TY - JOUR
T1 - A comprehensively characterized cell line panel highly representative of clinical ovarian high-grade serous carcinomas
AU - Thu, Kelsie L.
AU - Papari-Zareei, Mahboubeh
AU - Stastny, Victor
AU - Song, Kai
AU - Peyton, Michael
AU - Martinez, Victor D.
AU - Zhang, Yu An
AU - Castro, Isabel B.
AU - Varella-Garcia, Marileila
AU - Liang, Hanquan
AU - Xing, Chao
AU - Kittler, Ralf
AU - Milchgrub, Sara
AU - Castrillon, Diego H.
AU - Davidson, Heather L.
AU - Reynolds, C. Patrick
AU - Lam, Wan L.
AU - Lea, Jayanthi
AU - Gazdar, Adi F.
N1 - Funding Information:
The authors would like to thank Luc Girard and Emily Vucic for their assistance, and The Cancer Genome Atlas consortium for access to their datasets. This work was supported by grants from the Cancer Prevention Research Institute of Texas (RP10763-P1), Canadian Institutes of Health Research (CIHR, FRN 123273, FRN 110949), the Clinical and Translational Science Awards, National Institutes of Health (UL1TR001105, NHLB1R25HL103286 and NCI-CCSG P30 CA046934), scholarships and fellowships from Vanier Canada and CIHR, and a Private Donor
Publisher Copyright:
© Thu et al.
PY - 2017/2/7
Y1 - 2017/2/7
N2 - Recent literature suggests that most widely used ovarian cancer (OVCA) cell models do not recapitulate the molecular features of clinical tumors. To address this limitation, we generated 18 cell lines and 3 corresponding patient-derived xenografts predominantly from high-grade serous carcinoma (HGSOC) peritoneal effusions. Comprehensive genomic characterization and comparison of each model to its parental tumor demonstrated a high degree of molecular similarity. Our characterization included whole exome-sequencing and copy number profiling for cell lines, xenografts, and matched non-malignant tissues, and DNA methylation, gene expression, and spectral karyotyping for a subset of specimens. Compared to the Cancer Genome Atlas (TCGA), our models more closely resembled HGSOC than any other tumor type, justifying their validity as OVCA models. Our meticulously characterized models provide a crucial resource for the OVCA research community that will advance translational findings and ultimately lead to clinical applications.
AB - Recent literature suggests that most widely used ovarian cancer (OVCA) cell models do not recapitulate the molecular features of clinical tumors. To address this limitation, we generated 18 cell lines and 3 corresponding patient-derived xenografts predominantly from high-grade serous carcinoma (HGSOC) peritoneal effusions. Comprehensive genomic characterization and comparison of each model to its parental tumor demonstrated a high degree of molecular similarity. Our characterization included whole exome-sequencing and copy number profiling for cell lines, xenografts, and matched non-malignant tissues, and DNA methylation, gene expression, and spectral karyotyping for a subset of specimens. Compared to the Cancer Genome Atlas (TCGA), our models more closely resembled HGSOC than any other tumor type, justifying their validity as OVCA models. Our meticulously characterized models provide a crucial resource for the OVCA research community that will advance translational findings and ultimately lead to clinical applications.
KW - Cell models
KW - Exome-sequencing
KW - Genomic characterization
KW - High-grade serous ovarian carcinoma
KW - Patient-derived xenograft
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U2 - 10.18632/oncotarget.9929
DO - 10.18632/oncotarget.9929
M3 - Article
C2 - 28881577
AN - SCOPUS:85026755945
SN - 1949-2553
VL - 8
SP - 50489
EP - 50499
JO - Oncotarget
JF - Oncotarget
IS - 31
ER -