Abstract 467: Deep single-cell RNA-seq of the putative cell of origin revealed a novel molecular subtype of high-grade serous ovarian cancer with poor prognosis

e17091 Background: Previously four molecular subtypes of high grade serous ovarian cancer (HGSOC) with distinct biological features and clinical outcome have been described: C1 (mesenchymal), C2 (immunoreactive), C4 (differentiated), and C5 (proliferative). Using Nanostring technique and a minimal signature of 39 classifier genes could reproduce the subtypes identified by microarray gene expression profiling (Leong HS et al. Australian Ovarian Cancer Study. J Pathol. 2015). Methods: We characterized paraffin embedded tissue samples from 279 HGSOC patients for molecular subtypes, utilizing the 39 classifier signature and 9 control genes by Nanostring nCounter Analysis System. From 16 patients paired primary and relapsed samples were available. Only chemonaive primary HGSOC patients were included in the study. FFPEs and clinical data were provided by TOC ( www.toc-network.de ). For each sample, probability scores for the four molecular subtypes (C1, C2, C4, and C5) were calculated. The highest calculated score determined the most likely subtype of the tumor. Results: Of all analyzed primary tumor samples, 88 (31.5%) were classified as C1, 83 (29.8%), 53 (19.0%) and 55 (19.7%) as subtypes C2, C4 and C5, respectively. Our results confirmed data by the AOCS study, which described the distribution of HGSOC with 40.2% (C1), 22.5% (C2), 20.1% (C4) and 17.2% (C5), respectively. Within the paired samples, for 12 of the 16 patients dynamic changes in the molecular subtypes between primary and relapse occurred, while in the remaining 4 patients the phenotype was stable. Conclusions: Molecular subtypes of HGSOC using Nanostring technology with a small panel of classifier genes can be confirmed. Furthermore, the data showed that a change of the established molecular subtype might occur during the evolution of the disease, and therefore translate in a different clinical outcome.

Download Full-text

Integrated Molecular Profiling Studies to Characterize the Cellular Origins of High-Grade Serous Ovarian Cancer

10.1101/330597 ◽

2018 ◽

Cited By ~ 9

Author(s):

Kate Lawrenson ◽

Marcos A.S. Fonseca ◽

Felipe Segato ◽

Janet M. Lee ◽

Rosario I. Corona ◽

...

Keyword(s):

Ovarian Cancer ◽

Epithelial Cells ◽

Tumor Development ◽

Molecular Profiling ◽

High Grade ◽

Serous Ovarian Cancer ◽

Cell Of Origin ◽

Ovarian Cancers ◽

Integrative Analyses ◽

Ovarian Surface Epithelial

AbstractHistorically, high-grade serous ovarian cancers (HGSOCs) were thought to arise from ovarian surface epithelial cells (OSECs) but recent data implicate fallopian tube secretory epithelial cells (FTSECs) as the major precursor. We performed transcriptomic and epigenomic profiling to characterize molecular similarities between OSECs, FTSECs and HGSOCs. Transcriptomic signatures of FTSECs were preserved in most HGSOCs reinforcing FTSECs as the predominant cell-of-origin; though an OSEC-like signature was associated with increased chemosensitivity (Padj= 0.03) and was enriched in proliferative-type tumors, suggesting a dualistic model for HGSOC origins. More super-enhancers (SEs) were shared between FTSECs and HGSOCs than between OSECS and HGSOCs (P< 2.2 × 10−16). SOX18, ELF3 and EHF transcription factors (TFs) coincided with HGSOC SEs and represent putative novel drivers of tumor development. Our integrative analyses support a predominantly fallopian origin for HGSOCs and indicate tumorigenesis may be driven by different TFs according to cell-of-origin.

Download Full-text

Clinical significance of metabolism-related genes and FAK activity in ovarian high-grade serous carcinoma

BMC Cancer ◽

10.1186/s12885-021-09148-x ◽

2022 ◽

Vol 22 (1) ◽

Author(s):

Masakazu Sato ◽

Sho Sato ◽

Daisuke Shintani ◽

Mieko Hanaoka ◽

Aiko Ogasawara ◽

...

Keyword(s):

Ovarian Cancer ◽

Poor Prognosis ◽

Medical Center ◽

Parp Inhibitors ◽

Serous Carcinoma ◽

High Grade ◽

Rna Seq ◽

Stage Iiic ◽

Free Survival ◽

Medical University

Abstract Background Administration of poly (ADP-ribose) polymerase (PARP) inhibitors after achieving a response to platinum-containing drugs significantly prolonged relapse-free survival compared to placebo administration. PARP inhibitors have been used in clinical practice. However, patients with platinum-resistant relapsed ovarian cancer still have a poor prognosis and there is an unmet need. The purpose of this study was to examine the clinical significance of metabolic genes and focal adhesion kinase (FAK) activity in advanced ovarian high-grade serous carcinoma (HGSC). Methods The RNA sequencing (RNA-seq) data and clinical data of HGSC patients were obtained from the Genomic Data Commons (GDC) Data Portal and analysed (https://portal.gdc.cancer.gov/). In addition, tumour tissue was sampled by laparotomy or screening laparoscopy prior to treatment initiation from patients diagnosed with stage IIIC ovarian cancer (International Federation of Gynecology and Obstetrics (FIGO) classification, 2014) at the Saitama Medical University International Medical Center, and among the patients diagnosed with HGSC, 16 cases of available cryopreserved specimens were included in this study. The present study was reviewed and approved by the Institutional Review Board of Saitama Medical University International Medical Center (Saitama, Japan). Among the 6307 variable genes detected in both The Cancer Genome Atlas-Ovarian (TCGA-OV) data and clinical specimen data, 35 genes related to metabolism and FAK activity were applied. RNA-seq data were analysed using the Subio Platform (Subio Inc, Japan). JMP 15 (SAS, USA) was used for statistical analysis and various types of machine learning. The Kaplan-Meier method was used for survival analysis, and the Wilcoxon test was used to analyse significant differences. P < 0.05 was considered significant. Results In the TCGA-OV data, patients with stage IIIC with a residual tumour diameter of 1-10 mm were selected for K means clustering and classified into groups with significant prognostic correlations (p = 0.0444). These groups were significantly associated with platinum sensitivity/resistance in clinical cases (χ2 test, p = 0.0408) and showed significant relationships with progression-free survival (p = 0.0307). Conclusion In the TCGA-OV data, 2 groups classified by clustering focusing on metabolism-related genes and FAK activity were shown to be associated with platinum resistance and a poor prognosis.

Download Full-text

Low expression of circular RNA hsa_circ_0078607 predicts poor prognosis in high-grade serous ovarian cancer

10.21203/rs.3.rs-121237/v1 ◽

2020 ◽

Author(s):

Nan Zhang ◽

Zhiyou Yang ◽

Yue Jin ◽

Shanshan Cheng ◽

Jiani Yang ◽

...

Keyword(s):

Ovarian Cancer ◽

Cancer Patients ◽

Cancer Progression ◽

Poor Prognosis ◽

Cox Regression ◽

Prognostic Indicator ◽

High Grade ◽

Serous Ovarian Cancer ◽

Diagnosis And Prognosis ◽

Low Expression

Abstract Background Ovarian cancer remains one of the most lethal malignancies in women which is typically diagnosed at a late stage and has no effective screening strategy. It is essential to explore novel biomarkers for the diagnosis and prognosis of ovarian cancer, as well as therapeutic targets. Recent studies have shown that circRNAs participate in ovarian cancer progression by regulating various processes and being able to act as potential biomarkers for ovarian cancer diagnosis and prognosis. In the present study we aimed to explore the prognostic role of circ_0078607 in high-grade serous ovarian cancer. Results The expression of circ_0078607 in 49 high-grade serous ovarian cancer and adjacent non-cancerous tissue samples were detected by quantitative real-time polymerase chain reaction (qRT-PCR). We noticed that circ_0078607 expression was significantly downregulated in ovarian cancer tissues compared with adjacent non-cancerous tissues. Besides, patients with low circ_0078607 expression exhibited parameters associated with poor prognosis, including advanced FIGO stage and higher serum CA125 level. Kaplan-Meier survival curve analysis showed that both progression-free survival and overall survival were significantly shortened in patients with low circ_0078607 expression. Cox regression model analysis showed that low expression of circ_0078607 was an adverse prognostic indicator for high-grade serous ovarian cancer patients. Conclusions Low expression of circ_0078607 might be an adverse prognostic indicator for high-grade serous ovarian cancer patients.

Download Full-text