Paradigm Shift in the Management Strategy for Epithelial Ovarian Cancer

2016 ◽  
pp. e247-e257 ◽  
Author(s):  
Keiichi Fujiwara ◽  
Jessica N. McAlpine ◽  
Stephanie Lheureux ◽  
Noriomi Matsumura ◽  
Amit M. Oza
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Paradigm Shift ◽  
Management Strategy ◽  
Clear Cell ◽  
Treatment Strategies ◽  
Low Grade ◽  
Ovarian Carcinomas ◽  
Coelomic Epithelium ◽  
Histologic Types

The hypothesis on the pathogenesis of epithelial ovarian cancer continues to evolve. Although epithelial ovarian cancer had been assumed to arise from the coelomic epithelium of the ovarian surface, it is now becoming clearer that the majority of serous carcinomas arise from epithelium of the distal fallopian tube, whereas clear cell and endometrioid cancers arise from endometriosis. Molecular and genomic characteristics of epithelial ovarian cancer have been extensively investigated. Our understanding of pathogenesis of the various histologic types of ovarian cancer have begun to inform changes to the strategies for management of epithelial ovarian cancer, which represent a paradigm shift not only for treatment but also for prevention, which previously had not been considered achievable. In this article, we will discuss novel attempts at the prevention of high-grade serous ovarian cancer and treatment strategies for two distinct entities in epithelial ovarian cancer: low-grade serous and clear cell ovarian carcinomas, which are relatively rare and resistant to conventional chemotherapy.

Ovarian Cancer Update: Lessons From Morphology, Molecules, and Mice

2009 ◽  
Vol 133 (11) ◽  
pp. 1775-1781 ◽  
Author(s):  
Kathleen R. Cho
Keyword(s):  
Ovarian Cancer ◽  
Mouse Models ◽  
Clear Cell ◽  
Tumor Grade ◽  
Low Grade ◽  
Ovarian Carcinomas ◽  
Molecular Defects ◽  
Cancer Pathogenesis ◽  
Grade Versus ◽  
Histologic Types

Abstract Ovarian carcinomas are a heterogeneous group of neoplasms. Pathologists currently employ a morphology-based classification system to divide ovarian carcinomas into major subgroups based on degree (tumor grade) and type of differentiation (eg, serous, endometrioid, clear cell, or mucinous). Molecular studies have shown that specific genetic defects are likely to be present in certain histologic types of ovarian carcinomas and unlikely to be present in others. Within the serous and endometrioid carcinomas, the molecular defects in low-grade versus high-grade tumors also appear to be largely distinct. Recently, mouse models of ovarian carcinoma have been developed that recapitulate many of the morphologic features and biologic behavior of selected subtypes of ovarian cancer. It is expected that these mouse models will yield new insights into ovarian cancer pathogenesis and prove useful for preclinical testing of novel strategies for ovarian cancer treatment.

Differential expression of ABCF2 protein among different histologic types of epithelial ovarian cancer and in clear cell adenocarcinomas of different organs

2007 ◽  
Vol 38 (1) ◽  
pp. 134-139 ◽  
Author(s):  
Sadako Nishimura ◽  
Hiroshi Tsuda ◽  
Kiyoshi Ito ◽  
Toshiko Jobo ◽  
Nobuo Yaegashi ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Differential Expression ◽  
Clear Cell ◽  
Histologic Types

Paradigm Shift in the Management Strategy for Epithelial Ovarian Cancer

2016 ◽  
Vol 36 ◽  
pp. e247-e257 ◽  
Author(s):  
Keiichi Fujiwara ◽  
Jessica N. McAlpine ◽  
Stephanie Lheureux ◽  
Noriomi Matsumura ◽  
Amit M. Oza
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Paradigm Shift ◽  
Management Strategy

MOLECULAR AND GENETIC SUBTYPES OF OVARIAN CANCER: PROSPECTS FOR FURTHER STUDIES

2019 ◽  
Vol 65 (1) ◽  
pp. 56-62
Author(s):  
Alisa Villert ◽  
Larisa Kolomiets ◽  
Natalya Yunusova ◽  
Yevgeniya Fesik
Keyword(s):  
Ovarian Cancer ◽  
Ovarian Carcinoma ◽  
Molecular Subtypes ◽  
Survival Rates ◽  
Consensus Algorithm ◽  
Histopathological Diagnosis ◽  
Low Grade ◽  
High Grade ◽  
Ovarian Carcinomas ◽  
Genetic Subtypes

High-grade ovarian carcinoma is a histopathological diagnosis, however, at the molecular level, ovarian cancer represents a heterogeneous group of diseases. Studies aimed at identifying molecular genetic subtypes of ovarian cancer are conducted in order to find the answer to the question: can different molecular subgroups influence the choice of treatment? One of the achievements in this trend is the recognition of the dualistic model that categorizes various types of ovarian cancer into two groups designated high-grade (HG) and low-grade (LG) tumors. However, the tumor genome sequencing data suggest the existence of 6 ovarian carcinoma subtypes, including two LG and four HG subtypes. Subtype C1 exhibits a high stromal response and the lowest survival. Subtypes C2 and C4 demonstrate higher number of intratumoral CD3 + cells, lower stromal gene expression and better survival than sybtype C1. Subtype C5 (mesenchymal) is characterized by mesenchymal cells, over-expression of N-cadherin and P-cadherin, low expression of differentiation markers, and lower survival rates than C2 and C4. The use of a consensus algorithm to determine the subtype allows identification of only a minority of ovarian carcinomas (approximately 25%) therefore, the practical importance of this classification requires additional research. There is evidence that it makes sense to randomize tumors into groups with altered expression of angiogenic genes and groups with overexpression of the immune response genes, as in the angiogenic group there is a comparative superiority in terms of survival. The administration of bevacizumab in the angiogenic group improves survival, while the administration of bevacizumab in the immune group even worsens the outcome. Molecular subtypes with worse survival rates (proliferative and mesenchymal) also benefit most from bevacizumab treatment. This review focuses on some of the advances in understanding molecular, cellular, and genetic changes in ovarian carcinomas with the results achieved so far regarding the formulation of molecular subtypes of ovarian cancer, however further studies are needed.

scholarly journals Trace Amine-Associated Receptor 1 (TAAR1) Is a Positive Prognosticator for Epithelial Ovarian Cancer

2021 ◽  
Vol 22 (16) ◽  
pp. 8479
Author(s):  
Tilman L. R. Vogelsang ◽  
Aurelia Vattai ◽  
Elisa Schmoeckel ◽  
Till Kaltofen ◽  
Anca Chelariu-Raicu ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Overall Survival ◽  
Epithelial Ovarian Cancer ◽  
Tnm Classification ◽  
Rank Correlation ◽  
University Hospital ◽  
Cancer Tissue ◽  
Low Grade ◽  
High Grade ◽  
Trace Amine

Trace amine-associated receptor 1 (TAAR1) is a Gαs- protein coupled receptor that plays an important role in the regulation of the immune system and neurotransmission in the CNS. In ovarian cancer cell lines, stimulation of TAAR1 via 3-iodothyronamine (T1AM) reduces cell viability and induces cell death and DNA damage. Aim of this study was to evaluate the prognostic value of TAAR1 on overall survival of ovarian carcinoma patients and the correlation of TAAR1 expression with clinical parameters. Ovarian cancer tissue of n = 156 patients who were diagnosed with epithelial ovarian cancer (serous, n = 110 (high-grade, n = 80; low-grade, n = 24; unknown, n = 6); clear cell, n = 12; endometrioid, n = 21; mucinous, n = 13), and who underwent surgery at the Department of Obstetrics and Gynecology, University Hospital of the Ludwig-Maximilians University Munich, Germany between 1990 and 2002, were analyzed. The tissue was stained immunohistochemically with anti-TAAR1 and evaluated with the semiquantitative immunoreactive score (IRS). TAAR1 expression was correlated with grading, FIGO and TNM-classification, and analyzed via the Spearman’s rank correlation coefficient. Further statistical analysis was obtained using nonparametric Kruskal-Wallis rank-sum test and Mann-Whitney-U-test. This study shows that high TAAR1 expression is a positive prognosticator for overall survival in ovarian cancer patients and is significantly enhanced in low-grade serous carcinomas compared to high-grade serous carcinomas. The influence of TAAR1 as a positive prognosticator on overall survival indicates a potential prognostic relevance of signal transduction of thyroid hormone derivatives in epithelial ovarian cancer. Further studies are required to evaluate TAAR1 and its role in the development of ovarian cancer.

scholarly journals Clinical Utility of Real-Time Targeted Molecular Profiling in the Clinical Management of Ovarian Cancer: The ALLOCATE Study

2019 ◽  
pp. 1-18
Author(s):  
Olga Kondrashova ◽  
Gwo-Yaw Ho ◽  
George Au-Yeung ◽  
Leakhena Leas ◽  
Tiffany Boughtwood ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Real Time ◽  
Targeted Therapies ◽  
Clinical Management ◽  
Clinical Utility ◽  
Advanced Ovarian Cancer ◽  
Molecular Profiling ◽  
Molecular Testing ◽  
Low Grade ◽  
Ovarian Carcinomas

PURPOSE The ALLOCATE study was designed as a pilot to demonstrate the feasibility and clinical utility of real-time targeted molecular profiling of patients with recurrent or advanced ovarian cancer for identification of potential targeted therapies. PATIENTS AND METHODS A total of 113 patients with ovarian cancer of varying histologies were recruited from two tertiary hospitals, with 99 patient cases suitable for prospective analysis. Targeted molecular and methylation profiling of fresh biopsy and archived tumor samples were performed by screening for mutations or copy-number variations in 44 genes and for promoter methylation of BRCA1 and RAD51C. RESULTS Somatic genomic or methylation events were identified in 85% of all patient cases, with potentially actionable events with defined targeted therapies (including four resistance events) detected in 60% of all patient cases. On the basis of these findings, six patients received molecularly guided therapy, three patients had unsuspected germline cancer–associated BRCA1/ 2 mutations and were referred for genetic counseling, and two intermediate differentiated (grade 2) serous ovarian carcinomas were reclassified as low grade, leading to changes in clinical management. Additionally, secondary reversion mutations in BRCA1/ 2 were identified in fresh biopsy samples of two patients, consistent with clinical platinum/poly (ADP-ribose) polymerase inhibitor resistance. Timely reporting of results if molecular testing is done at disease recurrence, as well as early referral for patients with platinum-resistant cancers, were identified as factors that could improve the clinical utility of molecular profiling. CONCLUSION ALLOCATE molecular profiling identified known genomic and methylation alterations of the different ovarian cancer subtypes and was deemed feasible and useful in routine clinical practice. Better patient selection and access to a wider range of targeted therapies or clinical trials will further enhance the clinical utility of molecular profiling.

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