Cell-free DNA profiling of metastatic prostate cancer reveals microsatellite instability, structural rearrangements and clonal hematopoiesis.
Cell-free DNA profiling of metastatic prostate cancer reveals microsatellite instability, structural rearrangements and clonal hematopoiesis.
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DOI:
10.1186/s13073-018-0595-5
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发表时间:
2018-11-21
期刊:
影响因子:
12.3
通讯作者:
Lindberg J
中科院分区:
文献类型:
--
作者:
Mayrhofer M;De Laere B;Whitington T;Van Oyen P;Ghysel C;Ampe J;Ost P;Demey W;Hoekx L;Schrijvers D;Brouwers B;Lybaert W;Everaert E;De Maeseneer D;Strijbos M;Bols A;Fransis K;Oeyen S;van Dam PJ;Van den Eynden G;Rutten A;Aly M;Nordström T;Van Laere S;Rantalainen M;Rajan P;Egevad L;Ullén A;Yachnin J;Dirix L;Grönberg H;Lindberg J
There are multiple existing and emerging therapeutic avenues for metastatic prostate cancer, with a common denominator, which is the need for predictive biomarkers. Circulating tumor DNA (ctDNA) has the potential to cost-efficiently accelerate precision medicine trials to improve clinical efficacy and diminish costs and toxicity. However, comprehensive ctDNA profiling in metastatic prostate cancer to date has been limited. A combination of targeted and low-pass whole genome sequencing was performed on plasma cell-free DNA and matched white blood cell germline DNA in 364 blood samples from 217 metastatic prostate cancer patients. ctDNA was detected in 85.9% of baseline samples, correlated to line of therapy and was mirrored by circulating tumor cell enumeration of synchronous blood samples. Comprehensive profiling of the androgen receptor (AR) revealed a continuous increase in the fraction of patients with intra-AR structural variation, from 15.4% during first-line metastatic castration-resistant prostate cancer therapy to 45.2% in fourth line, indicating a continuous evolution of AR during the course of the disease. Patients displayed frequent alterations in DNA repair deficiency genes (18.0%). Additionally, the microsatellite instability phenotype was identified in 3.81% of eligible samples (≥ 0.1 ctDNA fraction). Sequencing of non-repetitive intronic and exonic regions of PTEN, RB1, and TP53 detected biallelic inactivation in 47.5%, 20.3%, and 44.1% of samples with ≥ 0.2 ctDNA fraction, respectively. Only one patient carried a clonal high-impact variant without a detectable second hit. Intronic high-impact structural variation was twice as common as exonic mutations in PTEN and RB1. Finally, 14.6% of patients presented false positive variants due to clonal hematopoiesis, commonly ignored in commercially available assays. ctDNA profiles appear to mirror the genomic landscape of metastatic prostate cancer tissue and may cost-efficiently provide somatic information in clinical trials designed to identify predictive biomarkers. However, intronic sequencing of the interrogated tumor suppressors challenges the ubiquitous focus on coding regions and is vital, together with profiling of synchronous white blood cells, to minimize erroneous assignments which in turn may confound results and impede true associations in clinical trials. The online version of this article (10.1186/s13073-018-0595-5) contains supplementary material, which is available to authorized users.
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DOI:
10.1056/nejmoa1409405
发表时间:
2014-12-25
期刊:
The New England journal of medicine
影响因子:
--
作者:
Genovese G;Kähler AK;Handsaker RE;Lindberg J;Rose SA;Bakhoum SF;Chambert K;Mick E;Neale BM;Fromer M;Purcell SM;Svantesson O;Landén M;Höglund M;Lehmann S;Gabriel SB;Moran JL;Lander ES;Sullivan PF;Sklar P;Grönberg H;Hultman CM;McCarroll SA
通讯作者:
McCarroll SA
影响因子:
28.2
作者:
Goodall J;Mateo J;Yuan W;Mossop H;Porta N;Miranda S;Perez-Lopez R;Dolling D;Robinson DR;Sandhu S;Fowler G;Ebbs B;Flohr P;Seed G;Rodrigues DN;Boysen G;Bertan C;Atkin M;Clarke M;Crespo M;Figueiredo I;Riisnaes R;Sumanasuriya S;Rescigno P;Zafeiriou Z;Sharp A;Tunariu N;Bianchini D;Gillman A;Lord CJ;Hall E;Chinnaiyan AM;Carreira S;de Bono JS;TOPARP-A investigators
通讯作者:
TOPARP-A investigators
影响因子:
23.4
作者:
Barbieri, Christopher E.;Chinnaiyan, Arul M.;Lerner, Seth P.;Swanton, Charles;Rubin, Mark A.
通讯作者:
Rubin, Mark A.
影响因子:
3.7
作者:
Henao Diaz E;Yachnin J;Grönberg H;Lindberg J
通讯作者:
Lindberg J
影响因子:
23.4
作者:
De laere, Bram;van Dam, Pieter-Jan;Lindberg, Johan
通讯作者:
Lindberg, Johan