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整合多组学分析,解读作为线粒体代谢相关基因的LRP2表达与结肠癌预后之间的相互作用。

Deciphering the interaction between the expression of LRP2 served as a mitochondrial metabolism-related gene and prognosis in colon cancer integrating multi-omics analysis.

作者信息

Zhang Jie, Liu Ziyun, Ma Xiaoqing, Shi Zhenyu, Zhao Jing, Xie Yongjie, Shang Xiaobin, Zhang Xia

机构信息

Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University, Tianjin, 300060, China.

Department of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China.

出版信息

Discov Oncol. 2025 May 16;16(1):782. doi: 10.1007/s12672-025-02568-2.

DOI:10.1007/s12672-025-02568-2
PMID:40377809
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12084449/
Abstract

BACKGROUND

Colon adenocarcinoma (COAD) is increasingly prevalent among patients under 50 years old, and the 5-year survival rate for patients with metastasis is less than 20%. Identifying significant biomarkers and therapeutic targets is crucial. We investigated the expression of LRP2 in COAD and its prognostic value utilizing single-cell sequencing and transcriptomics datasets, which was conducted preliminary validation at the patient samples and cellular levels as well.

METHODS

Based on differential gene expression of tumor samples and normal tissues in The Cancer Genome Atlas (TCGA), we performed consensus clustering, univariate and multivariate Cox regression analysis applying 1,234 mitochondrial metabolism-related genes (MMRGs) to identify some essential genes associated with poor prognosis in COAD patients. We validated survival outcome and biological function of the target gene leveraging single-cell sequencing and transcriptomics datasets from Gene Expression Omnibus (GEO), and evaluated the value of the target gene in the clinical pathology stage of COAD patients. Simultaneously, the expression levels of critical gene were detected in the diverse tissues of COAD by immunohistochemistry (IHC) staining. Transcriptomics data was continuously implemented to compare the discrepancy between the expression levels of the target gene and somatic mutation burden, inspecting the key pathways of the target gene by gene set enrichment analysis (GSEA) and examining its drug sensitivity synthetically in the CellMiner databases. The proliferative capacity augmented in LRP2-overexpressed colon cancer cells was determined employing cell counting kit-8 (CCK-8) and flow cytometry assays.

RESULTS

LRP2 served as a key mitochondrial metabolism-related gene was assessed clinical prognosis in COAD patients according to the TCGA database. High expression of LRP2 was prominently associated with poor prognosis in COAD patients (P < 0.05), which was validated by GEO databases, and the expression levels of LRP2 were positively related to clinical pathological stage simultaneously (P < 0.05). Some specific cell types were clustered and proliferation pathways were immensely enriched, which were correlated with LRP2 in two single-cell sequencing datasets. The mutation profiles displayed remarkable differences in two levels of LRP2, we also observed high expressions of LRP2 were immensely correlated with high tumor mutation burden (TMB) and unfavorable prognosis in these patients (P < 0.05). LRP2 was significantly enriched in multiple cancer proliferation-related pathways, and the noteworthy correlation between LRP2 and the sensitivity to various drugs was identified (P < 0.05). The expression levels of LRP2 were multifarious in different COAD patients based on IHC staining. LRP2-overpression could stimulate the proliferation capability of HCT116 and SW480 cell lines markedly (P < 0.05).

CONCLUSION

The expression levels of LRP2 were intimately correlated with gene mutations, prognosis, pathological stage and the sensitivity to anticancer drugs in COAD. Augmented levels of LRP2 would manifest poor prognosis, which furnished novel insights for clinical diagnosis and treatment in COAD. LRP2 could extensively facilitate the proliferation ability of colon cell lines.

摘要

背景

结肠癌(COAD)在50岁以下患者中日益普遍,发生转移的患者5年生存率低于20%。确定重要的生物标志物和治疗靶点至关重要。我们利用单细胞测序和转录组学数据集研究了LRP2在COAD中的表达及其预后价值,并在患者样本和细胞水平上进行了初步验证。

方法

基于癌症基因组图谱(TCGA)中肿瘤样本与正常组织的差异基因表达,我们应用1234个线粒体代谢相关基因(MMRG)进行共识聚类、单因素和多因素Cox回归分析,以确定一些与COAD患者预后不良相关的关键基因。我们利用来自基因表达综合数据库(GEO)的单细胞测序和转录组学数据集验证了靶基因的生存结果和生物学功能,并评估了靶基因在COAD患者临床病理分期中的价值。同时,通过免疫组织化学(IHC)染色检测COAD不同组织中关键基因的表达水平。持续运用转录组学数据比较靶基因表达水平与体细胞突变负担之间的差异,通过基因集富集分析(GSEA)检查靶基因的关键途径,并在CellMiner数据库中综合检测其药物敏感性。采用细胞计数试剂盒-8(CCK-8)和流式细胞术检测LRP2过表达的结肠癌细胞增殖能力的增强情况。

结果

根据TCGA数据库,LRP2作为关键的线粒体代谢相关基因被评估用于COAD患者的临床预后。LRP2高表达与COAD患者预后不良显著相关(P<0.05),这在GEO数据库中得到验证,且LRP2表达水平与临床病理分期也呈正相关(P<0.05)。在两个单细胞测序数据集中,一些特定细胞类型被聚类,增殖途径大量富集,且与LRP2相关。在LRP2的两个水平上,突变谱显示出显著差异,我们还观察到这些患者中LRP2高表达与高肿瘤突变负担(TMB)及不良预后密切相关(P<0.05)。LRP2在多个癌症增殖相关途径中显著富集,并确定了LRP2与对各种药物敏感性之间的显著相关性(P<0.05)。基于IHC染色,LRP2在不同COAD患者中的表达水平各不相同。LRP2过表达可显著刺激HCT116和SW480细胞系的增殖能力(P<0.05)。

结论

LRP2的表达水平与COAD中的基因突变、预后、病理分期及抗癌药物敏感性密切相关。LRP2水平升高预示预后不良,这为COAD的临床诊断和治疗提供了新的见解。LRP2可广泛促进结肠细胞系的增殖能力。

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