CDH1, CAV1, NR3C1, and ZEB1 are Potential Biomarkers in Colorectal Cancer Drug Resistance and Prognosis.

IF 2.7 4区 医学 Q3 ONCOLOGY
Technology in Cancer Research & Treatment Pub Date : 2026-01-01 Epub Date: 2026-03-10 DOI:10.1177/15330338261430993
Pengfei Wu, Guodong Liu, Lening Shao, Yongyou Wu
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引用次数: 0

Abstract

IntroductionColorectal cancer (CRC) remains a leading cause of cancer-related mortality globally, with drug resistance and poor prognosis significantly limiting treatment efficacy. To address this unmet clinical need, this study aimed to screen potential biomarkers for CRC drug resistance and prognosis through integrated bioinformatics analysis and clinical sample validation.MethodsWe analyzed Gene Expression Omnibus (GEO) database GSE153412 to screen differentially expressed genes (DEGs) between 5-fluorouracil (5-FU)-resistant and sensitive CRC cells (|log2FC| > 1.0, adj P < 0.05). Gene set enrichment analysis (GSEA) was used for pathway enrichment, Weighted gene co-expression network analysis (WGCNA) to identify resistance-related modules (correlation > 0.7, P < 0.01), and Protein-protein interaction (PPI) networks to screen hub genes. Their prognostic value was evaluated in TCGA-COAD, along with IC50 correlation. Finally, qPCR verified biomarker expression in clinical CRC samples.ResultsThere were altogether 1033 DEGs screened. Through GSEA, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and Gene Ontology (GO) terms enriched by the DEGs were obtained. By PPI network construction, hub genes were screened. In TCGA-COAD datasets, CAV1 (P = 0.018), CDH1 (P = 0.049), CXCL8 (P = 0.00068), CD24 (P = 0.00017), NR3C1 (P = 0.016), and ZEB1 (P = 0.042) were also related to CRC prognosis. The correlation analysis of key genes and drug resistance suggested the emergence of CDH1, CAV1, NR3C1, and ZEB1, which was also examined by clinical data validation.ConclusionIntegrated bioinformatics and clinical validation analyses identified CDH1, CAV1, NR3C1, and ZEB1 as key biomarkers for CRC. These genes were significantly associated with 5-FU resistance and CRC prognosis, as supported by their dysregulated expression in clinical samples, highlighting their mechanistic roles in the CRC drug resistance pathways.

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CDH1、CAV1、NR3C1和ZEB1是结直肠癌耐药和预后的潜在生物标志物
结直肠癌(CRC)仍然是全球癌症相关死亡的主要原因,耐药和预后不良严重限制了治疗效果。为了解决这一未满足的临床需求,本研究旨在通过综合生物信息学分析和临床样本验证来筛选结直肠癌耐药和预后的潜在生物标志物。方法分析GEO基因表达综合数据库GSE153412,筛选5-氟尿嘧啶(5-FU)耐药和敏感CRC细胞之间的差异表达基因(DEGs) (|log2FC| |.0, adj p0.7, P CAV1 (P = 0.018), CDH1 (P = 0.049), CXCL8 (P = 0.00068), CD24 (P = 0.00017), NR3C1 (P = 0.016)和ZEB1 (P = 0.042)也与CRC预后相关。关键基因与耐药的相关性分析提示出现了CDH1、CAV1、NR3C1、ZEB1,并进行了临床数据验证。结论综合生物信息学和临床验证分析发现,CDH1、CAV1、NR3C1和ZEB1是结直肠癌的关键生物标志物。这些基因与5-FU耐药和CRC预后显著相关,在临床样本中的表达失调支持了这一点,突出了它们在CRC耐药途径中的机制作用。
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
CiteScore
4.40
自引率
0.00%
发文量
202
审稿时长
2 months
期刊介绍: Technology in Cancer Research & Treatment (TCRT) is a JCR-ranked, broad-spectrum, open access, peer-reviewed publication whose aim is to provide researchers and clinicians with a platform to share and discuss developments in the prevention, diagnosis, treatment, and monitoring of cancer.
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