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Molecular Analysis of Clinically Defined Subsets of High-Grade Serous Ovarian Cancer
- Source :
- Cell reports
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- SUMMARY The diversity and heterogeneity within high-grade serous ovarian cancer (HGSC), which is the most lethal gynecologic malignancy, is not well understood. Here, we perform comprehensive multi-platform omics analyses, including integrated analysis, and immune monitoring on primary and metastatic sites from highly clinically annotated HGSC samples based on a laparoscopic triage algorithm from patients who underwent complete gross resection (R0) or received neoadjuvant chemotherapy (NACT) with excellent or poor response. We identify significant distinct molecular abnormalities and cellular changes and immune cell repertoire alterations between the groups, including a higher rate of NF1 copy number loss, and reduced chromothripsis-like patterns, higher levels of strong-binding neoantigens, and a higher number of infiltrated T cells in the R0 versus the NACT groups.<br />Graphical Abstract<br />In Brief High-grade serous ovarian cancer (HGSC) patients with no gross residual disease (R0) after primary surgery have the greatest improvement in clinical outcomes. A deep understanding of molecular and cellular heterogeneity of HGSC is lacking. Findings by Lee et al. highlight major molecular and cellular differences between clinically defined subgroups of HGSC.
- Subjects :
- Adult
0301 basic medicine
Oncology
medicine.medical_specialty
medicine.medical_treatment
Immune monitoring
Article
General Biochemistry, Genetics and Molecular Biology
Transcriptome
03 medical and health sciences
0302 clinical medicine
Immune system
Internal medicine
medicine
Serous ovarian cancer
Humans
Metabolomics
Ovarian Neoplasms
Chemotherapy
business.industry
Gene Expression Profiling
Genomics
Middle Aged
Omics
medicine.disease
Cystadenocarcinoma, Serous
Molecular analysis
030104 developmental biology
Female
Ovarian cancer
business
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 22111247
- Volume :
- 31
- Database :
- OpenAIRE
- Journal :
- Cell Reports
- Accession number :
- edsair.doi.dedup.....aa7f54b7de7cbfecedab73b1e1704d31
- Full Text :
- https://doi.org/10.1016/j.celrep.2020.03.066