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Nguyen, B.H.P. ; Ohnmacht, A. ; Sharifli, S. ; Garnett, M.J.* ; Menden, M.P.

Inferred ancestral origin of cancer cell lines associates with differential drug response.

Int. J. Mol. Sci. 22:10135 (2021)
Verlagsversion Forschungsdaten DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Disparities between risk, treatment outcomes and survival rates in cancer patients across the world may be attributed to socioeconomic factors. In addition, the role of ancestry is frequently discussed. In preclinical studies, high‐throughput drug screens in cancer cell lines have empowered the identification of clinically relevant molecular biomarkers of drug sensitivity; however, the genetic ancestry from tissue donors has been largely neglected in this setting. In order to address this, here, we show that the inferred ancestry of cancer cell lines is conserved and may impact drug response in patients as a predictive covariate in high‐throughput drug screens. We found that there are differential drug responses between European and East Asian ancestries, especially when treated with PI3K/mTOR inhibitors. Our finding emphasizes a new angle in precision medicine, as cancer intervention strategies should consider the germline landscape, thereby reducing the failure rate of clinical trials.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Ancestry ; Biomarkers ; Cancer ; High‐throughput Drug Screen; Ethnic-differences; Susceptibility; Landscape
Sprache englisch
Veröffentlichungsjahr 2021
HGF-Berichtsjahr 2021
ISSN (print) / ISBN 1661-6596
e-ISSN 1422-0067
Zeitschrift International Journal of Molecular Sciences
Quellenangaben Band: 22, Heft: 18, Seiten: , Artikelnummer: 10135 Supplement: ,
Verlag MDPI
Verlagsort Basel
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Computational Biology (ICB)
POF Topic(s) 30205 - Bioengineering and Digital Health
90000 - German Center for Diabetes Research
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-554700-001
G-501900-382
Förderungen
European Union's Horizon 2020 research and innovation programme
DOI 10.3390/ijms221810135
WOS ID WOS:000699785800001
Scopus ID 85115134449
PubMed ID 34576298
Erfassungsdatum 2021-09-29
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