Proteomics

Dataset Information

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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) is not well understood. Comprehensive molecular analyses were performed including high-pass whole-genome sequencing, targeted deep DNA sequencing, RNA sequencing, reverse-phase protein arrays, mass spectrometry-based proteomics and phosphoproteomics, and immune profiling on primary and metastatic sites from highly clinically annotated HGSC samples. Samples were obtained pre-treatment based on a laparoscopic triage algorithm from patients who underwent R0 tumor debulking or received neoadjuvant chemotherapy (NACT) with excellent or poor response.

INSTRUMENT(S): Orbitrap Fusion Lumos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Epithelial Cell

DISEASE(S): Malignant Neoplasm Of Ovary

SUBMITTER: Brian Hood  

LAB HEAD: Thomas P. Conrads

PROVIDER: PXD014980 | Pride | 2020-05-27

REPOSITORIES: Pride

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Publications

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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