PCDH11X mutation as a potential biomarker for immune checkpoint therapies in lung adenocarcinoma.

IF 4.8 3区 医学 Q1 GENETICS & HEREDITY Journal of Molecular Medicine-Jmm Pub Date : 2024-07-01 Epub Date: 2024-05-13 DOI:10.1007/s00109-024-02450-8
Manjiao Liu, Meijia Yang, Bei Zhang, Sijian Xia, Jie Zhao, Linlin Yan, Yong Ren, Hao Guo, Jie Zhao
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Abstract

Immune checkpoint inhibitors (ICIs) have achieved impressive success in lung adenocarcinoma (LUAD). However, the response to ICIs varies among patients, and predictive biomarkers are urgently needed. PCDH11X is frequently mutated in LUAD, while its role in ICI treatment is unclear. In this study, we curated genomic and clinical data of 151 LUAD patients receiving ICIs from three independent cohorts. Relations between PCDH11X and treatment outcomes of ICIs were examined. A melanoma cohort collected from five published studies, a pan-cancer cohort, and non-ICI-treated TCGA-LUAD cohort were also examined to investigate whether PCDH11X mutation is a specific predictive biomarker for LUAD ICI treatment. Among the three ICI-treated LUAD cohorts, PCDH11X mutation (PCDH11X-MUT) was associated with better clinical response compared to wild-type PCDH11X (PCDH11X-WT). While in ICI-treated melanoma cohort, the pan-cancer cohort excluding LUAD, and the non-ICI-treated TCGA-LUAD cohort, no significant differences in overall survival (OS) were observed between the PCDH11X-MUT and PCDH11X-WT groups. PCDH11X mutation was associated with increased PD-L1 expression, tumor mutation burden (TMB), neoantigen load, DNA damage repair (DDR) mutations, and hot tumor microenvironment in TCGA-LUAD cohort. Our findings suggested that the PCDH11X mutation might serve as a specific biomarker to predict the efficacy of ICIs for LUAD patients. Considering the relatively small sample size of ICI-treated cohorts, future research with larger cohorts and prospective clinical trials will be essential for validating and further exploring the role of PCDH11X mutation in the context of immunotherapy outcomes in LUAD. KEY MESSAGES: PCDH11X mutation is associated with better clinical response compared to wild type PCDH11X in three ICIs-treated LUAD cohorts. In ICIs-treated melanoma cohort, the pan-cancer cohort excluding LUAD, and non-ICIs-treated TCGA-LUAD cohorts PCDH11X mutation is not associated with better clinical response, suggesting PCDH11X mutation might be a specific biomarker to predict the efficacy of ICIs treatment for LUAD patients. PCDH11X mutation is associated with increased PD-L1 expression, tumor mutation burden, and neoantigen load in TCGA-LUAD cohort. PCDH11X mutation is associated with hot tumor microenvironment in TCGA-LUAD cohort.

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PCDH11X突变作为肺腺癌免疫检查点疗法的潜在生物标记物
免疫检查点抑制剂(ICIs)在肺腺癌(LUAD)领域取得了令人瞩目的成就。然而,不同患者对 ICIs 的反应各不相同,因此迫切需要预测性生物标志物。PCDH11X 在 LUAD 中经常发生突变,但它在 ICI 治疗中的作用尚不清楚。在这项研究中,我们汇总了来自三个独立队列的151名接受ICI治疗的LUAD患者的基因组和临床数据。研究还考察了 PCDH11X 与 ICIs 治疗结果之间的关系。此外,还研究了从五项已发表研究中收集的黑色素瘤队列、泛癌队列和未接受 ICI 治疗的 TCGA-LUAD 队列,以探讨 PCDH11X 突变是否是 LUAD ICI 治疗的特异性预测生物标志物。在三个接受过 ICI 治疗的 LUAD 队列中,与野生型 PCDH11X(PCDH11X-WT)相比,PCDH11X 突变(PCDH11X-MUT)与更好的临床反应相关。在接受过 ICI 治疗的黑色素瘤队列、不包括 LUAD 的泛癌症队列以及未接受过 ICI 治疗的 TCGA-LUAD 队列中,PCDH11X-MUT 组和 PCDH11X-WT 组的总生存期(OS)没有明显差异。在TCGA-LUAD队列中,PCDH11X突变与PD-L1表达增加、肿瘤突变负荷(TMB)、新抗原负荷、DNA损伤修复(DDR)突变和炎热的肿瘤微环境有关。我们的研究结果表明,PCDH11X突变可作为预测ICIs对LUAD患者疗效的特异性生物标志物。考虑到接受过 ICI 治疗的队列样本量相对较小,未来更大规模的队列研究和前瞻性临床试验对于验证和进一步探索 PCDH11X 突变在 LUAD 免疫治疗结果中的作用至关重要。关键信息:在三组接受过 ICIs 治疗的 LUAD 患者中,与野生型 PCDH11X 相比,PCDH11X 突变与更好的临床反应相关。在接受过 ICIs 治疗的黑色素瘤队列、不包括 LUAD 的泛癌症队列以及未接受过 ICIs 治疗的 TCGA-LUAD 队列中,PCDH11X 突变与更好的临床反应无关,这表明 PCDH11X 突变可能是预测 ICIs 治疗 LUAD 患者疗效的特异性生物标志物。在TCGA-LUAD队列中,PCDH11X突变与PD-L1表达、肿瘤突变负荷和新抗原负荷的增加有关。在TCGA-LUAD队列中,PCDH11X突变与热肿瘤微环境相关。
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来源期刊
Journal of Molecular Medicine-Jmm
Journal of Molecular Medicine-Jmm 医学-医学:研究与实验
CiteScore
9.30
自引率
0.00%
发文量
100
审稿时长
1.3 months
期刊介绍: The Journal of Molecular Medicine publishes original research articles and review articles that range from basic findings in mechanisms of disease pathogenesis to therapy. The focus includes all human diseases, including but not limited to: Aging, angiogenesis, autoimmune diseases as well as other inflammatory diseases, cancer, cardiovascular diseases, development and differentiation, endocrinology, gastrointestinal diseases and hepatology, genetics and epigenetics, hematology, hypoxia research, immunology, infectious diseases, metabolic disorders, neuroscience of diseases, -omics based disease research, regenerative medicine, and stem cell research. Studies solely based on cell lines will not be considered. Studies that are based on model organisms will be considered as long as they are directly relevant to human disease.
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