Skip to main content
Journal of Cellular and Molecular Medicine logoLink to Journal of Cellular and Molecular Medicine
. 2016 Jan 22;20(4):581–593. doi: 10.1111/jcmm.12771

Genetic and epigenetic heterogeneity of epithelial ovarian cancer and the clinical implications for molecular targeted therapy

Huimin Bai 1,2,, Dongyan Cao 2,, Jiaxin Yang 2, Menghui Li 1, Zhenyu Zhang 1,, Keng Shen 2,
PMCID: PMC5125785  PMID: 26800494

Abstract

Epithelial ovarian cancer (EOC) is the most lethal gynaecological malignancy, and tumoural heterogeneity (TH) has been blamed for treatment failure. The genomic and epigenomic atlas of EOC varies significantly with tumour histotype, grade, stage, sensitivity to chemotherapy and prognosis. Rapidly accumulating knowledge about the genetic and epigenetic events that control TH in EOC has facilitated the development of molecular‐targeted therapy. Poly (ADP‐ribose) polymerase (PARP) inhibitors, designed to target homologous recombination, are poised to change how breast cancer susceptibility gene (BRCA)‐related ovarian cancer is treated. Epigenetic treatment regimens being tested in clinical or preclinical studies could provide promising novel treatment approaches and hope for improving patient survival.

Keywords: epithelial ovarian cancer, EOC, tumoural heterogeneity, TH, genetic and epigenetic alterations, molecular targeted treatment

Introduction

Human epithelial ovarian cancer (EOC) is the most common cause of death from gynaecological malignancy 1. The standard treatment for EOC involves cytoreductive surgery followed by chemotherapy consisting of platinum and taxol. For high‐grade serous ovarian cancer (HGSOC), the most prevalent and aggressive form of EOC, relapse is nearly the norm due because of the development of resistance, although approximately 80% of patients initially respond to treatment 2. Tumoural heterogeneity (TH) has been blamed for this treatment failure 3. Gerlinger and Swanton 4 reported that genetic TH fosters the development of cancer drug resistance through Darwinian evolution, which points to a promising therapeutic target for preventing the evolution of more aggressive or resistant clones.

With the advent of next‐generation sequencing in recent years, EOC has been found to consist of a complex set of diseases. Diverse genetic or epigenetic alterations that are of fundamental importance in tumorigenesis and progression have been identified in heterogeneous subsets of patients 5. For example, breast cancer susceptibility gene (BRCA) mutations are most commonly associated with HGSOC 6. Determining the molecular events that control this tumour trait might advance our understanding of tumorigenesis and facilitate individualized treatment strategies for this lethal disease.

Molecular portraits underlying TH of EOC

Underlying the hallmarks of cancers is genome instability, which can generate genetic diversity 7. Genetic alterations can potentially upset the balance between proto‐oncogenes and tumour suppressor genes, leading to tumorigenesis. The existence of extensive cytogenetic, genetic and epigenetic variations has been reported in EOC cell populations.

Numerical or structural chromosomal abnormalities are frequently observed in almost all human tumours 7. Rearrangement of 19q has been identified in 61.6% of patients with ovarian cancer; such rearrangements have been significantly correlated with high‐grade tumours, predicting shorter disease‐free survival and worse overall survival (OS) 8 (Table 1). Underrepresentation of 11p and 13q and overrepresentation of 8q and 7p have been significantly correlated with undifferentiated ovarian carcinomas 9. Underrepresentation of 12p and overrepresentation of 18p are frequently identified in well‐ and moderately differentiated ovarian tumours. Patients showing loss of D6S1581 are more likely to be resistant to platinum‐based chemotherapy 10. Gains of 14q32.33 have been associated with platinum resistance and reduced progression‐free survival (PFS) and OS for patients with EOC 11. Tumours exhibiting gain of 2p22‐p25, 19p12‐q13.1, and 20q12‐q13 and loss of 5q14‐q22 present a high risk of recurrence. The OS of patients is inversely correlated with the number of chromosomal alterations found in their tumours 12. Gains at 5p are adversely associated with tumour recurrence 13, and gains at 1p and losses at 5q are associated with a significant decrease in recurrence. Loss at 6q24.2‐26 is independently associated with a cluster of patients with HGSOC showing longer survival 14.

Table 1.

Cytogenetic and genetic tumour heterogeneity in EOC

Molecular events Heterogeneous clinicopathological characteristics
Histology Grade Response to CT Relapse risk Survival
Chromosomal abnormalities
Rearrangement of 19q 8 HGSOC High Adverse
Underrepresentation of 11p and 13q; overrepresentation of 8q and 7p 9 High
12p underrepresentation and 18p overrepresentation 9 Low
Loss of D6S1581 10 Resistant
Gains of 14q32.33 11 Resistant High Adverse
Gains of 2p22p25, 19p12q13.1 and 20q12q13 and loss of 5q14q22 12 High Adverse
Gain in 5p 13 High
Gain in 1p and loss in 5q 13 Low
Loss at 6q24.2‐26 14 Favourable
Gene copy number variation
Gains of FGF3/4 and CCNE1 18 Serous
KRAS amplification 17 HGSOC, rare in mucinous tumour
Gain of JUNB, KRAS2, MYCN, ESR and CCND2 18; TPM3 amplification 17 Endometrioid
ERBB2 amplification 17 Mucinous
Amplification of FGFR1 and MDM2; gain of PIK3CA 18 Borderline
PIK3CA amplification 20 Sensitive
CCNE1amplification 20, 21; Akt/AKT1 overexpression 23 Resistant
AKT2 amplification High 22 Resistant 23 Adverse 22
Amplification of KLK6 24, EGFR 25, LMX1B 26, BMP8B, and ATP13A4 27 High Adverse
GAB2 amplification 27 Sensitive Low Favourable
Somatic gene mutation
TP53 15, 20, 28; FAT3, CSND3, NF1, CDK12, RB1, and GABRA6 15 HGSOC
BRCA1/2 HGSOC 6 Sensitive 39, 40 Favourable 39, 40
Reversions of germline BRCA1 or BRCA2 mutations or loss of BRCA1 promoter methylation 20, 41, 42 Resistant Adverse
BRAF Not mucinous 34; Serous Borderline tumours 33
KRAS 17, 34 Mucinous High
PTEN loss 35; PIK3CA mutation with gain of function 36 Endometrioid and clear cell carcinoma
LRP1B deletion 38 HGSOC Resistant

CT: chemotherapy; HGSOC: high‐grade serous ovarion cancer; EOC: epithelial ovarian cancer.

Gene copy number variations generally result in the abnormal expression of genes that are located within rearranged chromosomal regions. Nonrandom gains and deletions of DNA copy numbers and imbalances of alleles are frequently identified in ovarian tumours 15, 16. Somatic copy number amplification is highly prevalent in high‐grade ovarian cancer, whereas somatic mutational activation of oncogenes is a rare event, suggesting that the former is a common mechanism 17 of oncogene activation in this tumour type 15. In addition, variations in gene copy number are specific to tumour histotypes, among which serous is the most prevalent, followed by endometrioid, clear cell and mucinous 17. Mayr et al. 18 demonstrated that gains of FGF3/4 and CCNE1 occur in all serous carcinomas. Endometrioid carcinomas most frequently show gains of JUNB, KRAS2, MYCN, ESR and CCND2. Among serous borderline tumours, 80% exhibit amplification of FGFR1 and MDM2, and 75% show gains of PIK3CA (Table 1). By applying an in silico hypothesis‐driven approach to multiple datasets, Huang et al. 17 found 76 cancer genes to be significantly altered in EOC, several of which may be potential copy number drivers, such as ERBB2 in mucinous tumours and TPM3 in endometrioid histotypes. In addition, KRAS was observed to be significantly amplified in serous tumours, although mutations are rare in such high‐grade tumours. Copy number variations can also predict a patient's prognosis and response to treatment. Patients showing PIK3CA amplification generally respond well to treatment 19. In contrast, amplification of 19q12 involving CCNE1 is the dominant structural variant associated with primary treatment failure of patients with HGSOC 20, 21. Amplification of AKT2 is frequently identified in undifferentiated tumours and predicts a poor prognosis22. Ovarian cancer cells that either constitutively overexpress active Akt/AKT1 or exhibit AKT2 gene amplification are highly resistant to paclitaxel compared with cells with low AKT levels 23. Overexpression of KLK6 24, EGFR 25, LMX1B 26, BMP8B and ATP13A4 27, because of gene amplification or high copy number gains, is associated with worse PFS and OS in patients with ovarian cancer. In contrast, an increased copy number of GAB2 is associated with improved PFS and OS and correlates with enhanced sensitivity to the dual PI3K/mTOR inhibitor PF‐04691502 in vitro 27.

TP53 mutations are almost invariably present in HGSOC 15, 18, 20 (Table 1). The early loss of P53 function observed in sporadic cancers could create a permissive environment for the loss of BRCA1 or BRCA2 function (or other phenotypes of DNA repair deficiency), which would otherwise lead to apoptosis because of checkpoint activation 29. Inactivation of BRCA1 and/or BRCA 2 is detected in 67% of patients with HGSOC, which is markedly higher than in the other histotypes of EOC 6. However, only 7–9% of sporadic ovarian cancers exhibit BRCA1 30 mutations leading to inactivation of BRCA1, while 4% exhibit BRCA2 mutations 31. HGSOC tumours only form in animal models when all three of the BRCA, TP53 and PTEN genes are altered, which suggests a synergistic role of these genes in tumorigenesis 32. Mutation in other genes, including FAT3, CSND3, NF1, CDK12, RB1 and GABRA6, are also frequently identified in HGSOC tumours 15. Mutations in BRAF are restricted to serous borderline tumours, indicating that the majority of serous borderline tumours do not progress to serous carcinomas 33. Activating KRAS mutations are more common in mucinous tumours than in all other histological types 17, 34, while no mucinous tumours have been found to harbour a BRAF mutation 34. Loss or dysfunction of mismatch repair of gain‐of‐function PTEN 35 and PIK3CA 36 mutations is common in endometrioid and clear cell carcinoma, but not in serous or mucinous ovarian cancer 37. Deletion of LRP1B in HGSOC is associated with acquired resistance to liposomal doxorubicin 38. In addition to their histological implications, tumours with BRCA mutations are more likely to be platinum‐sensitive and associated with longer PFS and OS 39, 40. Reversion of germline BRCA1 or BRCA2 mutations in individual patients or loss of BRCA1 promoter methylation predicts resistance to platinum 20 and may also predict resistance to PARP ((poly (ADP‐ribose) polymerase) inhibitors 41, 42.

Epigenetics is defined as heritable changes in gene expression that do not alter the DNA sequence itself. The mechanisms responsible for such changes include DNA methylation, histone modification, and microRNAs, which are related to post‐transcriptional gene regulation. Epigenetic alterations are increasingly being implicated in the development and progression of ovarian cancer, and the gradual accumulation of epigenetic alterations has been associated with an advancing grade and stage of disease 43 (Table 2).

Table 2.

Epigenetic tumour heterogeneity in EOC

Molecular events Heterogeneous clinicopathological characteristics
Histology Grade Stage Response to CT Relapse risk Survival
Hypomethylation
Satellite DNA hypomethylation 47 High Advanced Adverse
Re‐expression of MCJ, SNCG, and BORIS 45; overexpression of CLDN4, MAL, BORIS, and TUBB3 44 Resistant
LINE‐1 54 and CT45 55 High Advanced High Adverse
HOXA10 promoter hypomethylation CCC 52, 53, rare in serous tumour 53 Adverse 53
Hypermethylation or methylation
MLH1Hypermethylation 57 High Resistant
hMLH1 promoter methylation Resistant 58, 59, 60 High 59 Adverse 59
hMSH2 57 Endometrioid High
DLEC1 methylation 60 HGSOC Advanced High
FBXO32 promoter hypermethylation or methylation 62 Advanced Resistant High
Promoter hypermethylation of ARMCX2, COL1A1, MDK, and MEST 60 Resistant
BRCA1 promoter hypermethylation Serous 67, 68 Resistant 20 Adverse 68
Histone modification
H3‐K27 m3 loss High 78 Advanced 78 Resistant 79, 80 Adverse 78
Proportion of SIRT1 expression 79 Serous
SIRT1 overexpression 81 Serous Early Faverable
MiRNAs
Up‐regulation of miR‐205 85 High Advanced
Up‐regulation of miR‐200a 86 High Advanced High
Down‐regulation of miR‐101 87 High Advanced Resistant
Reduced expression of miR‐34b*/c 88, hsa‐miR‐200a, hsa‐miR‐34a, and hsa‐miR‐449b 89 Advanced
Up‐regulation of Hsa‐miR‐378 89 Sensitive
Reduced expression of miR‐30c, miR‐130a, miR‐335 91, and miRNA‐149 94; overexpression of MiR‐214 92 and MiR‐197 94 Resistant
Overexpression of miR‐200c 86 High
Reduced expression of let‐7i 90 Resistant High
Overexpression of miR‐200, miR‐141, miR‐18a, miR‐93, and miR‐429 95 Favourable
Overexpression of hsa‐miR‐27a 89, let‐7b, and miR‐199a 95 Adverse

Methylation, which consists primarily of demethylation of oncogenes and hypermethylation of tumour suppressing genes, is frequently identified in ovarian cancer 44, 45. Gene hypermethylation and satellite and global DNA hypomethylation in ovarian tumours are both independently associated with the degree of malignancy 46. Satellite DNA hypomethylation is significantly more prevalent in advanced‐stage and high‐grade ovarian cancers and is an independent marker of poor prognosis 47. In addition to repetitive elements and DNA satellites, hypomethylation of promoter CpG islands and gene overexpression have been reported in ovarian cancer. CpG islands are DNA sequences containing CpG sites at an atypically high frequency 48 and are usually, but not exclusively, associated with gene promoters 49. Demethylation of CpG islands in gene promoters generally allows active gene transcription to occur 50. As a result of hypomethylation, re‐expression of MCJ, SNCG, and BORIS and overexpression of CLDN4, MAL, BORIS 45 and TUBB3 44 have been associated with chemoresistance in patients with EOC. As a result of promoter hypomethylation 51, HOXA10 is overexpressed in ovarian clear cell adenocarcinomas, but not in ovarian serous adenocarcinomas, normal ovarian epithelia or endometrial cysts 53. In addition, this overexpression in ovarian clear cell adenocarcinomas 52, 53 is associated with poor survival 53 . DNA hypomethylation‐mediated activation of the LINE‐1 54 and CT45 55 genes is correlated with high‐grade and advanced‐stage EOC and associated with poorer PFS and OS.

Aberrant methylation of CpG islands in ovarian tumours is associated with silencing of genes involved in the control of the cell cycle, apoptosis and drug sensitivity as well as tumour suppressor genes 56. Hypermethylation of the MLH1 gene, accompanied by loss of gene expression, and methylation of hMSH2 are correlated with a higher histological grade and lymph node metastasis of EOC 57. In addition, methylation of the hMLH1 promoter has been identified in 56% of EOC patients with acquired resistance to platinum‐based chemotherapy 58, 59, 60, predicting a high risk of relapse and poor OS 59. The methylation rate of hMSH2 is significantly higher in endometrioid adenocarcinoma tissues compared with other histological types of the disease 57. Epigenetic silencing of ARMCX2, COL1A1, MDK and MEST due to promoter hypermethylation at CpG sites has also been linked to the development of platinum‐based resistance in ovarian cancer 60. Methylation of DLEC1 is associated with recurrence of HGSOC, independent of tumour stage and suboptimal surgical debulking 61. Chou et al. 62 reported that hypermethylation of the FBXO32 promoter is more commonly observed in advanced‐stage ovarian tumours, and patients showing FBXO32 methylation exhibit significantly shorter PFS. Re‐expression of FBXO32 was demonstrated to markedly reduce proliferation, increase apoptosis, and restore sensitivity to cisplatin in a platinum‐resistant ovarian cancer cell line both in vitro and in vivo.

BRCA1 and BRCA2 germline mutations are present in the majority of patients with hereditary ovarian carcinoma 63, in contrast to the frequency of these mutations detected in unselected patients, which is only 15.3% 64. The majority of ovarian cancers arise independently of mutations in the BRCA1/2 genes 65. BRCA1/2 alterations of all kinds, including mutations, have been reported in up to 82% of ovarian tumours 31. The term ‘BRCAness’ has been used to describe the phenotypic traits that some sporadic ovarian tumours share with tumours found in BRCA1/2 germline mutation carriers and reflects similar causative molecular abnormalities 66. BRCAness appears to be the result of different epigenetic processes. Recent data suggest that hypermethylation of the BRCA1 promoter occurs in 10‐15% of sporadic cases and is associated with the serous histotype 67, 68. BRCA2 can also be down‐regulated through silencing of its upstream regulator, FANCF, by promoter methylation 69, 70. Although patients with BRCA1/2 mutations and low protein/mRNA expression of BRCA1 tend to show a favourable response to treatment20 and a better outcome 40, BRCA1 promoter methylation is significantly correlated with resistance to treatment 20 and a poorer prognosis 68 in patients with EOC. Thus, methylation is not functionally equivalent to a germline mutation in mediating chemotherapy sensitivity. While methylation of BRCA1 is common in sporadic ovarian cancer, it has not been reported in the hereditary form of the disease or in samples from women with germline BRCA1 mutations 71. BRCA2 does not present a similar methylation profile in ovarian cancer 72.

DNA‐associated histone proteins are subject to extensive modifications that mediate the assembly of transcriptionally permissive or repressive (i.e., open or closed) chromatin. Chromatin modifiers regulate the expression of different sets of genes involved in tumorigenesis 73. DNA methylation and histone deacetylation often coordinately inhibit gene transcription 74. However, histone modification is an independent mechanism of epigenetic gene regulation under some conditions 75, 76. H3K27m3 is a transcription‐suppressive histone mark found in chromatin in association with EZH2, a component of the Polycomb (PcG) complex 77. In ovarian cancer, decreased expression of H3K27me3 is significantly associated with high‐grade and advanced‐stage tumours, but not with the histological type 78, predicting resistance to chemotherapy 79 and a poor clinical outcome in ovarian cancer and other malignancies 78. Removal of H3K27 methylation was shown to lead to re‐expression of the RASSF1 tumour suppressor and resensitize drug‐resistant ovarian cancer cells to cisplatin; this increased platinum access to DNA was likely due to relaxation of condensed chromatin 80. Sirtuin1 (SIRT1) is a nicotinamide adenine dinucleotide‐dependent deacetylase and a class III histone deacetyltransferase. The proportion of SIRT1 expression is significantly higher in serous carcinoma compared with mucinous tumours. SIRT1 overexpression is more common in early‐stage serous carcinomas and is correlated with longer OS compared with late‐stage disease 81. SIRT1 also facilitates the acquisition of drug resistance through its influence on the tumour microenvironment, function in DNA repair and promotion of cancer stem cell survival 82. Thus, SIRT1 is being considered as a possible target for overcoming drug resistance in many malignancies.

Having been implicated in the initiation and progression of human cancers, microRNAs regulate processes such as cell growth, differentiation and apoptosis 83. A variety of miRNAs are associated with tumour subtype, stage, grade, therapy resistance and prognosis in ovarian cancer 84 (Table 2). Up‐regulation of miR‐205 85 and miR‐200a 86 and down‐regulation of miR‐10187 are significantly associated with a high pathological grade and advanced stage of EOC in patients. In addition, patients with lymph node metastasis show significant elevation of miR‐200c 86. Reduced expression of miR‐34b*/c 88, hsa‐miR‐200a, hsa‐miR‐34a and hsa‐miR‐449b 89 is frequently identified in advanced‐stage tumours. Hsa‐miR‐378 89 and let‐7i 90 are up‐regulated in patients who are sensitive to platinum; in contrast, miR‐101, 87 miR‐30c, miR‐130a and miR‐335 91 are down‐regulated in several resistant ovarian cancer cell lines, suggesting direct involvement in the development of chemoresistance. MiR‐214 induces cell survival and cisplatin resistance through targeting the 3′‐UTR of the PTEN gene, which leads to reduced expression of PTEN and activation of the Akt pathway 92. Down‐regulation of miRNA‐149 decreases the sensitivity of ovarian cancer cells to paclitaxel treatment by increasing MyD88 expression 93. MiR‐197 is significantly increased in Taxol‐resistant ovarian cancer cells 94. In addition, decreased expression of let‐7i 90 and overexpression of miR‐200a and miR‐200c 86 are associated with shorter PFS, suggesting their potential for predicting relapse. Overexpression of miR‐200, miR‐141, miR‐18a, miR‐93 and miR‐429 95 is associated with improved OS, whereas high levels of hsa‐miR‐27a, 89 let‐7b and miR‐199a 95 are potentially correlated with a poor prognosis in patients with EOC.

Molecular targeted treatment

The rapid development of genetics and epigenetics has facilitated the study of the molecular mechanisms of TH in EOC. This knowledge has led to the introduction of novel treatments that are rationally designed to target specific molecular factors implicated in tumour growth (Table 3).

Table 3.

Molecular‐targeted treatments for EOC

Drug Condition Treatment regimen Trial phase
Targeting homologous recombination (PARP inhibitors)
Olaparib 101, 102 BRCA‐associated ovarian cancer in both newly diagnosed and platinum‐sensitive recurrent settings Combined with post‐platinum based CT Phase III
Veliparib 101 Recurrent HGSC (both germline BRCA and sporadic allowed Combined with Temozolomide Phase II
Niraparib 101 Recurrent platinum‐sensitive ovarian cancer Combined with post‐platinum based CT Phase III
Rucaparib 101 Recurrent platinum‐sensitive ovarian cancer Combined with post‐platinum based CT Phase III
BMN673 101 Advanced or recurrent EOC Single agent Phase I
Targeting the PI3K/AKT/mTOR pathway
Perifosine 110 Recurrent EOC Combined with docetaxel Phase II
Temsirolimus 111 Primary, persistent or recurrent EOC Single agent Phase II
Targeting aberrant DNA methylation
Cytarabine 114 CT‐resistant EOC Single agent Preclinical
Zebularine 115 CT‐resistant EOC Combined with cisplatin Preclinical
Azacitidine 116 Platinum‐resistant Combined with platinum Phase Ib‐IIa
Decitabine 117 Recurrent or platinum‐resistant EOC Combined with platinum Phase I
Targeting histone modifications
Vorinostat 121 Persistent or recurrent EOC Single agent Phase II
Romidepsin 122 Related data not available Phase II
Valproate 123, 124 Primary or resistant EOC Single agent or combined with platinum Preclinical
PXD101 125 CT‐resistant EOC Combined with platinum Preclinical
Targeting miRNA dysregulation
MiR‐124 129 Advanced EOC Single agent Preclinical

Dysfunction of BRCA1 and BRCA2 is associated with ovarian cancer tumorigenesis, due to an inability to repair DNA double‐strand breaks (DSBs) 96. The PARPs are a family of enzymes involved in base excision repair, a key pathway in the repair of DNA single‐strand breaks (SSBs). PARP inhibition leads to the persistence of spontaneously occurring SSBs and subsequent formation of DSBs, as the SSBs stall and collapse replication forks. These DSBs cannot be repaired by the defective HR pathway in BRCA‐mutated cells, resulting in cell death.

PARP inhibitors induce synthetic lethality in BRCA‐deficient tissues. BRCA1/2‐deficient cancers are now recognized as the target of a class of drugs known as PARP inhibitors. Deficiency of either PARP or BRCA alone has no impact, but deficiency in both leads to a lethal effect 97, 98. Clinical investigation of the use of PARP inhibitors for the treatment of EOC evolved rapidly from the observations of single‐agent activity conducted in vitro in BRCA‐deficient cancer cells in 2005 to the initiation of multiple phase 3 studies in 2013. Ledermann et al. 99 retrospectively analysed the data from a randomized, double‐blind, phase 2 study 100 and showed that patients with recurrent, platinum‐sensitive serous ovarian cancer with a BRCA mutation exhibit the highest likelihood of benefiting from olaparib, the first human PARP inhibitor. Two phase III studies have been carried out to test olaparib versus placebo as maintenance therapy for both newly diagnosed and platinum‐sensitive recurrent BRCA‐associated ovarian cancer 101. In December 2014, olaparib was approved for the treatment of patients with germline BRCA1/2‐associated advanced ovarian cancer who have received three or more lines of chemotherapy. This approval represents the first ‘personalized’ therapy for ovarian cancer 102. Other PARP inhibitors that have been tested or are currently being tested in clinical trials for ovarian cancer include veliparib, niraparib, rucaparib and BMN673 101. In addition to ovarian cancer, PARP inhibitors have shown encouraging in for other BRCA1/2 mutation‐related cancers, such as breast cancer 103, endometrial cancer 104, prostate cancer 105 and pancreatic cancer 106. Future and ongoing trials will identify the most effective role of these agents for use in human cancer treatment.

The signalling cascade involving PI3K, AKT and mTOR plays a key role in mediating cell proliferation and survival and is one of the pathways that is frequently affected in human cancer 107. Various genetic alterations that activate PI3K/AKT/mTOR signalling have been identified in ovarian cancer 108. In a previous study, we demonstrated that PI3K/AKT/mTOR pathway activation is associated with significantly higher migratory and invasive capacities in subpopulations of human ovarian cancer cell lines 109. Thus, this pathway is regarded as an attractive candidate for therapeutic interventions against EOC, and inhibitors targeting different components of the pathway are in various stages of clinical development. Thus far, results have been published only for a phase I trial of an AKT inhibitor, perifosine 110, and a phase II trial of an mTORC1 inhibitor, temsirolimus 111. Perifosine plus docetaxel appears to be effective in patients with mutational activation of the PI3K/AKT pathway 110. A phase II clinical trial is currently being conducted to investigate the efficacy of perifosine as well as the association between PIK3CA status and the response to treatment in patients with recurrent gynaecological malignancies, including ovarian cancer. In a GOG phase II trial, 111 temsirolimus monotherapy showed modest activity in persistent or recurrent EOC and primary peritoneal cancer, and PFS was just below that required to warrant the inclusion of unselected patients in phase III studies. Based on these results, a phase II trial is currently being conducted specifically targeting ovarian clear cell carcinoma, which often exhibits PI3K/AKT/mTOR activation 108. This trial is aimed at examining the use of temsirolimus in combination with carboplatin and paclitaxel, followed by temsirolimus consolidation, as a first‐line therapy for patients with ovarian cancer, and its results appear promising.

Because genetic alterations are almost impossible to reverse, the potential reversibility of epigenetic mechanisms makes them more attractive candidates for the prevention and treatment of ovarian carcinoma 112. There are two types of DNA methylation inhibitors (DNMTIs): nucleoside and non‐nucleoside analogues 44. Nucleoside analogues, such as cytarabine and decitabine, can inhibit methylation when they are integrated into DNA and block the release of DNA methyltransferases by forming a covalent complex with these enzymes 113. Cytarabine has been reported to induce re‐expression of hMLH1 and reverse drug resistance in human tumour xenografts through demethylation of the hMLH1 promoter 114. Zebularine can also induce demethylation of hMLH1 and RASSF1A and resensitize drug‐resistant cell lines to cisplatin 115. The ability of azacitidine and decitabine to reverse platinum resistance in ovarian cancer patients has been preliminarily confirmed in two clinical trials 116, 117.

Inhibitors of histone deacetylation (HDACIs) represent another promising new class of anticancer agents. Among the currently available HDACIs, four have been tested in ovarian cancer, including vorinostat, romidepsin, valproate and PXD101. Vorinostat and romidepsin have both been approved by the FDA for the treatment of cutaneous T‐cell lymphoma. Both agents, in combination with cytotoxic agents, have shown significant activity in inhibiting ovarian cancer cell growth in preclinical studies 118, 119, 120. However, in a phase II study, vorinostat displayed minimal activity as a single agent for treating persistent or recurrent epithelial ovarian or primary peritoneal carcinoma, despite its acceptable tolerability 121. A phase II trial examining the use of romidepsin for the treatment of ovarian cancer is ongoing 122. Valproate exhibits direct HDACI activity, although the associated mechanisms of action remain unclear. Valproate is effective in sensitizing ovarian cancer cells to cisplatin and resensitizing cisplatin‐resistant cells, both alone and in combination with other drugs 123, 124. PXD101 can increase the acetylation of A‐tubulin induced by docetaxel and the phosphorylation of H2AX induced by carboplatin. In addition, this drug can effectively reverse drug tolerance in both in vitro and in vivo models of ovarian cancer 125.

DNA methylation and histone modifications are intimately linked 74. Hence, combining two classes of epigenetic drugs, DNMTIs and HDACIs, with conventional therapies may be a more effective approach in the clinic 126.

The dysregulation of miRNA expression in tumours makes miRNAs another potential therapeutic target, necessitating the specific identification of genes that are targets of miRNA regulation. The overexpression of miRNAs that act as oncogenes can be targeted for down‐regulation through the use of anti‐miRNA oligonucleotides, miRNA masking, miRNA sponges or small molecule inhibitors. In contrast, restoring the activity of tumour suppressor miRNAs can inhibit proliferation and induce apoptosis of tumour cells, and miRNA mimics are applicable under these conditions 127. Several clinical trials have been initiated to test the efficacy of miRNA‐based therapeutics for the treatment of leukaemia, prostate cancer, and skin cancer 128 . As for ovarian cancer, this therapeutic approach is still at a preclinical stage to the best of our knowledge. Having identified miR‐124 as a potential tumour suppressor that can functionally target the p27/myc/phospho‐Rb protein signature, Seviour et al. 129 demonstrated that nanoparticle‐mediated delivery of miR‐124 can reduce tumour growth and sensitize cells to etoposide in a xenograft model. These findings present an exciting opportunity for the potential therapeutic use of miR‐124 in combination with chemotherapy in patients with late‐stage EOC.

Conclusions

Epithelial ovarian cancer is a heterogeneous disease. As discussed above, the genomic and epigenomic atlas of EOC varies significantly with tumour histotypes, grades and stages as well as with a patient's prognosis and sensitivity to chemotherapy. The rapidly increasing knowledge about the genetic and epigenetic events that control TH in EOC is facilitating the development of molecular targeted therapy. PARP inhibitors, which are designed to target HR, are poised to change how BRCA‐related ovarian cancer is treated, representing the first ‘personalized’ therapy for ovarian cancer. Epigenetic treatment regimens being tested in preclinical or clinical studies are giving rise to optimism regarding the improvement of patient survival and may also provide promising novel treatment approaches.

Disclosure

The authors have no conflict of interest to declare.

Author contribution

Huimin Bai, Dongyan Cao, Keng Shen and Zhenyu Zhang: Conception and design of the study, assembly, analysis and interpretation of the data, manuscript writing. The other authors: analysis and interpretation of the data.

Acknowledgements

This study was supported by Major projects of Science and Technology Program of Beijing Scientific Committee (no. D151100001915004) and National High Technology Research and Development Program of China (nos’. 2012AA02A507, 2014AA020606).

References

  • 1. Siegel R, Ma J, Zou Z, et al Cancer statistics, 2014. CA Cancer J Clin. 2014; 64: 9–29. [DOI] [PubMed] [Google Scholar]
  • 2. Cooke SL, Brenton JD. Evolution of platinum resistance in high‐grade serous ovarian cancer. Lancet Oncol. 2011; 12: 1169–74. [DOI] [PubMed] [Google Scholar]
  • 3. Campbell LL, Polyak K. Breast tumor heterogeneity: cancer stem cells or clonal evolution? Cell Cycle. 2007; 6: 2332–8. [DOI] [PubMed] [Google Scholar]
  • 4. Gerlinger M, Swanton C. How Darwinian models inform therapeutic failure initiated by clonal heterogeneity in cancer medicine. Br J Cancer. 2010; 103: 1139–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Chao SY, Chiang JH, Huang AM, et al An integrative approach to identifying cancer chemoresistance‐associated pathways. BMC Med Genomics. 2011; 4: 23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Mavaddat N, Barrowdale D, Andrulis IL, et al Pathology of breast and ovarian cancers among BRCA1 and BRCA2 mutation carriers: results from the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). Cancer Epidemiol Biomarkers Prev. 2012; 21: 134–47. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Sniegowski PD, Gerrish PJ, Johnson T, et al The evolution of mutation rates: separating causes from consequences. BioEssays. 2000; 22: 1057–66. [DOI] [PubMed] [Google Scholar]
  • 8. Bayani J, Marrano P, Graham C, et al Genomic instability and copy‐number heterogeneity of chromosome 19q, including the kallikrein locus, in ovarian carcinomas. Mol Oncol. 2011; 5: 48–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Kiechle M, Jacobsen A, Schwarz‐Boeger U, et al Comparative genomic hybridization detects genetic imbalances in primary ovarian carcinomas as correlated with grade of differentiation. Cancer. 2001; 91: 534–40. [PubMed] [Google Scholar]
  • 10. Makhija S, Sit A, Edwards R, et al Identification of genetic alterations related to chemoresistance in epithelial ovarian cancer. Gynecol Oncol. 2003; 90: 3–9. [DOI] [PubMed] [Google Scholar]
  • 11. Despierre E, Moisse M, Yesilyurt B, et al Somatic copy number alterations predict response to platinum therapy in epithelial ovarian cancer. Gynecol Oncol. 2014; 135: 415–22. [DOI] [PubMed] [Google Scholar]
  • 12. Hu J, Khanna V, Jones MW, et al Comparative study of primary and recurrent ovarian serous carcinomas: comparative genomic hybridization analysis with a potential application for prognosis. Gynecol Oncol. 2003; 89: 369–75. [DOI] [PubMed] [Google Scholar]
  • 13. Bruchim I, Israeli O, Mahmud SM, et al Genetic alterations detected by comparative genomic hybridization and recurrence rate in epithelial ovarian carcinoma. Cancer Genet Cytogenet. 2009; 190: 66–70. [DOI] [PubMed] [Google Scholar]
  • 14. Kamieniak MM, Rico D, Milne RL, et al Deletion at 6q24.2‐26 predicts longer survival of high‐grade serous epithelial ovarian cancer patients. Mol Oncol. 2015; 9: 422–36. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Bell D, Berchuck A, Birrer M, Chien J, Cramer D, Dao F, et al. Integrated genomic analyses of ovarian carcinoma. Nature. 2011; 474: 609–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Gorringe KL, Jacobs S, Thompson ER, et al High‐resolution single nucleotide polymorphism array analysis of epithelial ovarian cancer reveals numerous microdeletions and amplifications. Clin Cancer Res. 2007; 13: 4731–9. [DOI] [PubMed] [Google Scholar]
  • 17. Huang RY, Chen GB, Matsumura N, et al Histotype‐specific copy‐number alterations in ovarian cancer. BMC Med Genomics. 2012; 5: 47. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Mayr D, Kanitz V, Anderegg B, et al Analysis of gene amplification and prognostic markers in ovarian cancer using comparative genomic hybridization for microarrays and immunohistochemical analysis for tissue microarrays. Am J Clin Pathol. 2006; 126: 101–9. [DOI] [PubMed] [Google Scholar]
  • 19. Shayesteh L, Lu Y, Kuo WL, et al PIK3CA is implicated as an oncogene in ovarian cancer. Nat Genet. 1999; 21: 99–102. [DOI] [PubMed] [Google Scholar]
  • 20. Patch AM, Christie EL, Etemadmoghadam D, et al Whole‐genome characterization of chemoresistant ovarian cancer. Nature. 2015; 521: 489–94. [DOI] [PubMed] [Google Scholar]
  • 21. Etemadmoghadam D, deFazio A, Beroukhim R, et al Integrated genome‐wide DNA copy number and expression analysis identifies distinct mechanisms of primary chemoresistance in ovarian carcinomas. Clin Cancer Res. 2009; 15: 1417–27. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Bellacosa A, de Feo D, Godwin AK, et al Molecular alterations of the AKT2 oncogene in ovarian and breast carcinomas. Int J Cancer. 1995; 64: 280–5. [DOI] [PubMed] [Google Scholar]
  • 23. Page C, Lin HJ, Jin Y, et al Overexpression of Akt/AKT can modulate chemotherapy‐induced apoptosis. Anticancer Res. 2000; 20: 407–16. [PubMed] [Google Scholar]
  • 24. Shan SJ, Scorilas A, Katsaros D, et al Transcriptional upregulation of human tissue kallikrein 6 in ovarian cancer: clinical and mechanistic aspects. Br J Cancer. 2007; 96: 362–72. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Despierre E, Vergote I, Anderson R, et al Epidermal growth factor receptor (EGFR) pathway biomarkers in the randomized phase III trial of erlotinib versus observation in ovarian cancer patients with no evidence of disease progression after first‐line platinum‐based chemotherapy. Target Oncol. 2015; 10: 583–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. He L, Guo L, Vathipadiekal V, et al Identification of LMX1B as a novel oncogene in human ovarian cancer. Oncogene. 2014; 33: 4226–35. [DOI] [PubMed] [Google Scholar]
  • 27. Davis SJ, Sheppard KE, Anglesio MS, et al Enhanced GAB2 expression is associated with improved survival in high‐grade serous ovarian cancer and sensitivity to PI3K inhibition. Mol Cancer Ther. 2015; 14: 1495–503. [DOI] [PubMed] [Google Scholar]
  • 28. Ahmed AA, Etemadmoghadam D, Temple J, et al Driver mutations in TP53 are ubiquitous in high grade serous carcinoma of the ovary. J Pathol. 2010; 221: 49–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Venkitaraman AR. Cancer susceptibility and the functions of BRCA1 and BRCA2. Cell. 2002; 108: 171–82. [DOI] [PubMed] [Google Scholar]
  • 30. Geisler JP, Hatterman‐Zogg MA, Rathe JA, et al Frequency of BRCA1 dysfunction in ovarian cancer. J Natl Cancer Inst. 2002; 94: 61–7. [DOI] [PubMed] [Google Scholar]
  • 31. Hilton JL, Geisler JP, Rathe JA, et al Inactivation of BRCA1 and BRCA2 in ovarian cancer. J Natl Cancer Inst. 2002; 94: 1396–406. [DOI] [PubMed] [Google Scholar]
  • 32. Perets R, Wyant GA, Muto KW, et al Transformation of the fallopian tube secretory epithelium leads to high‐grade serous ovarian cancer in Brca;Tp53;Pten models. Cancer Cell. 2013; 24: 751–65. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Sieben NL, Macropoulos P, Roemen GM, et al In ovarian neoplasms, BRAF, but not KRAS, mutations are restricted to low‐grade serous tumours. J Pathol. 2004; 202: 336–40. [DOI] [PubMed] [Google Scholar]
  • 34. Gemignani ML, Schlaerth AC, Bogomolniy F, et al Role of KRAS and BRAF gene mutations in mucinous ovarian carcinoma. Gynecol Oncol. 2003; 90: 378–81. [DOI] [PubMed] [Google Scholar]
  • 35. Obata K, Morland SJ, Watson RH, et al Frequent PTEN/MMAC mutations in endometrioid but not serous or mucinous epithelial ovarian tumors. Cancer Res. 1998; 58: 2095–7. [PubMed] [Google Scholar]
  • 36. Kuo KT, Mao TL, Jones S, et al Frequent activating mutations of PIK3CA in ovarian clear cell carcinoma. Am J Pathol. 2009; 174: 1597–601. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Verhaak RG, Tamayo P, Yang JY, et al Prognostically relevant gene signatures of high‐grade serous ovarian carcinoma. J Clin Invest. 2013; 123: 517–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Cowin PA, George J, Fereday S, et al LRP1B deletion in high‐grade serous ovarian cancers is associated with acquired chemotherapy resistance to liposomal doxorubicin. Cancer Res. 2012; 72: 4060–73. [DOI] [PubMed] [Google Scholar]
  • 39. Vencken PM, Kriege M, Hoogwerf D, et al Chemosensitivity and outcome of BRCA1‐ and BRCA2‐associated ovarian cancer patients after first‐line chemotherapy compared with sporadic ovarian cancer patients. Ann Oncol. 2011; 22: 1346–52. [DOI] [PubMed] [Google Scholar]
  • 40. Sun C, Li N, Ding D, et al The role of BRCA status on the prognosis of patients with epithelial ovarian cancer: a systematic review of the literature with a meta‐analysis. PLoS ONE. 2014; 9: e95285. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Norquist B, Wurz KA, Pennil CC, et al Secondary somatic mutations restoring BRCA1/2 predict chemotherapy resistance in hereditary ovarian carcinomas. J Clin Oncol. 2011; 29: 3008–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Sakai W, Swisher EM, Karlan BY, et al Secondary mutations as a mechanism of cisplatin resistance in BRCA2‐mutated cancers. Nature. 2008; 451: 1116–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Balch C, Fang F, Matei DE, et al Minireview: epigenetic changes in ovarian cancer. Endocrinology. 2009; 150: 4003–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Koukoura O, Spandidos DA, Daponte A, et al DNA methylation profiles in ovarian cancer: implication in diagnosis and therapy. Mol Med Rep. 2014; 10: 3–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Matei DE, Nephew KP. Epigenetic therapies for chemoresensitization of epithelial ovarian cancer. Gynecol Oncol. 2010; 116: 195–201. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Ehrlich M, Woods CB, Yu MC, et al Quantitative analysis of associations between DNA hypermethylation, hypomethylation, and DNMT RNA levels in ovarian tumors. Oncogene. 2006; 25: 2636–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Widschwendter M, Jiang G, Woods C, et al DNA hypomethylation and ovarian cancer biology. Cancer Res. 2004; 64: 4472–80. [DOI] [PubMed] [Google Scholar]
  • 48. Illingworth RS, Bird AP. CpG islands–’a rough guide’. FEBS Lett. 2009; 583: 1713–20. [DOI] [PubMed] [Google Scholar]
  • 49. Bernstein BE, Meissner A, Lander ES. The mammalian epigenome. Cell. 2007; 128: 669–81. [DOI] [PubMed] [Google Scholar]
  • 50. Weber M, Schubeler D. Genomic patterns of DNA methylation: targets and function of an epigenetic mark. Curr Opin Cell Biol. 2007; 19: 273–80. [DOI] [PubMed] [Google Scholar]
  • 51. Cheng W, Jiang Y, Liu C, et al Identification of aberrant promoter hypomethylation of HOXA10 in ovarian cancer. J Cancer Res Clin Oncol. 2010; 136: 1221–7. [DOI] [PubMed] [Google Scholar]
  • 52. Cheng W, Liu J, Yoshida H, et al Lineage infidelity of epithelial ovarian cancers is controlled by HOX genes that specify regional identity in the reproductive tract. Nat Med. 2005; 11: 531–7. [DOI] [PubMed] [Google Scholar]
  • 53. Li B, Jin H, Yu Y, et al HOXA10 is overexpressed in human ovarian clear cell adenocarcinoma and correlates with poor survival. Int J Gynecol Cancer. 2009; 19: 1347–52. [DOI] [PubMed] [Google Scholar]
  • 54. Pattamadilok J, Huapai N, Rattanatanyong P, et al LINE‐1 hypomethylation level as a potential prognostic factor for epithelial ovarian cancer. Int J Gynecol Cancer. 2008; 18: 711–7. [DOI] [PubMed] [Google Scholar]
  • 55. Zhang W, Barger CJ, Link PA, et al DNA hypomethylation‐mediated activation of Cancer/Testis Antigen 45 (CT45) genes is associated with disease progression and reduced survival in epithelial ovarian cancer. Epigenetics. 2015; 10: 736–48. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56. Barton CA, Hacker NF, Clark SJ, et al DNA methylation changes in ovarian cancer: implications for early diagnosis, prognosis and treatment. Gynecol Oncol. 2008; 109: 129–39. [DOI] [PubMed] [Google Scholar]
  • 57. Zhang H, Zhang S, Cui J, et al Expression and promoter methylation status of mismatch repair gene hMLH1 and hMSH2 in epithelial ovarian cancer. Aust N Z J Obstet Gynaecol. 2008; 48: 505–9. [DOI] [PubMed] [Google Scholar]
  • 58. Watanabe Y, Ueda H, Etoh T, et al A change in promoter methylation of hMLH1 is a cause of acquired resistance to platinum‐based chemotherapy in epithelial ovarian cancer. Anticancer Res. 2007; 27: 1449–52. [PubMed] [Google Scholar]
  • 59. Gifford G, Paul J, Vasey PA, et al The acquisition of hMLH1 methylation in plasma DNA after chemotherapy predicts poor survival for ovarian cancer patients. Clin Cancer Res. 2004; 10: 4420–6. [DOI] [PubMed] [Google Scholar]
  • 60. Zeller C, Dai W, Steele NL, et al Candidate DNA methylation drivers of acquired cisplatin resistance in ovarian cancer identified by methylome and expression profiling. Oncogene. 2012; 31: 4567–76. [DOI] [PubMed] [Google Scholar]
  • 61. Montavon C, Gloss BS, Warton K, et al Prognostic and diagnostic significance of DNA methylation patterns in high grade serous ovarian cancer. Gynecol Oncol. 2012; 124: 582–8. [DOI] [PubMed] [Google Scholar]
  • 62. Chou JL, Su HY, Chen LY, et al Promoter hypermethylation of FBXO32, a novel TGF‐beta/SMAD4 target gene and tumor suppressor, is associated with poor prognosis in human ovarian cancer. Lab Invest. 2010; 90: 414–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63. Frank TS, Manley SA, Olopade OI, et al Sequence analysis of BRCA1 and BRCA2: correlation of mutations with family history and ovarian cancer risk. J Clin Oncol. 1998; 16: 2417–25. [DOI] [PubMed] [Google Scholar]
  • 64. Pal T, Permuth‐Wey J, Betts JA, et al BRCA1 and BRCA2 mutations account for a large proportion of ovarian carcinoma cases. Cancer. 2005; 104: 2807–16. [DOI] [PubMed] [Google Scholar]
  • 65. Weberpals JI, Koti M, Squire JA. Targeting genetic and epigenetic alterations in the treatment of serous ovarian cancer. Cancer Genet. 2011; 204: 525–35. [DOI] [PubMed] [Google Scholar]
  • 66. Rigakos G, Razis E. BRCAness: finding the Achilles heel in ovarian cancer. Oncologist. 2012; 17: 956–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67. Yang HJ, Liu VW, Wang Y, et al Differential DNA methylation profiles in gynecological cancers and correlation with clinico‐pathological data. BMC Cancer. 2006; 6: 212. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68. Wiley A, Katsaros D, Chen H, et al Aberrant promoter methylation of multiple genes in malignant ovarian tumors and in ovarian tumors with low malignant potential. Cancer. 2006; 107: 299–308. [DOI] [PubMed] [Google Scholar]
  • 69. Taniguchi T, Tischkowitz M, Ameziane N, et al Disruption of the Fanconi anemia‐BRCA pathway in cisplatin‐sensitive ovarian tumors. Nat Med. 2003; 9: 568–74. [DOI] [PubMed] [Google Scholar]
  • 70. Lim SL, Smith P, Syed N, et al Promoter hypermethylation of FANCF and outcome in advanced ovarian cancer. Br J Cancer. 2008; 98: 1452–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71. Bol GM, Suijkerbuijk KP, Bart J, et al Methylation profiles of hereditary and sporadic ovarian cancer. Histopathology. 2010; 57: 363–70. [DOI] [PubMed] [Google Scholar]
  • 72. Kontorovich T, Cohen Y, Nir U, et al Promoter methylation patterns of ATM, ATR, BRCA1, BRCA2 and p53 as putative cancer risk modifiers in Jewish BRCA1/BRCA2 mutation carriers. Breast Cancer Res Treat. 2009; 116: 195–200. [DOI] [PubMed] [Google Scholar]
  • 73. Ozdag H, Teschendorff AE, Ahmed AA, et al Differential expression of selected histone modifier genes in human solid cancers. BMC Genom. 2006; 7: 90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74. Jones PA, Baylin SB. The epigenomics of cancer. Cell. 2007; 128: 683–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75. Caslini C, Capo‐chichi CD, Roland IH, et al Histone modifications silence the GATA transcription factor genes in ovarian cancer. Oncogene. 2006; 25: 5446–61. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76. Chan MW, Huang YW, Hartman‐Frey C, et al Aberrant transforming growth factor beta1 signaling and SMAD4 nuclear translocation confer epigenetic repression of ADAM19 in ovarian cancer. Neoplasia. 2008; 10: 908–19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77. Muller J, Hart CM, Francis NJ, et al Histone methyltransferase activity of a Drosophila Polycomb group repressor complex. Cell. 2002; 111: 197–208. [DOI] [PubMed] [Google Scholar]
  • 78. Wei Y, Xia W, Zhang Z, et al Loss of trimethylation at lysine 27 of histone H3 is a predictor of poor outcome in breast, ovarian, and pancreatic cancers. Mol Carcinog. 2008; 47: 701–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79. Chapman‐Rothe N, Curry E, Zeller C, et al Chromatin H3K27me3/H3K4me3 histone marks define gene sets in high‐grade serous ovarian cancer that distinguish malignant, tumour‐sustaining and chemo‐resistant ovarian tumour cells. Oncogene. 2013; 32: 4586–92. [DOI] [PubMed] [Google Scholar]
  • 80. Abbosh PH, Montgomery JS, Starkey JA, et al Dominant‐negative histone H3 lysine 27 mutant derepresses silenced tumor suppressor genes and reverses the drug‐resistant phenotype in cancer cells. Cancer Res. 2006; 66: 5582–91. [DOI] [PubMed] [Google Scholar]
  • 81. Jang KY, Kim KS, Hwang SH, et al Expression and prognostic significance of SIRT1 in ovarian epithelial tumours. Pathology. 2009; 41: 366–71. [DOI] [PubMed] [Google Scholar]
  • 82. Wang Z, Chen W. Emerging roles of SIRT1 in cancer drug resistance. Genes Cancer. 2013; 4: 82–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83. Iorio MV, Croce CM. MicroRNAs in cancer: small molecules with a huge impact. J Clin Oncol. 2009; 27: 5848–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84. Van Jaarsveld MT, Helleman J, Berns EM, et al MicroRNAs in ovarian cancer biology and therapy resistance. Int J Biochem Cell Biol. 2010; 42: 1282–90. [DOI] [PubMed] [Google Scholar]
  • 85. Niu K, Shen W, Zhang Y, et al MiR‐205 promotes motility of ovarian cancer cells via targeting ZEB1. Gene. 2015; 574: 330–336. [DOI] [PubMed] [Google Scholar]
  • 86. Zuberi M, Mir R, Das J, et al Expression of serum miR‐200a, miR‐200b, and miR‐200c as candidate biomarkers in epithelial ovarian cancer and their association with clinicopathological features. Clin Transl Oncol. 2015; 17: 779–87. [DOI] [PubMed] [Google Scholar]
  • 87. Liu L, Guo J, Yu L, et al miR‐101 regulates expression of EZH2 and contributes to progression of and cisplatin resistance in epithelial ovarian cancer. Tumour Biol. 2014; 35: 12619–26. [DOI] [PubMed] [Google Scholar]
  • 88. Corney DC, Hwang CI, Matoso A, et al Frequent downregulation of miR‐34 family in human ovarian cancers. Clin Cancer Res. 2010; 16: 1119–28. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89. Eitan R, Kushnir M, Lithwick‐Yanai G, et al Tumor microRNA expression patterns associated with resistance to platinum based chemotherapy and survival in ovarian cancer patients. Gynecol Oncol. 2009; 114: 253–9. [DOI] [PubMed] [Google Scholar]
  • 90. Yang N, Kaur S, Volinia S, et al MicroRNA microarray identifies Let‐7i as a novel biomarker and therapeutic target in human epithelial ovarian cancer. Cancer Res. 2008; 68: 10307–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91. Sorrentino A, Liu CG, Addario A, et al Role of microRNAs in drug‐resistant ovarian cancer cells. Gynecol Oncol. 2008; 111: 478–86. [DOI] [PubMed] [Google Scholar]
  • 92. Yang H, Kong W, He L, et al MicroRNA expression profiling in human ovarian cancer: miR‐214 induces cell survival and cisplatin resistance by targeting PTEN. Cancer Res. 2008; 68: 425–33. [DOI] [PubMed] [Google Scholar]
  • 93. Ibrahim FF, Jamal R, Syafruddin SE, et al MicroRNA‐200c and microRNA‐31 regulate proliferation, colony formation, migration and invasion in serous ovarian cancer. J Ovarian Res. 2015; 8: 56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94. Zou D, Wang D, Li R, et al MiR‐197 induces Taxol resistance in human ovarian cancer cells by regulating NLK. Tumour Biol. 2015; 36: 6725–6732. [DOI] [PubMed] [Google Scholar]
  • 95. Nam EJ, Yoon H, Kim SW, et al MicroRNA expression profiles in serous ovarian carcinoma. Clin Cancer Res. 2008; 14: 2690–5. [DOI] [PubMed] [Google Scholar]
  • 96. Yoshida K, Miki Y. Role of BRCA1 and BRCA2 as regulators of DNA repair, transcription, and cell cycle in response to DNA damage. Cancer Sci. 2004; 95: 866–71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97. Safra T, Borgato L, Nicoletto MO, et al BRCA mutation status and determinant of outcome in women with recurrent epithelial ovarian cancer treated with pegylated liposomal doxorubicin. Mol Cancer Ther. 2011; 10: 2000–7. [DOI] [PubMed] [Google Scholar]
  • 98. Murai J, Huang SY, Das BB, et al Trapping of PARP1 and PARP2 by Clinical PARP Inhibitors. Cancer Res. 2012; 72: 5588–99. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99. Ledermann J, Harter P, Gourley C, et al Olaparib maintenance therapy in patients with platinum‐sensitive relapsed serous ovarian cancer: a preplanned retrospective analysis of outcomes by BRCA status in a randomised phase 2 trial. Lancet Oncol. 2014; 15: 852–61. [DOI] [PubMed] [Google Scholar]
  • 100. Ledermann J, Harter P, Gourley C, et al Olaparib maintenance therapy in platinum‐sensitive relapsed ovarian cancer. N Engl J Med. 2012; 366: 1382–92. [DOI] [PubMed] [Google Scholar]
  • 101. Liu JF, Konstantinopoulos PA, Matulonis UA. PARP inhibitors in ovarian cancer: current status and future promise. Gynecol Oncol. 2014; 133: 362–9. [DOI] [PubMed] [Google Scholar]
  • 102. Walsh CS. Two decades beyond BRCA1/2: homologous recombination, hereditary cancer risk and a target for ovarian cancer therapy. Gynecol Oncol. 2015; 137: 343–50. [DOI] [PubMed] [Google Scholar]
  • 103. Tutt A, Robson M, Garber JE, et al Oral poly(ADP‐ribose) polymerase inhibitor olaparib in patients with BRCA1 or BRCA2 mutations and advanced breast cancer: a proof‐of‐concept trial. Lancet. 2010; 376: 235–44. [DOI] [PubMed] [Google Scholar]
  • 104. Forster MD, Dedes KJ, Sandhu S, et al Treatment with olaparib in a patient with PTEN‐deficient endometrioid endometrial cancer. Nat Rev Clin Oncol. 2011; 8: 302–6. [DOI] [PubMed] [Google Scholar]
  • 105. Sandhu SK, Schelman WR, Wilding G, et al The poly(ADP‐ribose) polymerase inhibitor niraparib (MK4827) in BRCA mutation carriers and patients with sporadic cancer: a phase 1 dose‐escalation trial. Lancet Oncol. 2013; 14: 882–92. [DOI] [PubMed] [Google Scholar]
  • 106. Lowery MA, Kelsen DP, Stadler ZK, et al An emerging entity: pancreatic adenocarcinoma associated with a known BRCA mutation: clinical descriptors, treatment implications, and future directions. Oncologist. 2011; 16: 1397–402. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107. Chalhoub N, Baker SJ. PTEN and the PI3‐kinase pathway in cancer. Annu Rev Pathol. 2009; 4: 127–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108. Mabuchi S, Kuroda H, Takahashi R, et al The PI3K/AKT/mTOR pathway as a therapeutic target in ovarian cancer. Gynecol Oncol. 2015; 137: 173–9. [DOI] [PubMed] [Google Scholar]
  • 109. Bai H, Li H, Li W, et al The PI3K/AKT/mTOR pathway is a potential predictor of distinct invasive and migratory capacities in human ovarian cancer cell lines. Oncotarget. 2015; 6: 25520–32. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110. Fu S, Hennessy BT, Ng CS, et al Perifosine plus docetaxel in patients with platinum and taxane resistant or refractory high‐grade epithelial ovarian cancer. Gynecol Oncol. 2012; 126: 47–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111. Behbakht K, Sill MW, Darcy KM, et al Phase II trial of the mTOR inhibitor, temsirolimus and evaluation of circulating tumor cells and tumor biomarkers in persistent and recurrent epithelial ovarian and primary peritoneal malignancies: a Gynecologic Oncology Group study. Gynecol Oncol. 2011; 123: 19–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112. Ushijima T, Asada K. Aberrant DNA methylation in contrast with mutations. Cancer Sci. 2010; 101: 300–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113. Santi DV, Norment A, Garrett CE. Covalent bond formation between a DNA‐cytosine methyltransferase and DNA containing 5‐azacytosine. Proc Natl Acad Sci USA. 1984; 81: 6993–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114. Plumb JA, Strathdee G, Sludden J, et al Reversal of drug resistance in human tumor xenografts by 2′‐deoxy‐5‐azacytidine‐induced demethylation of the hMLH1 gene promoter. Cancer Res. 2000; 60: 6039–44. [PubMed] [Google Scholar]
  • 115. Balch C, Yan P, Craft T, et al Antimitogenic and chemosensitizing effects of the methylation inhibitor zebularine in ovarian cancer. Mol Cancer Ther. 2005; 4: 1505–14. [DOI] [PubMed] [Google Scholar]
  • 116. Fu S, Hu W, Iyer R, et al Phase 1b‐2a study to reverse platinum resistance through use of a hypomethylating agent, azacitidine, in patients with platinum‐resistant or platinum‐refractory epithelial ovarian cancer. Cancer. 2011; 117: 1661–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117. Fang F, Balch C, Schilder J, et al A phase 1 and pharmacodynamic study of decitabine in combination with carboplatin in patients with recurrent, platinum‐resistant, epithelial ovarian cancer. Cancer. 2010; 116: 4043–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118. Dietrich CS 3rd, Greenberg VL, DeSimone CP, et al Suberoylanilide hydroxamic acid (SAHA) potentiates paclitaxel‐induced apoptosis in ovarian cancer cell lines. Gynecol Oncol. 2010; 116: 126–30. [DOI] [PubMed] [Google Scholar]
  • 119. Chen MY, Liao WS, Lu Z, et al Decitabine and suberoylanilide hydroxamic acid (SAHA) inhibit growth of ovarian cancer cell lines and xenografts while inducing expression of imprinted tumor suppressor genes, apoptosis, G2/M arrest, and autophagy. Cancer. 2011; 117: 4424–38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120. Wilson AJ, Lalani AS, Wass E, et al Romidepsin (FK228) combined with cisplatin stimulates DNA damage‐induced cell death in ovarian cancer. Gynecol Oncol. 2012; 127: 579–86. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121. Modesitt SC, Sill M, Hoffman JS, et al A phase II study of vorinostat in the treatment of persistent or recurrent epithelial ovarian or primary peritoneal carcinoma: a Gynecologic Oncology Group study. Gynecol Oncol. 2008; 109: 182–6. [DOI] [PubMed] [Google Scholar]
  • 122. Marsh DJ, Shah JS, Cole AJ. Histones and their modifications in ovarian cancer ‐ drivers of disease and therapeutic targets. Front Oncol. 2014; 4: 144. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123. Lin CT, Lai HC, Lee HY, et al Valproic acid resensitizes cisplatin‐resistant ovarian cancer cells. Cancer Sci. 2008; 99: 1218–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124. Shan Z, Feng‐Nian R, Jie G, et al Effects of valproic acid on proliferation, apoptosis, angiogenesis and metastasis of ovarian cancer in vitro and in vivo . Asian Pac J Cancer Prev. 2012; 13: 3977–82. [DOI] [PubMed] [Google Scholar]
  • 125. Qian X, LaRochelle WJ, Ara G, et al Activity of PXD101, a histone deacetylase inhibitor, in preclinical ovarian cancer studies. Mol Cancer Ther. 2006; 5: 2086–95. [DOI] [PubMed] [Google Scholar]
  • 126. Asadollahi R, Hyde CA, Zhong XY. Epigenetics of ovarian cancer: from the lab to the clinic. Gynecol Oncol. 2010; 118: 81–7. [DOI] [PubMed] [Google Scholar]
  • 127. Maradeo ME, Cairns P. Translational application of epigenetic alterations: ovarian cancer as a model. FEBS Lett. 2011; 585: 2112–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128. Wahid F, Shehzad A, Khan T, et al MicroRNAs: synthesis, mechanism, function, and recent clinical trials. Biochim Biophys Acta. 2010; 1803: 1231–43. [DOI] [PubMed] [Google Scholar]
  • 129. Seviour EG, Sehgal V, Lu Y, et al Functional proteomics identifies miRNAs to target a p27/Myc/phospho‐Rb signature in breast and ovarian cancer. Oncogene. 2016; 35: 691–701. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Journal of Cellular and Molecular Medicine are provided here courtesy of Blackwell Publishing

RESOURCES