Junping Lei, Jia Fu, Tianyang Wang, Yu Guo, Mingmin Gong, Tian Xia, Song Shang, Yan Xu, Ling Cheng, Binghu Lin
{"title":"通过免疫细胞死亡相关基因表达特征识别结直肠癌分子亚型并进行预后分层","authors":"Junping Lei, Jia Fu, Tianyang Wang, Yu Guo, Mingmin Gong, Tian Xia, Song Shang, Yan Xu, Ling Cheng, Binghu Lin","doi":"10.1080/14737140.2024.2320187","DOIUrl":null,"url":null,"abstract":"This study intended to develop a new immunogenic cell death (ICD)-related prognostic signature for colorectal cancer (CRC) patients.The Non-Negative Matrix Factorization (NMF) algorithm was adopted...","PeriodicalId":12099,"journal":{"name":"Expert Review of Anticancer Therapy","volume":"173 1","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Molecular subtype identification and prognosis stratification by a immunogenic cell death-related gene expression signature in colorectal cancer\",\"authors\":\"Junping Lei, Jia Fu, Tianyang Wang, Yu Guo, Mingmin Gong, Tian Xia, Song Shang, Yan Xu, Ling Cheng, Binghu Lin\",\"doi\":\"10.1080/14737140.2024.2320187\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study intended to develop a new immunogenic cell death (ICD)-related prognostic signature for colorectal cancer (CRC) patients.The Non-Negative Matrix Factorization (NMF) algorithm was adopted...\",\"PeriodicalId\":12099,\"journal\":{\"name\":\"Expert Review of Anticancer Therapy\",\"volume\":\"173 1\",\"pages\":\"\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-02-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Expert Review of Anticancer Therapy\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/14737140.2024.2320187\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert Review of Anticancer Therapy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/14737140.2024.2320187","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
Molecular subtype identification and prognosis stratification by a immunogenic cell death-related gene expression signature in colorectal cancer
This study intended to develop a new immunogenic cell death (ICD)-related prognostic signature for colorectal cancer (CRC) patients.The Non-Negative Matrix Factorization (NMF) algorithm was adopted...
期刊介绍:
Expert Review of Anticancer Therapy (ISSN 1473-7140) provides expert appraisal and commentary on the major trends in cancer care and highlights the performance of new therapeutic and diagnostic approaches.
Coverage includes tumor management, novel medicines, anticancer agents and chemotherapy, biological therapy, cancer vaccines, therapeutic indications, biomarkers and diagnostics, and treatment guidelines. All articles are subject to rigorous peer-review, and the journal makes an essential contribution to decision-making in cancer care.
Comprehensive coverage in each review is complemented by the unique Expert Review format and includes the following sections:
Expert Opinion - a personal view of the data presented in the article, a discussion on the developments that are likely to be important in the future, and the avenues of research likely to become exciting as further studies yield more detailed results
Article Highlights – an executive summary of the author’s most critical points.