2019 ASCO Annual Meeting!
Session: Lung Cancer—Non-Small Cell Metastatic
Type: Poster Session
Time: Sunday June 2, 8:00 AM to 11:00 AM
Location: Hall A
Evaluation of clonal hematopoiesis in late stage NSCLC using a next-generation sequencing panel targeting cancer genes.
Metastatic Non-Small Cell Lung Cancer
Lung Cancer—Non-Small Cell Metastatic
2019 ASCO Annual Meeting
Poster Board Number:
Poster Session (Board #373)
J Clin Oncol 37, 2019 (suppl; abstr 9050)
Author(s): Stephanie J. Yaung, Frederike Fuhlbrück, Johnny Wu, Fergal Casey, Maureen Peterson, Wei Zou, John F. Palma, Namrata S. Patil, Yuqiu Jiang; Roche Sequencing Solutions, Inc., Pleasanton, CA; Roche Sequencing Solutions, Inc., Potsdam, Germany; Genentech, Inc., South San Francisco, CA
Background: Somatic mutations derived from the expansion of clonal populations of blood cells (clonal hematopoiesis of indeterminate potential, or CHIP) may be detected in sequencing of cell-free DNA (cfDNA) samples. We evaluated the potential implications of CHIP in targeted sequencing of lung cancer plasma samples using matched peripheral blood mononuclear cells (PBMC) to identify CHIP. Methods: Samples were evaluated from OAK, a phase 3 trial of atezolizumab in locally advanced or metastatic NSCLC following failure with platinum-based therapy. 94 samples from Cycle 1 Day 1 (C1D1) plasma and matched PBMC were analyzed with the AVENIO ctDNA Surveillance Kit (For Research Use Only, not for use in diagnostic procedures), a 198-kb next-generation sequencing panel targeting cancer genes. Plasma samples from subsequent cycles of therapy (C2D1, C3D1, and C4D1) were also sequenced with the same panel. Using median input amounts of 22.8 ng cfDNA and 50 ng PBMC DNA, we obtained median deduplicated depths of 5413 and 5070, respectively. Results: In C1D1 cfDNA, a median of 120 single nucleotide variants were detected per sample, with 5.13% of variants not identified in matched PBMC (i.e., putative tumor-derived somatic variants) versus 94.87% of variants identified in matched PBMC (i.e., germline or CHIP variants). While the majority of PBMC-matched variants were SNPs with allele frequency (AF) around 50% or 100% as expected, there was a median of 1 (range 0-8) PBMC-matched cfDNA variants per sample with AF below 10%. Consistent with CHIP, the number of PBMC-matched cfDNA variants per subject below AF 10% were positively associated with age (p-value = 0.0145), and TP53 was the most frequently mutated gene. We found similar results in plasma samples from subsequent cycles. Conclusions: Plasma and PBMC sequencing analysis identified potential mutations derived from CHIP. However, 39% of cfDNA samples had zero potential CHIP mutations identified in the study, possibly due to the specific regions targeted by the AVENIO assay. While this study suggests that only a small percentage of variants detected by the AVENIO Surveillance panel in lung cancer are derived from CHIP, further studies are warranted to assess the impact and removal of these variants.