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基于生物信息学分析鉴定结直肠癌中与免疫细胞浸润相关的新型淋巴管生成特征

英文原题:Identification of a novel lymphangiogenesis signature associated with immune cell infiltration in colorectal cancer based on bioinformatics analysis.

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Identification of a novel lymphangiogenesis signature associated with immune cell infiltration in colorectal cancer based on bioinformatics analysis.

PubMed 2024/01/02(内容时间) BMC Med Genomics Q2 · IF 2.6(JCR 2025)

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研究概要

我们的发现凸显了淋巴管生成在 CRC 进展和转移中的关键作用,并为 CRC 提供了一种新的基因特征以及针对 CRC 抗淋巴管生成治疗的新策略。

研究思路结论见上方概要

淋巴管生成在肿瘤进展中发挥重要作用,并与肿瘤免疫浸润显著相关。然而,淋巴管生成在结直肠癌(CRC)中的作用和机制仍不清楚。因此,本研究旨在识别与免疫浸润相关的淋巴管生成相关基因,并探讨其预后价值。

从癌症基因组图谱(TCGA)和基因表达综合数据库(GEO)中获取了CRC样本的mRNA表达谱及相应的临床信息。从分子特征数据库(MSigDB)中收集了淋巴管生成相关基因(LymRGs)。使用ssGSEA对淋巴管生成评分(LymScore)和免疫细胞浸润水平进行了量化。使用加权基因共表达网络分析(WGCNA)鉴定了LymScore和免疫细胞浸润水平相关的枢纽基因。进行了单因素Cox和LASSO回归分析,以鉴定预后基因特征并构建风险模型。此外,基于多因素Cox模型生成的独立风险因素构建了预测列线图。

通过WGCNA共鉴定出1076个LymScore和免疫细胞浸润水平相关的枢纽基因,来自三个关键模块。LymScore与NK 细胞以及调节性T细胞浸润呈正相关。这些模块基因富集于细胞外基质和结构、胶原纤维组织、细胞-基质黏附等。NUMBL、TSPAN11、PHF21A、PDGFRA、ZNF385A和RIMKLB最终被确定为CRC的预后基因特征。根据中位风险评分将患者分为高风险组和低风险组,高风险组患者生存较差,且易发生转移和处于晚期阶段。在Human Protein Atlas(HPA)数据库中,与正常样本相比,肿瘤样本中NUMBL和PHF21A表达上调,而PDGFRA表达下调。

展开英文摘要原文

Lymphangiogenesis plays an important role in tumor progression and is significantly associated with tumor immune infiltration. However, the role and mechanisms of lymphangiogenesis in colorectal cancer (CRC) are still unknown. Thus, the objective is to identify the lymphangiogenesis-related genes associated with immune infiltration and investigation of their prognosis value.

mRNA expression profiles and corresponding clinical information of CRC samples were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The lymphangiogenesis-related genes (LymRGs) were collected from the Molecular Signatures database (MSigDB). Lymphangiogenesis score (LymScore) and immune cell infiltrating levels were quantified using ssGSEA. LymScore) and immune cell infiltrating levels-related hub genes were identified using weighted gene co-expression network analysis (WGCNA). Univariate Cox and LASSO regression analyses were performed to identify the prognostic gene signature and construct a risk model. Furthermore, a predictive nomogram was constructed based on the independent risk factor generated from a multivariate Cox model.

A total of 1076 LymScore and immune cell infiltrating levels-related hub genes from three key modules were identified by WGCNA. Lymscore is positively associated with natural killer cells as well as regulator T cells infiltrating. These modular genes were enriched in extracellular matrix and structure, collagen fibril organization, cell-substrate adhesion, etc. NUMBL, TSPAN11, PHF21A, PDGFRA, ZNF385A, and RIMKLB were eventually identified as the prognostic gene signature in CRC. And patients were divided into high-risk and low-risk groups based on the median risk score, the patients in the high-risk group indicated poor survival and were predisposed to metastasis and advanced stages. NUMBL and PHF21A were upregulated but PDGFRA was downregulated in tumor samples compared with normal samples in the Human Protein Atlas (HPA) database.

Our finding highlights the critical role of lymphangiogenesis in CRC progression and metastasis and provides a novel gene signature for CRC and novel therapeutic strategies for anti-lymphangiogenic therapies in CRC.

论文信息

作者
Liu H、Shi H、Sun Y
第一作者单位
Department of General Surgery, Wuxi Fifth People's Hospital Affiliated to Jiangnan University, Wuxi, Jiangsu, China.China
通讯作者单位
Department of General Surgery, The 960th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army, Jinan, China. sunny4367@sohu.com.China
期刊
BMC medical genomics2024 Jan 2
原文标识
PubMed 38167072 · DOI 10.1186/s12920-023-01781-8