Junya Yan, Shibo Wang, Jing Zhang, Qiangqiang Yuan, Xianchun Gao, Nannan Zhang, Yan Pan, Haohao Zhang, Kun Liu, Jun Yu, Linbin Lu, Hui Liu, Xiaoliang Gao, Sheng Zhao, Wenyao Zhang, Abudurousuli Reyila, Yu Qi, Qiujin Zhang, Shundong Cang, Yuanyuan Lu, Yanglin Pan, Yan Kong, Yongzhan Nie
{"title":"DNA 损伤反应相关免疫激活特征预测对免疫检查点抑制剂的反应:从胃肠癌分析到泛癌症验证。","authors":"Junya Yan, Shibo Wang, Jing Zhang, Qiangqiang Yuan, Xianchun Gao, Nannan Zhang, Yan Pan, Haohao Zhang, Kun Liu, Jun Yu, Linbin Lu, Hui Liu, Xiaoliang Gao, Sheng Zhao, Wenyao Zhang, Abudurousuli Reyila, Yu Qi, Qiujin Zhang, Shundong Cang, Yuanyuan Lu, Yanglin Pan, Yan Kong, Yongzhan Nie","doi":"10.20892/j.issn.2095-3941.2023.0303","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>DNA damage response (DDR) deficiency has emerged as a prominent determinant of tumor immunogenicity. This study aimed to construct a DDR-related immune activation (DRIA) signature and evaluate the predictive accuracy of the DRIA signature for response to immune checkpoint inhibitor (ICI) therapy in gastrointestinal (GI) cancer.</p><p><strong>Methods: </strong>A DRIA signature was established based on two previously reported DNA damage immune response assays. Clinical and gene expression data from two published GI cancer cohorts were used to assess and validate the association between the DRIA score and response to ICI therapy. The predictive accuracy of the DRIA score was validated based on one ICI-treated melanoma and three pan-cancer published cohorts.</p><p><strong>Results: </strong>The DRIA signature includes three genes (<i>CXCL10</i>, <i>IDO1</i>, and <i>IFI44L</i>). In the discovery cancer cohort, DRIA-high patients with gastric cancer achieved a higher response rate to ICI therapy than DRIA-low patients (81.8% <i>vs.</i> 8.8%; <i>P</i> < 0.001), and the predictive accuracy of the DRIA score [area under the receiver operating characteristic curve (AUC) = 0.845] was superior to the predictive accuracy of PD-L1 expression, tumor mutational burden, microsatellite instability, and Epstein-Barr virus status. The validation cohort demonstrated that the DRIA score identified responders with microsatellite-stable colorectal and pancreatic adenocarcinoma who received dual PD-1 and CTLA-4 blockade with radiation therapy. Furthermore, the predictive performance of the DRIA score was shown to be robust through an extended validation in melanoma, urothelial cancer, and pan-cancer.</p><p><strong>Conclusions: </strong>The DRIA signature has superior and robust predictive accuracy for the efficacy of ICI therapy in GI cancer and pan-cancer, indicating that the DRIA signature may serve as a powerful biomarker for guiding ICI therapy decisions.</p>","PeriodicalId":9611,"journal":{"name":"Cancer Biology & Medicine","volume":" ","pages":""},"PeriodicalIF":5.6000,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10976329/pdf/","citationCount":"0","resultStr":"{\"title\":\"DNA damage response-related immune activation signature predicts the response to immune checkpoint inhibitors: from gastrointestinal cancer analysis to pan-cancer validation.\",\"authors\":\"Junya Yan, Shibo Wang, Jing Zhang, Qiangqiang Yuan, Xianchun Gao, Nannan Zhang, Yan Pan, Haohao Zhang, Kun Liu, Jun Yu, Linbin Lu, Hui Liu, Xiaoliang Gao, Sheng Zhao, Wenyao Zhang, Abudurousuli Reyila, Yu Qi, Qiujin Zhang, Shundong Cang, Yuanyuan Lu, Yanglin Pan, Yan Kong, Yongzhan Nie\",\"doi\":\"10.20892/j.issn.2095-3941.2023.0303\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>DNA damage response (DDR) deficiency has emerged as a prominent determinant of tumor immunogenicity. This study aimed to construct a DDR-related immune activation (DRIA) signature and evaluate the predictive accuracy of the DRIA signature for response to immune checkpoint inhibitor (ICI) therapy in gastrointestinal (GI) cancer.</p><p><strong>Methods: </strong>A DRIA signature was established based on two previously reported DNA damage immune response assays. Clinical and gene expression data from two published GI cancer cohorts were used to assess and validate the association between the DRIA score and response to ICI therapy. The predictive accuracy of the DRIA score was validated based on one ICI-treated melanoma and three pan-cancer published cohorts.</p><p><strong>Results: </strong>The DRIA signature includes three genes (<i>CXCL10</i>, <i>IDO1</i>, and <i>IFI44L</i>). In the discovery cancer cohort, DRIA-high patients with gastric cancer achieved a higher response rate to ICI therapy than DRIA-low patients (81.8% <i>vs.</i> 8.8%; <i>P</i> < 0.001), and the predictive accuracy of the DRIA score [area under the receiver operating characteristic curve (AUC) = 0.845] was superior to the predictive accuracy of PD-L1 expression, tumor mutational burden, microsatellite instability, and Epstein-Barr virus status. The validation cohort demonstrated that the DRIA score identified responders with microsatellite-stable colorectal and pancreatic adenocarcinoma who received dual PD-1 and CTLA-4 blockade with radiation therapy. Furthermore, the predictive performance of the DRIA score was shown to be robust through an extended validation in melanoma, urothelial cancer, and pan-cancer.</p><p><strong>Conclusions: </strong>The DRIA signature has superior and robust predictive accuracy for the efficacy of ICI therapy in GI cancer and pan-cancer, indicating that the DRIA signature may serve as a powerful biomarker for guiding ICI therapy decisions.</p>\",\"PeriodicalId\":9611,\"journal\":{\"name\":\"Cancer Biology & Medicine\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":5.6000,\"publicationDate\":\"2023-12-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10976329/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cancer Biology & Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.20892/j.issn.2095-3941.2023.0303\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Biology & Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.20892/j.issn.2095-3941.2023.0303","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
摘要
目的:DNA损伤应答(DDR)缺陷已成为肿瘤免疫原性的一个重要决定因素。本研究旨在构建DDR相关免疫激活(DRIA)特征,并评估DRIA特征对胃肠道(GI)癌免疫检查点抑制剂(ICI)治疗反应的预测准确性:方法:根据之前报道的两种DNA损伤免疫反应检测方法建立了DRIA特征。方法:根据之前报道的两种DNA损伤免疫反应测定方法建立了DRIA特征,并使用两个已发表的胃肠癌队列中的临床和基因表达数据来评估和验证DRIA评分与ICI治疗反应之间的关联。根据一个接受过 ICI 治疗的黑色素瘤和三个已发表的泛癌症队列验证了 DRIA 评分的预测准确性:结果:DRIA特征包括三个基因(CXCL10、IDO1和IFI44L)。在发现癌队列中,DRIA高的胃癌患者对ICI治疗的反应率高于DRIA低的患者(81.8% vs. 8.8%;P < 0.001),DRIA评分的预测准确性[接收器操作特征曲线下面积(AUC)= 0.845]优于PD-L1表达、肿瘤突变负荷、微卫星不稳定性和Epstein-Barr病毒状态的预测准确性。验证队列表明,DRIA评分能识别微卫星不稳定的结直肠癌和胰腺癌患者,这些患者在接受放疗的同时接受了PD-1和CTLA-4双重阻断。此外,通过在黑色素瘤、尿路上皮癌和泛癌中的扩展验证,DRIA评分的预测性能被证明是稳健的:结论:DRIA特征对消化道癌症和泛癌症的ICI疗效具有卓越而稳健的预测准确性,这表明DRIA特征可作为一种强大的生物标记物来指导ICI治疗决策。
DNA damage response-related immune activation signature predicts the response to immune checkpoint inhibitors: from gastrointestinal cancer analysis to pan-cancer validation.
Objective: DNA damage response (DDR) deficiency has emerged as a prominent determinant of tumor immunogenicity. This study aimed to construct a DDR-related immune activation (DRIA) signature and evaluate the predictive accuracy of the DRIA signature for response to immune checkpoint inhibitor (ICI) therapy in gastrointestinal (GI) cancer.
Methods: A DRIA signature was established based on two previously reported DNA damage immune response assays. Clinical and gene expression data from two published GI cancer cohorts were used to assess and validate the association between the DRIA score and response to ICI therapy. The predictive accuracy of the DRIA score was validated based on one ICI-treated melanoma and three pan-cancer published cohorts.
Results: The DRIA signature includes three genes (CXCL10, IDO1, and IFI44L). In the discovery cancer cohort, DRIA-high patients with gastric cancer achieved a higher response rate to ICI therapy than DRIA-low patients (81.8% vs. 8.8%; P < 0.001), and the predictive accuracy of the DRIA score [area under the receiver operating characteristic curve (AUC) = 0.845] was superior to the predictive accuracy of PD-L1 expression, tumor mutational burden, microsatellite instability, and Epstein-Barr virus status. The validation cohort demonstrated that the DRIA score identified responders with microsatellite-stable colorectal and pancreatic adenocarcinoma who received dual PD-1 and CTLA-4 blockade with radiation therapy. Furthermore, the predictive performance of the DRIA score was shown to be robust through an extended validation in melanoma, urothelial cancer, and pan-cancer.
Conclusions: The DRIA signature has superior and robust predictive accuracy for the efficacy of ICI therapy in GI cancer and pan-cancer, indicating that the DRIA signature may serve as a powerful biomarker for guiding ICI therapy decisions.
期刊介绍:
Cancer Biology & Medicine (ISSN 2095-3941) is a peer-reviewed open-access journal of Chinese Anti-cancer Association (CACA), which is the leading professional society of oncology in China. The journal quarterly provides innovative and significant information on biological basis of cancer, cancer microenvironment, translational cancer research, and all aspects of clinical cancer research. The journal also publishes significant perspectives on indigenous cancer types in China.