scholarly journals Proteomic Studies on the Management of High-Grade Serous Ovarian Cancer Patients: A Mini-Review

Cancers ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 2067
Author(s):  
Melissa Bradbury ◽  
Eva Borràs ◽  
Assumpció Pérez-Benavente ◽  
Antonio Gil-Moreno ◽  
Anna Santamaria ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
The Cancer Genome Atlas ◽  
Response To Treatment ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Post Translational Modifications ◽  
Platinum Based Chemotherapy ◽  
Standardized Treatment ◽  
Cancer Genome Atlas ◽  
New Biomarkers

High-grade serous ovarian cancer (HGSC) remains the most common and deadly subtype of ovarian cancer. It is characterized by its late diagnosis and frequent relapse despite standardized treatment with cytoreductive surgery and platinum-based chemotherapy. The past decade has seen significant advances in the clinical management and molecular understanding of HGSC following the publication of the Cancer Genome Atlas (TCGA) researchers and the introduction of targeted therapies with anti-angiogenic drugs and poly(ADP-ribose) polymerase inhibitors in specific subgroups of patients. We provide a comprehensive review of HGSC, focusing on the most important molecular advances aimed at providing a better understanding of the disease and its response to treatment. We emphasize the role that proteomic technologies are now playing in these two aspects of the disease, through the identification of proteins and their post-translational modifications in ovarian cancer tumors. Finally, we highlight how the integration of proteomics with genomics, exemplified by the work performed by the Clinical Proteomic Tumor Analysis Consortium (CPTAC), can guide the development of new biomarkers and therapeutic targets.

scholarly journals Radiogenomics of High-Grade Serous Ovarian Cancer: Multireader Multi-Institutional Study from the Cancer Genome Atlas Ovarian Cancer Imaging Research Group

Radiology ◽  
2017 ◽  
Vol 285 (2) ◽  
pp. 482-492 ◽  
Author(s):  
Hebert Alberto Vargas ◽  
Erich P. Huang ◽  
Yulia Lakhman ◽  
Joseph E. Ippolito ◽  
Priya Bhosale ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Research Group ◽  
Cancer Imaging ◽  
Cancer Genome ◽  
The Cancer Genome Atlas ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Imaging Research ◽  
Cancer Genome Atlas ◽  
Genome Atlas

scholarly journals Development of a Genomic Signatures-Based Predictor of Initial Platinum-Resistance in Advanced High-Grade Serous Ovarian Cancer Patients

2021 ◽  
Vol 10 ◽  
Author(s):  
Yuan Li ◽  
Xiaolan Zhang ◽  
Yan Gao ◽  
Chunliang Shang ◽  
Bo Yu ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Predictive Accuracy ◽  
Predictive Performance ◽  
Platinum Resistance ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Single Nucleotide Variants ◽  
Tissue Samples ◽  
Platinum Sensitive ◽  
Platinum Based Chemotherapy

BackgroundHigh grade serous ovarian cancer (HGSOC) is the most common subtype of ovarian cancer. Although platinum-based chemotherapy has been the cornerstone for HGSOC treatment, nearly 25% of patients would have less than 6 months of interval since the last platinum chemotherapy, referred to as platinum-resistance. Currently, no precise tools to predict platinum resistance have been developed yet.MethodsNinety-nine HGSOC patients, who have finished cytoreductive surgery and platinum-based chemotherapy in Peking University Third Hospital from 2018 to 2019, were enrolled. Whole-genome sequencing (WGS) and whole-exome sequencing (WES) were performed on the collected tumor tissue samples to establish a platinum-resistance predictor in a discovery cohort of 57 patients, and further validated in another 42 HGSOC patients.ResultsA high prevalence of alterations in DNA damage repair (DDR) pathway, including BRCA1/2, was identified both in the platinum-sensitive and resistant HGSOC patients. Compared with the resistant subgroup, there was a trend of higher prevalence of homologous recombination deficiency (HRD) in the platinum-sensitive subgroup (78.95% vs. 47.37%, p=0.0646). Based on the HRD score, microhomology insertions and deletions (MHID), copy number changes load, duplication load of 1–100 kb, single nucleotide variants load, and eight other mutational signatures, a combined predictor of platinum-resistance, named as DRDscore, was established. DRDscore outperformed in predicting the platinum-sensitivity than the previously reported biomarkers with a predictive accuracy of 0.860 at a threshold of 0.7584. The predictive performance of DRDscore was validated in an independent cohort of 42 HGSOC patients with a sensitivity of 90.9%.ConclusionsA multi-genomic signature-based analysis enabled the prediction of initial platinum resistance in advanced HGSOC patients, which may serve as a novel assessment of platinum resistance, provide therapeutic guidance, and merit further validation.

scholarly journals Role of discoidin domain receptor 2 (DDR2) and microRNA-182 in survival of women with high-grade serous ovarian cancer

Tumor Biology ◽  
2019 ◽  
Vol 41 (1) ◽  
pp. 101042831882398
Author(s):  
Susana Ramalho ◽  
Liliana AL De Angelo Andrade ◽  
Cássio Cardoso Filho ◽  
Rodrigo de Andrade Natal ◽  
Marina Pavanello ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Residual Disease ◽  
Figo Stage ◽  
Stage I ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Discoidin Domain Receptor ◽  
Post Surgery ◽  
Platinum Based Chemotherapy ◽  
Discoidin Domain Receptor 2

The objective of this study is to evaluate the relationship between discoidin domain receptor 2 (DDR2) and miR-182 expression with response to platinum-based chemotherapy and survival in women with high-grade serous ovarian cancer (HGSOC). We evaluated 78 women with HGSOC stages I-IV, diagnosed between 1996 and 2013, and followed up until 2016. DDR2 expression was assessed using immunohistochemistry on tissue microarray slides. The microRNAs were evaluated by qRT-PCR. DDR2 expression was high in 11 (14.1%) women. PFS was significantly lower in women with FIGO stage I/II – versus III/IV, post-surgery residual disease and high expression of DDR2. Women with postsurgery residual disease, FIGO stage I/II – versus III/IV and DDR2 expression had worse OS, but only post-surgery residual disease remained an independent prognostic factor for worse OS in multivariable analysis. miR-182 expression levels were significantly lower in patients harboring tumors with higher expression of DDR2 (p < 0.001). In this relatively large cohort of women with HSGOC, higher DDR2 expression was associated with lower miR-182 levels and worse PFS, suggesting that these molecules may be associated with mechanisms of HGSOC progression.

scholarly journals Is BRCA mutational status a predictor of platinum-based chemotherapy related hematologic toxicity in high-grade serous ovarian cancer patients?

2019 ◽  
Vol 154 (1) ◽  
pp. 138-143 ◽  
Author(s):  
Federica Tomao ◽  
Lucia Musacchio ◽  
Federica Di Mauro ◽  
Serena Maria Boccia ◽  
Violante Di Donato ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cancer Patients ◽  
Hematologic Toxicity ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Mutational Status ◽  
Platinum Based Chemotherapy

scholarly journals Immune Modeling Analysis Reveals Immunologic Signatures Associated With Improved Outcomes in High Grade Serous Ovarian Cancer

2021 ◽  
Vol 11 ◽  
Author(s):  
Nicole E. James ◽  
Katherine Miller ◽  
Natalie LaFranzo ◽  
Erin Lips ◽  
Morgan Woodman ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Immune Cell ◽  
Immune Escape ◽  
Progression Free Survival ◽  
The Cancer Genome Atlas ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Immunological Responses ◽  
Modeling Analysis ◽  
Immune Cell Subsets

Epithelial ovarian cancer (EOC) is the most lethal gynecologic malignancy worldwide, as patients are typically diagnosed at a late stage and eventually develop chemoresistant disease following front-line platinum-taxane based therapy. Only modest results have been achieved with PD-1 based immunotherapy in ovarian cancer patients, despite the fact that immunological responses are observed in EOC patients. Therefore, the goal of this present study was to identify novel immune response genes and cell subsets significantly associated with improved high grade serous ovarian cancer (HGSOC) patient prognosis. A transcriptomic-based immune modeling analysis was employed to determine levels of 8 immune cell subsets, 10 immune escape genes, and 22 co-inhibitory/co-stimulatory molecules in 26 HGSOC tumors. Multidimensional immune profiling analysis revealed CTLA-4, LAG-3, and Tregs as predictive for improved progression-free survival (PFS). Furthermore, the co-stimulatory receptor ICOS was also found to be significantly increased in patients with a longer PFS and positively correlated with levels of CTLA-4, PD-1, and infiltration of immune cell subsets. Both ICOS and LAG-3 were found to be significantly associated with improved overall survival in The Cancer Genome Atlas (TCGA) ovarian cancer cohort. Finally, PVRL2 was identified as the most highly expressed transcript in our analysis, with immunohistochemistry results confirming its overexpression in HGSOC samples compared to normal/benign. Results were corroborated by parallel analyses of TCGA data. Overall, this multidimensional immune modeling analysis uncovers important prognostic immune factors that improve our understanding of the unique immune microenvironment of ovarian cancer.

scholarly journals Somatic Mutations in BRCA2 BRC Repeat Associated with Outcome in Patients with High Grade Serous Ovarian Cancer

2020 ◽  
Author(s):  
Guonan Zhang ◽  
Jie Zhang ◽  
Yi Zhu ◽  
Hong Liu ◽  
Yu Shi ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Somatic Mutations ◽  
Progression Free Survival ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Blood Leukocytes ◽  
Free Survival ◽  
Chemotherapy Sensitivity ◽  
Factors Affecting ◽  
Platinum Based Chemotherapy

Abstract BackgroundThe interaction between BRCA2 BRC repeats and RAD51 is one of the great important factors affecting the homologous recombination in DNA damage repair of tumor cells. We investigated the effect of BRCA2 BRC repeat mutations on outcome in patients with high grade serous ovarian cancer (HGSOC) who received platinum-based chemotherapy.MethodsWe identified the type and location of BRCA2 BRC repeat mutations by PCR and DNA sequencing in tumor and peripheral blood leukocytes (PBL) samples of 113 patients with stage IIIC/IV high grade serous ovarian cancer (HGSOC), and assessed chemotherapy-free interval (CFI), progression-free survival (PFS) and overall survival (OS).Results24 (21.23%) cases with somatic mutation were identified in 113 HGSOC patients. Among them, 8 (7.1%) cases with nonsense mutation resulting in BRCA2 truncation significantly prolonged median CFI (37 vs 8 months,P=0.000), PFS (43 vs 14 months, p=0.000) and OS (56 vs 31 months, P=0.002); Interestingly, 16 (14.13%) cases with missense mutation also prolonged median CFI (15 vs 8 months, P=0.044), PFS (21 vs 14 months, P=0.049) and OS ( 38 vs 31 months, P=0.037). ConclusionsSomatic mutations in BRCA2 BRC5-8 repeat motifs are associated with platinum-based chemotherapy sensitivity and a better outcome in patients with HGSOC.

scholarly journals Gene networks and expression quantitative trait loci associated with platinum-based chemotherapy response in high-grade serous ovarian cancer

2020 ◽  
Author(s):  
Jihoon Choi ◽  
Anastasiya Tarnouskaya ◽  
Sean Nesdoly ◽  
Danai G. Topouza ◽  
Madhuri Koti ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Gene Networks ◽  
The Cancer Genome Atlas ◽  
Chemotherapy Response ◽  
High Grade ◽  
Expression Quantitative Trait Loci ◽  
Platinum Based Chemotherapy ◽  
Trait Loci

Abstract Background A major impediment in the treatment of ovarian cancer is the relapse of platinum-resistant tumors, which occurs in approximately 25% of patients. A better understanding of the biological mechanisms underlying platinum-based response will improve treatment efficacy through genetic testing and novel therapies.Methods Using data from high-grade serous ovarian carcinoma (HGSOC) patients in the Cancer Genome Atlas (TCGA), we classified those who remained progression-free for 12 months following platinum-based chemotherapy as “chemo-sensitive” (N=160) and those who had recurrence within six months as “chemo-resistant” (N=110). Univariate and multivariate analysis of expression microarrays identified differentially expressed genes and co-expression gene networks associated with chemotherapy response. Moreover, we integrated genomics data to determine expression quantitative trait loci (eQTL).Results Differential expression of the Valosin-containing protein (VCP) gene and five co-expression gene networks were associated with chemotherapy response in HGSOC. VCP and the gene networks contribute to protein processing in the endoplasmic reticulum, which has been implicated in chemotherapy response. These findings were successfully replicated using independent replication cohort. Furthermore, 192 QTLs were associated with these gene networks and BRCA2 expression.Conclusion This study implicates both known and novel genes as well as biological networks underlying response to platinum-based chemotherapy among HGSOC patients.

scholarly journals Examining the interaction between TGFBR3 and ESRRA in ovarian cancer prognosis

2016 ◽  
Author(s):  
Alun Passey ◽  
Robert Brown ◽  
Charlotte S. Wilhelm-Benartzi
Keyword(s):  
Ovarian Cancer ◽  
Conflicts Of Interest ◽  
The Cancer Genome Atlas ◽  
Cancer Prognosis ◽  
Serous Ovarian Cancer ◽  
Cancer Genome Atlas ◽  
A Cell ◽  
Funding Support ◽  
Functional Investigation ◽  
Ovarian Cancer Prognosis

ABSTRACTThe authors found that ESRRA when co-expressed at high levels with TGFβR3 may be prognostic for serous ovarian cancer overall survival in data from the Cancer Genome Atlas; however, this result was not validated in further datasets. A cell line was also identified in this study for future functional investigation of interactions between ESRRA and TGFβR3 in the context of oestrogen signaling in order to further elucidate their potential roles as prognostic biomarkers for serous ovarian cancer.FUNDING SUPPORTThis work was supported by Cancer Research UK program A6689 (RB and CSWB) and the Medical Research Council (AP)CONFLICT OF INTEREST DISCLOSURESThe authors have declared no conflicts of interest.AUTHOR CONTRIBUTIONSCSWB designed the study. AP, CSWB, and RB developed the methodology. AP and CSWB collected the data. AP, CSWB, and RB wrote the manuscript. CSWB is responsible for the overall content.

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