{"title":"将肿瘤宏观环境、微环境和力学生物学与类器官和器官芯片模型相结合,用于肺癌免疫治疗","authors":"Yeonhee Park , Da Hyun Kang , Chaeuk Chung","doi":"10.1016/j.lungcan.2025.108726","DOIUrl":null,"url":null,"abstract":"<div><div>Lung cancer remains the leading cause of cancer-related mortality, and immune checkpoint inhibitors (ICIs) have revolutionized its treatment. However, immunotherapy responses vary significantly among patients, and adverse effects, such as immune-related pneumonitis, pose clinical challenges. Both the tumor macroenvironment (TMaE) and tumor microenvironment (TME) play pivotal roles in modulating immunotherapy outcomes; however, the complex crosstalk between them remains insufficiently characterized. This review discusses systemic (macroenvironmental) factors, including host metabolic status, coexisting pulmonary diseases, and baseline immune competence, alongside tumor-intrinsic (microenvironmental) determinants, such as programmed death-ligand 1 (PD-L1) expression, tumor mutation burden (TMB), and immune cell infiltration. Furthermore, we highlight the role of mechanotransduction pathways, including YAP/TAZ signaling, extracellular matrix (ECM) stiffness, and mechanical stress, in immune evasion, suggesting their potential as novel therapeutic targets. Finally, we explore emerging preclinical models simulating the TME and TMaE for immunotherapy response and safety assessment using lung cancer-derived organoids and organ-on-a-chip platforms. A deeper understanding of the interplay between TMaE and TME, combined with advanced modeling approaches, may ultimately lead to more precise and personalized immunotherapy strategies for patients with lung cancer.</div></div>","PeriodicalId":18129,"journal":{"name":"Lung Cancer","volume":"207 ","pages":"Article 108726"},"PeriodicalIF":4.4000,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrating tumor macroenvironment, microenvironment and mechanobiology with organoid and organ-on-a-chip models for lung cancer immunotherapy\",\"authors\":\"Yeonhee Park , Da Hyun Kang , Chaeuk Chung\",\"doi\":\"10.1016/j.lungcan.2025.108726\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Lung cancer remains the leading cause of cancer-related mortality, and immune checkpoint inhibitors (ICIs) have revolutionized its treatment. However, immunotherapy responses vary significantly among patients, and adverse effects, such as immune-related pneumonitis, pose clinical challenges. Both the tumor macroenvironment (TMaE) and tumor microenvironment (TME) play pivotal roles in modulating immunotherapy outcomes; however, the complex crosstalk between them remains insufficiently characterized. This review discusses systemic (macroenvironmental) factors, including host metabolic status, coexisting pulmonary diseases, and baseline immune competence, alongside tumor-intrinsic (microenvironmental) determinants, such as programmed death-ligand 1 (PD-L1) expression, tumor mutation burden (TMB), and immune cell infiltration. Furthermore, we highlight the role of mechanotransduction pathways, including YAP/TAZ signaling, extracellular matrix (ECM) stiffness, and mechanical stress, in immune evasion, suggesting their potential as novel therapeutic targets. Finally, we explore emerging preclinical models simulating the TME and TMaE for immunotherapy response and safety assessment using lung cancer-derived organoids and organ-on-a-chip platforms. A deeper understanding of the interplay between TMaE and TME, combined with advanced modeling approaches, may ultimately lead to more precise and personalized immunotherapy strategies for patients with lung cancer.</div></div>\",\"PeriodicalId\":18129,\"journal\":{\"name\":\"Lung Cancer\",\"volume\":\"207 \",\"pages\":\"Article 108726\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2025-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Lung Cancer\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S016950022500618X\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lung Cancer","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S016950022500618X","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
Integrating tumor macroenvironment, microenvironment and mechanobiology with organoid and organ-on-a-chip models for lung cancer immunotherapy
Lung cancer remains the leading cause of cancer-related mortality, and immune checkpoint inhibitors (ICIs) have revolutionized its treatment. However, immunotherapy responses vary significantly among patients, and adverse effects, such as immune-related pneumonitis, pose clinical challenges. Both the tumor macroenvironment (TMaE) and tumor microenvironment (TME) play pivotal roles in modulating immunotherapy outcomes; however, the complex crosstalk between them remains insufficiently characterized. This review discusses systemic (macroenvironmental) factors, including host metabolic status, coexisting pulmonary diseases, and baseline immune competence, alongside tumor-intrinsic (microenvironmental) determinants, such as programmed death-ligand 1 (PD-L1) expression, tumor mutation burden (TMB), and immune cell infiltration. Furthermore, we highlight the role of mechanotransduction pathways, including YAP/TAZ signaling, extracellular matrix (ECM) stiffness, and mechanical stress, in immune evasion, suggesting their potential as novel therapeutic targets. Finally, we explore emerging preclinical models simulating the TME and TMaE for immunotherapy response and safety assessment using lung cancer-derived organoids and organ-on-a-chip platforms. A deeper understanding of the interplay between TMaE and TME, combined with advanced modeling approaches, may ultimately lead to more precise and personalized immunotherapy strategies for patients with lung cancer.
期刊介绍:
Lung Cancer is an international publication covering the clinical, translational and basic science of malignancies of the lung and chest region.Original research articles, early reports, review articles, editorials and correspondence covering the prevention, epidemiology and etiology, basic biology, pathology, clinical assessment, surgery, chemotherapy, radiotherapy, combined treatment modalities, other treatment modalities and outcomes of lung cancer are welcome.