Haitang Yang, Anshun Zhu, Yongliang Niu, Wenyan Ma, Ke Xu, Yunxuan Jia, Weijiao Xu, Baicheng Zhao, Enshuo Zhang, Jiaying Jia, Shunqing Liang, Patrick Dorn, Gang Liu, Ren-Wang Peng, Feng Yao
{"title":"Distinct molecular subtypes of KRASG12C-mutant lung adenocarcinoma: Insights into clinical outcomes, tumour microenvironments and therapeutic strategies","authors":"Haitang Yang, Anshun Zhu, Yongliang Niu, Wenyan Ma, Ke Xu, Yunxuan Jia, Weijiao Xu, Baicheng Zhao, Enshuo Zhang, Jiaying Jia, Shunqing Liang, Patrick Dorn, Gang Liu, Ren-Wang Peng, Feng Yao","doi":"10.1002/ctm2.70490","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p><i>KRAS</i><sup>G12C</sup> is the most common <i>KRAS</i> mutation in lung adenocarcinoma (LUAD), yet clinical responses to KRAS<sup>G12C</sup>-selective inhibitors (G12Ci) and immunotherapy remain variable.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Transcriptomic analysis of <i>KRAS<sup>G12C</sup></i>-mutant LUAD was performed using machine learning algorithms to classify molecular subtypes. Subtype-specific features, including genomic alterations, tumour microenvironment and therapeutic vulnerabilities, were systematically evaluated.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>We identified three distinct molecular subtypes (KC1, KC2 and KC3) of <i>KRAS<sup>G12C</sup></i>-mutant LUAD through transcriptomic analysis using machine learning algorithms. KC1 subtype is characterised by a neuroendocrine phenotype associated with SMARCA4 loss-of-function and frequent <i>STK11</i> co-mutations, with a relatively good prognosis. It exhibits poor immune infiltration and demonstrates resistance to G12Ci and immunotherapy but shows sensitivity to MEK1/2 inhibitors; KC2 subtype exhibits a highly malignant phenotype with high proliferation, increased glucose metabolism, and the poorest prognosis. It is enriched with T-cell infiltration and responds best to G12Ci monotherapy and immunotherapy. KC3 subtype is distinguished by well differentiation and the best survival, with an immune-enriched microenvironment featuring abundant immune-suppressive cancer-associated fibroblasts. It demonstrates limited sensitivity to G12Ci and a moderate response to immunotherapy. Notably, KC1‒3 subtype-specific molecular signatures predict drug sensitivity more accurately than classical <i>KRAS<sup>G12C</sup></i> signalling models.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>These findings illuminate the intricate interplay between tumour subtypes, microenvironmental factors and therapeutic responses, offering a robust framework for improved patient stratification and the development of personalised therapeutic strategies <i>KRAS<sup>G12C</sup></i>-mutant LUAD.</p>\n </section>\n \n <section>\n \n <h3> Key points</h3>\n \n <div>\n <ul>\n \n <li>Three novel molecular subtypes (KC1, KC2 and KC3) of <i>KRAS<sup>G12C</sup></i>-mutant lung adenocarcinoma were identified, each with distinct molecular and clinical characteristics.</li>\n \n <li>These subtypes demonstrate differential responses to both KRAS<sup>G12C</sup> targeted therapy and immunotherapy, influencing treatment outcomes.</li>\n \n <li>This new classification system enables biomarker-guided combination therapies and informs future clinical trial design for these cancers.</li>\n </ul>\n </div>\n </section>\n </div>","PeriodicalId":10189,"journal":{"name":"Clinical and Translational Medicine","volume":"15 10","pages":""},"PeriodicalIF":6.8000,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12481212/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical and Translational Medicine","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ctm2.70490","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Background
KRASG12C is the most common KRAS mutation in lung adenocarcinoma (LUAD), yet clinical responses to KRASG12C-selective inhibitors (G12Ci) and immunotherapy remain variable.
Methods
Transcriptomic analysis of KRASG12C-mutant LUAD was performed using machine learning algorithms to classify molecular subtypes. Subtype-specific features, including genomic alterations, tumour microenvironment and therapeutic vulnerabilities, were systematically evaluated.
Results
We identified three distinct molecular subtypes (KC1, KC2 and KC3) of KRASG12C-mutant LUAD through transcriptomic analysis using machine learning algorithms. KC1 subtype is characterised by a neuroendocrine phenotype associated with SMARCA4 loss-of-function and frequent STK11 co-mutations, with a relatively good prognosis. It exhibits poor immune infiltration and demonstrates resistance to G12Ci and immunotherapy but shows sensitivity to MEK1/2 inhibitors; KC2 subtype exhibits a highly malignant phenotype with high proliferation, increased glucose metabolism, and the poorest prognosis. It is enriched with T-cell infiltration and responds best to G12Ci monotherapy and immunotherapy. KC3 subtype is distinguished by well differentiation and the best survival, with an immune-enriched microenvironment featuring abundant immune-suppressive cancer-associated fibroblasts. It demonstrates limited sensitivity to G12Ci and a moderate response to immunotherapy. Notably, KC1‒3 subtype-specific molecular signatures predict drug sensitivity more accurately than classical KRASG12C signalling models.
Conclusions
These findings illuminate the intricate interplay between tumour subtypes, microenvironmental factors and therapeutic responses, offering a robust framework for improved patient stratification and the development of personalised therapeutic strategies KRASG12C-mutant LUAD.
Key points
Three novel molecular subtypes (KC1, KC2 and KC3) of KRASG12C-mutant lung adenocarcinoma were identified, each with distinct molecular and clinical characteristics.
These subtypes demonstrate differential responses to both KRASG12C targeted therapy and immunotherapy, influencing treatment outcomes.
This new classification system enables biomarker-guided combination therapies and informs future clinical trial design for these cancers.
期刊介绍:
Clinical and Translational Medicine (CTM) is an international, peer-reviewed, open-access journal dedicated to accelerating the translation of preclinical research into clinical applications and fostering communication between basic and clinical scientists. It highlights the clinical potential and application of various fields including biotechnologies, biomaterials, bioengineering, biomarkers, molecular medicine, omics science, bioinformatics, immunology, molecular imaging, drug discovery, regulation, and health policy. With a focus on the bench-to-bedside approach, CTM prioritizes studies and clinical observations that generate hypotheses relevant to patients and diseases, guiding investigations in cellular and molecular medicine. The journal encourages submissions from clinicians, researchers, policymakers, and industry professionals.