Molecular pathogenesis and therapeutic targets in epithelial ovarian cancer

Ovarian cancer, the most aggressive gynecologic cancer, is the foremost cause of death from gynecologic malignancies in the developed world. Two primary reasons explain its aggressive behavior: most patients present with advanced disease at diagnosis, and die of recurrences from disease that has become resistant to conventional chemotherapies. In this paper on epithelial ovarian cancer (EOC), we will review molecular alterations associated with the few precursor lesions identified to date, followed by the more commonly recognized processes of de novo carcinogenesis, metastasis, and the development of chemoresistance. We will propose a unifying model of ovarian epithelial tumorigenesis that takes into account various hypotheses. We will also review novel approaches to overcome the major problem of chemoresistance in ovarian cancer. Finally, we will discuss advances and new challenges in the development of mouse model systems to investigate EOC precursor lesions, progression, metastasis, and chemoresistance.     

人附睾蛋白4与血清CA125联合检测在卵巢癌诊断中的应用价值

目的：探讨人附睾蛋白4（HE4）和CA125联合检测在上皮性卵巢癌临床诊断中的应用价值。方法：用化学发光法测定51例卵巢癌患者、64例卵巢良性疾病患者和50例健康对照者血清中的HE4和CA125水平,并对结果进行比较分析。结果：卵巢癌组血清中HE4和CA125水平均显著高于卵巢良性肿瘤组和健康对照组,差异有统计学意义（P〈0．05）,卵巢良性肿瘤组与健康对照组比较无显著性差异;HE4在早期卵巢癌中的阳性率高于CA125,两者联合检测可提高卯巢癌诊断的阳性率;卵巢癌组联合检测ROC曲线下面积大于单项检测曲线下面积。结论：联合检测HE4和CA125有助于卵巢癌的早期诊断。     

Ovarian cancer stem cells: Can targeted therapy lead to improved progression-free survival?

Despite significant effort and research funds, epithelial ovarian cancer remains a very deadly disease. There are no effective screening methods that discover early stage disease; the majority of patients are diagnosed with advanced disease. Treatment modalities consist primarily of radical debulking surgery followed by taxane and platinum-based chemotherapy. Newer therapies including limited targeted agents and intraperitoneal delivery of chemotherapeutic drugs have improved disease-free intervals, but failed to yield longlasting cures in most patients. Chemotherapeutic resistance, particularly in the recurrent setting, plagues the disease. Targeting the pathways and mechanisms behind the development of chemoresistance in ovarian cancer could lead to significant improvement in patient outcomes. In many malignancies, including blood and other solid tumors, there is a subgroup of tumor cells, separate from the bulk population, called cancer stem cells(CSCs). These CSCs are thought to be the cause of metastasis, recurrence and resistance. However, todate, ovarian CSCs have been difficult to identify, isolate, and target. It is felt by many investigators that finding a putative ovarian CSC and a chemotherapeutic agent to target it could be the key to a cure for this deadly disease. This review will focus on recent advances in this arena and discuss some of the controversies surrounding the concept.     

Secretion of annexin A3 from ovarian cancer cells and its association with platinum resistance in ovarian cancer patients

Early detection of resistance to platinum-based therapy is critical for improving the treatment of ovarian cancers. We have previously found that increased expression of annexin A3 is a mechanism for platinum resistance in ovarian cancer cells. Here we demonstrate that annexin A3 can be detected in the culture medium of ovarian cancer cells, particularly these cells that express high levels of annexin A3. Levels of annexin A3 were then determined in sera from ovarian cancer patients using an enzyme-linked immunosorbent assay. Compared with those from normal donors, sera from ovarian cancer patients contain significantly higher levels of annexin A3. Furthermore, serum levels of annexin A3 were significantly higher in platinum-resistant patients than in platinum-sensitive patients. To gain insight into the mechanism of secretion, the ovarian cancer cell lines were examined using both transmission electron microscopy and immunoelectron microscopy. Compared with parent cells, there are significantly more vesicles in the cytoplasm of ovarian cancer cells that express high levels of annexin A3, and at least some vesicles are annexin A3-positive. Moreover, some vesicles appear to be fused with the cell membrane, suggesting that annexin A3 secretion may be associated with exocytosis and the release of exosomes. This is supported by our observation that ovarian cancer cells expressing higher levels of annexin A3 released increased numbers of exosomes. Furthermore, annexin A3 can be detected in exosomes released from cisplatin-resistant cells (SKOV3/Cis) by immunoblotting and immunoelectron microscopy.     

Changes in the fucose content of haptoglobin in breast and ovarian cancer: Association with disease progression

There is increasing evidence for changes in fucosylation in cancer. Previously, we showed that the fucose-specific lectin,Lotus tetragonolobus, extracts an abnormal form of haptoglobin (Hp) from cancer sera. This study investigates the monosaccharide content of Hp obtained from women with ovarian and breast cancer at different stages of their disease. In both cancers, Hp fucose was low when the disease was benign or in remission and much higher when the disease was progressive. This occurred whether the data was expressed per mole of protein or per three mannose residues. Changes in other monosaccharides were minor compared with fucose. There were small increases in theN-acetylglucosamine and galactose content (per three mannoses) in ovarian cancer, suggesting that some glycan chains have increased branching. The latter was independent of disease activity which may be due to some indirect cause such as cytotoxic therapy or an inflammatory response. When ovarian cancer patients were in remission, the number of glycosylation sites on Hp was reduced. Hp isolated from patients with early, but not advanced breast cancer also appeared to have increased glycan branching. The increased fucosylated Hp may interfere with fucose-mediated adhesion reactions of cancer cells.Part of this work was published in abstract form,Glycoconjugate J 1993;10; 318.     

WT-1、Smac蛋白在上皮性卵巢癌中的表达和临床意义研究

目的:探讨WT-1和Smac蛋白在上皮性卵巢癌中的表达及其临床意义。方法:应用免疫组织化学染色方法检测40例正常卵巢组织,40例卵巢上皮性良性肿瘤组织,60例全面分期手术治疗的上皮性卵巢癌组织中WT-1、Smac蛋白的表达,并分析WT-1、Smac蛋白的表达与上皮性卵巢癌临床病理特征的相关性及二者之间的相关性。结果:WT-1蛋白在上皮性卵巢癌组织中的表达明显高于正常卵巢组织或卵巢上皮性良性肿瘤组织(P0.05);Smac蛋白在上皮性卵巢癌组织中表达明显低于正常卵巢组织或卵巢上皮性良性肿瘤组织(P0.05)。上皮性卵巢癌组织中WT-1、Smac蛋白的表达与肿瘤临床分期、组织分化程度、淋巴结有无转移均显著相关(P0.05)。且上皮性卵巢癌中WT-1、Smac蛋白的表达呈明显负相关性(r=-0.35,P0.05)。结论:WT-1蛋白高表达或Smac蛋白低表达可能在上皮性卵巢癌的发生、发展中发挥重要作用,检测WT-1、Smac蛋白的表达有助于上皮性卵巢癌恶性程度的判断和预后评估。     

Early detection of ovarian cancer: preliminary results of the Yale Early Detection Program.

Eighty-four women at high risk for ovarian cancer by having first-degree relatives with epithelial ovarian cancer participated in a newly established, early ovarian cancer detection program at Yale University. Participants were to be evaluated with physical examinations and circulating tumor markers at entry and every six months thereafter. Endovaginal ultrasound and color Doppler flow studies were to be performed at three and nine months following entry into the program. In addition, women were encouraged to follow American Cancer Society guidelines for mammography. Stool was checked for occult blood. Endometrial sampling was offered to post-menopausal women. No participant has developed an ovarian cancer since entering the program. One woman has been diagnosed to have breast cancer. False-positive levels of circulating tumor markers (CA 125, 4/84 [4.8 percent]; lipid-associated sialic acid in plasma, 13/84 [15.5 percent]; NB/70K, 4/84 [4.8 percent]; and urinary gonadotropin fragment, 1/65 [1.5 percent]) were observed on entry into the program. Low resistive indices (less than 0.5) were documented in 8/91 (8.8 percent) ovaries studied by the color Doppler flow technique. One participant underwent a laparotomy based on a false-positive endovaginal ultrasound examination. Tests now being employed in community practice have a high likelihood of being associated with false-positive results. Therapeutic interventions based on isolated abnormal tumor markers or ultrasound studies obtained from women with family histories of ovarian cancer may lead to inappropriate surgery. It is necessary for cancer centers to develop expertise in ovarian cancer detection techniques to advise physicians in their geographic areas appropriately about the significance of the abnormal screening test.     

Multiple MAGE-A genes as surveillance marker for the detection of circulating tumor cells in patients with ovarian cancer

Abstract

Ovarian cancer is a leading cause of death among gynecologic malignancies. In this study, we reported the expression of melanoma-associated antigens A (MAGE-A) genes in peripheral blood from 80 patients with ovarian cancer and 30 healthy donors. MAGE-As expression was associated with the factors indicating poor prognosis. The expressions of MAGE-As and each individual MAGE-A genes were also associated with low overall survival of patients with ovarian cancer. Our results suggested MAGE-A genes may have the potential to be surveillance markers for the detection of circulating tumor cells and represent a poor prognosis for patients with ovarian cancer.     

Advances in ovarian cancer proteomics: the quest for biomarkers and improved therapeutic interventions

Epithelial ovarian cancer is the leading cause of cancer-related death among gynecological cancers due to the asymptomatic nature of the disease, a lack of early detection markers and the development of resistance to current chemotherapeutic agents. Currently available tests (CA-125, transvaginal ultrasound or combination of both) lack the sensitivity and specificity to be useful as an efficient screening tool for surveillance of the general population. Thus, there is an urgent need for the development and validation of new molecular markers that would be both specific and sensitive indicators of disease onset, as well as progression. Proteomic profiling has emerged as a powerful tool to study ovarian cancer in an unbiased way at the molecular level, to monitor the effects of given treatment options and for the discovery of biomarkers. In this review we discuss the challenges associated with proteomics-based biomarker discovery and some recent concepts to potentially overcome these hurdles. Recent proteomics work on ovarian cancer cells and tissues will be discussed in light of obtaining new insights into fundamental biological processes, as well as their potential integration with ongoing biomarker discovery pipelines.     

Early detection of ovarian cancer: background, rationale, and structure of the Yale Early Detection Program.

Ovarian cancer has received national attention as a highly virulent disease. Its lack of early warning symptoms and the failure to develop highly sensitive screening tests have led some physicians to recommend prophylactic oophorectomies to women with relatives who have had ovarian cancer. Others have recommended routine screening of otherwise normal women for CA 125, a circulating tumor marker, and ultrasound examinations. Each of these techniques is associated with substantial false-positive rates that could lead to unnecessary surgery. A review of epidemiologic data suggests that familial ovarian cancer kindreds are rare, but women with first-degree relatives who have had ovarian cancer have a significant risk themselves for developing ovarian cancer. In addition, women with a great number of ovulatory cycles are at an increased risk for the disease. Circulating tumor markers are frequently elevated in women with advanced ovarian cancer, but their value in early detection of ovarian cancer has yet to be established. Advances in endovaginal ultrasound and color Doppler flow technology have significantly improved our ability to assess pelvic organs. This article presents the background, rationale, and structure of the Yale Early Detection Program for ovarian cancer, whose goals are to identify the best techniques for diagnosing ovarian cancer in an early stage, to determine the frequency with which such tests should be employed, to assess false-positive results, and to identify women who might benefit from prophylactic oophorectomies.     

Extracellular vesicles in ovarian cancer: applications to tumor biology,immunotherapy and biomarker discovery

In recent years there has been tremendous interest in both the basic biology and applications of extracellular vesicles (EVs) in translational cancer research. This includes a better understanding of their biogenesis and mechanisms of selective cargo packaging, their precise roles in horizontal communication, and their application as non-invasive biomarkers. The rapid advances in next-generation omics technologies are the driving forces for these discoveries. In this review, the authors focus on recent results of EV research in ovarian cancer. A deeper understanding of ovarian cancer-derived EVs, the types of cargo molecules and their biological roles in cancer growth, metastases and drug resistance, could have significant impact on the discovery of novel biomarkers and innovative therapeutics. Insights into the role of EVs in immune regulation could lead to novel approaches built on EV-based immunotherapy.     

综述: 卵巢癌生物标志物的糖链谱研究进展

糖类抗原125(CA125)被认为是卵巢癌诊断的“金标准”,但在临床应用中普遍存在着特异性不高的问题．肿瘤形成和发展过程中常伴有糖基化修饰异常和糖链结构的改变,不同的肿瘤具有特异的异常糖链结构．近年来,借助凝集素芯片、多重质谱分析等糖蛋白组学和糖组学研究技术,发现不同来源CA125的O-糖链和N-糖链结构存在着明显的微观不均一性,以这些特征性糖链结构为标志物,可以显著提高CA125对卵巢癌的诊断特异性．在过去的10年,研究者们除对CA125糖链结构和糖基化模式做了深入的研究外,还利用糖组的研究方法,直接对来自卵巢癌患者血液、体液(腹水、囊泡液等)中糖蛋白的糖链做了精细的结构解析,结果显示,可有效鉴别卵巢癌患者和健康志愿者的特异性N-糖链结构,有可能成为灵敏度高和特异性好的卵巢癌生物标志物．卵巢癌生物标志物研究发展的总趋势是从传统的对蛋白质的定性和定量研究,逐步转向于对标志物糖基化修饰和特异性糖链结构的鉴定以及定量分析．本文从糖组学的视角,对卵巢癌标志物糖组学的研究现状及发展趋势进行了综述和展望．     

Targeted therapies in epithelial ovarian cancer: Molecular mechanisms of action

Ovarian cancer is the leading cause of death in women with gynecological cancer. Most patients are diagnosed at an advanced stage and have a poor prognosis. Currently, surgical tumor debulking, followed by platinum- and taxane-based chemotherapy is the standard treatment for advanced ovarian cancer. However, these patients are at great risk of recurrence and emerging drug resistance. Therefore, novel treatment strategies are required to improve outcomes for women with advanced ovarian cancer. A variety of molecular targeted agents, the majority of which are monoclonal antibodies and small-molecule protein-kinase inhibitors, have been explored in the management of ovarian cancer. The targets of these agents include angiogenesis, the human epidermal growth factor receptor family, ubiquitin-proteasome pathway, epigenetic modulators, poly(ADP-ribose) polymerase (PARP), and mammalian target of rapamycin (mTOR) signaling pathway, which are aberrant in tumor tissue. The antiangiogenic agent, bevacizumab, has been reported as the most effective targeted agent and should be included in the standard chemotherapeutic regimen for advanced ovarian cancer. PARP inhibitors, which are mainly used in breast and ovarian cancer susceptibility gene-mutated patients, and mTOR inhibitors are also attractive treatment strategies, either alone or combination with chemotherapy, for ovarian cancer. Understanding the tumor molecular biology and identification of predictive biomarkers are essential steps for selection of the best treatment strategies. This article reviews the molecular mechanisms of the most promising targeted agents that are under early phase clinical evaluation for ovarian cancer.     

Therapeutic targets and new directions for antibodies developed for ovarian cancer

Antibody therapeutics against different target antigens are widely used in the treatment of different malignancies including ovarian carcinomas, but this disease still requires more effective agents. Improved understanding of the biological features, signaling pathways, and immunological escape mechanisms involved in ovarian cancer has emerged in the past few years. These advances, including an appreciation of the cross-talk between cancer cells and the patient's immune system, have led to the identification of new targets. In turn, potential antibody treatments with various mechanisms of action, including immune activation or toxin-delivery, that are directed at these targets have been developed. Here, we identify established as well as novel targets for antibodies in ovarian cancer, and discuss how they may provide fresh opportunities to identify interventions with enhanced therapeutic potential.     

Ovarian cancer stem cell: A potential therapeutic target for overcoming multidrug resistance

The cancer stem cell (CSC) model encompasses an advantageous paradigm that in recent decades provides a better elucidation for many important biological aspects of cancer initiation, progression, metastasis, and, more important, development of multidrug resistance (MDR). Such several other hematological malignancies and solid tumors and the identification and isolation of ovarian cancer stem cells (OV-CSCs) show that ovarian cancer also follows this hierarchical model. Gaining a better insight into CSC-mediated resistance holds promise for improving current ovarian cancer therapies and prolonging the survival of recurrent ovarian cancer patients in the future. Therefore, in this review, we will discuss some important mechanisms by which CSCs can escape chemotherapy, and then review the recent and growing body of evidence that supports the contribution of CSCs to MDR in ovarian cancer.     

Differential expression analysis in ovarian cancer: A functional genomics and systems biology approach

BackgroundOvarian cancer is one of the rarest lethal oncologic diseases that have hardly any specific biomarkers. The availability of high-throughput genomic data and advancement in bioinformatics tools allow us to predict gene biomarkers and apply systems biology approaches to get better diagnosis, and prognosis of the disease with a tentative drug that may be repurposed.ObjectiveTo perform genome-wide association studies using microarray gene expression of ovarian cancer and identify gene biomarkers, construction and analyze networks, perform survival analysis, and drug interaction studies for better diagnosis, prognosis, and treatment of ovarian cancer.MethodThe gene expression profiles of both healthy and serous ovarian cancer epithelial samples were considered. We applied a series of bioinformatics methods and tools, including fold-change statistics for differential expression analysis, DisGeNET and NCBI-Gene databases for gene-disease association mapping, DAVID 6.8 for GO enrichment analysis, GeneMANIA for network construction, Cytoscape 3.8 with its plugins for network visualization, analysis, and module detection, the UALCAN for patient survival analysis, and PubChem, DrugBank and DGIdb for gene-drug interaction.ResultsWe identified 8 seed genes that were subjected for drug-gene interaction studies. Because of over-expression in all the four stages of ovarian cancer, we discern that genes HMGA1 and PSAT1 are potential therapeutic biomarkers for its diagnosis at an early stage (stage I). Our analysis suggests that there are 11 drugs common in the seed genes. However, hypermethylated seed genes HMGA1 and PSAT1 showcased a good interaction affinity with drugs cisplatin, cyclosporin, bisphenol A, progesterone, and sunitinib, and are crucial in the proliferation of ovarian cancer.ConclusionOur study reveals that HMGA1 and PSAT1 can be deployed for initial screening of ovarian cancer and drugs cisplatin, bisphenol A, cyclosporin, progesterone, and sunitinib are effective in curbing the epigenetic alteration.     

Genetic variants in telomere‐maintenance genes are associated with ovarian cancer risk and outcome

Most ovarian cancer patients present at an advanced stage with poor prognosis. Telomeres play a critical role in protecting chromosomes stability. The associations of genetic variants in telomere maintenance genes and ovarian cancer risk and outcome are unclear. We genotyped 137 single nucleotide polymorphisms (SNPs) in telomere‐maintenance genes in 417 ovarian cancer cases and 417 matched healthy controls to evaluate their associations with cancer risk, survival and therapeutic response. False discovery rate Q‐value was calculated to account for multiple testing. Eleven SNPs from two genes showed nominally significant associations with the risks of ovarian cancer. The most significant SNP was TEP1: rs2228026 with participants carrying at least one variant allele exhibiting a 3.28‐fold (95% CI: 1.72‐6.29; P < 0.001, Q = 0.028) increased ovarian cancer risk, which remained significant after multiple testing adjusting. There was also suggested evidence for the associations of SNPs with outcome, although none of the associations had a Q < 0.05. Seven SNPs from two genes showed associations with ovarian cancer survival (P < 0.05). The strongest association was found in TNKS gene (rs10093972, hazard ratio = 1.88; 95% CI: 1.20‐2.92; P = 0.006, Q = 0.076). Five SNPs from four genes showed suggestive associations with therapeutic response (P < 0.05). In a survival tree analysis, TEP1:rs10143407 was the primary factor contributing to overall survival. Unfavourable genotype analysis showed a cumulative effect of significant SNPs on ovarian cancer risk, survival and therapeutic response. Genetic variations in telomere‐maintenance genes may be associated with ovarian cancer risk and outcome.     

Estrogen stimulation of ovarian surface epithelial cell proliferation

Summary Ovarian cancer is the leading cause of gynecological cancer mortality, and 85–90% of this malignancy originates from the ovarian surface epithelium (OSE). The etiology of ovarian epithelial cancer is unknown but a role for estrogens has been suspected. However, the effect of estrogens on OSE cell proliferation remains to be determined. Using the rabbit model, our studies have demonstrated that 17β-estradiol stimulates OSE cell proliferation and the formation of a papillary ovarian surface morphology similar to that seen in human ovarian serous neoplasms of low malignant potential. Immunohistochemical staining of ovarian tissue sections with an antibody to the estrogen receptor α demonstrates its expression in both OSE cells and stromal interstitial cells. In primary ovarian cell cultures, the proliferative response of the epithelial cells to 17β-estradiol depends on the expression of the estrogen receptor α in the epithelial cells. However, when the epithelial cells are grown together with ovarian stromal cells, their proliferative response to this hormone is greatly enhanced, suggesting the involvement of stromal-epithelial interactions. These studies suggest a role for estrogens and the estrogen receptor α in OSE growth.     

Convergence of Wnt and Notch signaling controls ovarian cancer cell survival

In the last 40 years ovarian cancer mortality rates have slightly declined and, consequently, it continues to be the fifth cause of cancer death in women. In the present study, we showed that β-catenin signaling is involved in the functions of ovarian cancer cells and interacts with the Notch system. Wnt and Notch systems showed to be prosurvival for ovarian cancer cells and their inhibition impaired cell proliferation and migration. We also demonstrated that the inhibition of β-catenin by means of two molecules, XAV939 and ICG-001, decreased the proliferation of the IGROV1 and SKOV3 ovarian cancer cell lines and that ICG-001 increased the percentage of IGROV1 cells undergoing apoptosis. The simultaneous inhibition of β-catenin and Notch signaling, by using the DAPT inhibitor, decreased ovarian cancer cell proliferation to the same extent as targeting only the Wnt/β-catenin pathway. A similar effect was observed in IGROV1 cell migration with ICG-001 and DAPT. ICG-001 increased the Notch target genes Hes-1 and Hey-1 and increased Jagged1 expression. However, no changes were observed in Dll4 or Notch 1 and 4 expressions. Our results suggest that Notch and β-catenin signaling co-operate in ovarian cancer to ensure the proliferation and migration of cells and that this could be achieved, at least partly, by the upregulation of Notch Jagged1 ligand in the absence of Wnt signaling. We showed that the Wnt pathway crosstalks with Notch in ovarian cancer cell functions, which may have implications in ovarian cancer therapeutics.