Introduction

Oncology Letters

1792-1074 1792-1082

D.A. Spandidos

10.3892/ol.2016.5083

OL-0-0-5083

Articles

Beside P53 and PTEN: Identification of molecular alterations of the RAS/MAPK and PI3K/AKT signaling pathways in high-grade serous ovarian carcinomas to determine potential novel therapeutic targets

Chen

Shuhui

1 2 3 4 * Cavazza

Elisa

1 * Barlier

Catherine

1 Salleron

Julia

5 Filhine-Tresarrieu

Pierre

1 Gavoilles

Céline

6 Merlin

Jean-Louis

1 2 3 Harlé

Alexandre

1 2 3

1Faculty of Pharmacy, Université de Lorraine, 54001 Nancy, France 2CNRS UMR 7039 CRAN, Université de Lorraine, 54506 Vandoeuvre-les-Nancy, France 3Department of Biopathology, Institut de Cancérologie de Lorraine, 54519 Vandoeuvre-les-Nancy, France 4Department of Gynecological Oncology, Zhongnan Hospital, Wuhan University, Wuhan, Hubei 430071, P.R. China 5Department of Data Biostatistics, Institut de Cancérologie de Lorraine, 54519 Vandoeuvre-les-Nancy, France 6Department of Medical Oncology, Institut de Cancérologie de Lorraine, 54519 Vandoeuvre-les-Nancy, France

Correspondence to: Dr Alexandre Harlé, Department of Biopathology, Institut de Cancérologie de Lorraine, 6 Avenue de Bourgogne - CS 30519, 54519 Vandoeuvre-les-Nancy, France, E-mail: a.harle@nancy.unicancer.fr *

Contributed equally

11 2016

02 09 2016

12 5 3264 3272 18042016 01072016

2016

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

Despite great histological and molecular heterogeneity, the clinical management of high-grade ovarian carcinomas remains unspecialized. As a major subgroup, high-grade serous ovarian carcinomas (HGSOCs) require novel therapies. In addition to utilizing conventional histological prognostic markers and performing oncogenetic investigations, the molecular diagnostic method of next generation sequencing (NGS) was performed to identify ‘druggable’ targets that could provide access to innovative therapy. The present study was performed in 45 HGSOC patients (mean age, 59.1 years; range, 25–87 years) with histologically proven HGSOC. Breast cancer 1/2 (BRCA1/2) germline mutations were screened in 17 patients with a familial or personal history of cancer, which was justified by oncogenetic investigations. Tumor protein 53 (P53) and phosphatase and tensin homolog (PTEN) expression were assessed in formalin-fixed paraffin-embedded tissues using immunohistochemistry. Somatic mutations of Kirsten rat sarcoma viral oncogene homolog, neuroblastoma RAS viral oncogene homolog (NRAS), B-Raf proto-oncogene, serine/threonine kinase, phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit α (PIK3CA) and MET proto-oncogene, receptor tyrosine kinase (MET) were screened using NGS on DNA extracts from frozen tumor specimens obtained at diagnosis. With a median follow-up of 38 months (range, 6–93 months), 20 patients are alive, 10 patients are disease-free and 14 patients progressed within 6 months following platinum-based therapy. P53 overexpression was detected in 67% of patients and PTEN loss was detected in 38% of the patients. The overexpression of mutant P53 was found to be associated with a longer progression-free and overall survival. In total, 2 NRAS (exon 3), 3 PIK3CA (exon 5 and 10) and 5 MET mutations (exons 14 and 18) were detected. In HGSOCs, in addition to P53 and PTEN alterations, somatic genetic abnormalities can be detected using NGS and provide molecular rationale for targeted therapies, potentially offering novel therapeutic opportunities to patients.

high-grade serous ovarian carcinoma signaling pathway high resolution melting-polymerase chain reaction immunohistochemistry targeted therapy next generation sequencing

Introduction

Ovarian carcinoma is the seventh most common cancer in women, worldwide, and the leading cause of mortality from gynecological malignancies (1). Despite the development of surgical techniques and the emergence of novel chemotherapy agents, the 5-year overall survival rate remains poor at ~30% (2). High-grade serous ovarian carcinoma (HGSOC) is a dominant subgroup of ovarian carcinomas with rapid evolution, late diagnosis and an extremely poor prognosis; these factors justify the requirement for novel therapeutic strategies (3). Numerous genetic alteration events are involved in the molecular mechanisms that underlie cancer development, progression and metastasis. Understanding and elucidating these genetic aberrations in HGSOCs could provide innovative therapeutic options with novel targeted agents.

Tumor protein 53 (P53) alterations are frequently detected in HGSOCs and are associated with high tumor cell proliferation (3). With the exception of its potential as a prognostic marker, P53 alterations could serve as a theranostic biomarker in HGSOC. For example, one study reported the destabilization and degradation of mutant P53 by the histone deacetylase (HDAC) 6 inhibitor, vorinostat (4), leading to antitumor activity. In addition, tumor angiogenesis could be inhibited through the downregulation of vascular endothelial growth factor (VEGF), induced by HDAC-mediated hypoxia inducible factor inhibition (5). Therefore, synergistic antitumor activity has been reported with combined inhibition of VEGF and HDAC. HDAC may be induced by pazopanib and vorinostat, which demonstrates better antitumor activity with a significantly longer progression-free survival (PFS) and overall survival (OS) in patients bearing mutant P53 solid tumors, including ovarian cancers, compared with in P53 wild-type tumors (6). Stratifying HGSOC patients on P53 alteration status has, therefore, been proposed as a molecular rationale for the addition of vorinostat to anti-VEGF maintenance therapy, and may maximize the clinical benefits that limit the significant toxicities associated with the use of cytotoxic chemotherapy (7).

RAS/mitogen-activated protein kinase (MAPK) and phosphatidylinositol-4,5-bisphosphate 3-kinase (PI3K)/protein kinase B (AKT) and are two major intracellular signaling transduction pathways that can be activated due to: A loss of phosphatase and tensin homolog (PTEN) function; genetic mutations in phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit α (PIK3CA), Kirsten rat sarcoma viral oncogene homolog (KRAS), neuroblastoma RAS viral oncogene homolog (NRAS) or B-Raf proto-oncogene, serine/threonine kinase (BRAF) (8); or the activation of mutations in MET proto-oncogene, receptor tyrosine kinase (MET) receptors (9) that are involved in the carcinogenesis of HGSOC. These genetic abnormalities are associated with a decreased responsiveness to conventional chemotherapy and a poor prognosis (10–12).

The PI3K/AKT pathway is activated in ~70% of ovarian carcinomas, and activation of this pathway is associated with increased invasive and migratory capacities of tumor cells and resistance to cytotoxic chemotherapy (13).

PTEN is a major negative regulator of the PI3K signaling pathway and PTEN loss has been reported as a common driver event and prognostic classifier in HGSOC (14). One previous study showed that immunohistochemistry (IHC) is preferable for identifying a loss of PTEN function (15). However, the association between loss of PTEN and patient outcome remains controversial (14,16).

Although RAS mutations have been considered the major molecular feature of low-grade ovarian cancer, NRAS, a member of the RAS family, was found to be an oncogenic driver in HGSOC, which indicates a degree of overlap across the molecular profiles of low- and high-grade ovarian carcinomas (17).

The pathological activation of MET through MET gene mutation is well characterized as a driver in oncogenesis (9) and has been reported to promote tumor proliferation, invasive growth and angiogenesis, which are widely observed in HGSOC (8,18). In addition, MET activation can promote angiogenesis by activating common signaling pathways such as PI3K/AKT and RAS/MAPK, and the hypoxic environment induced by anti-angiogenic agents has been shown to potentially promote the MET-dependent spreading of cancer cells (19). This finding suggests that the selective targeting of one pathway may induce the compensatory upregulation of another. This may explain that in clinical trials evaluating bevacizumab in ovarian carcinoma, no significant increase of overall survival was observed (20,21), and that the dual inhibition of MET/vascular endothelial growth factor receptor 2 in MET-mutated papillary renal carcinoma (22) demonstrated clinical benefit, as observed in ovarian cancer models (23).

In the present study, in addition to the analysis of oncogenic alterations of P53 and PTEN expression, KRAS, NRAS, BRAF, PIK3CA and MET mutations were screened as putative sources of RAS/MAPK and PI3K/AKT signaling pathways activators. The association of these alterations with the clinical outcome of patients with HGSOC was then evaluated.

Patients and methods <sec> <title>Patients

Patients treated between January 2007 and December 2012 in Cancer Institute of Lorraine (Vandoeuvre-les-Nancy, France) with a proven diagnosis of HGSOC were selected. In all cases, the final diagnosis was established according to the International Federation of Gynecology and Obstetrics (FIGO) (24) and World Health Organization (25,26) criteria. All women received cytoreductive surgery and a platinum-based chemotherapy and were followed-up in the same institution. Tumor samples were obtained prior to chemotherapy. The present study was approved by the Scientific Committee of the Cancer Institute of Lorraine and all the patients provided formal consent for the study.

Tumor samples

Formalin-fixed paraffin-embedded (FFPE) specimens were used for IHC. Hematoxylin-eosin (H&E) staining was performed on 5-µm sections and the tissue was validated by a senior pathologist (Dr C. Barlier, Cancer Institute of Lorraine). Only specimens with >20% tumor cells were used in the study.

Frozen tumor fragments were used for mutation analysis. Cryosections (5-µm) were immediately fixed in alcohol, formalin and acetic acid, prior to being H&E-stained and validated by a senior pathologist to ensure the tumor cell content. Unfixed frozen macrodissected regions with >20% tumor cells were then used for DNA extraction using the QIAmp DNA mini kit (Qiagen GmbH, Hilden, Germany). Extracted DNA was then purified and DNA concentration was measured by NanoVue (GE Healthcare Life Sciences, Chalfont, UK) and finally stored at −80°C until processed for polymerase chain reaction (PCR) and next generation sequencing (NGS).

IHC

Tissue sections (5-µm) were cut from each block and deposited on an IHC-specific slide with a drop of distilled water, prior to being dried on a hot plate and placed overnight in a stove at 56°C. The sections were deparaffinized and rehydrated using EZ Prep solution (Ventana Medical Systems, Inc., Tucson, AZ, USA) and then restored with Cell Conditioner 1 (Ventana Medical Systems, Inc.) for protein confirmation. Primary mouse anti-human PTEN antibody (dilution, 1:125; catalog no., 9188; clone D4.3; Dako, Glostrup, Denmark) was incubated for 1 h at room temperature and primary mouse anti-human P53 antibody (dilution, 1:50; catalog no., M7001; clone DO-7; Dako) was incubated for 32 min at 42°C. The procedure was performed in a BenchMark Ultra^® with UltraView Universal DAB Detection kit (Ventana Medical Systems, Inc.) and the sections were lightly counterstained with hematoxylin and bluing reagent (Ventana Medical Systems, Inc.). The IHC results were recorded as follows: Cytoplasmic staining of PTEN was considered as positive; nuclear staining of P53 was considered as positive. The interpretation of staining was blinded from the clinical outcome data.

Mutation analysis by high resolution melting-PCR (HRM-PCR) and NGS

PCR assays were performed to screen somatic mutations in KRAS and NRAS at exons 2, 3 and 4, BRAF at exon 15, and PIK3CA at exons 10 and 21. PCR fragments were stained with Resolight^® DNA fluorescent intercalant probe (Roche Diagnostics, Meylan, France) and then amplified using LightCycler^® 480 High Resolution Melting Master kit (Roche Diagnostics) in a LightCycler^® 480 thermocycler (Roche Diagnostics) for 35 cycles under the following conditions: 95°C for 10 sec; 65°C for 15 sec; and 72°C for 30 sec.

Appropriate positive and negative controls were included for each of the exons evaluated. The cell lines used as positive controls were: Lovo, Calu6 and ML2 for KRAS, exons 2, 3 and 4); Molt 4, MZ2 and Nalm6 for NRAS, exons 2, 3 and 4; HT29 for BRAF, exon 15; and MCF7 and HCT116 for PIK3CA, exons 10 and 21. The cell lines used as negative controls were: WIDR for KRAS and NRAS, exons 2, 3 and 4; Lovo for BRAF, exon 15; and MDA-MB231 for PIK3CA, exons 10 and 21.

NGS was performed using ultra-deep biparallel pyrosequencing (GS Junior; Roche Diagnostics) to confirm and identify the somatic alterations detected by HRM-PCR and to further investigate PIK3CA, exon 5, and MET, exons 14, 16, 17, 18 and 19. Firstly, for the library preparation, sequences of interest were amplified by TAG-PCR and MID-PCR using FastStart High Fidelity PCR System, dNTPack kit (Roche Diagnostics). The procedure was performed using Nexus Mastercycler^® (Eppendorf AG, Hamburg, Germany). The PCR products were then controlled by 2% agarose gel electrophoresis and quantitated using the Quant-iT™ PicoGreen dsDNA Assay kit (Thermo Fisher Scientific, Inc., Waltham, MA, USA). DNA concentration was finally adjusted to 10⁶ DNA molecules/µl. Secondly, the prepared library was amplified by emulsion-PCR using the GS Junior Titanium emPCR kit (Roche Diagnostics) and enriched with the emPCR Bead Recovery Reagents kit (Roche Diagnostics) prior to sequencing with the GS Junior Titanium Sequencing kit (Roche Diagnostics). Data were treated with Amplicon Variant Analyzer software, version 3.0 (454 Life Sciences; Roche Diagnostics, Branford, CT, USA). Sequences were aligned with the NM_002524.4, NM_006218.2 and NM_000245.2 nucleotides for references for NRAS, PIK3CA and MET sequences, respectively, and variant calling was processed. At ×1,000 depth, NGS sensitivity was 1%. A second data analysis using Burrows-Wheeler Aligner 0.7.12 (maximal exact match algorithm; default parameters; distributed under GPLv3) for mapping and sorting and indexing using SAMtools (SAMtools; GitHub, Inc., San Francisco, CA, USA) was performed. VarScan2 (mpileup2snp algorithm; filters-min-coverage 100-minreads 20-min-var-freq 0.01-P-value 0.05) was used for variant calling, as reported previously (27).

Statistics

Quantitative variables were described with the mean, standard deviation and range; qualitative variables by frequency and percentage.

The association between P53 expression, PTEN loss of expression, KRAS, NRAS, PIK3CA, MET mutations and patient age, FIGO stage, chemosensitivity to platinum drugs (defined as lack of tumor progression at 6 months) was analyzed using Chi-squared test or Fisher's exact test. The progression-free survival (PFS) was defined as the time interval between the termination of frontline therapy and the first recurrence either by radiological findings or a rising of CA-125 level by two serial tests ≥1 month apart. Patients alive and free of recurrence were censored at the last follow-up. The overall survival (OS) was defined as the time interval between termination of frontline therapy and fatality (all causes). All causes of fatality were counted as failures. The PFS and OS curves, according to the expression status of P53 and PTEN and the mutational status, were established using logistic regression.

The PFS and OS were described with the Kaplan Meier method. Results are described with cumulative incidence and 95% confidence interval.

For each outcome, prognostic factors were tested with the Cox proportional hazard model in univariate analysis. Parameters with a P-value of <0.1 were introduced in a multivariate Cox proportional hazard model with stepwise selection (with a significance level for entering effects at 0.1 and for removing effects at 0.05).

All statistical analyses were performed using SAS version 9.3 (SAS, Cary, NC, USA). The significance level was set at 0.05.

Results <sec> <title>Patient characteristics

In total, 45 patients were included in the present study. The characteristics of the patient population are summarized in Table I. Seven BRCA germline mutations (5 with a BRCA1 mutation, 2 with a BRCA2 mutation) were identified in 17 patients that underwent oncogenetic tests due to a familial and/or personal history of ovarian or breast carcinoma. Successful primary treatment was achieved in all patients through a combination of surgery and 5–8 cycles of platinum-based chemotherapy.

IHC

P53 overexpression was observed in 30/45 tumors (67%) and PTEN loss of expression was observed in 15/39 tumors (38%) (Fig. 1). In addition, 6 cases with negative stromal cell staining for PTEN were considered to be a result of unsuccessful IHC reactions and were excluded from the statistical analysis.

The overexpression of P53 was found to be associated with sensitivity to platinum-based chemotherapy (P=0.039) (Table II). No other clinicopathological feature was associated with P53 status. No clinicopathological feature was associated with PTEN status.

Mutation analysis

HRM-PCR assay was performed on the tumor DNA extracts from 50 tumors. Out of these 50 samples, 2 cases were found to bear the NRAS, exon 3, mutation, a no samples possessed KRAS, BRAF or PIK3CA mutations (Table III).

Using NGS, all the mutations found by PCR were confirmed. In addition, 3 mutations of PIK3CA (2 in exon 10 and 1 in exon 5) and 5 mutations of MET (4 in exon 14 and 1 in exon 18) were detected (Table III).

The group of patients harboring one of these mutations showed no survival differences compared with the patients without any of these mutations.

Clinical outcome

The median follow-up time was 38 months (range, 6–93 months). Out of the 45 patients, 35 patients showed disease progression and 25 patients succumbed during the follow-up. The 2-year PFS rate was 28% (range, 16–42%) and 5-year OS rate was 37% (range, 21–53%).

In the univariate analysis, residual disease was significantly identified as predictive factor for a shorter PFS [hazard ratio (HR), 2.134; 95% confidence interval (CI), 1.080–4.214] and P53 overexpression was found to predict a longer PFS (HR, 0.440; 95% CI, 0.216–0.894) (Table IVA). There was a trend for a longer PFS among patients belonging to the subgroup with a personal history of breast cancer (HR, 0.319; 95% CI, 0.097–1.045) or BRCA germline mutations (HR, 0.321; 95% CI, 0.098–1.054). In the multivariate analysis, P53 overexpression remained significantly associated with a longer PFS (HR, 0.351; 95% CI, 0.167–0.739) (Table IVA).

In the univariate analysis, no significant predictive factor of OS was identified (Table IVB), although a trend for longer OS time was observed (HR, 0.450; 95% CI, 0.195–1.041) in patients with tumors demonstrating P53 overexpression. In the multivariate Cox proportional hazard model regression analysis, P53 overexpression (HR, 0.269; 95% CI, 0.102–0.708) and a personal history of breast cancer (HR, 0.168; 95% CI, 0.035–0.809) were identified as predictive factors of a longer OS (Table IVB).

Discussion

The median PFS and OS times of the cohort examined in the present study are consistent with previous studies (28).

Considering the IHC of P53, the antibody used in the present study is able to recognize wild-type and non-null mutant P53 (29). When assessed by IHC, non-null mutant P53 often exhibits an intense nuclear staining in a high percentage of tumor cells, whereas wild-type P53 exhibits a moderate nuclear staining in a small percentage of tumor cells. Null-mutant P53 is truncated and unstable, and does not produce nuclear staining (30). In the present study, all P53-positive tumors exhibited diffuse and intense P53 nuclear staining, which may present the non-null mutant P53 group; by contrast, the P53-negative tumors showed a complete absence of nuclear staining, which may present a null-mutant P53 group (31). This may reflect that P53 alterations occur in almost all HGSOCs, presented as null or non-null mutant P53 (10).

P53 overexpression was observed in 30/45 (67%) tumors, while the complete absence of P53 expression was observed in 15/45 (33%) tumors, which is similar to a previous study (32).

The association between the overexpression of P53 and the patient outcome remains controversial, which could be due to the various tumor populations explored, differing methodologies of detection and interpretation of P53 alterations (33). The present study found that P53 overexpression was associated with a longer PFS and longer OS compared with the group with a complete absence of P53 expression, which is consistent with a broad-scale study (32). Although this finding can be explained by the fact that null-mutant P53 is often truncated and has no wild-type P53 function, while non-null P53 retains part of the wild-type P53 function (31), the full the mechanism underlying this difference in outcome is uncertain and requires further investigation.

Association between loss of PTEN and HGSOC patient outcome remains controversial (14,16). In the present study, PTEN loss was observed in 38% of tumors, which is similar to a previous study (16). A recent study that evaluated PTEN expression in HGSOC reported an association between loss of PTEN expression and a longer PFS (16). However, other studies suggest that the association of PTEN loss and better prognosis may be partially explained by defected homologous recombination DNA repair function that could be caused by PTEN deficiency (34). This homologous recombination defect could sensitize tumor cells to anticancer drugs, such as platinum or poly ADP ribose polymerase inhibitors (35), similarly to the observations of BRCA-deficient tumors. In the present study, the lack of association of PTEN loss with PFS or OS may be due to the small sample size.

The rate of MET mutations (11%) observed in the current study is consistent with a previous study (36), and also confirms the juxtamembrane exon 14 mutations, c.2962C>T p.Arg988Cys and c.3029C>T p.Thr1010Ile. These mutations have been reported to induce the constitutive activation of MET in lung cancer cells (37) but were also described as single nucleotide polymorphisms (rs34589476 and rs56391007, respectively) in the ClinVar database (National Institutes of Health, Bethesda, MA, USA). The c.3029C>T p.Thr1010Ile variation has also been associated with ethnic polymorphism in people with Italian heritage, which was the case in one of the patients in the present study, with a mutated allele frequency of 45.0%. In addition, in other studies, these mutations did not enhance any transforming capacity (38), and did not exhibit oncodriver activity but could sensitize tumor cells to MET inhibitors (39). This suggests that these mutational activations of MET could be either an oncogene addiction as an oncodriver in certain cancers or an oncogene expedience as a second event that aggravates the malignant properties of already transformed cells in others (40). In addition, the present study identified a novel mutation in the tyrosine kinase domain (c.3619G>A p.Ala1207Thr on exon 18), for which the association with disease progression and response to therapy remains to be elucidated. The impact of these MET nucleotide variations in the biological or clinical behavior of HGSC requires additional elucidation, as MET inhibition is of great interest for use as a novel therapeutic target, and numerous MET inhibitors are currently under investigation in other types of cancer (40).

Large-scale study showed that the mutation of PIK3CA is usually observed in endometrioid carcinomas (10). In the present study, 2 PIK3CA mutations were detected in 3 patients (7%) with 1 mutation newly identified (c.1037T>A p.Leu346Gln) and requiring further investigation into its impact on protein function and tumor behavior. This mutation frequency is consistent with another study that performed a small sample size analysis on 2 types of ovarian cancers (41). In the present study, PTEN loss was detected in 1/3 of tumors with PIK3CA mutations. This frequency was previously reported in a study whereby PIK3CA mutation associated with PTEN loss was sufficient to initiate ovarian tumors in animal models (42). In addition, tumors with PTEN loss were reported to regress when exposed to drugs targeting the PI3K pathway (43). Since >1/3 of the HGSOC samples presented with a loss of PTEN expression, PTEN loss could be a predictive marker of PI3K pathway activation and the response of PI3K pathway inhibitors such as NVP-BYL719 (44). Numerous clinical trials (NCT00877773, NCT01219699, NCT01449058, NCT 01501604, NCT01708161, NCT01928459, NCT02439489, NCT02449538 and NCT02449564) of PI3K pathway inhibitors are ongoing in selected patients with tumors harboring PIK3CA mutations or PTEN loss, including HGSOC patients.

Although the RAS/MAPK pathway was considered to be mostly altered in type I ovarian carcinoma (3), the present study has shown that HGSOC could share a similar molecular profile. The NRAS mutation (c.181C>A p.Gln61Lys) identified in 2 patients in the present study had already been reported as an oncogene driver in HGSOC (17). Furthermore, no KRAS or BRAF mutations were found in the present study. This finding confirmed the less frequent dysregulation of the RAS/RAF pathway and the potential interest of NRAS as a biological marker for selecting patients that may benefit from targeted therapy (44). Since the emerging targeted therapy showed antitumor activity in NRAS-mutated cancer (45), the role of NRAS mutations in HGSOC warrants further investigation.

HGSOCs are a group of heterogeneous malignancies that are associated with P53 alteration, PTEN loss and alterations of the PI3K/AKT and RAS/MAPK signaling pathways. Routine therapies have almost reached the efficacy limit and novel therapeutic strategies are urgently required. Mutations in P53 and the loss of PTEN expression are frequent events in HGSOCs. The present study showed that these events are associated with patient outcome; thus, mutations in P53 and the loss of PTEN expression may serve as predictive markers for stratifying patients for appropriate therapy. The observed alterations in the PI3K/AKT and RAS/MAPK pathways elucidate the potential for the clinical application of targeted and personalized therapy, as has been used for other type of cancer.

Acknowledgements

Dr ShuHui Chen is supported by the China Scholarship Council (grant no. 201208420600; Wuhan, China).

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Figure 1.

P53 and PTEN expression analysis using immunohistochemistry (magnification, ×20). (A) Positive P53 expression: Diffuse and intense nuclear staining. (B) Negative P53 expression: Complete absence of nuclear staining. (C) Positive PTEN expression: The intensity of cytoplasmic PTEN expression in tumor cells is comparable with that of the stromal cells that acted as an internal positive control. (D) PTEN loss of expression: Complete absence of cytoplasmic expression in tumor cells. P53, tumor protein 53; PTEN, phosphatase and tensin homolog

Table I.

Clinicopathological characteristics of the patient population.

Cohort	No. of patients (%)
Total	45
Age, years
Mean (SD)	59.1 (12.1)
Range	25–87
Familial history
Yes	19 (42)
No	26 (58)
Personal history
Yes	7 (16)
No	38 (84)
Oncogenetic counsultation
Yes	17 (38)
No	28 (62)
BRCA mutation (n=17)
No mutation	10 (59)
BRCA 1+	5 (29)
BRCA 2+	2 (12)
Tumor stage
I–II	5 (11)
III–IV	40 (89)
Surgery modality
Primary cytoreductive	36 (80)
Neoadujuvant chemotherapy	9 (20)
Surgical outcome
Completed	21 (47)
Not competed	24 (53)
Adjuvant chemotherapy regimen
Single agent platinum	8 (18)
Platinum/taxane doublet	31 (69)
Bevacizumab included	6 (13)
Response to platinum-based chemotherapy
Sensitive^a	31 (69)
Resistant^b	14 (31)

Interval between last course of platinum-based chemotherapy and disease progression >6 months.

Interval between last course of platinum-based chemotherapy and disease progression <6 months. PFS, progression-free survival; OS, overall survival; SD, standard deviation.

Table II.

Association between P53 and PTEN^a protein expression and the clinicopathological features.

	P53⁺	P53⁻	P-value	PTEN⁺	PTEN⁻	P-value
Expression, n (%)	30 (67)	15 (33)		24 (62)	15 (38)
Age, n (%)			0.546			0.525
<59	17 (57)	7 (47)		14 (58)	7 (47)
>59	13 (43)	8 (53)		10 (42)	8 (53)
FIGO stage, n (%)			1.000			1.000
I–II	3 (10)	2 (13)		3 (13)	1 (7)
III–IV	27 (90)	13 (87)		21 (87)	14 (93)
Response to platinum-based chemotherapy, n (%)			0.039			1.000
Sensitive	24 (80)	7 (47)		15 (63)	10 (67)
Resistant	6 (20)	8 (53)		9 (37)	5 (33)

39 tumors were available for PTEN expression interpretation. P53, tumor protein 53; PTEN, phosphatase and tensin homolog; FIGO, International Federation of Gynecology and Obstetrics.

Table III.

Mutation analysis.

		HRM-PCR		NGS

Gene	Chromosome	Exon	No. of cases	Exon	c.	p.	No. of cases	Mutated allele frequency, %	Clinical significance^d
NRAS^a	1	3	2	3	181C>A	Gln61Lys	2	24.7/24.1	Pathogenic
PIK3CA^b	3			5	1037T>A	Leu346Gln	1	60.3	Newly identified mutation
				10	1571G>A	Arg524Lys	2	17.1/5.0	Missense mutation, uncertain
MET^c	7			14	2962C>T	Arg988Cys	1	65.3	Missense mutation uncertain
					3029C>T	Thr1010Ile	3	45.1/82.8/58.7	Missense mutation, uncertain
				18	3619G>A	Ala1207Thr	1	32.9	Newly identified mutation

Based on the 100% negative results of PCR, only the sample of 24 patients in the 45 analyzed by PCR, and the last 3 patients directly analzsed by NGS.

PIK3CA exon 5 only analyzed using NGS.

MET only analyzed using NGS.

Database ‘ensembl’ (http://www.ensembl.org/index.html). HRM-PCR, high resolution melting-polymerase chain reaction; NGS, next generation sequencing; NRAS, neuroblastoma RAS viral oncogene homolog; PIK3CA, phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit α; MET, MET proto-oncogene, receptor tyrosine kinase; c., nucleotidic change; p., proteic change.

Table IV.

Prognostic factors of (A) progression-free survival and (B) overall survival.

A, Progression-free survival

	Univariate analysis		Multivariate analysis

Variable	HR and 95% CI	P-value	HR and 95% CI	P-value
Age, years		0.1888
<59	1
>59	1.564 (0.803–3.045)
Family history^a		0.9632
No	1
Yes	0.984 (0.499–1.942)
Personal history^b		0.0592		0.0286
No	1		1
Yes	0.319 (0.097–1.045)		0.261 (0.078–0.869)
BRCA mutations^c		0.0610
No	1
Yes	0.321 (0.098–1.054)
Stage		0.2443
I+II	1
III+IV	2.030 (0.616–6.687)
Surgery modality		0.1014
Upfront surgery	1
Interval surgery	1.962 (0.876–4.395)
Residual disease		0.0029		0.0346
Complete	1		1
Non-complete	2.134 (1.080–4.214)		2.127 (1.056–4.286)
Bevacizumab-containing chemotherapy		0.8372
No	1
Yes	1.105 (0.426–2.870)
P53 overexpression		0.0233		0.0058
No	1		1
Yes	0.440 (0.216–0.894)		0.351 (0.167–0.739)
PTEN loss		0.7452
No	1
Yes	0.886 (0.426–1.841)
Mutation status^d		0.5259
No	1
Yes	0.763 (0.331–1.758)

B, Overall survival

Age, years		0.2974
<59	1
>59	1.524 (0.690–3.369)
Family history^a		0.7463
No	1
Yes	0.876 (0.393–1.954)
Personal history^a		0.1043		0.0261
No	1		1
Yes	0.299 (0.069–1.284)		0.168 (0.035–0.809)
BRCA mutations^c		0.1002
No	1
Yes	0.186 (0.025–1.382)
Stage		0.1804
I+II	1
III+IV	3.933 (0.530–29.158)
Surgery modality		0.5155
Upfront surgery	1
Interval surgery	1.440 (0.480–4.318)
Residual disease		0.0961
Complete	1
Non-complete	1.983 (0.885–4.442)
Bevacizumab-containing chemotherapy		0.6308
No	1
Yes	0.739 (0.216–2.533)
P53 overexpression		0.0619		0.0078
No	1		1
Yes	0.450 (0.195–1.041)		0.269 (0.102–0.708)
PTEN loss		0.9501
No	1
Yes	1.027 (0.442–2.388)
Mutation status^d		0.9655
No	1
Yes	1.022 (0.381–2.741)

Family history of ovarian and/or breast cancer.

Personal history of breast cancer.

Mutations in BRCA1/2.

Any mutation found in neuroblastoma RAS viral oncogene homolog, phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit α or MET proto-oncogene, receptor tyrosine kinase. HR, hazard ratio; CI, confidence interval; BRCA, breast cancer; P53, tumor protein 53; PTEN, phosphatase and tensin homolog.