HRDetect is a predictor of BRCA1 and BRCA2 deficiency based on mutational signatures.
HRDetect is a predictor of BRCA1 and BRCA2 deficiency based on mutational signatures.
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DOI:
10.1038/nm.4292
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发表时间:
2017-04
期刊:
影响因子:
82.9
通讯作者:
Nik-Zainal S
中科院分区:
文献类型:
--
作者:
Davies H;Glodzik D;Morganella S;Yates LR;Staaf J;Zou X;Ramakrishna M;Martin S;Boyault S;Sieuwerts AM;Simpson PT;King TA;Raine K;Eyfjord JE;Kong G;Borg Å;Birney E;Stunnenberg HG;van de Vijver MJ;Børresen-Dale AL;Martens JW;Span PN;Lakhani SR;Vincent-Salomon A;Sotiriou C;Tutt A;Thompson AM;Van Laere S;Richardson AL;Viari A;Campbell PJ;Stratton MR;Nik-Zainal S
Approximately 1-5% of breast cancers are attributed to inherited mutations in BRCA1 or BRCA2 and are selectively sensitive to poly (ADP-ribose) polymerase (PARP) inhibitors. Germline and/or somatic mutations in BRCA1/BRCA2 in other cancer types also confer selective sensitivity to PARP inhibitors. Thus, assays to detect BRCA1/BRCA2 deficient tumours have been sought. Recently, somatic substitution, insertion/deletion and rearrangement patterns or mutational signatures were associated with BRCA1/BRCA2 dysfunction. We used a supervised lasso logistic regression model to identify six critically distinguishing mutational signatures predictive of BRCA1/BRCA2 deficiency. A weighted model called HRDetect was developed to accurately detect BRCA1/BRCA2 deficient samples. HRDetect identifies BRCA1/BRCA2 deficient tumours with 98.7% sensitivity (AUC 0.98). Application of this model in a cohort of 560 breast cancer patients with 22 known germline BRCA1/BRCA2 mutation carriers, allowed us to identify an additional 22 somatic BRCA1/BRCA2 null tumours and 47 tumours with functional BRCA1/BRCA2-deficiency where no mutation was detected. We validated HRDetect on independent cohorts of breast, ovarian and pancreatic cancers, and demonstrate efficacy on alternative sequencing strategies. Integrating all classes of mutational signatures thus reveals a larger proportion of breast cancer patients (of up to 22%) than hitherto appreciated (~1-5%) that could have selective therapeutic sensitivity to PARP-inhibition.
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影响因子:
16.6
作者:
Morganella, Sandro;Alexandrov, Ludmil B.;Glodzik, Dominik;Zou, Xueqing;Davies, Helen;Staaf, Johan;Sieuwerts, Anieta M.;Brinkman, Arie B.;Martin, Sancha;Ramakrishna, Manasa;Butler, Adam;Kim, Hyung-Yong;Borg, Ake;Sotiriou, Christos;Futreal, P. Andrew;Campbell, Peter J.;Span, Paul N.;Van Laere, Steven;Lakhani, Sunil R.;Eyfjord, Jorunn E.;Thompson, Alastair M.;Stunnenberg, Hendrik G.;de Vijver, Marc J. van;Martens, John W. M.;Borresen-Dale, Anne-Lise;Richardson, Andrea L.;Kong, Gu;Thomas, Gilles;Sale, Julian;Rada, Cristina;Stratton, Michael R.;Birney, Ewan;Nik-Zainal, Serena
通讯作者:
Nik-Zainal, Serena
DOI:
10.1126/science.1251827
发表时间:
2014-03-28
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Couch FJ;Nathanson KL;Offit K
通讯作者:
Offit K
影响因子:
10.3
作者:
Jazaeri, AA;Yee, CJ;Liu, ET
通讯作者:
Liu, ET
影响因子:
64.8
作者:
Bailey, Peter;Chang, David K.;Grimmond, Sean M.
通讯作者:
Grimmond, Sean M.
影响因子:
3.8
作者:
Joosse, Simon A.;van Beers, Erik H.;Nederlof, Petra M.
通讯作者:
Nederlof, Petra M.