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Because of the high risk of recurrence in high-grade serous ovarian carcinoma (HGS-OvCa), the development of outcome predictors could be valuable for patient stratification. Using the catalog of The Cancer Genome Atlas (TCGA), we developed subtype and survival gene expression signatures, which, when combined, provide a prognostic model of HGS-OvCa classification, named "Classification of Ovarian Cancer" (CLOVAR). We validated CLOVAR on an independent dataset consisting of 879 HGS-OvCa expression profiles. The worst outcome group, accounting for 23% of all cases, was associated with a median survival of 23 months and a platinum resistance rate of 63%, versus a median survival of 46 months and platinum resistance rate of 23% in other cases. Associating the outcome prediction model with BRCA1/BRCA2 mutation status, residual disease after surgery, and disease stage further optimized outcome classification. Ovarian cancer is a disease in urgent need of more effective therapies. The spectrum of outcomes observed here and their association with CLOVAR signatures suggests variations in underlying tumor biology. Prospective validation of the CLOVAR model in the context of additional prognostic variables may provide a rationale for optimal combination of patient and treatment regimens.
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http://dx.doi.org/10.1172/JCI65833 | DOI Listing |
Cancer Sci
December 2024
Department of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Ovarian carcinosarcoma (OCS) is a rare and aggressive tumor, and the development of its sarcomatous component is believed to be due to epithelial-mesenchymal transition (EMT). The SWIch/sucrose nonfermentable chromatin remodeling factor (CRF) is closely related to EMT; however, the relationship between CRF and EMT in OCS remains unclear. In this study, we analyzed the protein expression of CRFs, including ARID1A and SMARCA4, and their downstream mRNA expression in 28 OCS cases, two fallopian tube CS cases, and one peritoneal CS case.
View Article and Find Full Text PDFBMJ Support Palliat Care
December 2024
Department of Obstetrics, Gynecology and Reproductive Sciences, University of Manitoba, Winnipeg, Manitoba, Canada.
Objective: To determine if anaemia and blood transfusions in the perioperative, chemotherapy and radiation treatment periods are associated with overall survival (OS) and recurrence-free survival (RFS) in high-grade endometrial cancer.
Methods: This retrospective cohort study examined patients at a single centre treated for high-grade endometrial cancer (2010-2023). This included International Federation of Gynecology and Obstetrics (FIGO) grade 3 endometrioid, serous, carcinosarcoma, mixed, clear cell, mucinous, dedifferentiated and undifferentiated histology.
Pathol Res Pract
December 2024
Department of Pathology, Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
Background: Patients with high-grade serous carcinoma (HGSC) are commonly diagnosed at late disease stages and after primary tumors have disseminated in the peritoneum. The overexpression of tight junction proteins has been associated with poor prognosis in this setting, potentially reflecting the tumor´s adaptive changes in the disease cascade.
Methods: By performing immunohistochemistry in a large single-center cohort of a total of 705 HGSC, we test the hypothesis that the protein expression of PReferentially expressed Antigen of MElanoma (PRAME) contains prognostic, predictive or clinically translatable information.
Cancer Cell Int
December 2024
Center for Prevention and Therapy of Gynecological Cancers, Department of Research, Hualien, 970, Taiwan, ROC.
Cancer Discov
December 2024
Brigham and Women's Hospital, Boston, MA, United States.
High-Grade Serous Ovarian Cancer (HGSOC) originates from fallopian tube (FT) precursors. However, the molecular changes that occur as precancerous lesions progress to HGSOC are not well understood. To address this, we integrated high-plex imaging and spatial transcriptomics to analyze human tissue samples at different stages of HGSOC development, including p53 signatures, serous tubal intraepithelial carcinomas (STIC), and invasive HGSOC.
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