A comprehensively characterized cell line panel highly representative of clinical ovarian high-grade serous carcinomas

Kelsie L. Thu; Mahboubeh Papari-Zareei; Victor Stastny; Kai Song; Michael Peyton; Victor D. Martinez; Yu An Zhang; Isabel B. Castro; Marileila Varella-Garcia; Hanquan Liang; Chao Xing; Ralf Kittler; Sara Milchgrub; Diego H. Castrillon; Heather L. Davidson; C. Patrick Reynolds; Wan L. Lam; Jayanthi Lea; Adi F. Gazdar

doi:10.18632/oncotarget.9929

A comprehensively characterized cell line panel highly representative of clinical ovarian high-grade serous carcinomas

Kelsie L. Thu, Mahboubeh Papari-Zareei, Victor Stastny, Kai Song, Michael Peyton, Victor D. Martinez, Yu An Zhang, Isabel B. Castro, Marileila Varella-Garcia, Hanquan Liang, Chao Xing, Ralf Kittler, Sara Milchgrub, Diego H. Castrillon, Heather L. Davidson, C. Patrick Reynolds, Wan L. Lam, Jayanthi Lea, Adi F. Gazdar

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20 Citations (Scopus)

Résumé

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.

Langue d'origine	English
Pages (de-à)	50489-50499
Nombre de pages	11
Journal	Oncotarget
Volume	8
Numéro de publication	31
DOI	https://doi.org/10.18632/oncotarget.9929
Statut de publication	Published - févr. 7 2017
Publié à l'externe	Oui

Note bibliographique

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.

ASJC Scopus Subject Areas

Oncology

PubMed: MeSH publication types

Journal Article

ODD de l’ONU

Cette action contribue à la réalisation des objectifs de développement durable suivants

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10.18632/oncotarget.9929

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Thu, K. L., Papari-Zareei, M., Stastny, V., Song, K., Peyton, M., Martinez, V. D., Zhang, Y. A., Castro, I. B., Varella-Garcia, M., Liang, H., Xing, C., Kittler, R., Milchgrub, S., Castrillon, D. H., Davidson, H. L., Reynolds, C. P., Lam, W. L., Lea, J., & Gazdar, A. F. (2017). A comprehensively characterized cell line panel highly representative of clinical ovarian high-grade serous carcinomas. Oncotarget, 8(31), 50489-50499. https://doi.org/10.18632/oncotarget.9929

Thu, KL, Papari-Zareei, M, Stastny, V, Song, K, Peyton, M, Martinez, VD, Zhang, YA, Castro, IB, Varella-Garcia, M, Liang, H, Xing, C, Kittler, R, Milchgrub, S, Castrillon, DH, Davidson, HL, Reynolds, CP, Lam, WL, Lea, J & Gazdar, AF 2017, 'A comprehensively characterized cell line panel highly representative of clinical ovarian high-grade serous carcinomas', Oncotarget, vol. 8, n° 31, pp. 50489-50499. https://doi.org/10.18632/oncotarget.9929

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title = "A comprehensively characterized cell line panel highly representative of clinical ovarian high-grade serous carcinomas",

abstract = "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.",

author = "Thu, {Kelsie L.} and Mahboubeh Papari-Zareei and Victor Stastny and Kai Song and Michael Peyton and Martinez, {Victor D.} and Zhang, {Yu An} and Castro, {Isabel B.} and Marileila Varella-Garcia and Hanquan Liang and Chao Xing and Ralf Kittler and Sara Milchgrub and Castrillon, {Diego H.} and Davidson, {Heather L.} and Reynolds, {C. Patrick} and Lam, {Wan L.} and Jayanthi Lea and Gazdar, {Adi F.}",

note = "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: {\textcopyright} Thu et al.",

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AU - Thu, Kelsie L.

AU - Papari-Zareei, Mahboubeh

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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.

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PY - 2017/2/7

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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.

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A comprehensively characterized cell line panel highly representative of clinical ovarian high-grade serous carcinomas

Résumé

Note bibliographique

ASJC Scopus Subject Areas

PubMed: MeSH publication types

ODD de l’ONU

Accès au document

Autres fichiers et liens

Empreinte numérique

Citer