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一种基于单细胞测序和批量转录组分析的新型结直肠癌失巢凋亡相关基因预后模型。

A novel anoikis related gene prognostic model for colorectal cancer based on single cell sequencing and bulk transcriptome analyses.

作者信息

Yang Lei, Zhang Yuan

机构信息

Department of Gastroenterology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.

Key Clinical Laboratory of Henan Province, Department of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.

出版信息

Sci Rep. 2025 Aug 18;15(1):30155. doi: 10.1038/s41598-025-15389-8.

DOI:10.1038/s41598-025-15389-8
PMID:40820175
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12358598/
Abstract

Colorectal cancer (CRC) is a most deadly cancer, and effective prognostic biomarkers are urgently needed. Although anoikis has diverse regulatory roles in tumor progression, the impact of anoikis-related genes (ANRG) by single-cell and bulk transcriptome analyses on the prognostic value for CRC have not been studied. Differentially expressed genes (DEGs) associated with anoikis were obtained by performing single-cell RNA-sequencing (scRNA-seq) analysis in cells with high and low ANRG expression and weighted correlation network analysis (WGCNA) in a bulk RNA sequencing dataset. Key prognostic genes were selected from anoikis associated DEGs by least absolute shrinkage and selection operator (LASSO)-Cox regression analysis, and a prognostic model was established based on the risk score calculated from the expression levels of the identified key prognostic genes. A 10 anoikis-related-gene prognostic model (MGP, TPM2, CRIP2, TUBB6, C1orf54, NOTCH3, LTBP1, CSRP2, FSTL3, and VIM) was developed and the area under the curve (AUC) values of the model in predicting 1-, 3- and 5-year survival probabilities reached 0.744, 0.797, and 0.755, respectively. In conclusion, anoikis related genes could be promising prognostic factors for risk stratification of CRC patients.

摘要

结直肠癌(CRC)是一种极具致命性的癌症,迫切需要有效的预后生物标志物。尽管失巢凋亡在肿瘤进展中具有多种调节作用,但通过单细胞和批量转录组分析研究失巢凋亡相关基因(ANRG)对CRC预后价值的影响尚未见报道。通过对高表达和低表达ANRG的细胞进行单细胞RNA测序(scRNA-seq)分析以及在批量RNA测序数据集中进行加权基因共表达网络分析(WGCNA),获得与失巢凋亡相关的差异表达基因(DEG)。通过最小绝对收缩和选择算子(LASSO)-Cox回归分析从失巢凋亡相关的DEG中筛选关键预后基因,并基于从鉴定出的关键预后基因的表达水平计算出的风险评分建立预后模型。构建了一个包含10个失巢凋亡相关基因的预后模型(MGP、TPM2、CRIP2、TUBB6、C1orf54、NOTCH3、LTBP1、CSRP2、FSTL3和VIM),该模型预测1年、3年和5年生存概率的曲线下面积(AUC)值分别达到0.744、0.797和0.755。总之,失巢凋亡相关基因可能是CRC患者风险分层的有前景的预后因素。

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本文引用的文献

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KEGG: biological systems database as a model of the real world.京都基因与基因组百科全书(KEGG):作为现实世界模型的生物系统数据库。
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Targeting anoikis resistance as a strategy for cancer therapy.针对失巢凋亡抵抗的癌症治疗策略。
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Identification of the molecular subtypes and signatures to predict the prognosis, biological functions, and therapeutic response based on the anoikis-related genes in colorectal cancer.
基于结直肠癌中与失巢凋亡相关的基因,鉴定分子亚型和特征,以预测预后、生物学功能和治疗反应。
Cancer Med. 2024 May;13(10):e7315. doi: 10.1002/cam4.7315.
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Anoikis-related signature identifies tumor microenvironment landscape and predicts prognosis and drug sensitivity in colorectal cancer.失巢凋亡相关特征可识别肿瘤微环境格局并预测结直肠癌的预后和药物敏感性。
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A novel anoikis-related gene prognostic signature and its correlation with the immune microenvironment in colorectal cancer.一种新的与失巢凋亡相关的基因预后特征及其与结直肠癌免疫微环境的相关性。
Front Genet. 2023 May 30;14:1186862. doi: 10.3389/fgene.2023.1186862. eCollection 2023.
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J Cancer Res Clin Oncol. 2023 Sep;149(12):10879-10892. doi: 10.1007/s00432-023-04945-2. Epub 2023 Jun 15.
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Anoikis patterns exhibit distinct prognostic and immune landscapes in Osteosarcoma.失巢凋亡模式在骨肉瘤中呈现出不同的预后和免疫格局。
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