Potential of SERINC2 as a biomarker in tumor prognosis and immunology: analysis from pan-cancer studies.

Q3 Medicine
遗传 Pub Date : 2026-03-01 DOI:10.16288/j.yczz.25-090
Min Zhao, Hui-Qi Ying, Yi-Lei Yang, Qing-Lv Chen, Wen Lin, Zhen-Zhai Cai, Li-Miao Lin, Yang-Yang Teng
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引用次数: 0

Abstract

Serine incorporator (SERINC) is a family of transmembrane protein involved in lipid synthesis. Among its family members, SERINC2 has been implicated in tumor pathogenesis. Pancreatic carcinoma (PAAD), a highly malignant tumor characterized by an extremely poor prognosis, lacks effective biomarkers. To date, the association between SERINC2 and pan-cancer or tumor immunity remains unreported in the literature. Consequently, investigating the utility of SERINC2 for prognostic prediction in PAAD lays the groundwork for developing diagnostic biomarkers and SERINC2-targeted immunotherapy strategies. In this study, we used the transcriptional data in normal and tumor tissues from The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx) and Human Protein Atlas (HPA). Analysis of publicly available data (TCGA, GTEx, HPA) revealed significant SERINC2 overexpression in multiple cancers, which was associated with advanced clinicopathological stage (P<0.05). Analysis of the Genomic Stability Associated Cancer Analysis (GSCA) database revealed a significant positive correlation between copy number variation (CNV) and SERINC2 expression levels. Conversely, DNA methylation was inversely correlated with SERINC2 expression (P<0.05). Further investigation utilizing TCGA database demonstrated that SERINC2 expression was significantly associated with the expression of immune checkpoint molecules, response to immunotherapy, and the extent of immune cell infiltration. Notably, a negative correlation was observed between SERINC2 expression and the tumor microenvironment (TME) score in most cancer types analyzed (P<0.05). We constructed a prognostic model for PAAD based on 25 differentially expressed genes (DEGs) identified from the TCGA cohort using the "limma" package. This model effectively stratified patients into high- and low-risk groups with significantly distinct survival outcomes. Immunohistochemical (IHC) analysis of 54 PAAD patient samples validated that high SERINC2 expression was significantly associated with poorer prognosis; patients with high expression had a significantly shorter median overall survival (19.67 vs 50.52 months, P=0.029). Collectively, our findings provide a rationale for developing SERINC2-based diagnostic biomarkers and immunotherapeutic strategies.

SERINC2作为肿瘤预后和免疫学生物标志物的潜力:来自泛癌症研究的分析。
丝氨酸结合子(SERINC)是一个参与脂质合成的跨膜蛋白家族。在其家族成员中,SERINC2与肿瘤发病有关。胰腺癌(PAAD)是一种预后极差的高度恶性肿瘤,缺乏有效的生物标志物。迄今为止,SERINC2与泛癌或肿瘤免疫之间的关系仍未在文献中报道。因此,研究SERINC2在PAAD预后预测中的应用为开发诊断性生物标志物和SERINC2靶向免疫治疗策略奠定了基础。在本研究中,我们使用了来自Cancer Genome Atlas (TCGA)、Genotype-Tissue Expression (GTEx)和Human Protein Atlas (HPA)的正常组织和肿瘤组织的转录数据。对公开数据(TCGA, GTEx, HPA)的分析显示,SERINC2在多种癌症中显著过表达,这与临床病理分期(PSERINC2表达水平)有关。相反,DNA甲基化与SERINC2表达呈负相关(PSERINC2表达与免疫检查点分子的表达、免疫治疗反应和免疫细胞浸润程度显著相关)。值得注意的是,在分析的大多数癌症类型中,SERINC2表达与肿瘤微环境(TME)评分呈负相关(PSERINC2表达与较差的预后显著相关;高表达患者的中位总生存期明显较短(19.67个月vs 50.52个月,P=0.029)。总之,我们的发现为开发基于serinc2的诊断生物标志物和免疫治疗策略提供了理论依据。
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
遗传
遗传 Medicine-Medicine (all)
CiteScore
2.50
自引率
0.00%
发文量
6699
期刊介绍: Hereditas is a national academic journal sponsored by the Institute of Genetics and Developmental Biology of the Chinese Academy of Sciences and the Chinese Society of Genetics and published by Science Press. It is a Chinese core journal and a Chinese high-quality scientific journal. The journal mainly publishes innovative research papers in the fields of genetics, genomics, cell biology, developmental biology, biological evolution, genetic engineering and biotechnology; new technologies and new methods; monographs and reviews on hot issues in the discipline; academic debates and discussions; experience in genetics teaching; introductions to famous geneticists at home and abroad; genetic counseling; information on academic conferences at home and abroad, etc. Main columns: review, frontier focus, research report, technology and method, resources and platform, experimental operation guide, genetic resources, genetics teaching, scientific news, etc.
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