitaxel-sensitive tissues. Two proteins of interest (Plxdc2 and CK7) were selected from among the upregulated proteins, which may be associated with paclitaxel resistance in EOC. The expression of Plxdc2 and CK7 in EOC tissues with different chemosensitivities (sensitive, weakly sensitive and resistant) was further detected by western blotting. The two proteins were revealed to be upregulated in the EOC tissues with paclitaxel resistance, consistent with the results from the iTRAQ analysis.

Plxdc2 has the ability to alter normal neurogenesis patterns, and is a novel mitogen for neural progenitors, and is present in the developing neural tube (30). Miller et al (31) were interested in Plxdc2 due to its protein architecture and expression pattern, and described the expression pattern of Plxdc2 in the developing mouse embryo. Notable similarities between the Plxdc2 expression multiple Wnt family members (Wnt1, Wnt3a, Wnt5a and Wnt8b) have been identified (32). In addition, Cheng et al (33) revealed that Plxdc2 is a cell-surface receptor for pigment epithelium derived factor (PEDF). PEDF is a secreted factor with multiple biological functions. It was initially considered to be a neurotrophic factor, but its recognized functions later expanded to include a stem cell niche factor, an inhibitor of cancer cell growth and, notably, the most potent natural antiangiogenic factor (34–36). A number of animal models have demonstrated the therapeutic value of PEDF in the treatment of blinding diseases and multiple types of cancer. Even in the presence of strong proangiogenic factors, PEDF is able to inhibit endothelial cell migration and angiogenesis. Furthermore, PEDF is a non-inhibitory member of the serine protease inhibitors (serpin) superfamily, which possesses potent physiological anti-angiogenic functions. PEDF decreases abnormal neovascularization by exerting anti-angiogenic effects which inhibit pro-angiogenic factors, including vascular endothelial growth factor, and this function has been investigated primarily in the eye and in cancer (37). In the present study, Plxdc2 expression was revealed to be upregulated in paclitaxel-resistant EOC tissues. Therefore, elucidating the associations between Plxdc2 and PEDF may lead to an improved understanding of the mechanisms and the development of novel therapeutic strategies for chemoresistant EOC.

CK7 is a simple, ~55 kDa epithelial cytokeratin which is primarily expressed in single-layered simple epithelia (38). Cytokeratins are intermediate cytoskeletal structural proteins present in the epithelial cells of the majority of organs, and are involved in mechanical support. They are also crucial for epithelial function, as cytokeratins are involved in signal transduction, cell polarity and gene regulation (39). They are maintained during carcinogenesis (40,41). CK7 is expressed by a number of ductal and glandular epithelial cells (mainly gallbladder, hepatic ducts, and pancreatic ducts), by female genital tract tissues (ovary, endometrium, fallopian tube, and cervix) and by breast, lung, and urinary tract tissues (42). Chu et al (43) conducted immunohistochemistry to assess CK7 and cytokeratin 20 expression in 435 epithelial malignancy specimens, and 5% stained cells was considered to be positive. Overall, 100% of lung, ovary, uterine and salivary gland cancers were CK7-positive. In addition, CK7 is a low molecular weight cytokeratin and its expression has been used to assess the differentiation of human primary and metastatic tumors of unknown origin (44,45). In the present study, CK7 was revealed to be upregulated in paclitaxel-resistant EOC tissues, which may be involved in tumor metastasis and chemoresistance.

In conclusion, the mechanisms underlying paclitaxel resistance in ovarian cancer remain to be fully elucidated. Although further studies are required for large-scale validation of the candidate biomarkers identified by the present study, to the best of our knowledge the present study is the first to identify these candidate markers for paclitaxel-resistance in EOC. These results improve our understanding of the mechanisms underlying chemotherapy resistance and may help predict responses to targeted therapeutic agents. Furthermore, the identified proteins may aid further studies of the molecular mechanisms underlying paclitaxel treatment and resistance in EOC.

Acknowledgements

The present study was sponsored by the Capital Health Research and Development Projects of China (grant no. 2011-2008-05).

References