{"title":"免疫检查点抑制剂在晚期非小细胞肺癌中的皮肤毒性:机制见解和预测性生物标志物鉴定的最新进展。","authors":"Shiliang Shao, Wenjuan Zheng, Xuyang Li, Ao Qi, Yifeng Gu, Yabin Gong, Qin Wang, Lijing Jiao, Ling Xu","doi":"10.2147/CMAR.S528555","DOIUrl":null,"url":null,"abstract":"<p><p>Immune checkpoint inhibitors (ICIs) have substantially improved clinical outcomes in patients with advanced non-small cell lung cancer (NSCLC). However, the cutaneous immune-related adverse events (cirAEs) they elicit-being the most frequent and earliest-emerging toxicities-not only compromise treatment adherence but also exhibit a distinct positive association with systemic immune activation and antitumor efficacy. Given these characteristics, elucidating the pathogenic mechanisms of cirAEs and identifying predictive biomarkers are critical for the early detection and intervention of cirAEs, as well as for forecasting the onset of other immune-related adverse events (irAEs) and assessing ICI therapeutic prognosis. This review systematically summarizes recent advances in the pathological mechanisms of cirAEs and predictive biomarkers. Mechanistically, cirAEs result from multifactorial interplay, including genetic predisposition, shared antigen-driven cross-reactivity, and breakdown of cutaneous immune tolerance. For predictive biomarkers, strategies span traditional predictors (eg, demographic and immunological features) and their clinical translation challenges to emerging methods leveraging multi-omics integration and radiomics. Finally, this review addresses future challenges and directions in cirAEs research: Specifically, the positive association between cirAEs and efficacy demands accurate differentiation of \"manageable toxicities\" from \"high-risk toxicities\"; furthermore, future studies must validate causal biomarkers via prospective multi-omics cohorts and develop AI-driven dynamic prediction models to enable toxicity-stratified management and optimization of personalized immunotherapy.</p>","PeriodicalId":9479,"journal":{"name":"Cancer Management and Research","volume":"17 ","pages":"2035-2048"},"PeriodicalIF":2.6000,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12450388/pdf/","citationCount":"0","resultStr":"{\"title\":\"Dermatotoxicity of Immune Checkpoint Inhibitors in Advanced Non-Small Cell Lung Cancer: Current Advances in Mechanistic Insights and Predictive Biomarker Identification.\",\"authors\":\"Shiliang Shao, Wenjuan Zheng, Xuyang Li, Ao Qi, Yifeng Gu, Yabin Gong, Qin Wang, Lijing Jiao, Ling Xu\",\"doi\":\"10.2147/CMAR.S528555\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Immune checkpoint inhibitors (ICIs) have substantially improved clinical outcomes in patients with advanced non-small cell lung cancer (NSCLC). However, the cutaneous immune-related adverse events (cirAEs) they elicit-being the most frequent and earliest-emerging toxicities-not only compromise treatment adherence but also exhibit a distinct positive association with systemic immune activation and antitumor efficacy. Given these characteristics, elucidating the pathogenic mechanisms of cirAEs and identifying predictive biomarkers are critical for the early detection and intervention of cirAEs, as well as for forecasting the onset of other immune-related adverse events (irAEs) and assessing ICI therapeutic prognosis. This review systematically summarizes recent advances in the pathological mechanisms of cirAEs and predictive biomarkers. Mechanistically, cirAEs result from multifactorial interplay, including genetic predisposition, shared antigen-driven cross-reactivity, and breakdown of cutaneous immune tolerance. For predictive biomarkers, strategies span traditional predictors (eg, demographic and immunological features) and their clinical translation challenges to emerging methods leveraging multi-omics integration and radiomics. Finally, this review addresses future challenges and directions in cirAEs research: Specifically, the positive association between cirAEs and efficacy demands accurate differentiation of \\\"manageable toxicities\\\" from \\\"high-risk toxicities\\\"; furthermore, future studies must validate causal biomarkers via prospective multi-omics cohorts and develop AI-driven dynamic prediction models to enable toxicity-stratified management and optimization of personalized immunotherapy.</p>\",\"PeriodicalId\":9479,\"journal\":{\"name\":\"Cancer Management and Research\",\"volume\":\"17 \",\"pages\":\"2035-2048\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12450388/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cancer Management and Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/CMAR.S528555\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Management and Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/CMAR.S528555","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
Dermatotoxicity of Immune Checkpoint Inhibitors in Advanced Non-Small Cell Lung Cancer: Current Advances in Mechanistic Insights and Predictive Biomarker Identification.
Immune checkpoint inhibitors (ICIs) have substantially improved clinical outcomes in patients with advanced non-small cell lung cancer (NSCLC). However, the cutaneous immune-related adverse events (cirAEs) they elicit-being the most frequent and earliest-emerging toxicities-not only compromise treatment adherence but also exhibit a distinct positive association with systemic immune activation and antitumor efficacy. Given these characteristics, elucidating the pathogenic mechanisms of cirAEs and identifying predictive biomarkers are critical for the early detection and intervention of cirAEs, as well as for forecasting the onset of other immune-related adverse events (irAEs) and assessing ICI therapeutic prognosis. This review systematically summarizes recent advances in the pathological mechanisms of cirAEs and predictive biomarkers. Mechanistically, cirAEs result from multifactorial interplay, including genetic predisposition, shared antigen-driven cross-reactivity, and breakdown of cutaneous immune tolerance. For predictive biomarkers, strategies span traditional predictors (eg, demographic and immunological features) and their clinical translation challenges to emerging methods leveraging multi-omics integration and radiomics. Finally, this review addresses future challenges and directions in cirAEs research: Specifically, the positive association between cirAEs and efficacy demands accurate differentiation of "manageable toxicities" from "high-risk toxicities"; furthermore, future studies must validate causal biomarkers via prospective multi-omics cohorts and develop AI-driven dynamic prediction models to enable toxicity-stratified management and optimization of personalized immunotherapy.
期刊介绍:
Cancer Management and Research is an international, peer reviewed, open access journal focusing on cancer research and the optimal use of preventative and integrated treatment interventions to achieve improved outcomes, enhanced survival, and quality of life for cancer patients. Specific topics covered in the journal include:
◦Epidemiology, detection and screening
◦Cellular research and biomarkers
◦Identification of biotargets and agents with novel mechanisms of action
◦Optimal clinical use of existing anticancer agents, including combination therapies
◦Radiation and surgery
◦Palliative care
◦Patient adherence, quality of life, satisfaction
The journal welcomes submitted papers covering original research, basic science, clinical & epidemiological studies, reviews & evaluations, guidelines, expert opinion and commentary, and case series that shed novel insights on a disease or disease subtype.