Uncovering the link between human endogenous retroviruses, inflammatory pathways, and gastric cancer development.

IF 2.2 4区医学 Q3 ONCOLOGY

Cancer Biomarkers Pub Date : 2024-01-01 DOI:10.3233/CBM-230417

Zhengtai Li, Hongjiang Li, Kun Fang, Xinglei Lin, Changyuan Yu

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引用次数: 0

Abstract

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.

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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。

背景：内源性逆转录病毒以前被认为是 "垃圾 "DNA，但在最近的科学研究中却受到了关注。这些遗传的基因组元素因其在疾病（尤其是癌症）中的潜在作用而得到认可，凸显了其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，重点是识别 HERV 的表达模式并了解其在胃癌病理学中的意义：方法：采用支持向量机（SVM）和 AdaBoost 算法对 HERV 表达进行定量分析，以识别具有鉴别力的 HERV。利用加权基因共表达网络分析（WGCNA）构建了蛋白编码基因与 HERV 之间的共调控网络：结果：发现三个不同的 HERVs（LTR16A|72|451、LTR91|636|874、LTR27D|87|222）存在显著差异。HERVs与富集在炎症通路中的基因集之间存在很强的相关性：结论：HERVs 似乎会影响异常炎症反应，这表明其在胃癌的发展中起着关键作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Cancer Biomarkers ONCOLOGY-

CiteScore

5.20

自引率

3.20%

发文量

195

审稿时长

3 months

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.