Running title: Somatic genomic landscape of circulating tumor DNA Keywords: circulating tumor DNA, tumor heterogeneity, resistance, genomic landscape, cfDNA clonality Financial support: The study was funded by and conducted at Guardant Health, Inc. No additional grant support or administrative support was provided for the study.
*Corresponding author:Stephen R. Fairclough
Translational relevanceThis study describes genomic alterations from the largest cell-free circulating tumor DNA cohort to date, as derived from regular clinical practice. The high prevalence of resistance alterations found in advanced, treated cancer patients necessitated accurate methods for determining mutation clonality and driver/resistance status from plasma. We provide such methods, thereby extending the utility of cell-free DNA sequencing analysis. Our finding of an association between estimated circulating tumor DNA (ctDNA) levels and tumor mutational burden ascertained from plasma suggests that ctDNA level is likely an important variable to consider for immunotherapy applications of ctDNA analysis. Although cell-free DNA can provide a summary of tumor heterogeneity across multiple metastatic sites in a patient, our findings of high variability in ctDNA levels across patients, and its impact on variant detection, highlight the need for an improved understanding of factors influencing ctDNA levels and safe methods for maximizing them at the time of ctDNA testing.
AbstractPurpose: Cell-free DNA (cfDNA) sequencing provides a non-invasive method for obtaining actionable genomic information to guide personalized cancer treatment, but the presence of multiple alterations in circulation related to treatment and tumor heterogeneity complicate the interpretation of the observed variants.Experimental Design: We describe the somatic mutation landscape of 70 cancer genes from cfDNA deep-sequencing analysis of 21,807 patients with treated, late-stage cancers across >50 cancer types. To facilitate interpretation of the genomic complexity of circulating tumor DNA in advanced, treated cancer patients, we developed methods to identify cfDNA copy-number driver alterations and cfDNA clonality.Results: Patterns and prevalence of cfDNA alterations in major driver genes for non-small cell lung, breast, and colorectal cancer largely recapitulated those from tumor tissue sequencing compendia (TCGA and COSMIC;, with the principle differences in alteration prevalence being due to patient treatment. This highly sensitive cfDNA sequencing assay revealed numerous subclonal tumor-derived alterations, expected as a result of clonal evolution, but leading to an apparent departure from mutual exclusivity in treatment-naïve tumors. Upon applying novel cfDNA clonality and copy-number driver identification methods, robust mutual exclusivity was observed among predicted truncal driver cfDNA alterations (FDR=5x10 -7 for EGFR and ERBB2), in effect distinguishing tumor-initiating alterations from secondary alterations. Treatment-associated resistance, including both novel ...