[泛癌分析PYCR1及其对膀胱癌化疗和免疫治疗反应的预测价值]。

Q3 Medicine
Yutong Li, Xingyu Song, Ruixu Sun, Xuan Dong, Hongwei Liu
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引用次数: 0

摘要

目的:探讨吡啶-5-羧酸还原酶1 (pyroline -5-carboxylate reductase 1, PYCR1)作为泛癌生物标志物的潜力,研究其在膀胱癌(BLCA)中的表达、功能及临床意义。方法:通过生物信息学分析,评价PYCR1与肿瘤患者预后、免疫微环境重塑、肿瘤突变负荷(tumor mutation burden, TMB)、微卫星不稳定性(microsatellite instability, MSI)的相关性。利用TCGA-BLCA数据集,进行单因素和多因素回归分析,评估PYCR1作为BLCA独立预后危险因素的潜力,并构建临床决策模型。IMvigor210队列被用来评估PYCR1在独立预测免疫治疗疗效方面的潜力。使用prophytic筛选用于治疗PYCR1高表达BLCA的候选化疗药物。利用CMap-XSum算法和分子对接技术对PYCR1小分子抑制剂进行探索和验证。结果:PYCR1高表达与各种肿瘤的预后不良、免疫细胞浸润、TMB和MSI显著相关(r>0.3)。PYCR1在BLCA中过表达,且高表达与BLCA患者预后不良密切相关(HR: 1.14, 95% CI: 1.02 ~ 1.68, P=0.006)。抗肿瘤药物西妥昔单抗、5-氟尿嘧啶、阿霉素在PYCR1高表达的BLCA细胞株中IC50显著升高(p结论:PYCR1高表达是BLCA患者预后不良的独立危险因素,可作为临床决策的重要指标,也是预测化疗药物敏感性和免疫治疗效果的标志。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[A pan-cancer analysis of PYCR1 and its predictive value for chemotherapy and immunotherapy responses in bladder cancer].

Objectives: To explore the potential of pyrroline-5-carboxylate reductase 1 (PYCR1) as a pan-cancer biomarker and investigate its expression, function, and clinical significance in bladder cancer (BLCA).

Methods: Bioinformatics analysis was conducted to evaluate the associations of PYCR1 with prognosis, immune microenvironment remodeling, tumor mutation burden (TMB), and microsatellite instability (MSI) in cancer patients. Using the TCGA-BLCA dataset, univariate and multivariate regression analyses were performed to assess the potential of PYCR1 as an independent prognostic risk factor for BLCA, and a clinical decision model was constructed. The IMvigor210 cohort was utilized to evaluate the potential of PYCR1 for independently predicting the efficacy of immunotherapy. The pRRophetic was employed to screen candidate chemotherapeutic agents for treating BLCA with high PYCR1 expression. The CMap-XSum algorithm and molecular docking techniques were used to explore and validate small molecule inhibitors of PYCR1.

Results: A high expression of PYCR1 was significantly associated with poor prognosis, immune cell infiltration, TMB and MSI in various tumors (r>0.3). PYCR1 was overexpressed in BLCA, and high PYCR1 expression was closely related to poor prognosis in BLCA patients (HR: 1.14, 95% CI: 1.02-1.68, P=0.006). The IC50 of the anti-cancer drugs cetuximab, 5-fluorouracil, and doxorubicin increased significantly in BLCA cell lines with high PYCR1 expressions (P<0.0001).

Conclusions: High PYCR1 expression is an independent risk factor for poor prognosis in BLCA patients and can serve as a significant indicator for clinical decision-making as well as a marker for predicting sensitivity to chemotherapeutic agents and the efficacy of immunotherapy.

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来源期刊
南方医科大学学报杂志
南方医科大学学报杂志 Medicine-Medicine (all)
CiteScore
1.50
自引率
0.00%
发文量
208
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