Oncogenes in high grade serous adenocarcinoma of the ovary

Copyright: © 2020 Manasa et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

ABSTRACT

High grade serous ovarian cancer is characterized by relatively few mutations occurring at low frequency, except in TP53. However other genetic aberrations such as copy number variation alter numerous oncogenes and tumor suppressor genes. Oncogenes are positive regulators of tumorigenesis and play a critical role in cancer cell growth, proliferation, and survival. Accumulating evidence suggests that they are crucial for the development and the progression of high grade serous ovarian carcinoma (HGSOC). Though many oncogenes have been identified, no successful inhibitors targeting these molecules and their associated pathways are available. This review discusses oncogenes that have been identified recently in HGSOC using different screening strategies. All the genes discussed in this review have been functionally characterized both in vitro and in vivo and some of them are able to transform immortalized ovarian surface epithelial and fallopian tube cells upon overexpression. However, it is necessary to delineate the molecular pathways affected by these oncogenes for the development of therapeutic strategies.

INTRODUCTION

Ovarian cancer represents the most common cause of death globally due to gynecological cancer. In India, in the year 2012, approximately 26,834 women were diagnosed with ovarian cancer, of which 19,549 died [1]. Most of the patients are diagnosed at an advanced stage, resulting in reduced survival. The abdominal cavity, in particular, the peritoneum is the most common site of metastases. The current standard treatment for ovarian cancer is a combination of chemotherapy and surgery. Despite this, the five-year survival of patients with advanced stage has remained at around 30% [2]. Hence, there is a critical need for understanding the pathogenesis of the disease to identify additional therapeutic targets in ovarian cancer.

Ovarian cancer is a complex and heterogeneous disease. It is classified into epithelial tumors, sex cord-stromal tumors, and germ cell tumors based on morphology. More than 90% of ovarian tumors are epithelial in origin. Based on the histology and molecular alterations, the epithelial tumors are subdivided into four main subtypes: serous, endometrioid, clear cell, and mucinous. Among these subtypes, HGSOC is the most common contributing to 80% of mortality from ovarian cancer [3]. The precise cellular origin of HGSOC is unclear. Traditionally these tumors were proposed to arise from the ovarian surface epithelium (OSE) especially from the cortical inclusion cyst (CIC). This was supported by the ‘incessant ovulation’ hypothesis and through several genetically modified mouse models. However recent evidence demonstrates that HGSOC can also arise from the fimbrial epithelium of the fallopian tube. Identification of invasive lesions in the fimbriae of fallopian tubes from the prophylactic salpingo-oophorectomies of women at high risk of developing ovarian cancer due to germline mutations of BRCA1 and BRCA2 supported this hypothesis. Later, it was demonstrated that the precursor lesions, serous tubal intraepithelial carcinoma (STIC), were found in the fimbriae of women with sporadic HGSOC (21-59%) and with hereditary HGSOC (3-31%). These observations were confirmed using murine models, where fallopian tube epithelial (FTE) cells with different combinations of genetic mutations in TP53, BRCA1/2, PTEN, NF1, and RB1 when injected into the mouse, developed STIC and progressed to HGSOC. Besides, it was also shown that the FTE cells share molecular profiles similar to HGSOC, than OSE. However, the hypothesis that the origin of HGSOC from FTE cells has the following limitations. Though the presence of STIC was identified in a subset of tumors, the cell of origin in the remainder is elusive. Furthermore, the development of HGSOC even after salpingectomy has been observed both in mice as well as in patients [4]. Thus it is possible that both these sites may have the potential in causing HGSOC. This dualistic origin has been supported by a recent study that has demonstrated the development of HGSOC from both OSE and FTE cells. Tumors developed from both these sites differed in biological features such as latency, metastasis, gene expression, and response to the drugs [5]. Identifying the precise cell of origin is critical in early diagnosis, treatment, development of experimental models, and for identifying therapeutic targets.

In general, the number of genes that are mutated in sporadic HGSOC is low as compared to other tumor types. However, mutations in TP53 occur at nearly 100% frequency [6]. More than 59.1% of these mutations are missense [7], of which some of them were proven to be oncogenic and support tumorigenesis by promoting metastasis and resistance to chemotherapy drugs. Although mutations in the TP53 gene are prevalent, approaches to develop treatments have been thus far unsuccessful [8]. Mutations in other genes at a significant frequency are uncommon in HGSOC (except BRCA1 & BRCA2) to act as targets for developing drugs [9].

Complex genetic changes with frequent DNA gains and losses are more common in HGSOC than in other tumor types. This leads to the activation of hundreds of oncogenes through gain and amplification, and inactivation of tumor suppressor’s through the loss of heterozygosity and homozygous deletion. Hence, it is challenging to identify essential cancer driver genes from the regions of amplification and deletion [9]. Both tumor suppressor genes and oncogenes are involved in multistep tumorigenesis. However, oncogenes are of particular interest as some are druggable [10]. Increased expression of any gene may be due to point mutation, amplification, increased transcription, hypomethylation, or as a result of a biallelic expression of imprinted genes [11]. Down-regulation of tumor suppressor micro RNA’s could also lead to the high expression of oncogenes [12] (Figure 1). Among these different genetic alterations, amplification is the most common mechanism promoting oncogene activation in HGSOC. The frequency with which other mechanisms occur is not clear, but mutations in genes other than TP53 are less frequent (<5%) [9]. Numerous oncogenes have been implicated in the pathogenesis of HGSOC (Figure 2), however, only some of them have been well characterized both in vitro and in vivo. Table 1 summarizes all the oncogenes that have been identified thus far and validated to be involved in the pathogenesis. These are not discussed in this review as they have been discussed previously [13]. The relevance of amplification/overexpression of the individual gene in HGSOC has been addressed by correlating it with the outcome. The evaluation of the role of these genes in vitro and in vivo also documented (Table 1).

Comprehensive genomic and epigenomic analysis of hundreds of tumors by international consortiums such as TCGA [9] and ICGC [14] has also led to a substantial increase in the discovery of these oncogenes. The contribution of these new genes to the pathogenesis of HGSOC is still being explored, and some of them appear to be attractive therapeutic targets [15]. Given the number of putative oncogenes identified in HGSOC, only further experiments will establish their role in tumorigenesis. Many of the oncogenes were previously identified by conventional gene transformation assay in NIH3T3 cells [16]. However, considering improvements in technology, it is now possible to perform large scale screening of the whole genome by functional approaches. This review discusses only the role of recently identified oncogenes in HGSOC. We particularly focus on oncogenes that were identified using strategies such as high throughput and genomic screening which were validated both in vitro and in vivo.

Oncogenes identified by high-throughput functional screening

High-throughput functional assays are being widely used for discovering targets in cancer. This method permits the screening of hundreds of genes and identifies those that are important for a particular function. This is performed through gain of function studies i.e., through ectopic overexpression of selected genes using plasmids or by viral transduction into normal or cancer cell lines [17]. Besides, the role of the cancer-relevant genes can also be identified by perturbing the function of genes by small molecules such as chemical inhibitors, antibodies, RNA interference, or by CRISPR [18]. However, in both approaches, different assays are required to determine the effect of a particular gene. We discuss oncogenes identified using these approaches.

PAX8 – Paired Box Gene 8 (2q14.1)

PAX8 is a nuclear transcription factor that belongs to the PAX (1-9) family of genes. It was initially discovered as one of the genes that are expressed and required for the development of thyroid. Later it was identified to play an essential role in the development of many organs, including Mullerian duct maturity which leads to the formation of the female genital tract. Hence homozygous deletion of this gene causes infertility in mice. Both PAX2 and PAX8 are necessary for the development of the fallopian tube [19]. Several studies have demonstrated that PAX8 is mainly expressed in the fallopian tube secretory epithelial cells (FTSEC), but absent in human ovarian surface epithelial cells (HOSE) [20] and mouse ovarian surface epithelial cells (MOSE) [21]. In contrast, others have shown that PAX8 is expressed both at the mRNA level (71%) and protein level (33%) in normal ovarian surface epithelium (OSE) [22]. Increased expression of PAX8 was also observed in cortical inclusion cysts and abnormal ovarian surface epithelial growths of the ovary [23]. Induced expression of PAX8 could not cause any malignant changes in transformed human OSE cells (expressing hTERT &c-MYC) [22]. In contrast, transfection of this gene in MOSE cells (transformed with myrAKT and PTEN deletion) resulted in high expression of FOXM1 and EMT markers causing increased cell proliferation and motility respectively but, failed to induce tumors [21]. Induced expression of PAX8 in these cells is alone not sufficient for promoting tumorigenesis.

High throughput shRNA screen performed by Project Achilles identified PAX8 as one of the potential oncogenes from 11,194 genes, which is necessary for the proliferation and survival of ovarian cancer cell lines (n = 25). PAX8 was overexpressed in the majority of the ovarian cancer cell lines. In HGSOC, this gene is amplified in 16% of patients [24] and the high expression of this gene is correlated with advanced tumor stage and decreased survival [25]. Knockdown of PAX8 in ovarian cancer cells with amplification or overexpression of this gene resulted in reduced viability, but not in cell lines without any alterations of this gene [24]. Silencing of PAX8 resulted in decreased migration, invasion, anchorage-independent growth, tumor formation, induced G1 arrest, and apoptosis in ovarian cancer cells. The molecular mechanism by which PAX8 promotes ovarian tumorigenesis is not completely understood. The current view is that PAX8 could directly bind to the promoter of mutant TP53 (missense mutation) in HGSOC cells and regulate its expression. Consequently, this results in overexpression and cytoplasmic translocation of the TP53 target gene p21 resulting in increased proliferation of HGSOC cells [19]. Cytoplasmic p21 has been proven to function as an oncogene by promoting the expression of anti-apoptotic genes and inhibiting pro-apoptotic genes [26]. Transfection of PAX8 into MOSE cells upregulates the expression of EMT markers via FOXM1 [21], a candidate oncogene in HGSOC (network altered in 84% of tumors) [9]. FOXM1 has been shown to promote the expression of EMT genes by binding to the promoter region in other tumor types [27]. PAX8 was shown to directly bind to the promoter regions of transcription factor E2F1 [19] and FGF18 promoting proliferation and migration respectively [28]. Both chromatin immunoprecipitation and expression analysis have identified that numerous oncogenes are regulated by PAX8 in HGSOC [19]. Although there are no PAX8-specific inhibitors, HDAC inhibitors (panobinostat & romidespin) were recently shown to effectively disrupt the expression and function of PAX8 both in vitro and in vivo [28]. Thus PAX8 seems to be an attractive target to develop drugs. In addition, the expression of PAX8 and PAX2 could be used to identify tumors of Mullerian origin [19].

ID4 – Inhibitor of DNA binding 4 (6p22.3)

ID4 is a transcriptional regulator that contains the helix loop helix (HLH) domain. It interacts with basic helix loop helix (BHLH) domain-containing transcription factors inhibiting their binding to DNA. ID4 is necessary for the development of many organs, especially the ovaries. Mice lacking ID4 has increased secondary and antral follicles, altered ovary shape, decreased uterine weights, and estrogen synthesis [29]. The function of ID4 in different tumor types remains controversial. Increased hypermethylation and downregulation of this gene are associated with poor progression-free or overall survival in colon cancer [30], breast cancer [31], CLL [32], AML [33]. Whereas in glioblastoma and Estrogen Receptor (ER-) breast cancer ID4 was overexpressed [34].

An initial clue to the involvement of ID4 in ovarian cancer was documented through an inverse genomics study that identifies the function of a gene based on the phenotype observed upon altering the gene. This screen employed ribozymes to identify genes that regulate the expression of BRCA1. ID4 was identified as a negative regulator of the BRCA1 gene in PA-1 cells. Induced expression of ID4 in PA-1 cells promoted anchorage-independent growth [35]. Subsequently, ID4 was recognized as necessary for the proliferation and survival of ovarian cancer cells using data from Project Achilles. ID4 is amplified in 32% of 489 HGSOC tumors and is overexpressed in ovarian cancer cell lines and tumors, but is not expressed in normal ovary and fallopian tube [36]. Genetic alterations in this gene do not correlate with the survival of patients [7]. Silencing of ID4 in ovarian cancer cells reduced proliferation by inducing apoptosis. Induced expression of ID4 in immortalized ovarian surface epithelial cells (IOSE-M, expressing SV40 large T & small t antigens, hTERT, and MEK^DD) resulted in increased colony formation and tumor growth in mice. In contrast, overexpression of ID4 in FTSEC-M cells caused only increased colony formation. The HLH domain of ID4 is necessary for the interaction with other oncogenes as mutations in this domain failed to induce tumors. Other members of the ID family (ID1-3) were unable to confer malignant changes upon overexpression. Ectopic transfection of ID4 in IOSE-M cells resulted in increased expression of HOXA family of genes [36], which are known for promoting HGSOC [37]. Silencing of HOXA9 in ID4 overexpressing IOSE-M cells resulted in inhibition of anchorage-independent growth, and tumor formation, but had a moderate effect on cell proliferation. These results suggest that HOXA9 is required for ID4 induced malignant transformation. Analysis of the TCGA HGSOC dataset demonstrated that patients with amplification of ID4 had high expression of genes that were downregulated by Tp53 & p21 [36]. These studies demonstrated the critical role of ID4 in HGSOC by negatively regulating the expression of BRCA1 and its ability to induce transformation in immortalized OSE cells [35, 36].

Mutant TP53 protein (R175H) has been shown to bind to the promoter of ID4 upon DNA damage in breast cancer cells [29]. It is worthwhile to analyze whether this mechanism occurs in HGSOC since 59.1% of patients have missense mutations in the TP53 gene [7].

GAB2 - GRB2 associated binding protein 2 (11q14.1)

GAB2 functions as an adaptor molecule and is crucial for mediating protein-protein interactions. It functions downstream of the signaling pathway of RTK. It is considered as a key component in PI3K-AKT & ERK signaling pathways. Somatic amplification and overexpression of GAB2 have been noted in different tumor types [38].

GAB2 is frequently amplified in ovarian cancer and is mostly correlated with serous histology type [39]. According to the TCGA analysis, GAB2 is amplified in 44% of HGSOC tumors [40]. High expression of GAB2 correlates with better progression-free and overall survival in these patients, which is an unusual property for an oncogene [41]. GAB2 is upregulated in ovarian cancer cell lines compared to the ovary and HOSE cells. It promotes migration and invasion in ovarian cancer cells by enhancing the expression of EMT marker ZEB1 through activation of the PI3K pathway [42].

In addition to the above findings, the function of GAB2 in the pathogenesis of HGSOC was revealed by two large studies. A high-throughput siRNA loss of function screening assay, targeting 272 amplified genes in HGSOC and endometrioid ovarian tumor cell lines, identified GAB2 as being critically required for cell survival [43]. Further, the role of GAB2 in HGSOC was also identified by multiplexed stringent in vivo transformation screen. Genes amplified in HGSOC (n = 455) were transduced into immortalized HA1E-M cells and implanted in immunodeficient mice. Cells induced with GAB2 formed more tumors compared to other genes. Overexpression of GAB2 in immortalized cells (HA1E-M and IOSE) induced tumor formation, but in FTSEC it increased the number of colonies [40].

Knockdown of GAB2 resulted in reduced cell proliferation [40, 44], ascites induced cell migration [45], tumor growth, and formation of blood vessels. GAB2 mediates angiogenesis via overexpression of chemokines such as CXCL1, CXCL2 & CXCL8 that are dependent on the IKKβ pathway [44]. GAB2 performs all these various oncogenic functions by mediating PI3K/AKT1/mTOR, MAPK, and IKKβ pathways in tumor cells that harbor GAB2 alteration [40, 44]. Therefore GAB2 overexpressing tumors are more sensitive to inhibition by PI3K and mTOR inhibitors in conjunction with inhibitors of IKKβ in preclinical models [44]. The functional screens illustrate how GAB2 was proven to be an oncogene in HGSOC.

BRD4 – Bromodomain 4 (19p13.12)

BRD4, a chromatin reader binds to acetylated histones which are transcribed and also to non-histone proteins. It also functions as a scaffold protein and transcription factor. BRD4 was initially found to be involved in the translocation t(15;19)(q13, p13.1) with the nuclear protein testis (NUT) gene in midline carcinomas. Following this report, BRD4 was demonstrated as an oncogene in many tumor types [46].

An invivo shRNA screen in OVCAR-8 cells directed against 800 druggable genes identified 40 genes that are crucial for survival, proliferation, and tumorigenicity in immune-compromised mice. BRD4 was identified as one of the essential genes and was evaluated in the pathogenesis of HGSOC as it could also be targeted by the inhibitor JQ1. JQ1 affects the binding of BRD4 to nuclear chromatin thereby influencing the transcription of many genes. Treatment with JQ1 effectively abrogated the growth of tumors in ovarian PDX models (patient-derived xenograft) overexpressing MYCN & c-Myc at high levels [15]. In contrast, another study showed that the treatment of ovarian cancer cell line (OVTOKO) with JQ1 for 24 hrs caused significant downregulation of FOXM1 and its transcriptional targets such as AURKB, Survivin CCNB1, and PLK1, whereas c-Myc was only transiently inhibited [47]. Silencing of BRD4 with shRNA or JQ1 in primary ovarian cancer cells led to reduced proliferation, colony formation [15, 47-49] cell cycle arrest at G0/G1, and suppressed tumor growth invivo [47, 49].

Recent evidence suggests that BRD4 could also contribute to the pathogenesis by regulating the transcription of genes relevant to cancer stem cells such as ALDH1A1, LIF, HES1, and WNT5A [50]. Further, BRD4 also interacts with immune checkpoint proteins such as PD-L1. Ovarian tumors with high expression of BRD4 are positively correlated with elevated expression of PD-L1. BRD4 was shown to bind directly to the PD-L1 gene and promotes its transcription. In murine xenograft, treatment with JQ1 significantly reduced the expression of PD-L1 on tumor and immune cells [51].

Although treatment of BRD4 overexpressing tumors with BET inhibitors was shown to suppress the growth, yet, some of the cancer cells develop resistance eventually through different mechanisms. Gene expression analysis of chronic JQ1 treated cells or resistant cells has identified the upregulation of numerous oncogenes. This includes EGR1, FOS, FGFR1-4, IGF1R, EGF1R, PRKCA, JAK1-3, EPHB3, ACVR1, ACVR2, TGFBR1, and CK1γ1. Hence, co-targeting the BRD4 overexpressing cells with BET and PI3K /AKT/MEK/ ERK/ /mTOR inhibitors have been shown to affect cell proliferation, survival, and tumor growth significantly through activation of apoptosis compared to JQ1 alone [48, 49]. Further, combined treatment using JQ1 and cisplatin suppressed the expression of ALDH1A1 and tumor growth efficiently in xenograft [50].

BRD4 is amplified in 19% of 599 HGSOC tumors and is associated with worse overall and progression-free survival [15]. Additionally, copy number analysis of tumors that lack BRCA is found to have amplification of the BRD4 gene. Hence BRD4 could serve as a target for these patients [52]. Silencing of BRD4 also increased the sensitivity of the tumor cells to CHEK1 [53] and PARP inhibitors [54]. Taken together, these studies suggest that aberrant expression of BRD4 promotes ovarian cancer progression and also immune evasion through increased PD-L1 expression. Several inhibitors of BRD4 proteins are being developed and many are in clinical trials for different tumor types. AZD-513 is a novel selective BET bromodomain inhibitor that recently entered phase I clinical trial for evaluation in ovarian tumors. Unlike JQ1, which binds monovalently to the protein, AZD-5153 binds in the bivalent mode. This results in a stronger displacement of the BRD4 from the chromatin at the lowest concentration of the inhibitor. Preclinically this drug has shown to be effective in BRD4 amplified HGSOC-PDX models [55].

KPNB1 – Karyopherin beta-1 (17q21.32)

KPNB1 also known as importin beta is highly expressed during embryogenesis [56]. It functions primarily as a transporter of molecules with a nuclear localization signal (NLS) from the cytoplasm to the nucleus through the nuclear pore complex. KPNB1 associated with karyopherin alpha 2 (KPNA2) which together binds to the target molecule [57]. Some of the target genes of KPNB1 for nuclear localization are Cyclin E, Cyclin B1 [58], STAT3, NF-κB, Gli1, ERBB2, EGFR, C-Met, Death receptor 5 [59] Snail, Cathepsin L and Cux1 [60]. In addition, KPNB1 is also necessary for various cellular processes such as mitotic spindle assembly, nuclear pore, and nuclear membrane formation [61]. Overexpression of KPNB1 has been implicated in many tumor types and is associated with poor survival in patients with GBM [59] gastric cancer [62], and B cell lymphoma [63]. High expression of KPNA2, but not KPNB1 is associated with poor prognosis in patients with ovarian cancer [64, 65]. Analysis of the TCGA HGSOC dataset using cBioPortal shows that KPNB1 is not amplified at a higher frequency in these patients (8% out of 316 cases) [7], hence requires validation in a different cohort of patients.

KPNB1 was identified as an oncogene in ovarian cancer through an invivo shRNA screen. This screen was performed to identify novel druggable genes that were essential for tumor formation in ovarian cancer. In this study, shRNAs against 7490 genes were transduced into ovarian cancer cells and injected into mice. Sequencing for shRNAs that were depleted in the tumors, identified numerous essential genes. Additionally, a second CRISPR screen could also recapitulate the results from the shRNA screen. KPNB1, the second hit in these screens was evaluated further [65].

Functional experiments revealed that the silencing of KPNB1 resulted in cell cycle arrest since it modulates the expression of APC/C members (multiple anaphase-promoting complexes). Knockdown of KPNB1 reduced cell proliferation, tumor growth, and the number of tumor nodules in mice. The expression of tumor suppressor’s p21, p27, Bax and cleaved caspase-3 were marginally increased upon silencing KPNB1. The converse results were obtained when KPNB1 was overexpressed in ovarian cancer cells. Usage of two different importin inhibitors importazole and ivermectin prevented ovarian cancer cell proliferation in a dose-dependent manner. Ivermectin, an FDA approved anti-parasitic drug that blocks importin alpha/beta-induced multiphase cell cycle arrest and apoptosis in ovarian cancer cell lines. The expression of cell cycle and apoptosis-related genes were up-regulated following ivermectin treatment. Combination treatment with paclitaxel significantly decreased tumor growth and increased the expression of caspase 3/7 in comparison to the effect of the single-agent [65]. This study had proposed that the use of ivermectin along with chemotherapy drugs might provide better results. However, further research is necessary to identify whether KPNB1 mediates its effect through promoting nuclear transport of various oncogenes. Another uncertainty is that it is unclear what these inhibitors target, either KPNB1 alone or the other importin genes [66].

Oncogenes identified by genomic approaches

The ability to perform the whole genome or exome sequencing of tumors by next-generation sequencing has contributed enormously to the identification of mutations in many genes. In addition, evaluation of other genetic aberrations such as copy number variations, methylation, mRNA and miRNA expression through different platforms has led to an exponential increase in the identification of several relevant genes in HGSOC where mutations are infrequent. By integrating these alterations with gene expression many driver genes were identified [9]. Two genes, LMX1b [67] and BCAT1 [68] identified recently through this approach.

LMX1B- LIM homeobox transcription factor 1 beta (9q33.3)

Several genes that are critical for embryogenesis or normal development were identified as aberrantly expressed in many tumor types [69]. LMX1B is one among those whose oncogenic function has been identified in HGSOC [67]. This gene belongs to the LIM homeodomain-containing protein family that is critically required during body patterning and development of different organs. Haploinsufficiency of LMX1B causes a genetic abnormality known as Nail patella syndrome in humans. LMX1A (a member of LIM family) has shown to be expressed and required for the development ovarian stem cell niche of drosophila. Induced expression of LXM1B could rescue the signature of LMX1A loss-of-function. Thus both these genes could play a role in the development of ovary [70]. The role of LMX1B has not been thoroughly evaluated in any tumor type. Two studies have identified that this gene is methylated in prostate cancer [71] and leukemia [72]. However, there is no experimental evidence showing that this gene is downregulated and could function as a tumor suppressor gene in these tumor types. Comparative genomic hybridization analysis of mouse ovarian cancer cell lines (n = 10) that are deficient for TP53 or BRCA1 showed gain and amplification of chromosome 9q33.3 centered on the single gene LMX1B. High expression of LMX1B at mRNA levels was observed in 46% of (7/15) human ovarian cancer cell lines compared to normal OSE cell line T29. Increased expression of this gene was observed in primary tumors at both RNA and protein levels. High expression of LMX1B was associated with decreased overall survival in patients with ovarian cancer [67].

Functional studies revealed that the induced expression of LMX1B in both mouse and human ovarian cancer cell lines markedly increased the migration of the cells. However, there was no change in cell proliferation and colony formation ability. Mice injected with LMX1B overexpressing ovarian cancer cells promoted tumor formation. The converse results were observed when cells expressing LMX1B were silenced with shRNA. The overexpression of LMX1B in ovarian cancer cell lines increases the expression of NF-kB pathway members. Treatment of LMX1B overexpressing cells with NF-kB inhibitor resulted in decreased migratory ability [67]. Hence NF-kB pathway inhibitors might potentially affect LMX1B function in promoting ovarian cancer, which needs to be thoroughly evaluated.

BCAT1-Branched Chain Amino acid Transaminase 1, cytosolic (12p12.1)

BCAT1 gene encodes for a cytosolic aminotransferase enzyme that is involved in the catabolism of essential branched amino acids [73]. BCAT1 was first identified to be amplified and overexpressed in undifferentiated mouse teratoma cell lines and was downregulated upon differentiation. c-Myc was found to transcriptionally regulate the expression of this gene via binding to its recognition sequences [74]. Several independent groups have demonstrated the role of BCAT1 in tumorigenesis. Overexpression of BCAT1 has shown to be associated with poor survival in patients with myeloid leukemia, GBM [73] colon [74], hepatocellular [75], urothelial [76], breast [77] and gastric cancer [78]. Notably, an increase in resistance to chemotherapeutic drugs was observed in tumors with high expression of BCAT1 [75, 77]. According to the TCGA data, BCAT1 is amplified in 16% of HGSOC’s and alterations in this gene do not correlate with the survival of patients [7].

In ovarian cancer, BCAT1 was first reported to be up-regulated in chemoresistant epithelial ovarian tumors, however, the mechanism of drug resistance was not identified [79]. Through a comprehensive methylation analysis between normal ovary, low grade, and HGSOC tumors, BCAT1 was identified as significantly hypomethylated in these tumors correlating with higher expression in tumors compared to the normal ovary. As observed in other tumor types, BCAT1 was shown to be regulated by c-Myc in ovarian cancer cells [68]. Silencing of BCAT1 arrested cells at S phase, significantly affected cell proliferation, colony formation, migration, invasive ability of ovarian cancer cells. However, there was no change in sensitivity to chemotherapeutic drugs [25]. Injection of BCAT1 silenced cells did not affect tumor size and volume of the ascites compared to the control. Only an increase in survival was observed in mice injected with BCAT1 silenced cells [68].

Microarray analysis of BCAT1 silenced cells demonstrated the downregulation of numerous genes involved in cell growth, proliferation, metabolism, and transcription. Since BCAT1 has a critical role in regulating metabolism, knockdown of this gene suppressed major metabolites like glycerophospholipids, sphingolipids, and genes involved in lipid metabolism, protein biosynthesis, of which IDH1/2, sulfotransferases and also-keto reductases AKR1C1, AKR1C2, AKR1C3 are known to be involved in tumorigenesis [68]. Other than hypomethylation, BCAT1 was identified as somatically amplified and overexpressed in ovarian cancer cell lines with high invasive and migratory ability [80].

These studies have shown the relevance of BCAT1 in the progression of HGSOC through altered metabolism. Silencing of BCAT1 in cells has not shown tumor regression of xenograft. The amplicon 12p12.1 contains six genes other than BCAT1 (KRAS, LRMP, CASC1, LYRM5, and IFLTD1 and C12orf77), of which KRAS is a known cancer gene [81]. Since the silencing of BCAT1 alone couldn’t suppress the tumor growth, the co-amplified genes might play a role in supporting tumorigenesis which needs further validation. This is an issue with both focal and arm level amplification of any chromosome. Unless all the genes that are mapped within an amplicon are analyzed it is difficult to attribute the contribution to one gene.

DISCUSSION

Despite considerable effort to identify druggable driver genes in HGSOC, the yield thus far has been disappointing. This is partly due to the absence of a significant frequency of mutations in any gene other than TP53. To prove that any gene that is altered is involved in the pathogenesis of cancer requires a multi-pronged experimental approach. Dominantly acting genes or oncogenes are more likely to be involved if they are mutated at a significant frequency and if these alter its function. A classical example is the RAS oncogene which is mutated in 30% of tumors [82]. It is also necessary to prove conclusively that the gene is necessary for the initiation and sustaining of malignant transformation. If the putative oncogene is not mutated but amplified or over-expressed, then the level of proof that is required is of an order higher. CCNE1 is an example of an amplified oncogene in ovarian tumors [9]. The initial experiments to prove that a gene is involved in the pathogenesis should be by overexpressing the gene stably in normal ovarian surface or fallopian tube epithelial cells and then assess the effect on phenotype. This should evaluate the effect of overexpression on proliferation, anchorage, adhesion, apoptosis, migration, and invasion. Stable inducible expression of the gene is more stringent in interpreting these assays. Assuming that the gene is over-expressed or amplified at a sufficient level in ovarian cancer cell lines, knockdown experiments using CRISPR can be performed in them. The standard assay for tumourigenicity is to evaluate the ability of the putative oncogene to transform cells in nude mice. For any oncogene to be considered significant, its expression has to be evaluated in human tumor samples and correlated with outcome. For example, the expression of ERBB2 correlates adversely with outcome in breast cancer [83] It is now possible to address this issue immediately by examining the TCGA data initially and then confirming the results in a separate dataset. If a potential drug is available to inhibit the function of the putative oncogene it adds to the overall evidence. For example, BRD4 described in this review fulfills most of these criteria. However, with an increased understanding of the evolution and plasticity of the tumor genome, it is possible that what is the most relevant gene in a tumor at presentation may not be when it recurs in a patient. It is difficult to model this in vitro other than to evaluate the contribution of the putative oncogene in murine transplantation experiments. The recent approaches by large scale functional or sequencing approaches have identified various potential targets that are druggable and will help develop new approaches to treatment.

Abbreviations

HGSOC: High Grade Serous Ovarian Carcinomas; OSE: Ovarian Surface Epithelium; CIC: Cortical Inclusion Cyst; TCGA: The Cancer Genome Atlas; ICGC: International Cancer Genome Consortium; CRISPR: Clustered Regularly –Interspaced Short Palindromic Repeats; siRNA: small interfering Ribo Nucleic Acid; shRNA: short hairpin RiboNucleic Acid; HOSE: Human Ovarian Surface Epithelium; FTE: Fallopian Tube Epithelium; FTSEC: Fallopian Tube Secretory Epithelial Cells; MOSE: Mouse Ovarian Surface Epithelium; IOSE: Immortalized Ovarian Surface Epithelium; PARP: Poly (ADP-ribose) Polymerase; RTK: Receptor Tyrosine Kinase; EMT: Epithelial-Mesenchymal Transition.

Author Contributions

Manasa.P; Data curation & writing, C.Sidhanth; review editing, S.Krishnapriya & S.Vasudevan; provided feedback, and T.S.Ganesan; critical revision & final approval.

ACKNOWLEDGMENTS

We would like to acknowledge the Department of Science and Technology-INSPIRE, Indian Council of Medical Research (ICMR), and Department of Biotechnology (DBT) New Delhi, India for financial support.

CONFLICT OF INTEREST

The authors report no conflicts of interest.

• 1. Razi S, Ghoncheh M, Mohammadian-Hafshejani A, Aziznejhad H, Mohammadian M, Salehiniya H. The incidence and mortality of ovarian cancer and their relationship with the Human Development Index in Asia. Ecancermedicalscience. 2016; 10:628. https://doi.org/10.3332/ecancer.2016.628. [PubMed]
• 2. Lengyel E. Ovarian cancer development and metastasis. Am J Pathol. 2010; 177:1053–64. https://doi.org/10.2353/ajpath.2010.100105. [PubMed]
• 3. Lisio MA, Fu L, Goyeneche A, Gao ZH, Telleria C. High-Grade Serous Ovarian Cancer: Basic Sciences, Clinical and Therapeutic Standpoints. Int J Mol Sci. 2019; 20:E952. https://doi.org/10.3390/ijms20040952. [PubMed]
• 4. Kim J, Park EY, Kim O, Schilder JM, Coffey DM, Cho CH, Bast RC Jr. Cell Origins of High-Grade Serous Ovarian Cancer. Cancers (Basel). 2018; 10:E433. https://doi.org/10.3390/cancers10110433. [PubMed]
• 5. Zhang S, Dolgalev I, Zhang T, Ran H, Levine DA, Neel BG. Both fallopian tube and ovarian surface epithelium are cells-of-origin for high-grade serous ovarian carcinoma. Nat Commun. 2019; 10:5367. https://doi.org/10.1038/s41467-019-13116-2. [PubMed]
• 6. Vang R, Levine DA, Soslow RA, Zaloudek C, Shih IM, Kurman RJ. Molecular Alterations of TP53 are a Defining Feature of Ovarian High-Grade Serous Carcinoma: A Rereview of Cases Lacking TP53 Mutations in The Cancer Genome Atlas Ovarian Study. Int J Gynecol Pathol. 2016; 35:48–55. https://doi.org/10.1097/PGP.0000000000000207. [PubMed]
• 7. Gao J, Aksoy BA, Dogrusoz U, Dresdner G, Gross B, Sumer SO, Sun Y, Jacobsen A, Sinha R, Larsson E, Cerami E, Sander C, Schultz N. Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Sci Signal. 2013; 6:pl1. https://doi.org/10.1126/scisignal.2004088. [PubMed]
• 8. Silwal-Pandit L, Langerød A, Børresen-Dale AL. TP53 Mutations in Breast and Ovarian Cancer. Cold Spring Harb Perspect Med. 2017; 7:a026252. https://doi.org/10.1101/cshperspect.a026252. [PubMed]
• 9. Cancer Genome Atlas Research N. Integrated genomic analyses of ovarian carcinoma. Nature. 2011; 474:609–15. https://doi.org/10.1038/nature10166.
• 10. Dang CV, Reddy EP, Shokat KM, Soucek L. Drugging the ‘undruggable’ cancer targets. Nat Rev Cancer. 2017; 17:502–08. https://doi.org/10.1038/nrc.2017.36. [PubMed]
• 11. Sadikovic B, Al-Romaih K, Squire JA, Zielenska M. Cause and consequences of genetic and epigenetic alterations in human cancer. Curr Genomics. 2008; 9:394–408. https://doi.org/10.2174/138920208785699580. [PubMed]
• 12. Zhang B, Pan X, Cobb GP, Anderson TA. microRNAs as oncogenes and tumor suppressors. Dev Biol. 2007; 302:1–12. https://doi.org/10.1016/j.ydbio.2006.08.028. [PubMed]
• 13. Bast RC Jr, Hennessy B, Mills GB. The biology of ovarian cancer: new opportunities for translation. Nat Rev Cancer. 2009; 9:415–28. https://doi.org/10.1038/nrc2644. [PubMed]
• 14. Hudson TJ, Anderson W, Artez A, Barker AD, Bell C, Bernabé RR, Bhan MK, Calvo F, Eerola I, Gerhard DS, Guttmacher A, Guyer M, Hemsley FM, et al, and International Cancer Genome Consortium. International network of cancer genome projects. Nature. 2010; 464:993–98. https://doi.org/10.1038/nature08987. [PubMed]
• 15. Baratta MG, Schinzel AC, Zwang Y, Bandopadhayay P, Bowman-Colin C, Kutt J, Curtis J, Piao H, Wong LC, Kung AL, Beroukhim R, Bradner JE, Drapkin R, et al. An in-tumor genetic screen reveals that the BET bromodomain protein, BRD4, is a potential therapeutic target in ovarian carcinoma. Proc Natl Acad Sci USA. 2015; 112:232–37. https://doi.org/10.1073/pnas.1422165112. [PubMed]
• 16. Cooper GM. Cellular transforming genes. Science. 1982; 217:801–06. https://doi.org/10.1126/science.6285471. [PubMed]/a>
• 17. Mali S. Delivery systems for gene therapy. Indian J Hum Genet. 2013; 19:3–8. https://doi.org/10.4103/0971-6866.112870. [PubMed]
• 18. Haussecker D. Stacking up CRISPR against RNAi for therapeutic gene inhibition. FEBS J. 2016; 283:3249–60. https://doi.org/10.1111/febs.13742. [PubMed]
• 19. Hardy LR, Salvi A, Burdette JE. UnPAXing the Divergent Roles of PAX2 and PAX8 in High-Grade Serous Ovarian Cancer. Cancers (Basel). 2018; 10:E262. https://doi.org/10.3390/cancers10080262. [PubMed]
• 20. Perets R, Wyant GA, Muto KW, Bijron JG, Poole BB, Chin KT, Chen JY, Ohman AW, Stepule CD, Kwak S, Karst AM, Hirsch MS, Setlur SR, 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. https://doi.org/10.1016/j.ccr.2013.10.013. [PubMed]
• 21. Rodgers LH, Ó hAinmhire E, Young AN, Burdette JE. Loss of PAX8 in high-grade serous ovarian cancer reduces cell survival despite unique modes of action in the fallopian tube and ovarian surface epithelium. Oncotarget. 2016; 7:32785–95. https://doi.org/10.18632/oncotarget.9051. [PubMed]
• 22. Adler E, Mhawech-Fauceglia P, Gayther SA, Lawrenson K. PAX8 expression in ovarian surface epithelial cells. Hum Pathol. 2015; 46:948–56. https://doi.org/10.1016/j.humpath.2015.03.017. [PubMed]
• 23. Bajwa P, Nagendra PB, Nielsen S, Sahoo SS, Bielanowicz A, Lombard JM, Wilkinson JE, Miller RA, Tanwar PS. Age related increase in mTOR activity contributes to the pathological changes in ovarian surface epithelium. Oncotarget. 2016; 7:19214–27. https://doi.org/10.18632/oncotarget.8468. [PubMed]
• 24. Cheung HW, Cowley GS, Weir BA, Boehm JS, Rusin S, Scott JA, East A, Ali LD, Lizotte PH, Wong TC, Jiang G, Hsiao J, Mermel CH, et al. Systematic investigation of genetic vulnerabilities across cancer cell lines reveals lineage-specific dependencies in ovarian cancer. Proc Natl Acad Sci USA. 2011; 108:12372–77. https://doi.org/10.1073/pnas.1109363108. [PubMed]
• 25. Chai HJ, Ren Q, Fan Q, Ye L, Du GY, Du HW, Xu W, Li Y, Zhang L, Cheng ZP. PAX8 is a potential marker for the diagnosis of primary epithelial ovarian cancer. Oncol Lett. 2017; 14:5871–75. https://doi.org/10.3892/ol.2017.6949. [PubMed]
• 26. Abbas T, Dutta A. p21 in cancer: intricate networks and multiple activities. Nat Rev Cancer. 2009; 9:400–14. https://doi.org/10.1038/nrc2657. [PubMed]
• 27. Yu CP, Yu S, Shi L, Wang S, Li ZX, Wang YH, Sun CJ, Liang J. FoxM1 promotes epithelial-mesenchymal transition of hepatocellular carcinoma by targeting Snai1. Mol Med Rep. 2017; 16:5181–88. https://doi.org/10.3892/mmr.2017.7223. [PubMed]
• 28. Shi K, Yin X, Cai MC, Yan Y, Jia C, Ma P, Zhang S, Zhang Z, Gu Z, Zhang M, Di W, Zhuang G. PAX8 regulon in human ovarian cancer links lineage dependency with epigenetic vulnerability to HDAC inhibitors. eLife. 2019; 8:e44306. https://doi.org/10.7554/eLife.44306. [PubMed]
• 29. Patel D, Morton DJ, Carey J, Havrda MC, Chaudhary J. Inhibitor of differentiation 4 (ID4): from development to cancer. Biochim Biophys Acta. 2015; 1855:92–103. https://doi.org/10.1016/j.bbcan.2014.12.002. [PubMed]
• 30. Umetani N, Takeuchi H, Fujimoto A, Shinozaki M, Bilchik AJ, Hoon DS. Epigenetic inactivation of ID4 in colorectal carcinomas correlates with poor differentiation and unfavorable prognosis. Clin Cancer Res. 2004; 10:7475–83. https://doi.org/10.1158/1078-0432.CCR-04-0689. [PubMed]
• 31. Noetzel E, Veeck J, Niederacher D, Galm O, Horn F, Hartmann A, Knüchel R, Dahl E. Promoter methylation-associated loss of ID4 expression is a marker of tumour recurrence in human breast cancer. BMC Cancer. 2008; 8:154. https://doi.org/10.1186/1471-2407-8-154. [PubMed]
• 32. Chen SS, Claus R, Lucas DM, Yu L, Qian J, Ruppert AS, West DA, Williams KE, Johnson AJ, Sablitzky F, Plass C, Byrd JC. Silencing of the inhibitor of DNA binding protein 4 (ID4) contributes to the pathogenesis of mouse and human CLL. Blood. 2011; 117:862–71. https://doi.org/10.1182/blood-2010-05-284638. [PubMed]
• 33. Zhou JD, Zhang TJ, Li XX, Ma JC, Guo H, Wen XM, Zhang W, Yang L, Yan Y, Lin J, Qian J. Epigenetic dysregulation of ID4 predicts disease progression and treatment outcome in myeloid malignancies. J Cell Mol Med. 2017; 21:1468–81. https://doi.org/10.1111/jcmm.13073. [PubMed]
• 34. Dell’Orso S, Ganci F, Strano S, Blandino G, Fontemaggi G. ID4: a new player in the cancer arena. Oncotarget. 2010; 1:48–58. https://doi.org/10.18632/oncotarget.108. [PubMed]
• 35. Beger C, Pierce LN, Kruger M, Marcusson EG, Robbins JM, Welcsh P, Welch PJ, Welte K, King MC, Barber JR, Wong-Staal F. Identification of Id4 as a regulator of BRCA1 expression by using a ribozyme-library-based inverse genomics approach. Proc Natl Acad Sci USA. 2001; 98:130–35. https://doi.org/10.1073/pnas.98.1.130. [PubMed]
• 36. Ren Y, Cheung HW, von Maltzhan G, Agrawal A, Cowley GS, Weir BA, Boehm JS, Tamayo P, Karst AM, Liu JF, Hirsch MS, Mesirov JP, Drapkin R, et al. Targeted tumor-penetrating siRNA nanocomplexes for credentialing the ovarian cancer oncogene ID4. Sci Transl Med. 2012; 4:147ra112. https://doi.org/10.1126/scitranslmed.3003778. [PubMed]
• 37. Kelly ZL, Michael A, Butler-Manuel S, Pandha HS, Morgan RG. HOX genes in ovarian cancer. J Ovarian Res. 2011; 4:16. https://doi.org/10.1186/1757-2215-4-16. [PubMed]
• 38. Ding CB, Yu WN, Feng JH, Luo JM. Structure and function of Gab2 and its role in cancer (Review). Mol Med Rep. 2015; 12:4007–14. https://doi.org/10.3892/mmr.2015.3951. [PubMed]
• 39. Brown LA, Kalloger SE, Miller MA, Shih IM, McKinney SE, Santos JL, Swenerton K, Spellman PT, Gray J, Gilks CB, Huntsman DG. Amplification of 11q13 in ovarian carcinoma. Genes Chromosomes Cancer. 2008; 47:481–89. https://doi.org/10.1002/gcc.20549. [PubMed]
• 40. Dunn GP, Cheung HW, Agarwalla PK, Thomas S, Zektser Y, Karst AM, Boehm JS, Weir BA, Berlin AM, Zou L, Getz G, Liu JF, Hirsch M, et al. In vivo multiplexed interrogation of amplified genes identifies GAB2 as an ovarian cancer oncogene. Proc Natl Acad Sci USA. 2014; 111:1102–07. https://doi.org/10.1073/pnas.1311909111. [PubMed]
• 41. Davis SJ, Sheppard KE, Anglesio MS, George J, Traficante N, Fereday S, Intermaggio MP, Menon U, Gentry-Maharaj A, Lubinski J, Gronwald J, Pearce CL, Pike MC, 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. https://doi.org/10.1158/1535-7163.MCT-15-0039. [PubMed]
• 42. Wang Y, Sheng Q, Spillman MA, Behbakht K, Gu H. Gab2 regulates the migratory behaviors and E-cadherin expression via activation of the PI3K pathway in ovarian cancer cells. Oncogene. 2012; 31:2512–20. https://doi.org/10.1038/onc.2011.435. [PubMed]
• 43. Davis SJ, Sheppard KE, Pearson RB, Campbell IG, Gorringe KL, Simpson KJ. Functional analysis of genes in regions commonly amplified in high-grade serous and endometrioid ovarian cancer. Clin Cancer Res. 2013; 19:1411–21. https://doi.org/10.1158/1078-0432.CCR-12-3433. [PubMed]
• 44. Duckworth C, Zhang L, Carroll SL, Ethier SP, Cheung HW. Overexpression of GAB2 in ovarian cancer cells promotes tumor growth and angiogenesis by upregulating chemokine expression. Oncogene. 2016; 35:4036–47. https://doi.org/10.1038/onc.2015.472. [PubMed]
• 45. Yang L, Zhang X, Ma Y, Zhao X, Li B, Wang H. Ascites promotes cell migration through the repression of miR-125b in ovarian cancer. Oncotarget. 2017; 8:51008–15. https://doi.org/10.18632/oncotarget.16846. [PubMed]
• 46. Devaiah BN, Gegonne A, Singer DS. Bromodomain 4: a cellular Swiss army knife. J Leukoc Biol. 2016; 100:679–86. https://doi.org/10.1189/jlb.2RI0616-250R. [PubMed]
• 47. Zhang Z, Ma P, Jing Y, Yan Y, Cai MC, Zhang M, Zhang S, Peng H, Ji ZL, Di W, Gu Z, Gao WQ, Zhuang G. BET Bromodomain Inhibition as a Therapeutic Strategy in Ovarian Cancer by Downregulating FoxM1. Theranostics. 2016; 6:219–30. https://doi.org/10.7150/thno.13178. [PubMed]
• 48. Kurimchak AM, Shelton C, Duncan KE, Johnson KJ, Brown J, O’Brien S, Gabbasov R, Fink LS, Li Y, Lounsbury N, Abou-Gharbia M, Childers WE, Connolly DC, et al. Resistance to BET Bromodomain Inhibitors Is Mediated by Kinome Reprogramming in Ovarian Cancer. Cell Rep. 2016; 16:1273–86. https://doi.org/10.1016/j.celrep.2016.06.091. [PubMed]
• 49. Jing Y, Zhang Z, Ma P, An S, Shen Y, Zhu L, Zhuang G. Concomitant BET and MAPK blockade for effective treatment of ovarian cancer. Oncotarget. 2016; 7:2545–54. https://doi.org/10.18632/oncotarget.6309. [PubMed]
• 50. Yokoyama Y, Zhu H, Lee JH, Kossenkov AV, Wu SY, Wickramasinghe JM, Yin X, Palozola KC, Gardini A, Showe LC, Zaret KS, Liu Q, Speicher D, et al. BET Inhibitors Suppress ALDH Activity by Targeting ALDH1A1 Super-Enhancer in Ovarian Cancer. Cancer Res. 2016; 76:6320–30. https://doi.org/10.1158/0008-5472.CAN-16-0854. [PubMed]
• 51. Zhu H, Bengsch F, Svoronos N, Rutkowski MR, Bitler BG, Allegrezza MJ, Yokoyama Y, Kossenkov AV, Bradner JE, Conejo-Garcia JR, Zhang R. BET Bromodomain Inhibition Promotes Anti-tumor Immunity by Suppressing PD-L1 Expression. Cell Rep. 2016; 16:2829–37. https://doi.org/10.1016/j.celrep.2016.08.032. [PubMed]
• 52. Goundiam O, Gestraud P, Popova T, De la Motte Rouge T, Fourchotte V, Gentien D, Hupé P, Becette V, Houdayer C, Roman-Roman S, Stern MH, Sastre-Garau X. Histo-genomic stratification reveals the frequent amplification/overexpression of CCNE1 and BRD4 genes in non-BRCAness high grade ovarian carcinoma. Int J Cancer. 2015; 137:1890–900. https://doi.org/10.1002/ijc.29568. [PubMed]
• 53. Pongas G, Kim MK, Min DJ, House CD, Jordan E, Caplen N, Chakka S, Ohiri J, Kruhlak MJ, Annunziata CM. BRD4 facilitates DNA damage response and represses CBX5/Heterochromatin protein 1 (HP1). Oncotarget. 2017; 8:51402–15. https://doi.org/10.18632/oncotarget.17572. [PubMed]
• 54. Wilson AJ, Stubbs M, Liu P, Ruggeri B, Khabele D. The BET inhibitor INCB054329 reduces homologous recombination efficiency and augments PARP inhibitor activity in ovarian cancer. Gynecol Oncol. 2018; 149:575–84. https://doi.org/10.1016/j.ygyno.2018.03.049. [PubMed]
• 55. Rhyasen GW, Yao Y, Zhang J, Dulak A, Castriotta L, Jacques K, Zhao W, Gharahdaghi F, Hattersley MM, Lyne PD, Clark E, Zinda M, Fawell SE, et al. BRD4 amplification facilitates an oncogenic gene expression program in high-grade serous ovarian cancer and confers sensitivity to BET inhibitors. PLoS One. 2018; 13:e0200826. https://doi.org/10.1371/journal.pone.0200826. [PubMed]
• 56. Hu J, Wang F, Yuan Y, Zhu X, Wang Y, Zhang Y, Kou Z, Wang S, Gao S. Novel importin-alpha family member Kpna7 is required for normal fertility and fecundity in the mouse. J Biol Chem. 2010; 285:33113–22. https://doi.org/10.1074/jbc.M110.117044. [PubMed]
• 57. Chook YM, Blobel G. Karyopherins and nuclear import. Curr Opin Struct Biol. 2001; 11:703–15. https://doi.org/10.1016/S0959-440X(01)00264-0. [PubMed]
• 58. Moore JD, Yang J, Truant R, Kornbluth S. Nuclear import of Cdk/cyclin complexes: identification of distinct mechanisms for import of Cdk2/cyclin E and Cdc2/cyclin B1. J Cell Biol. 1999; 144:213–24. https://doi.org/10.1083/jcb.144.2.213. [PubMed]/a>
• 59. Zhu ZC, Liu JW, Li K, Zheng J, Xiong ZQ. KPNB1 inhibition disrupts proteostasis and triggers unfolded protein response-mediated apoptosis in glioblastoma cells. Oncogene. 2018; 37:2936–52. https://doi.org/10.1038/s41388-018-0180-9. [PubMed]
• 60. Burton LJ, Henderson V, Liburd L, Odero-Marah VA. Snail transcription factor NLS and importin β1 regulate the subcellular localization of Cathepsin L and Cux1. Biochem Biophys Res Commun. 2017; 491:59–64. https://doi.org/10.1016/j.bbrc.2017.07.039. [PubMed]
• 61. Forbes DJ, Travesa A, Nord MS, Bernis C. Nuclear transport factors: global regulation of mitosis. Curr Opin Cell Biol. 2015; 35:78–90. https://doi.org/10.1016/j.ceb.2015.04.012. [PubMed]
• 62. Zhu J, Wang Y, Huang H, Yang Q, Cai J, Wang Q, Gu X, Xu P, Zhang S, Li M, Ding H, Yang L. Upregulation of KPNβ1 in gastric cancer cell promotes tumor cell proliferation and predicts poor prognosis. Tumour Biol. 2016; 37:661–72. https://doi.org/10.1007/s13277-015-3839-7. [PubMed]
• 63. He S, Miao X, Wu Y, Zhu X, Miao X, Yin H, He Y, Li C, Liu Y, Lu X, Chen Y, Wang Y, Xu X. Upregulation of nuclear transporter, Kpnβ1, contributes to accelerated cell proliferation- and cell adhesion-mediated drug resistance (CAM-DR) in diffuse large B-cell lymphoma. J Cancer Res Clin Oncol. 2016; 142:561–72. https://doi.org/10.1007/s00432-015-2057-4. [PubMed]
• 64. Zheng M, Tang L, Huang L, Ding H, Liao WT, Zeng MS, Wang HY. Overexpression of karyopherin-2 in epithelial ovarian cancer and correlation with poor prognosis. Obstet Gynecol. 2010; 116:884–91. https://doi.org/10.1097/AOG.0b013e3181f104ce. [PubMed]
• 65. Kodama M, Kodama T, Newberg JY, Katayama H, Kobayashi M, Hanash SM, Yoshihara K, Wei Z, Tien JC, Rangel R, Hashimoto K, Mabuchi S, Sawada K, et al. In vivo loss-of-function screens identify KPNB1 as a new druggable oncogene in epithelial ovarian cancer. Proc Natl Acad Sci USA. 2017; 114:E7301–10. https://doi.org/10.1073/pnas.1705441114. [PubMed]
• 66. van der Watt PJ, Chi A, Stelma T, Stowell C, Strydom E, Carden S, Angus L, Hadley K, Lang D, Wei W, Birrer MJ, Trent JO, Leaner VD. Targeting the Nuclear Import Receptor Kpnβ1 as an Anticancer Therapeutic. Mol Cancer Ther. 2016; 15:560–73. https://doi.org/10.1158/1535-7163.MCT-15-0052. [PubMed]
• 67. He L, Guo L, Vathipadiekal V, Sergent PA, Growdon WB, Engler DA, Rueda BR, Birrer MJ, Orsulic S, Mohapatra G. Identification of LMX1B as a novel oncogene in human ovarian cancer. Oncogene. 2014; 33:4226–35. https://doi.org/10.1038/onc.2013.375. [PubMed]
• 68. Wang ZQ, Faddaoui A, Bachvarova M, Plante M, Gregoire J, Renaud MC, Sebastianelli A, Guillemette C, Gobeil S, Macdonald E, Vanderhyden B, Bachvarov D. BCAT1 expression associates with ovarian cancer progression: possible implications in altered disease metabolism. Oncotarget. 2015; 6:31522–43. https://doi.org/10.18632/oncotarget.5159. [PubMed]
• 69. Calvo R, Drabkin HA. Embryonic genes in cancer. Ann Oncol. 2000 (Suppl 3); 11:207–18. https://doi.org/10.1093/annonc/11.suppl_3.207. [PubMed]
• 70. Allbee AW, Rincon-Limas DE, Biteau B. Lmx1a is required for the development of the ovarian stem cell niche in Drosophila. Development. 2018; 145:dev163394. https://doi.org/10.1242/dev.163394. [PubMed]
• 71. Devaney JM, Wang S, Funda S, Long J, Taghipour DJ, Tbaishat R, Furbert-Harris P, Ittmann M, Kwabi-Addo B. Identification of novel DNA-methylated genes that correlate with human prostate cancer and high-grade prostatic intraepithelial neoplasia. Prostate Cancer Prostatic Dis. 2013; 16:292–300. https://doi.org/10.1038/pcan.2013.21. [PubMed]
• 72. Kim SY, Shin DY, Kim SM, Lee M, Kim EJ. Aberrant DNA methylation-induced gene inactivation is associated with the diagnosis and/or therapy of T-cell leukemias. Leuk Res. 2016; 47:116–22. https://doi.org/10.1016/j.leukres.2016.05.020. [PubMed]
• 73. Ananieva EA, Wilkinson AC. Branched-chain amino acid metabolism in cancer. Curr Opin Clin Nutr Metab Care. 2018; 21:64–70. https://doi.org/10.1097/MCO.0000000000000430. [PubMed]
• 74. Yoshikawa R, Yanagi H, Shen CS, Fujiwara Y, Noda M, Yagyu T, Gega M, Oshima T, Yamamura T, Okamura H, Nakano Y, Morinaga T, Hashimoto-Tamaoki T. ECA39 is a novel distant metastasis-related biomarker in colorectal cancer. World J Gastroenterol. 2006; 12:5884–89. https://doi.org/10.3748/wjg.v12.i36.5884. [PubMed]
• 75. Zheng YH, Hu WJ, Chen BC, Grahn TH, Zhao YR, Bao HL, Zhu YF, Zhang QY. BCAT1, a key prognostic predictor of hepatocellular carcinoma, promotes cell proliferation and induces chemoresistance to cisplatin. Liver Int. 2016; 36:1836–47. https://doi.org/10.1111/liv.13178. [PubMed]
• 76. Chang IW, Wu WJ, Wang YH, Wu TF, Liang PI, He HL, Yeh BW, Li CF. BCAT1 overexpression is an indicator of poor prognosis in patients with urothelial carcinomas of the upper urinary tract and urinary bladder. Histopathology. 2016; 68:520–32. https://doi.org/10.1111/his.12778. [PubMed]
• 77. Thewes V, Simon R, Hlevnjak M, Schlotter M, Schroeter P, Schmidt K, Wu Y, Anzeneder T, Wang W, Windisch P, Kirchgäßner M, Melling N, Kneisel N, et al. The branched-chain amino acid transaminase 1 sustains growth of antiestrogen-resistant and ERα-negative breast cancer. Oncogene. 2017; 36:4124–34. https://doi.org/10.1038/onc.2017.32. [PubMed]
• 78. Xu Y, Yu W, Yang T, Zhang M, Liang C, Cai X, Shao Q. Overexpression of BCAT1 is a prognostic marker in gastric cancer. Hum Pathol. 2018; 75:41–46. https://doi.org/10.1016/j.humpath.2018.02.003. [PubMed]
• 79. Ju W, Yoo BC, Kim IJ, Kim JW, Kim SC, Lee HP. Identification of genes with differential expression in chemoresistant epithelial ovarian cancer using high-density oligonucleotide microarrays. Oncol Res. 2009; 18:47–56. https://doi.org/10.3727/096504009789954672. [PubMed]
• 80. Li L, Bai H, Yang J, Cao D, Shen K. Genome-wide DNA copy number analysis in clonally expanded human ovarian cancer cells with distinct invasive/migratory capacities. Oncotarget. 2017; 8:15136–48. https://doi.org/10.18632/oncotarget.14767. [PubMed]
• 81. Dassano A, Colombo F, Trincucci G, Frullanti E, Galvan A, Pettinicchio A, De Cecco L, Borrego A, Martinez Ibañez OC, Dragani TA, Manenti G. Mouse pulmonary adenoma susceptibility 1 locus is an expression QTL modulating Kras-4A. PLoS Genet. 2014; 10:e1004307. https://doi.org/10.1371/journal.pgen.1004307. [PubMed]
• 82. Cox AD, Fesik SW, Kimmelman AC, Luo J, Der CJ. Drugging the undruggable RAS: mission possible? Nat Rev Drug Discov. 2014; 13:828–51. https://doi.org/10.1038/nrd4389. [PubMed]
• 83. Vogel CL, Cobleigh MA, Tripathy D, Gutheil JC, Harris LN, Fehrenbacher L, Slamon DJ, Murphy M, Novotny WF, Burchmore M, Shak S, Stewart SJ, Press M. Efficacy and safety of trastuzumab as a single agent in first-line treatment of HER2-overexpressing metastatic breast cancer. J Clin Oncol. 2002; 20:719–26. https://doi.org/10.1200/JCO.2002.20.3.719. [PubMed]
• 84. Cheng KW, Lahad JP, Kuo WL, Lapuk A, Yamada K, Auersperg N, Liu J, Smith-McCune K, Lu KH, Fishman D, Gray JW, Mills GB. The RAB25 small GTPase determines aggressiveness of ovarian and breast cancers. Nat Med. 2004; 10:1251–56. https://doi.org/10.1038/nm1125. [PubMed]
• 85. Yang G, Rosen DG, Liu G, Yang F, Guo X, Xiao X, Xue F, Mercado-Uribe I, Huang J, Lin SH, Mills GB, Liu J. CXCR2 promotes ovarian cancer growth through dysregulated cell cycle, diminished apoptosis, and enhanced angiogenesis. Clin Cancer Res. 2010; 16:3875–86. https://doi.org/10.1158/1078-0432.CCR-10-0483. [PubMed]
• 86. Cheng Z, Guo J, Chen L, Luo N, Yang W, Qu X. Overexpression of TMEM158 contributes to ovarian carcinogenesis. J Exp Clin Cancer Res. 2015; 34:75. https://doi.org/10.1186/s13046-015-0193-y. [PubMed]
• 87. Wu N, Wei J, Wang Y, Yan J, Qin Y, Tong D, Pang B, Sun D, Sun H, Yu Y, Sun W, Meng X, Zhang C, et al. Ribosomal L22-like1 (RPL22L1) Promotes Ovarian Cancer Metastasis by Inducing Epithelial-to-Mesenchymal Transition. PLoS One. 2015; 10:e0143659. https://doi.org/10.1371/journal.pone.0143659. [PubMed]
• 88. Han C, Yang L, Choi HH, Baddour J, Achreja A, Liu Y, Li Y, Li J, Wan G, Huang C, Ji G, Zhang X, Nagrath D, Lu X. Amplification of USP13 drives ovarian cancer metabolism. Nat Commun. 2016; 7:13525. https://doi.org/10.1038/ncomms13525. [PubMed]
• 89. Yang W, Liu L, Li C, Luo N, Chen R, Li L, Yu F, Cheng Z. TRIM52 plays an oncogenic role in ovarian cancer associated with NF-kB pathway. Cell Death Dis. 2018; 9:908. https://doi.org/10.1038/s41419-018-0881-6. [PubMed]
• 90. Gharpure KM, Pradeep S, Sans M, Rupaimoole R, Ivan C, Wu SY, Bayraktar E, Nagaraja AS, Mangala LS, Zhang X, Haemmerle M, Hu W, Rodriguez-Aguayo C, et al. FABP4 as a key determinant of metastatic potential of ovarian cancer. Nat Commun. 2018; 9:2923. https://doi.org/10.1038/s41467-018-04987-y. [PubMed]
• 91. Xia Y, Chang T, Wang Y, Liu Y, Li W, Li M, Fan HY. YAP promotes ovarian cancer cell tumorigenesis and is indicative of a poor prognosis for ovarian cancer patients. PLoS One. 2014; 9:e91770. https://doi.org/10.1371/journal.pone.0091770. [PubMed]
• 92. Theurillat JP, Metzler SC, Henzi N, Djouder N, Helbling M, Zimmermann AK, Jacob F, Soltermann A, Caduff R, Heinzelmann-Schwarz V, Moch H, Krek W. URI is an oncogene amplified in ovarian cancer cells and is required for their survival. Cancer Cell. 2011; 19:317–32. https://doi.org/10.1016/j.ccr.2011.01.019. [PubMed]
• 93. Hu W, Liu T, Ivan C, Sun Y, Huang J, Mangala LS, Miyake T, Dalton HJ, Pradeep S, Rupaimoole R, Previs RA, Han HD, Bottsford-Miller J, et al. Notch3 pathway alterations in ovarian cancer. Cancer Res. 2014; 74:3282–93. https://doi.org/10.1158/0008-5472.CAN-13-2066. [PubMed]
• 94. Li J, Song L, Qiu Y, Yin A, Zhong M. ZNF217 is associated with poor prognosis and enhances proliferation and metastasis in ovarian cancer. Int J Clin Exp Pathol. 2014; 7:3038–47. [PubMed]
• 95. Lu H, Wang X, Urvalek AM, Li T, Xie H, Yu L, Zhao J. Transformation of human ovarian surface epithelial cells by Krüppel-like factor 8. Oncogene. 2014; 33:10–18. https://doi.org/10.1038/onc.2012.545. [PubMed]
• 96. Choi EJ, Seo EJ, Kim DK, Lee SI, Kwon YW, Jang IH, Kim KH, Suh DS, Kim JH. FOXP1 functions as an oncogene in promoting cancer stem cell-like characteristics in ovarian cancer cells. Oncotarget. 2016; 7:3506–19. https://doi.org/10.18632/oncotarget.6510. [PubMed]
• 97. Tai H, Wu Z, Sun S, Zhang Z, Xu C. FGFRL1 Promotes Ovarian Cancer Progression by Crosstalk with Hedgehog Signaling. J Immunol Res. 2018; 2018:7438608. https://doi.org/10.1155/2018/7438608. [PubMed]
• 98. Fung FK, Chan DW, Liu VW, Leung TH, Cheung AN, Ngan HY. Increased expression of PITX2 transcription factor contributes to ovarian cancer progression. PLoS One. 2012; 7:e37076. https://doi.org/10.1371/journal.pone.0037076. [PubMed]
• 99. Samardzija C, Luwor RB, Volchek M, Quinn MA, Findlay JK, Ahmed N. A critical role of Oct4A in mediating metastasis and disease-free survival in a mouse model of ovarian cancer. Mol Cancer. 2015; 14:152. https://doi.org/10.1186/s12943-015-0417-y. [PubMed]
• 100. Hou M, Cheng Z, Shen H, He S, Li Y, Pan Y, Feng C, Chen X, Zhang Y, Lin M, Wang L, Ke Z. High expression of CTHRC1 promotes EMT of epithelial ovarian cancer (EOC) and is associated with poor prognosis. Oncotarget. 2015; 6:35813–29. https://doi.org/10.18632/oncotarget.5358. [PubMed]
• 101. Fan Q, Cai Q, Xu Y. FOXM1 is a downstream target of LPA and YAP oncogenic signaling pathways in high grade serous ovarian cancer. Oncotarget. 2015; 6:27688–99. https://doi.org/10.18632/oncotarget.4280. [PubMed]
• 102. Sawada K, Mitra AK, Radjabi AR, Bhaskar V, Kistner EO, Tretiakova M, Jagadeeswaran S, Montag A, Becker A, Kenny HA, Peter ME, Ramakrishnan V, Yamada SD, Lengyel E. Loss of E-cadherin promotes ovarian cancer metastasis via alpha 5-integrin, which is a therapeutic target. Cancer Res. 2008; 68:2329–39. https://doi.org/10.1158/0008-5472.CAN-07-5167. [PubMed]
• 103. Saini U, Naidu S, ElNaggar AC, Bid HK, Wallbillich JJ, Bixel K, Bolyard C, Suarez AA, Kaur B, Kuppusamy P, Hays J, Goodfellow PJ, Cohn DE, Selvendiran K. Elevated STAT3 expression in ovarian cancer ascites promotes invasion and metastasis: a potential therapeutic target. Oncogene. 2017; 36:168–81. https://doi.org/10.1038/onc.2016.197. [PubMed]
• 104. Guo Y, Tian P, Yang C, Liang Z, Li M, Sims M, Lu L, Zhang Z, Li H, Pfeffer LM, Yue J. Silencing the double-stranded RNA binding protein DGCR8 inhibits ovarian cancer cell proliferation, migration, and invasion. Pharm Res. 2015; 32:769–78. https://doi.org/10.1007/s11095-013-1219-9. [PubMed]