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癌症相关成纤维细胞基因特征:结肠癌生存预测和免疫治疗指导的新方法。

Cancer-associated fibroblasts gene signature: a novel approach to survival prediction and immunotherapy guidance in colon cancer.

作者信息

Zhang Wenbing, Yang Chi, Lu Ye, Tang Chenling, Zhao Mengyu, Wang Zhaohui, Gao Jidong, Hu Shuangjiu, Chen Zhihua

机构信息

Department of General Surgery, Anqing First People's Hospital of Anhui Medical University, Anqing, China.

Department of General Surgery, QingPu Branch of Zhongshan Hospital Affiliated to Fudan University, QingPu District Central Hospital Shanghai, No. 1158, Gong Yuan Dong Road, Shanghai, China.

出版信息

Front Immunol. 2025 Apr 8;16:1532306. doi: 10.3389/fimmu.2025.1532306. eCollection 2025.

Abstract

BACKGROUND

Fibroblasts can regulate tumour development by secreting various factors. For COAD survival prediction and CAFs-based treatment recommendations, it is critical to comprehend the heterogeneity of CAFs and find biomarkers.

METHODS

We identified fibroblast-associated specific marker genes in colon adenocarcinoma by single-cell sequencing analysis. A fibroblasts-related gene signature was developed, and colon adenocarcinoma patients were classified into high-risk and low-risk cohorts based on the median risk score. Additionally, the impact of these risk categories on the tumor microenvironment was evaluated. The ability of CAFGs signature to assess prognosis and guide treatment was validated using external cohorts. Ultimately, we verified MAN1B1 expression and function through assays.

RESULTS

Relying on the bulk RNA-seq and scRNA-seq data study, we created a predictive profile with 11 CAFGs. The profile effectively differentiated survival differences among cohorts of colon adenocarcinoma patients. The nomogram further effectively predicted the prognosis of COAD patients, with low-risk patients having a better prognosis. A higher immune infiltration rate and lower IC50 values of anticancer drugs were significant in the high-risk group. In cellular experiments, Following MAN1B1 knockdown, in cell assays, the colony formation, migration, and invasion ability of HCT116 and HT29 cell lines decreased.

CONCLUSION

Our CAFG signature provides important insights into the role of CAF cells in influencing COAD prognosis. It may also serve as a guide for selecting immunotherapy options and predicting chemotherapy responses in COAD patients.

摘要

背景

成纤维细胞可通过分泌多种因子来调节肿瘤发展。对于结肠癌生存预测和基于癌症相关成纤维细胞(CAFs)的治疗建议而言,理解CAFs的异质性并找到生物标志物至关重要。

方法

我们通过单细胞测序分析在结肠腺癌中鉴定出成纤维细胞相关的特异性标记基因。构建了一个与成纤维细胞相关的基因特征,根据中位风险评分将结肠腺癌患者分为高风险和低风险队列。此外,评估了这些风险类别对肿瘤微环境的影响。使用外部队列验证了CAFGs特征评估预后和指导治疗的能力。最终,我们通过实验验证了MAN1B1的表达和功能。

结果

依靠批量RNA测序和单细胞RNA测序数据研究,我们创建了一个包含11个CAFGs的预测模型。该模型有效地区分了结肠腺癌患者队列之间的生存差异。列线图进一步有效地预测了结肠癌患者的预后,低风险患者预后更好。高风险组中抗癌药物的免疫浸润率较高且IC50值较低。在细胞实验中,敲低MAN1B1后,在细胞实验中,HCT116和HT29细胞系的集落形成、迁移和侵袭能力下降。

结论

我们的CAFG特征为CAF细胞在影响结肠癌预后中的作用提供了重要见解。它还可作为选择免疫治疗方案和预测结肠癌患者化疗反应的指南。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ff2/12011795/60d95af1dbd3/fimmu-16-1532306-g001.jpg

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