Cancer Biomark. 2024;41(2):103-113. doi: 10.3233/CBM-230417.
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.
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.
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).
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.
HERVs appear to influence abnormal inflammatory responses, suggesting a pivotal role in gastric cancer development.
内源性逆转录病毒,以前被认为是“垃圾”DNA,在最近的科学研究中引起了关注。这些遗传基因组元件现在因其在疾病中的潜在作用而受到重视,特别是癌症,突出了它们作为潜在诊断或治疗靶点的价值。
本研究旨在探讨人类内源性逆转录病毒(HERV)与胃癌之间的关联,重点在于辨别 HERV 的表达模式,并了解其在胃癌病理学中的意义。
采用支持向量机(SVM)和 AdaBoost 算法对 HERV 的表达进行定量分析,以识别有区别的 HERV。使用加权基因共表达网络分析(WGCNA)构建蛋白质编码基因与 HERV 之间的共调控网络。
鉴定出三个明显不同的 HERV(LTR16A|72|451、LTR91|636|874、LTR27D|87|222)。发现 HERV 之间存在强烈的相关性,与炎症途径中富集的基因集相关。
HERV 似乎影响异常的炎症反应,提示其在胃癌发展中起着关键作用。