Zhengtai Li, Hongjiang Li, Kun Fang, Xinglei Lin, Changyuan Yu
{"title":"揭示人类内源性逆转录病毒、炎症途径和胃癌发展之间的联系。","authors":"Zhengtai Li, Hongjiang Li, Kun Fang, Xinglei Lin, Changyuan Yu","doi":"10.3233/CBM-230417","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Endogenous retroviruses, previously deemed \"junk\" DNA, have gained attention in recent scientific studies. These inherited genomic elements are now recognized for their potential roles in diseases, especially cancer, highlighting their value as potential diagnostic or therapeutic targets.</p><p><strong>Objective: </strong>This research aims to explore the association between human endogenous retroviruses (HERV) and gastric cancer, focusing on discerning HERV expression patterns and understanding their implications in gastric cancer pathology.</p><p><strong>Methods: </strong>A quantitative analysis of HERV expression was conducted, employing Support Vector Machine (SVM) and AdaBoost algorithms to identify discriminative HERVs. The co-regulation network between protein-coding genes and HERVs was constructed using the Weighted Gene Co-expression Network Analysis (WGCNA).</p><p><strong>Results: </strong>Three distinct HERVs (LTR16A|72|451, LTR91|636|874, LTR27D|87|222) were identified as significantly different. Strong correlations were found between HERVs, and gene sets enriched in the inflammatory pathway.</p><p><strong>Conclusions: </strong>HERVs appear to influence abnormal inflammatory responses, suggesting a pivotal role in gastric cancer development.</p>","PeriodicalId":56320,"journal":{"name":"Cancer Biomarkers","volume":" ","pages":"103-113"},"PeriodicalIF":2.2000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11492024/pdf/","citationCount":"0","resultStr":"{\"title\":\"Uncovering the link between human endogenous retroviruses, inflammatory pathways, and gastric cancer development.\",\"authors\":\"Zhengtai Li, Hongjiang Li, Kun Fang, Xinglei Lin, Changyuan Yu\",\"doi\":\"10.3233/CBM-230417\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Endogenous retroviruses, previously deemed \\\"junk\\\" DNA, have gained attention in recent scientific studies. These inherited genomic elements are now recognized for their potential roles in diseases, especially cancer, highlighting their value as potential diagnostic or therapeutic targets.</p><p><strong>Objective: </strong>This research aims to explore the association between human endogenous retroviruses (HERV) and gastric cancer, focusing on discerning HERV expression patterns and understanding their implications in gastric cancer pathology.</p><p><strong>Methods: </strong>A quantitative analysis of HERV expression was conducted, employing Support Vector Machine (SVM) and AdaBoost algorithms to identify discriminative HERVs. The co-regulation network between protein-coding genes and HERVs was constructed using the Weighted Gene Co-expression Network Analysis (WGCNA).</p><p><strong>Results: </strong>Three distinct HERVs (LTR16A|72|451, LTR91|636|874, LTR27D|87|222) were identified as significantly different. Strong correlations were found between HERVs, and gene sets enriched in the inflammatory pathway.</p><p><strong>Conclusions: </strong>HERVs appear to influence abnormal inflammatory responses, suggesting a pivotal role in gastric cancer development.</p>\",\"PeriodicalId\":56320,\"journal\":{\"name\":\"Cancer Biomarkers\",\"volume\":\" \",\"pages\":\"103-113\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11492024/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cancer Biomarkers\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3233/CBM-230417\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Biomarkers","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3233/CBM-230417","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
Uncovering the link between human endogenous retroviruses, inflammatory pathways, and gastric cancer development.
Background: Endogenous retroviruses, previously deemed "junk" DNA, have gained attention in recent scientific studies. These inherited genomic elements are now recognized for their potential roles in diseases, especially cancer, highlighting their value as potential diagnostic or therapeutic targets.
Objective: This research aims to explore the association between human endogenous retroviruses (HERV) and gastric cancer, focusing on discerning HERV expression patterns and understanding their implications in gastric cancer pathology.
Methods: A quantitative analysis of HERV expression was conducted, employing Support Vector Machine (SVM) and AdaBoost algorithms to identify discriminative HERVs. The co-regulation network between protein-coding genes and HERVs was constructed using the Weighted Gene Co-expression Network Analysis (WGCNA).
Results: Three distinct HERVs (LTR16A|72|451, LTR91|636|874, LTR27D|87|222) were identified as significantly different. Strong correlations were found between HERVs, and gene sets enriched in the inflammatory pathway.
Conclusions: HERVs appear to influence abnormal inflammatory responses, suggesting a pivotal role in gastric cancer development.
期刊介绍:
Concentrating on molecular biomarkers in cancer research, Cancer Biomarkers publishes original research findings (and reviews solicited by the editor) on the subject of the identification of markers associated with the disease processes whether or not they are an integral part of the pathological lesion.
The disease markers may include, but are not limited to, genomic, epigenomic, proteomics, cellular and morphologic, and genetic factors predisposing to the disease or indicating the occurrence of the disease. Manuscripts on these factors or biomarkers, either in altered forms, abnormal concentrations or with abnormal tissue distribution leading to disease causation will be accepted.