透明细胞肾细胞癌(ccRCC)中吞噬细胞调节因子相关基因组合的预后和进展。

IF 1.5 4区 医学 Q4 ONCOLOGY
Translational cancer research Pub Date : 2024-09-30 Epub Date: 2024-09-27 DOI:10.21037/tcr-24-139
Ruihai Xiao, Zepeng Luo, Hongwei Huang, Yingqun Yin
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引用次数: 0

摘要

背景:根据特定特征开发预测预后的特征已成为肿瘤学的研究热点。然而,吞噬调节因子在透明细胞肾细胞癌(ccRCC)中的预后价值仍不明确。本研究旨在通过构建与吞噬调节因子相关的预后模型,探讨吞噬调节因子在ccRCC中的预后意义,并利用该模型评估ccRCC患者的预后和治疗效果:首先,从癌症基因组图谱(TCGA)数据库下载肾透明细胞癌(KIRC)的转录组数据(RNA-Seq)和临床数据。根据文献 PMID 34497417 和 PMID 30397336,文献中收集的 173 个吞噬调节基因中有 167 个在 TCGA-KIRC 中表达。通过单样本基因组富集分析(ssGSEA)揭示了这些调控因子与巨噬细胞之间的关系,并利用基因本体(GO)和京都基因组百科全书(KEGG)富集分析进一步分析了其生物学和通路参与。采用单变量 Cox 回归分析和最小绝对缩小和选择算子(LASSO)方法进一步筛选出具有预后潜力的吞噬调节因子,从而构建了预后回归模型。此外,还进行了单变量和多变量 Cox 回归分析,以确认与吞噬调节因子相关的基因在预后方面的独立性。最后,探讨了吞噬调节因子相关基因与患者免疫微环境和免疫治疗反应之间的关系:结果:我们利用基因的 LASSO Cox 回归分析构建了吞噬调节因子相关基因组合的预后模型,结果表明我们的组合模型是一个独立的预后因素。该模型在预测长期生存方面具有最佳性能。临床特征与吞噬调节基因评分有明显相关性。分级和分期越高的肿瘤,其吞噬调节基因越高。我们的研究表明,吞噬调节基因在预测患者免疫治疗疗效方面并没有发挥理想的作用:我们利用吞噬调节相关基因的组合构建了一个预后模型,为ccRCC的预后和进展提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prognosis and progression of phagocytic regulatory factor-related gene combinations in clear cell renal cell carcinoma (ccRCC).

Background: Developing signatures based on specific characteristics to predict prognosis has become a research hotspot in oncology. However, the prognostic value of phagocytosis regulators in clear cell renal cell carcinoma (ccRCC) remains unclear. The aim of the present study was to investigate the prognostic significance of phagocytosis regulators in ccRCC by constructing a prognostic model related to phagocytosis regulators, and to use this model to evaluate the prognosis and treatment effects in ccRCC patients.

Methods: Firstly, kidney renal clear cell carcinoma (KIRC) transcriptome data (RNA-Seq) and clinical data were downloaded from The Cancer Genome Atlas (TCGA) database. Based on literatures PMID 34497417 and PMID 30397336, 167 of the 173 phagocytosis regulator genes collected in the literature were expressed in TCGA-KIRC. The relationship between these regulators and macrophages was revealed through single-sample gene set enrichment analysis (ssGSEA), and their biological and pathway involvements were further analyzed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Univariate Cox regression analysis and the least absolute shrinkage and selection operator (LASSO) method were employed to further select phagocytosis regulators with prognostic potential, leading to the construction of a prognostic regression model. Additionally, univariate and multivariate Cox regression analyses were conducted to confirm the prognostic independence of genes associated with phagocytosis regulators. Finally, the relationship between phagocytosis regulator-related genes and patients' immune microenvironments and immunotherapy responses was explored.

Results: We have constructed a prognostic model of a combination of genes associated with phagocytosis regulators using LASSO Cox regression analysis of genes, and our combined model was shown to be an independent prognostic factor. The model had optimal performance in predicting long-term survival. Clinical features were significantly correlated with phagocytosis regulatory gene scores. Tumors with higher levels of grade and stage were more prone to have higher phagocytosis regulatory genes. And our study suggests that phagocytosis regulatory genes do not play an ideal role in predicting the efficacy of immunotherapy in patients.

Conclusions: We have constructed a prognostic model using a combination of genes associated with phagocytosis regulators, providing new insights into the prognosis and progression of ccRCC.

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来源期刊
CiteScore
2.10
自引率
0.00%
发文量
252
期刊介绍: Translational Cancer Research (Transl Cancer Res TCR; Print ISSN: 2218-676X; Online ISSN 2219-6803; http://tcr.amegroups.com/) is an Open Access, peer-reviewed journal, indexed in Science Citation Index Expanded (SCIE). TCR publishes laboratory studies of novel therapeutic interventions as well as clinical trials which evaluate new treatment paradigms for cancer; results of novel research investigations which bridge the laboratory and clinical settings including risk assessment, cellular and molecular characterization, prevention, detection, diagnosis and treatment of human cancers with the overall goal of improving the clinical care of cancer patients. The focus of TCR is original, peer-reviewed, science-based research that successfully advances clinical medicine toward the goal of improving patients'' quality of life. The editors and an international advisory group of scientists and clinician-scientists as well as other experts will hold TCR articles to the high-quality standards. We accept Original Articles as well as Review Articles, Editorials and Brief Articles.
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