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Comprehensive molecular characterizations of stage I–III lung adenocarcinoma with tumor spread through air spaces

Ronghao Ye, Yongfeng Yu, Ruiying Zhao, Yuchen Han, Shun Lu

2023Frontiers in Genetics15 citationsDOIOpen Access PDF

Abstract

Purpose: The aim of this study is to investigate integrative genomic spectra of stage I–III lung adenocarcinoma with tumor spread through air spaces (STAS). Methods: We retrospectively identified 442 surgically resected lung adenocarcinoma patients of pathological stage I–III in Shanghai Chest Hospital from January 2018 to February 2021. Surgically resected tissues were used for next-generation sequencing (NGS) with a panel of 68 lung cancer‐related genes to profile comprehensive molecular characterizations. Results: A total of 442 cases were analyzed, including 221 (50%) STAS-positive (SP) and 221 (50%) STAS-negative (SN) lung adenocarcinoma patients. In total, 440 cases (99.6%) were positive for the overall mutational spectrum, and the higher mutational genes were EGFR, TP53, KRAS, ALK, SMAD4, and ERBB2 (62%, 42%, 14%, 10%, 7%, and 7%, respectively). Compared with the SN population, there was significantly lower EGFR alteration in the single-nucleotide variant (SNV) mutation spectrum (52.5% vs 69.7%, p < 0.001) and significantly higher TP53 alteration in the SP population (49.8% vs 34.8%, p = 0.002). EGFR L858R missense mutation (19.5% vs 37.6%, p < 0.001) and ERBB2 exon 20 indel mutation (1.8% vs 5.9%, p = 0.045) were more frequent in the SN population. The detection rate of ALK fusion rearrangements in the SP population was significantly higher than that in the SN population (13.1% vs 2.3%, p < 0.001). In the analysis of signaling pathways, no significant difference was discovered between SP and SN patients. No difference in 1-year disease-free survival was observed between SP and SN patients in this study. Conclusion: Significant differences exist in stage I–III lung adenocarcinoma patients with STAS in molecular characterizations.

Topics & Concepts

AdenocarcinomaStage (stratigraphy)LungLung cancerBiologyCancer researchComputational biologyComputer scienceMedicinePathologyInternal medicineCancerGeneticsPaleontologyLung Cancer Treatments and MutationsLung Cancer Research StudiesLung Cancer Diagnosis and Treatment