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通过机器学习算法对膀胱癌的预后和免疫治疗反应进行稳健预测。

Robust Prediction of Prognosis and Immunotherapy Response for Bladder Cancer through Machine Learning Algorithm.

机构信息

Department of Clinical Pharmacy, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China.

出版信息

Genes (Basel). 2022 Jun 16;13(6):1073. doi: 10.3390/genes13061073.

DOI:10.3390/genes13061073
PMID:35741835
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9223035/
Abstract

The important roles of machine learning and ferroptosis in bladder cancer (BCa) are still poorly understood. In this study, a comprehensive analysis of 19 ferroptosis-related genes (FRGs) was performed in 1322 patients with BCa from four independent patient cohorts and a pan-cancer cohort of 9824 patients. Twelve FRGs were selected through machine learning algorithm to construct the prognosis model. Significantly differential survival outcomes (hazard ratio (HR) = 2.09, 95% confidence interval (CI): 1.55−2.82, p < 0.0001) were observed between patients with high and low ferroptosis scores in the TCGA cohort, which was also verified in the E-MTAB-4321 cohort (HR = 4.71, 95% CI: 1.58−14.03, p < 0.0001), the GSE31684 cohort (HR = 1.76, 95% CI: 1.08−2.87, p = 0.02), and the pan-cancer cohort (HR = 1.15, 95% CI: 1.07−1.24, p < 0.0001). Tumor immunity-related pathways, including the IL-17 signaling pathway and JAK-STAT signaling pathway, were found to be associated with the ferroptosis score in BCa through a functional enrichment analysis. Further verification in the IMvigor210 cohort revealed the BCa patients with high ferroptosis scores tended to have worse survival outcome after receiving tumor immunotherapy. Significantly different ferroptosis scores could also be found between BCa patients with different reactions to treatment with immune checkpoint inhibitors.

摘要

机器学习和铁死亡在膀胱癌(BCa)中的重要作用仍知之甚少。在这项研究中,对来自四个独立患者队列和一个包含 9824 名患者的泛癌队列的 1322 名 BCa 患者进行了 19 个铁死亡相关基因(FRGs)的综合分析。通过机器学习算法选择了 12 个 FRGs 来构建预后模型。在 TCGA 队列中,铁死亡评分高和低的患者之间观察到显著的生存差异结局(风险比(HR)=2.09,95%置信区间(CI):1.55-2.82,p<0.0001),这在 E-MTAB-4321 队列(HR=4.71,95%CI:1.58-14.03,p<0.0001)、GSE31684 队列(HR=1.76,95%CI:1.08-2.87,p=0.02)和泛癌队列(HR=1.15,95%CI:1.07-1.24,p<0.0001)中也得到了验证。通过功能富集分析发现,肿瘤免疫相关通路,包括 IL-17 信号通路和 JAK-STAT 信号通路,与 BCa 中的铁死亡评分相关。在 IMvigor210 队列中的进一步验证表明,铁死亡评分较高的 BCa 患者在接受肿瘤免疫治疗后生存结局较差。在对免疫检查点抑制剂治疗有不同反应的 BCa 患者之间,也可以发现显著不同的铁死亡评分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07b5/9223035/0bd03730205e/genes-13-01073-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07b5/9223035/e6bedd8b2bd6/genes-13-01073-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07b5/9223035/0bd03730205e/genes-13-01073-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07b5/9223035/e6bedd8b2bd6/genes-13-01073-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07b5/9223035/fe6351c2cf53/genes-13-01073-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07b5/9223035/42b95aa3ba7b/genes-13-01073-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07b5/9223035/844aaed24051/genes-13-01073-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07b5/9223035/ee15e8be42e6/genes-13-01073-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07b5/9223035/0bd03730205e/genes-13-01073-g006.jpg

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本文引用的文献

1
Cancer incidence and mortality in China, 2015.2015年中国的癌症发病率和死亡率
J Natl Cancer Cent. 2020 Dec 17;1(1):2-11. doi: 10.1016/j.jncc.2020.12.001. eCollection 2021 Mar.
2
Cancer Statistics, 2021.癌症统计数据,2021.
CA Cancer J Clin. 2021 Jan;71(1):7-33. doi: 10.3322/caac.21654. Epub 2021 Jan 12.
3
Systematic Analysis of the Aberrances and Functional Implications of Ferroptosis in Cancer.癌症中细胞铁死亡异常及其功能影响的系统分析
iScience. 2020 Jul 24;23(7):101302. doi: 10.1016/j.isci.2020.101302. Epub 2020 Jun 20.
4
PD-L1/PD-1 Biomarker for Metastatic Urothelial Cancer that Progress Post-platinum Therapy: A Systematic Review and Meta-analysis.铂类治疗后进展的转移性尿路上皮癌的PD-L1/PD-1生物标志物:一项系统评价和荟萃分析。
Bladder Cancer. 2019 Nov 22;5(3):211-223. doi: 10.3233/BLC-190238.
5
Hyperprogressive Disease in Patients With Urothelial Carcinoma or Renal Cell Carcinoma Treated With PD-1/PD-L1 Inhibitors.接受 PD-1/PD-L1 抑制剂治疗的尿路上皮癌或肾细胞癌患者的超进展性疾病。
Clin Genitourin Cancer. 2020 Apr;18(2):e122-e133. doi: 10.1016/j.clgc.2019.09.009. Epub 2019 Sep 26.
6
Targeting Histone Deacetylase 6 Reprograms Interleukin-17-Producing Helper T Cell Pathogenicity and Facilitates Immunotherapies for Hepatocellular Carcinoma.靶向组蛋白去乙酰化酶 6 重编程白细胞介素-17 产生辅助性 T 细胞的致病性并促进肝细胞癌的免疫治疗。
Hepatology. 2020 Jun;71(6):1967-1987. doi: 10.1002/hep.30960. Epub 2020 Feb 14.
7
The multifaceted immune regulation of bladder cancer.膀胱癌的多方面免疫调控。
Nat Rev Urol. 2019 Oct;16(10):613-630. doi: 10.1038/s41585-019-0226-y. Epub 2019 Sep 9.
8
RNA Sequencing of the NCI-60: Integration into CellMiner and CellMiner CDB.NCI-60 的 RNA 测序:整合到 CellMiner 和 CellMiner CDB 中。
Cancer Res. 2019 Jul 1;79(13):3514-3524. doi: 10.1158/0008-5472.CAN-18-2047. Epub 2019 May 21.
9
Ferroptosis at the crossroads of cancer-acquired drug resistance and immune evasion.铁死亡在癌症获得性耐药和免疫逃逸的十字路口。
Nat Rev Cancer. 2019 Jul;19(7):405-414. doi: 10.1038/s41568-019-0149-1.
10
Targeting the CBM complex causes T cells to prime tumours for immune checkpoint therapy.靶向 CBM 复合物可使 T 细胞为免疫检查点治疗诱导肿瘤。
Nature. 2019 Jun;570(7759):112-116. doi: 10.1038/s41586-019-1215-2. Epub 2019 May 15.