Yao Fu, Li Du, Haiyang Zhang, Jifeng Wan, Wei Ren, Haixia Pang
{"title":"衰老相关分泌表型相关特征预测宫颈癌预后和免疫治疗反应的综合分析。","authors":"Yao Fu, Li Du, Haiyang Zhang, Jifeng Wan, Wei Ren, Haixia Pang","doi":"10.1080/10255842.2026.2723072","DOIUrl":null,"url":null,"abstract":"<p><p>Cervical cancer (CESC) is a common malignancy in women. The senescence-associated secretory phenotype (SASP) contributes to tumor progression. We developed and validated a 7-gene SASP-related prognostic signature (PTPRB, RBM38, WNT3A, TNF, SPP1, ROR1, and MEIS2) using TCGA and GEO datasets. Patients in the low-risk group exhibited a more favorable prognosis and distinct immune infiltration patterns. TIDE analysis indicated a more favorable predicted immunotherapy response in the low-risk group. Single-cell analysis demonstrated distinct expression patterns of prognostic genes across cell types. This signature may help predict prognosis and therapeutic response in CESC patients.</p>","PeriodicalId":50640,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering","volume":" ","pages":"1-19"},"PeriodicalIF":1.9000,"publicationDate":"2026-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comprehensive analysis of senescence-associated secretory phenotype-related signature for predicting prognosis and immunotherapy response in cervical cancer.\",\"authors\":\"Yao Fu, Li Du, Haiyang Zhang, Jifeng Wan, Wei Ren, Haixia Pang\",\"doi\":\"10.1080/10255842.2026.2723072\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Cervical cancer (CESC) is a common malignancy in women. The senescence-associated secretory phenotype (SASP) contributes to tumor progression. We developed and validated a 7-gene SASP-related prognostic signature (PTPRB, RBM38, WNT3A, TNF, SPP1, ROR1, and MEIS2) using TCGA and GEO datasets. Patients in the low-risk group exhibited a more favorable prognosis and distinct immune infiltration patterns. TIDE analysis indicated a more favorable predicted immunotherapy response in the low-risk group. Single-cell analysis demonstrated distinct expression patterns of prognostic genes across cell types. This signature may help predict prognosis and therapeutic response in CESC patients.</p>\",\"PeriodicalId\":50640,\"journal\":{\"name\":\"Computer Methods in Biomechanics and Biomedical Engineering\",\"volume\":\" \",\"pages\":\"1-19\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2026-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Methods in Biomechanics and Biomedical Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/10255842.2026.2723072\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Methods in Biomechanics and Biomedical Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/10255842.2026.2723072","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Comprehensive analysis of senescence-associated secretory phenotype-related signature for predicting prognosis and immunotherapy response in cervical cancer.
Cervical cancer (CESC) is a common malignancy in women. The senescence-associated secretory phenotype (SASP) contributes to tumor progression. We developed and validated a 7-gene SASP-related prognostic signature (PTPRB, RBM38, WNT3A, TNF, SPP1, ROR1, and MEIS2) using TCGA and GEO datasets. Patients in the low-risk group exhibited a more favorable prognosis and distinct immune infiltration patterns. TIDE analysis indicated a more favorable predicted immunotherapy response in the low-risk group. Single-cell analysis demonstrated distinct expression patterns of prognostic genes across cell types. This signature may help predict prognosis and therapeutic response in CESC patients.
期刊介绍:
The primary aims of Computer Methods in Biomechanics and Biomedical Engineering are to provide a means of communicating the advances being made in the areas of biomechanics and biomedical engineering and to stimulate interest in the continually emerging computer based technologies which are being applied in these multidisciplinary subjects. Computer Methods in Biomechanics and Biomedical Engineering will also provide a focus for the importance of integrating the disciplines of engineering with medical technology and clinical expertise. Such integration will have a major impact on health care in the future.