Scalable whole-exome sequencing of cell-free DNA reveals high concordance with metastatic tumors.
Viktor A AdalsteinssonGavin HaSamuel S FreemanAtish D ChoudhuryDaniel G StoverHeather A ParsonsGregory GydushSarah C ReedDenisse RotemJustin RhoadesDenis LoginovDimitri LivitzDaniel RosebrockIgnaty LeshchinerJaegil KimChip StewartMara RosenbergJoshua M FrancisCheng-Zhong ZhangOfir CohenCoyin OhHuiming DingPaz PolakMax LloydSairah MahmudKarla HelvieMargaret S MerrillRebecca A SantiagoEdward P O'ConnorSeong H JeongRachel LeesonRachel M BarryJoseph F KramkowskiZhenwei ZhangLaura PolacekJens G LohrMolly SchleicherEmily LipscombAndrea SaltzmanNelly M OliverLori MariniAdrienne G WaksLauren C HarshmanSara M TolaneyEliezer M Van AllenEric P WinerNancy U LinMari NakabayashiMary-Ellen TaplinCory M JohannessenLevi A GarrawayTodd R GolubJesse S BoehmNikhil WagleGad A GetzJ Christopher LoveMatthew L MeyersonPublished in: Nature communications (2017)
Whole-exome sequencing of cell-free DNA (cfDNA) could enable comprehensive profiling of tumors from blood but the genome-wide concordance between cfDNA and tumor biopsies is uncertain. Here we report ichorCNA, software that quantifies tumor content in cfDNA from 0.1× coverage whole-genome sequencing data without prior knowledge of tumor mutations. We apply ichorCNA to 1439 blood samples from 520 patients with metastatic prostate or breast cancers. In the earliest tested sample for each patient, 34% of patients have ≥10% tumor-derived cfDNA, sufficient for standard coverage whole-exome sequencing. Using whole-exome sequencing, we validate the concordance of clonal somatic mutations (88%), copy number alterations (80%), mutational signatures, and neoantigens between cfDNA and matched tumor biopsies from 41 patients with ≥10% cfDNA tumor content. In summary, we provide methods to identify patients eligible for comprehensive cfDNA profiling, revealing its applicability to many patients, and demonstrate high concordance of cfDNA and metastatic tumor whole-exome sequencing.