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Three-gene risk model in papillary renal cell carcinoma: a robust likelihood-based survival analysis

机译：乳头肾细胞癌三基因风险模型：基于稳健的基于似的生存分析

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Background: Papillary renal cell carcinoma (PRCC) accounts for 15% of all renal cell carcinomas. The molecular mechanisms of renal papillary cell carcinoma remain unclear, and treatments for advanced disease are limited.

机译：背景：乳头状肾细胞癌（PRCC）占所有肾细胞癌的15％。肾乳头状细胞癌的分子机制仍然尚不清楚，晚期疾病的治疗有限。

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期刊名称 Aging (Albany NY)
作者
Yutao Wang; Kexin Yan; Jiaxing Lin; Jianfeng Wang; Zhenhua Zheng; Xinxin Li; Zhixiong Hua; Yuepeng Bu; Jianxiu Shi; Siqing Sun; Xuejie Li; Yang Liu; Jianbin Bi;
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作者单位

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年(卷),期 2020(12),21
年度 2020
页码 21854–21873
总页数 20
原文格式 PDF
正文语种
中图分类细胞生物学;
关键词
papillary renal cell carcinoma (PRCC); robust risk model; weighted gene co-expression network analysis (WGCNA); immune infiltration; tumor mutation burden (TMB);

机译：乳头肾细胞癌（PRCC）;强大的风险模型;加权基因共同表达网络分析（WGCNA）;免疫浸润;肿瘤突变负担（TMB）;

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1. Identification of a Robust Five-Gene Risk Model in Prostate Cancer: A Robust Likelihood-Based Survival Analysis [J] . Yutao Wang, Jiaxing Lin, Kexin Yan, International Journal of Genomics . 2020,第1期

机译：鉴定前列腺癌中强大的五基因风险模型：稳健的基于似的生存分析
2. Construction autophagy-related prognostic risk signature combined with clinicopathological validation analysis for survival prediction of kidney renal papillary cell carcinoma patients [J] . Fei Hongjun, Chen Songchang, Xu Chenming BMC Cancer . 2021,第1期

机译：施工自噬相关预后风险特征与肾肾乳头细胞癌患者存活预测的临床病理验证分析
3. Clinical features and survival analysis of clear cell papillary renal cell carcinoma: A 10-year retrospective study from two institutions [J] . Wang Yiqiu, Ding Ying, Wang Jian, Oncology letters . 2018,第1aPta2期

机译：透明细胞乳头肾细胞癌的临床特征及生存分析：两个机构的10年次回顾性研究
4. Computational Pathology Analysis of TissueMicroarrays Predicts Survival of Renal Clear Cell Carcinoma Patients [C] . Thomas J. Fuchs, Peter J. Wild, Holger Moch, International Conference on Medical Image Computing and Computer-Assisted Intervention;MICCAI 2008 . 2008

机译：组织芯片的计算病理分析预测肾透明细胞癌患者的生存。
5. Understanding the Attributes of Papillary Renal Cell Carcinoma subtypes: Molecular Analysis, Biomarker Discovery and Implications to Therapy [D] . Saleeb, Rola Magdy Yousef. 2018

机译：了解乳头状肾细胞癌亚型的属性：分子分析，生物标志物发现及其对治疗的意义
6. Construction autophagy-related prognostic risk signature combined with clinicopathological validation analysis for survival prediction of kidney renal papillary cell carcinoma patients [O] . Hongjun Fei, Songchang Chen, Chenming Xu 2021

机译：施工自噬相关预后风险鉴定与肾肾乳头状细胞癌患者生存预测临床病理验证分析
7. Identification of a Two-m6A RNA Methylation Regulator Risk Signature as an Independent Prognostic Biomarker in Papillary Renal Cell Carcinoma by Bioinformatic Analysis [O] . Feilong Yang, Guojiang Zhao, Liyuan Ge, 2021

机译：通过生物信息分析鉴定双M6A RNA甲基化调节剂患者作为乳头状肾细胞癌的独立预后生物标志物

Three-gene risk model in papillary renal cell carcinoma: a robust likelihood-based survival analysis

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