通过综合分析单细胞和大容量RNA测序数据,鉴定和验证基于成纤维细胞免疫相关基因的预后特征,以预测肾透明细胞癌的预后和治疗反应

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-09-23 eCollection Date: 2024-01-01 DOI:10.7150/jca.100194
Shuwen Zhang, Yuqian Yang, Liyi Zhang, Yijiang Liu, Zihun Guo, Jiajun Wu, Weijun Zhou, Zhengdong Hong, Wenxiong Zhang
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引用次数: 0

摘要

背景:成纤维细胞在癌症进展中的重要性日益得到认可,尤其是其免疫相关基因的重要性。然而,这些基因在成纤维细胞整个肿瘤发生过程中发挥的确切作用仍不清楚。探索这些基因在肾透明细胞癌(KIRC)进展过程中的功能,可以为这些不确定性提供答案。材料和方法:癌症基因组图谱(TCGA)数据库是 KIRC 患者的数据来源。我们对成纤维细胞免疫相关基因(FIGs)进行了区分,用于构建风险评分。进一步的分析包括富集分析、肿瘤突变负荷(TMB)评估、肿瘤微环境(TME)评估、免疫细胞浸润分析和药物敏感性预测。结果:使用 6 个 FIG 的风险评分能有效预测 KIRC 患者的预后。与没有风险评分的版本相比,基于风险评分和临床数据的提名图显示出更优越的预测性能。富集分析表明,高危人群主要通过凝血途径,而低危人群则主要通过蛋白质分泌途径。高危患者群的不良预后可能与 TMB 升高有关。TME分析显示,高危人群的肿瘤组织中含有更多的免疫细胞和基质细胞。此外,调节性T细胞的数量随着风险评分的增加而增加。低风险组对免疫疗法的反应更好。最后,RT-qPCR 证实了 FIGs 在 KIRC 患者中的不同表达。结论该风险评分和提名图是评估 KIRC 患者预后的重要工具。高风险组预后较差可能与凝血途径激活和 TMB 较高有关。
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Identification and Validation of a Prognostic Signature Based on Fibroblast Immune-related Genes to Predict the Prognosis and Therapeutic Response of renal clear cell carcinoma by Integrated Analysis of Single-Cell and Bulk RNA Sequencing Data.

Background: The importance of fibroblasts in cancer progression is becoming more acknowledged, particularly the significance of their immune-related genes. However, the precise roles these genes play in fibroblasts throughout tumor development remains unclear. Exploring how these genes function in advancing kidney renal clear cell carcinoma (KIRC) could provide answers to these uncertainties. Material and method: The Cancer Genome Atlas (TCGA) database served as the source of data for KIRC patients. We distinguished fibroblast immune-related genes (FIGs), which are used to construct risk score. Further analysis conducted including enrichment analysis, assessment of tumor mutation burden (TMB), evaluation of tumor microenvironment (TME), analysis of immune cell infiltration, and drug sensitivity prediction. Result: The risk score using 6 FIGs effectively predicts the outcomes for KIRC patients. Nomogram which is based on the risk score and clinical data, demonstrated superior predictive performance compared to the version without the risk score. Enrichment analysis identified that coagulation pathway predominates in high-risk group, the protein secretion pathway is prevalent in low-risk patients' cohort. The adverse prognosis in high-risk patient cohort could be linked to an elevated TMB. TME analysis showed that high-risk group's tumor tissues contain more immune and stromal cells. Furthermore, the amount of regulatory T cells increases with the risk score. Low-risk group response better to immunotherapy. Finally, RT-qPCR confirmed the differential expression of FIGs in KIRC patients. Conclusion: This risk score and nomogram are valuable tools assessing KIRC patients' prognosis. Poorer prognosis in high-risk categories may have relationship with activation of coagulation pathway and a higher TMB.

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