Abstract

Genomic profiling of Bronchoalveolar Lavage (BAL) samples may be useful for tumor profiling and diagnosis in the clinic. Here, we compared tumor-derived mutations detected in BAL samples from subjects with non-small cell lung cancer (NSCLC) to those detected in matched plasma samples. CAncer Personalized Profiling by deep Sequencing (CAPP-Seq) was used to genotype DNA purified from BAL, plasma and tumor samples from patients with NSCLC. The characteristics of cell-free DNA (cfDNA) isolated from BAL fluid were first characterized to optimize the technical approach. Somatic mutations identified in tumor were then compared to those identified in BAL and plasma, and the potential of BAL cfDNA analysis to distinguish lung cancer patients from risk-matched controls was explored. In total, 200 biofluid and tumor samples from 38 cases and 21 controls undergoing BAL for lung cancer evaluation were profiled. More tumor variants were identified in BAL cfDNA than plasma cfDNA in all stages (p<0.001) and in stage I-II disease only. Four of 21 controls harbored low levels of cancer-associated driver mutations in BAL cfDNA (mean VAF=0.5%), suggesting the presence of somatic mutations in non-malignant airway cells. Finally, using a Random Forest model with leave-one-out cross validation, an exploratory BAL genomic classifier identified lung cancer with 69% sensitivity and 100% specificity in this cohort and detected more cancers than BAL cytology. Detecting tumor-derived mutations by targeted sequencing of BAL cfDNA is technically feasible and appears to be more sensitive than plasma profiling. Further studies are required to define optimal diagnostic applications and clinical utility.

View details for DOI 10.1158/0008-5472.CAN-22-0554

View details for PubMedID 35748739