基于热休克蛋白相关基因构建结直肠癌 12 基因预后模型。

IF 3 3区 医学 Q2 ONCOLOGY International Journal of Hyperthermia Pub Date : 2024-01-01 Epub Date: 2024-01-08 DOI:10.1080/02656736.2023.2290913
Qin Tong, Junchao Zhou
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引用次数: 0

摘要

一些热休克蛋白(HSP)已被证明可影响肿瘤预后,但它们在结直肠癌(CRC)中的预后意义仍不明确。本研究探讨了 HSP 相关基因在 CRC 中的预后意义。研究人员从癌症基因组图谱(TCGA)数据库中获取了CRC患者的转录数据和临床信息,并进行了文献检索以确定HSP相关基因。利用最小绝对选择和收缩操作器(LASSO)回归和单变量/多变量Cox回归分析,成功鉴定出12个与CRC生存率有显著相关性的HSP相关基因,并利用这些基因建立了一个预测性风险评分模型。基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析表明,高风险组和低风险组在染色质重塑生物功能和中性粒细胞胞外陷阱形成途径方面存在显著差异。单样本基因组富集分析(ssGSEA)进一步揭示了两个风险组在免疫细胞类型和免疫功能状态方面的差异。差异分析表明,低风险组的免疫检查点表达较高,而高风险组的肿瘤免疫功能障碍和排斥(TIDE)评分明显较高。此外,我们还预测了不同预后风险患者对各种药物的敏感性,为定制治疗提供了潜在的药物选择。综上所述,我们的研究成功地建立了一个新型的 CRC 预后模型,该模型能有效预测患者的生存、免疫状况和治疗反应,为 CRC 患者的预后提供了重要的支持和指导。
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Construction of a 12-gene prognostic model for colorectal cancer based on heat shock protein-related genes.

Some heat shock proteins (HSPs) have been shown to influence tumor prognosis, but their prognostic significance in colorectal cancer (CRC) remains unclear. This study explored the prognostic significance of HSP-related genes in CRC. Transcriptional data and clinical information of CRC patients were obtained from The Cancer Genome Atlas (TCGA) database, and a literature search was conducted to identify HSP-related genes. Using Least Absolute Selection and Shrinkage Operator (LASSO) regression and univariate/multivariate Cox regression analyses, 12 HSP-related genes demonstrating significant associations with CRC survival were successfully identified and employed to formulate a predictive risk score model. The efficacy and precision of this model were validated utilizing TCGA and Gene Expression Omnibus (GEO) datasets, demonstrating its reliability in CRC prognosis prediction. gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses revealed significant disparities between high- and low-risk groups in chromatin remodeling biological functions and neutrophil extracellular trap formation pathways. Single sample gene set enrichment analysis (ssGSEA) further revealed differences in immune cell types and immune functional status between the two risk groups. Differential analysis showed higher expression of immune checkpoints within the low-risk group, while the high-risk group exhibited notably higher Tumor Immune Dysfunction and Exclusion (TIDE) scores. Additionally, we predicted the sensitivity of different prognosis risk patients to various drugs, providing potential drug choices for tailored treatment. Combined, our study successfully crafted a novel CRC prognostic model that can effectively predict patient survival, immune landscape, and treatment response, providing important support and guidance for CRC patient prognosis.

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来源期刊
CiteScore
5.90
自引率
12.90%
发文量
153
审稿时长
6-12 weeks
期刊介绍: The International Journal of Hyperthermia
期刊最新文献
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