Comprehensive molecular profiling of high-grade serous ovarian cancer

The diversity and heterogeneity within high-grade serous ovarian cancer (HGSC) is not well understood. Here, we performed comprehensive molecular analysis, including high-pass whole genome sequencing, targeted deep sequencing, RNA sequencing, reverse phase protein arrays and immune assessment, 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.

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

3 Datasets 3 Publications

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001005238	RNA-seq of 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 (ER) or poor response(PR).	Illumina HiSeq 2000	74
EGAD00001005239	T200 caner panel sequencing 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 (ER) or poor response (PR).	Illumina HiSeq 2000	75
EGAD00001005240	The diversity and heterogeneity within high-grade serous ovarian cancer (HGSC) is not well understood. We performed whole genome sequencing 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.	HiSeq X Ten	103

Publications	Citations
Molecular Analysis of Clinically Defined Subsets of High-Grade Serous Ovarian Cancer. Lee S, Zhao L, Rojas C, Bateman NW, Yao H, Lara OD, Celestino J, Morgan MB, Nguyen TV, Conrads KA, Rangel KM, Dood RL, Hajek RA, Fawcett GL, Chu RA, Wilson K, Loffredo JL, Viollet C, Jazaeri AA, Dalgard CL, Mao X, Song X, Zhou M, Hood BL, Banskota N, Wilkerson MD, Te J, Soltis AR, Roman K, Dunn A, Cordover D, Eterovic AK, Liu J, Burks JK, Baggerly KA, Fleming ND, Lu KH, Westin SN, Coleman RL, Mills GB, Casablanca Y, Zhang J, Conrads TP, Maxwell GL, Futreal PA, Sood AK. Cell Rep 31: 2020 107502	61
Spatially resolved transcriptomics of high-grade serous ovarian carcinoma. Stur E, Corvigno S, Xu M, Chen K, Tan Y, Lee S, Liu J, Ricco E, Kraushaar D, Castro P, Zhang J, Sood AK. iScience 25: 2022 103923	36
A deconvolution framework that uses single-cell sequencing plus a small benchmark data set for accurate analysis of cell type ratios in complex tissue samples. Guo S, Liu X, Cheng X, Jiang Y, Ji S, Liang Q, Koval A, Li Y, Owen LA, Kim IK, Aparicio A, Lee S, Sood AK, Kopetz S, Shen JP, Weinstein JN, DeAngelis MM, Chen R, Wang W. Genome Res 35: 2025 147-161	0