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      Driver Mutations in Normal Airway Epithelium Elucidate Spatiotemporal Resolution of Lung Cancer

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          Abstract

          Rationale: Uninvolved normal-appearing airway epithelium has been shown to exhibit specific mutations characteristic of nearby non–small cell lung cancers (NSCLCs). Yet, its somatic mutational landscape in patients with early-stage NSCLC is unknown. Objectives: To comprehensively survey the somatic mutational architecture of the normal airway epithelium in patients with early-stage NSCLC. Methods: Multiregion normal airways, comprising tumor-adjacent small airways, tumor-distant large airways, nasal epithelium and uninvolved normal lung (collectively airway field), matched NSCLCs, and blood cells ( n  = 498) from 48 patients were interrogated for somatic single-nucleotide variants by deep-targeted DNA sequencing and for chromosomal allelic imbalance events by genome-wide genotype array profiling. Spatiotemporal relationships between the airway field and NSCLCs were assessed by phylogenetic analysis. Measurements and Main Results: Genomic airway field carcinogenesis was observed in 25 cases (52%). The airway field epithelium exhibited a total of 269 somatic mutations in most patients ( n  = 36) including key drivers that were shared with the NSCLCs. Allele frequencies of these acquired variants were overall higher in NSCLCs. Integrative analysis of single-nucleotide variants and allelic imbalance events revealed driver genes with shared “two-hit” alterations in the airway field (e.g., TP53 , KRAS , KEAP1 , STK11 , and CDKN2A ) and those with single hits progressing to two in the NSCLCs (e.g., PIK3CA and NOTCH1 ). Conclusions: Tumor-adjacent and tumor-distant normal-appearing airway epithelia exhibit somatic driver alterations that undergo selection-driven clonal expansion in NSCLC. These events offer spatiotemporal insights into the development of NSCLC and, thus, potential targets for early treatment.

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          Most cited references10

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          “Field cancerization” in oral stratified squamous epithelium. Clinical implications of multicentric origin

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            Targeted sequencing reveals clonal genetic changes in the progression of early lung neoplasms and paired circulating DNA

            Lungs resected for adenocarcinomas often harbour minute discrete foci of cytologically atypical pneumocyte proliferations designated as atypical adenomatous hyperplasia (AAH). Evidence suggests that AAH represents an initial step in the progression to adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA) and fully invasive adenocarcinoma. Despite efforts to identify predictive markers of malignant transformation, alterations driving this progression are poorly understood. Here we perform targeted next-generation sequencing on multifocal AAHs and different zones of histologic progression within AISs and MIAs. Multiregion sequencing demonstrated different genetic drivers within the same tumour and reveal that clonal expansion is an early event of tumorigenesis. We find that KRAS, TP53 and EGFR mutations are indicators of malignant transition. Utilizing droplet digital PCR, we find alterations associated with early neoplasms in paired circulating DNA. This study provides insight into the heterogeneity of clonal events in the progression of early lung neoplasia and demonstrates that these events can be detected even before neoplasms have invaded and acquired malignant potential.
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              Genomic Landscape of Atypical Adenomatous Hyperplasia Reveals Divergent Modes to Lung Adenocarcinoma

              There is a dearth of knowledge about the pathogenesis of premalignant lung lesions, especially for atypical adenomatous hyperplasia (AAH), the only known precursor for the major lung cancer subtype adenocarcinoma (LUAD). In this study, we performed deep DNA and RNA sequencing analyses of a set of AAH, LUAD and normal tissues. Somatic BRAF variants were found in 5/22 (23%) of AAH patients, 4/5 of whom had matched LUAD with driver EGFR mutations. KRAS mutations were present in all ever-smoker cases in the cohort (18%) exclusive of the cases with BRAF mutations. Integrative analysis revealed profiles expressed in KRAS -mutant cases ( UBE2C , REL ) and BRAF - mutant cases ( MAX ) of AAH, or common to both sets of cases (suppressed AXL ). Gene sets associated with suppressed anti-tumor (Th1; IL12A , GZMB ) and elevated pro-tumor ( CCR2 , CTLA-4 ) immune signaling were enriched in AAH development and progression. Our results reveal potentially divergent BRAF or KRAS pathways of AAH and immune dysregulation in the pathogenesis of this pre-malignant lung lesion.
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                Author and article information

                Journal
                American Journal of Respiratory and Critical Care Medicine
                Am J Respir Crit Care Med
                American Thoracic Society
                1073-449X
                1535-4970
                September 15 2019
                September 15 2019
                : 200
                : 6
                : 742-750
                Affiliations
                [1 ]Department of Translational Molecular Pathology
                [2 ]Department of Epidemiology
                [3 ]MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, Texas
                [4 ]Avera Institute for Human Genetics, Sioux Falls, South Dakota
                [5 ]Department of Thoracic/Head & Neck Medical Oncology
                [6 ]Department of Pathology
                [7 ]Department of Radiology, Houston Methodist Research Institute, Houston, Texas
                [8 ]Department of Thoracic and Cardiovascular Surgery, and
                [9 ]Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
                [10 ]David Geffen School of Medicine at University of California Los Angeles, Los Angeles, California; and
                [11 ]Section of Computational Biomedicine, School of Medicine, Boston University, Boston, Massachusetts
                Article
                10.1164/rccm.201806-1178OC
                6775870
                30896962
                ba359f1a-d758-4558-a4a0-bd69d0df5d45
                © 2019
                History

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