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Molecular Analysis of Clinically Defined Subsets of High-Grade Serous Ovarian Cancer.


ABSTRACT: 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.

SUBMITTER: Lee S 

PROVIDER: S-EPMC7234854 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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Molecular Analysis of Clinically Defined Subsets of High-Grade Serous Ovarian Cancer.

Lee Sanghoon S   Zhao Li L   Rojas Christine C   Bateman Nicholas W NW   Yao Hui H   Lara Olivia D OD   Celestino Joseph J   Morgan Margaret B MB   Nguyen Tri V TV   Conrads Kelly A KA   Rangel Kelly M KM   Dood Robert L RL   Hajek Richard A RA   Fawcett Gloria L GL   Chu Randy A RA   Wilson Katlin K   Loffredo Jeremy L JL   Viollet Coralie C   Jazaeri Amir A AA   Dalgard Clifton L CL   Mao Xizeng X   Song Xingzhi X   Zhou Ming M   Hood Brian L BL   Banskota Nirad N   Wilkerson Matthew D MD   Te Jerez J   Soltis Anthony R AR   Roman Kristin K   Dunn Andrew A   Cordover David D   Eterovic Agda Karina AK   Liu Jinsong J   Burks Jared K JK   Baggerly Keith A KA   Fleming Nicole D ND   Lu Karen H KH   Westin Shannon N SN   Coleman Robert L RL   Mills Gordon B GB   Casablanca Yovanni Y   Zhang Jianhua J   Conrads Thomas P TP   Maxwell George L GL   Futreal P Andrew PA   Sood Anil K AK  

Cell reports 20200401 2


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 excell  ...[more]

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