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肺腺癌中IFNG驱动的免疫原性细胞死亡的分子分型与治疗靶点

Molecular Subtyping and Therapeutic Targeting of IFNG-Driven Immunogenic Cell Death in Lung Adenocarcinoma.

作者信息

Li Lifeng, Yang Yaqi, Peng Mengle, Wang Biyue, Zhu Lili, Chen Chengxin, Fan Zhirui, Duan Xiaoran, Xue Ruyue, Lv Xuefeng, Cheng Ming, Zhao Jie

机构信息

National Engineering Laboratory for Internet Medical Systems and Applications, the First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China.

Cancer Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China.

出版信息

Cancer Med. 2025 Feb;14(4):e70678. doi: 10.1002/cam4.70678.


DOI:10.1002/cam4.70678
PMID:39945555
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11822994/
Abstract

BACKGROUND: Immunogenic cell death (ICD) can be triggered by various therapies to induce anti-tumor immune responses, significantly enhancing treatment effectiveness, and is widely utilized in tumor immunotherapy. METHODS: LUAD data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) validated ICD-related molecular subtypes via consensus clustering. Clinical features, ICD genes, driver genes, mutations, tumor microenvironment, immune checkpoints, and drug sensitivity were compared. RT-qPCR, Western blot, immunofluorescence, ELISA, flow cytometry, and tube formation assays validated findings. RESULTS: Differential expression of 33 ICD genes was observed between tumor and normal tissues. These genes were clustered into two groups via consensus clustering and validated with GEO data. Prognostic analysis indicated superior outcomes in cluster 2 across TCGA and GEO cohorts. Significant disparities in clinicopathological characteristics like stage, gender, and age were noted between subtypes. Cluster 2 exhibited heightened expression of ICD-related genes, driver genes, immune checkpoints, and immune cells. Cluster 2 also showed increased sensitivity to chemotherapy drugs. IFNG overexpression in A549 and H1299 cells induced CRT exposure, HMGB1 release, and ATP secretion, thereby promoting dendritic cell maturation and enhancing CD8+ T cell function. Additionally, IFNG boosted tumor angiogenesis via HMGB1 pathways, which could be mitigated by HMGB1 inhibition. CONCLUSION: Identification of novel ICD-related molecular subtypes holds promise for guiding personalized therapies, assessing prognosis, and predicting immunotherapy efficacy in LUAD. IFNG emerges as a potential prognostic biomarker and therapeutic target, influencing both the tumor microenvironment and angiogenesis. These findings offer new insights into therapeutic strategies targeting IFNG-mediated pathways in LUAD.

摘要

背景:免疫原性细胞死亡(ICD)可由多种疗法触发,以诱导抗肿瘤免疫反应,显著提高治疗效果,在肿瘤免疫治疗中得到广泛应用。 方法:来自癌症基因组图谱(TCGA)和基因表达综合数据库(GEO)的肺腺癌数据通过一致性聚类验证了ICD相关分子亚型。比较了临床特征、ICD基因、驱动基因、突变、肿瘤微环境、免疫检查点和药物敏感性。通过逆转录定量聚合酶链反应(RT-qPCR)、蛋白质免疫印迹法、免疫荧光法、酶联免疫吸附测定(ELISA)、流式细胞术和管形成试验验证了研究结果。 结果:肿瘤组织和正常组织之间观察到33个ICD基因的差异表达。这些基因通过一致性聚类分为两组,并用GEO数据进行了验证。预后分析表明,在TCGA和GEO队列中,第2组的预后较好。各亚型在分期、性别和年龄等临床病理特征上存在显著差异。第2组显示ICD相关基因、驱动基因、免疫检查点和免疫细胞的表达升高。第2组对化疗药物的敏感性也增加。在A549和H1299细胞中干扰素γ(IFNG)的过表达诱导了钙网蛋白(CRT)暴露、高迁移率族蛋白B1(HMGB1)释放和三磷酸腺苷(ATP)分泌,从而促进树突状细胞成熟并增强CD8+T细胞功能。此外,IFNG通过HMGB1途径促进肿瘤血管生成,而HMGB1抑制可减轻这种作用。 结论:鉴定新的ICD相关分子亚型有望指导肺腺癌的个性化治疗、评估预后和预测免疫治疗疗效。IFNG成为一种潜在的预后生物标志物和治疗靶点,影响肿瘤微环境和血管生成。这些发现为针对IFNG介导途径的肺腺癌治疗策略提供了新见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82c0/11822994/491a9269af1f/CAM4-14-e70678-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82c0/11822994/00f0c6439aff/CAM4-14-e70678-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82c0/11822994/7cd92d93bed2/CAM4-14-e70678-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82c0/11822994/f446ec241912/CAM4-14-e70678-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82c0/11822994/b385f9da263d/CAM4-14-e70678-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82c0/11822994/ad007109dabe/CAM4-14-e70678-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82c0/11822994/491a9269af1f/CAM4-14-e70678-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82c0/11822994/00f0c6439aff/CAM4-14-e70678-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82c0/11822994/7cd92d93bed2/CAM4-14-e70678-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82c0/11822994/f446ec241912/CAM4-14-e70678-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82c0/11822994/b385f9da263d/CAM4-14-e70678-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82c0/11822994/ad007109dabe/CAM4-14-e70678-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82c0/11822994/491a9269af1f/CAM4-14-e70678-g004.jpg

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