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Unlabelled: Lung adenocarcinoma (LUAD) is a heterogeneous disease with substantial genomic differences between individuals of Chinese and European ancestries. Deciphering the timing of driver mutations may lead to insights into tumor evolution that can inform diagnostic and therapeutic approaches for LUAD. In this study, we conducted whole-genome sequencing on LUAD samples from 251 patients with Chinese ancestry to reconstruct the evolutionary trajectories of somatic alterations, especially those across the noncoding regions. Tobacco-related mutations preferentially occurred early and plateaued at 28 cigarettes per day. Well-known driver mutations (e.g., EGFR, TP53, and RB1) also occurred at the early stage, displaying ancestry heterogeneity among smokers. In contrast to exogenous mutagens, endogenous mutagen-related alterations (APOBEC) occurred late. The 3' untranslated region (UTR) was the most frequently altered noncoding element in LUAD, with recurrent disrupting mutations in the 3' UTR of SFTPB and SFTPA1. Unlike other cancer types, TERT promoter mutations were observed specifically among female patients with LUAD. Clustered mutations (e.g., doublet base substitutions, multi-base substitutions, and kataegis) influenced LUAD evolution and were overrepresented in driver genes. These findings provide insights into the dynamic nature of genomic alterations during lung tumorigenesis.
Significance: Reconstruction of genome-wide evolutionary histories and characterization of genomic heterogeneity in Chinese lung adenocarcinoma provides insight into cancer evolution, which may contribute to improved treatment and diagnostic strategies for lung cancer patients. This article is part of a special series: Driving Cancer Discoveries with Computational Research, Data Science, and Machine Learning/AI.
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http://dx.doi.org/10.1158/0008-5472.CAN-24-1799 | DOI Listing |
J Thorac Oncol
August 2025
Department of Radiation Medicine, Markey Cancer Center, University of Kentucky, Lexington, Kentucky.
Introduction: Cigarette smoking negatively affects lung cancer prognosis. Incorporating smoking history into stage-stratified survival analyses may improve prognostication.
Methods: Using the International Association for the Study of Lung Cancer ninth edition NSCLC database, we evaluated the association between smoking status at diagnosis and overall survival (OS) using Kaplan-Meier plots and multivariate Cox proportional hazard regression models adjusted for age, region, sex, histologic type, performance status, and TNM stage.
Brief Bioinform
August 2025
Department of Respiratory Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157, Xiwu Road, Xincheng District, Xi'an 710004, China.
Accurate tumor mutation burden (TMB) quantification is critical for immunotherapy stratification, yet remains challenging due to variability across sequencing platforms, tumor heterogeneity, and variant calling pipelines. Here, we introduce TMBquant, an explainable AI-powered caller designed to optimize TMB estimation through dynamic feature selection, ensemble learning, and automated strategy adaptation. Built upon the H2O AutoML framework, TMBquant integrates variant features, minimizes classification errors, and enhances both accuracy and stability across diverse datasets.
View Article and Find Full Text PDFCureus
August 2025
Pulmonology, Unidade Local de Saúde (ULS) da Guarda, Guarda, PRT.
Pulmonary atypical adenomatous hyperplasia (AAH) is a recognized precursor lesion to pulmonary adenocarcinoma (ADC). We present the case of a 79-year-old ex-smoker in whom transthoracic needle biopsy revealed histological features suggestive of lung ADC. However, surgical resection of the lesion later demonstrated only AAH.
View Article and Find Full Text PDFCytotechnology
October 2025
Department of Traditional Chinese Medicine Pharmacy, The Sixth Hospital of Wuhan, Affiliated Hospital of Jianghan University, No. 168, Hongkong Road, Jiangan District, Wuhan, 430014 Hubei China.
Unlabelled: Oxymatrine is a quinolizidine alkaloid derived from roots that has demonstrated significant antitumor activity against various cancers, including lung cancer. Recently, combination therapies involving anticancer agents and targeted interventions for dysregulated genes have emerged as a promising strategy to enhance treatment efficacy and overcome drug resistance. This study investigates the synergistic effects of oxymatrine and GIMAP8 in modulating the progression of lung adenocarcinoma (LUAD).
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