Distinct molecular subtypes of KRASG12C-mutant lung adenocarcinoma: Insights into clinical outcomes, tumour microenvironments and therapeutic strategies

IF 6.8 1区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
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
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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.

Abstract Image

krasg12c突变型肺腺癌的不同分子亚型:对临床结果、肿瘤微环境和治疗策略的见解
背景:KRASG12C是肺腺癌(LUAD)中最常见的KRAS突变,然而临床对KRASG12C选择性抑制剂(G12Ci)和免疫治疗的反应仍然不同。方法:利用机器学习算法对krasg12c突变体LUAD进行转录组学分析,对分子亚型进行分类。研究系统地评估了亚型特异性特征,包括基因组改变、肿瘤微环境和治疗脆弱性。结果:通过机器学习算法的转录组学分析,我们鉴定出krasg12c突变体LUAD的三种不同的分子亚型(KC1, KC2和KC3)。KC1亚型的特点是神经内分泌表型与SMARCA4功能缺失和STK11共突变频繁相关,预后相对较好。免疫浸润差,对G12Ci和免疫治疗有耐药性,但对MEK1/2抑制剂敏感;KC2亚型表现为高度恶性表型,增殖高,糖代谢增加,预后差。它富含t细胞浸润,对G12Ci单药和免疫治疗反应最好。KC3亚型分化良好,生存率最高,具有免疫富集的微环境,具有丰富的免疫抑制性癌症相关成纤维细胞。它对G12Ci的敏感性有限,对免疫治疗的反应中等。值得注意的是,KC1-3亚型特异性分子特征比经典的KRASG12C信号模型更准确地预测药物敏感性。结论:这些发现阐明了肿瘤亚型、微环境因素和治疗反应之间复杂的相互作用,为改善患者分层和开发个性化的krasg12c突变LUAD治疗策略提供了强有力的框架。重点:鉴定出krasg12c突变型肺腺癌的三种新的分子亚型(KC1、KC2和KC3),每种亚型具有不同的分子和临床特征。这些亚型对KRASG12C靶向治疗和免疫治疗表现出不同的反应,影响治疗结果。这种新的分类系统使生物标志物指导的联合治疗成为可能,并为这些癌症的未来临床试验设计提供信息。
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来源期刊
CiteScore
15.90
自引率
1.90%
发文量
450
审稿时长
4 weeks
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.
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