Evidence map›Paper›PMID 40935675›Full record

ArticleCancer research and treatment2026

Genomic Profiling Identified a Mutational Signature Related to Female in Nonsmoking Lung Adenocarcinoma.

Jinman Zhuang, Yongsheng Yang, Xuezhen Chen, Guanying Zheng, Xiaopei Shen, Fei He, Baosong Xie

Abstract read
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Article in Cancer research and treatment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jinman ZhuangDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Yongsheng YangDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Xuezhen ChenDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Guanying ZhengDepartment of Pulmonary and Critical Care Medicine, Fujian Provincial Hospital, Fujian Shengli Medical College, Fujian Medical University, Fuzhou, China.
Xiaopei ShenDepartment of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, China.
Fei HeDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China. i.fei.he@fjmu.edu.cn.
Baosong XieDepartment of Pulmonary and Critical Care Medicine, Fujian Provincial Hospital, Fujian Shengli Medical College, Fujian Medical University, Fuzhou, China. xbaosong@126.com.

Funding

Health Commission's Program for Cultivating Middle-agedInnovation of science and technology of Fujian province 2020Y9028National Natural Science Foundation of Fujian province 2023J01093Young Backbone Talents of Fujian province 2023GGA002
6 · The paper itself

Abstract

Purpose: This study aimed to illustrate mutational characteristics in nonsmoking lung adenocarcinoma (LUAD) and to explore its relationship with clinical factors. Materials and Methods: We included 86 nonsmokers with LUAD and downloaded the clinical information, whole exome sequencing, and RNA sequencing data from cBioPortal and The Cancer Genome Atlas (TCGA) website. NMF algorithm, "SomaticSignatures," and "DeconstructSigs" were used to reconstruct and infer new mutational signature. The similarity between Catalogue of Somatic Mutations in Cancer (COSMIC) and reconstructed mutational signature was measured by cosine similarity. The enrichment status of signaling pathways was derived by Gene Set Enrichment Analysis. "pRRophetic" package was used to predict the sensitivity of adjuvant drug for cancer treatments. Results: The most frequent driver genes in nonsmoking LUAD were epidermal growth factor receptor (EGFR) (59% in cBioPortal cohort, 68% in Fujian nonsmoking LUAD cohort). We identified three new mutation signatures of LUAD in nonsmokers and identified S2 as the most enriched signature in these nonsmokers with LUAD. In cBioPortal and Fujian nonsmoking LUAD cohort, the proportion of S2 was higher in females (p < 0.05) and patients with tumor mutational burden (TMB) (p < 0.01). Similar results were observed in nonsmoking TCGA-LUAD cohort (pfemale=0.0013, pTMB < 0.001). OXIDATIVE_PHOSPHORYLATION signaling pathway was most enriched in S2-enriched group (NES=1.63). S2-enriched group had higher mutation rate of EGFR (p=0.003) and more drug sensitivity to metformin (p=0.035). Conclusion: We identified a new mutational signature (S2) which is most enriched in LUAD in nonsmokers and related to female and low-TMB. S2 mutational signature may help reveal female-related mutagenesis mechanisms and develop strategies for therapeutic of never-smoker lung adenocarcinoma.

Indexed as

Adenocarcinoma of LungBiomarkers, TumorLung NeoplasmsMutationAgedExome SequencingFemaleGene Expression ProfilingGenomicsHumansMaleMiddle AgedNon-SmokersBiomarkers, TumorFemaleMetforminMutational signatureNon-smokersOxidative phosphorylation

Identifiers

PMID40935675
PMCPMC13680081

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.