Prognostic and predictive biomarkers for metastatic renal cell carcinoma

Logan G. Briggs, E. Cone, Richard J Lee, M. Blute
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引用次数: 2

Abstract

Several prognostic models incorporating serum biomarkers to estimate patient survival have been established for metastatic renal cell carcinoma. Interim advancements in biomarker research have highlighted much additional serum, gene mutation, genetic expression signatures, and histologic biomarkers that predict clinical outcomes and response to treatments. We, therefore, reviewed biomarkers associated with overall, cancer-specific, progressionfree, and disease-free survival, overall response, and time to treatment failure rate in adult populations with metastatic renal cell carcinoma. We reviewed human studies reporting associations between biomarkers and clinical outcomes. Data were abstracted via standardized form, then reported with hazard ratios and confidence intervals where appropriate, subdivided by biomarker type (serum, gene mutation, genetic expression, and histologic). We identified a range of newer biomarkers that have clinical associations with prognostic and predictive outcomes. Beyond biomarkers used in modern risk models, those consistently associated with prognosis included serum levels of CAIX, COP-NLR, CRP, s-TATI, and VEGF, gene mutations in BAP1, CDKN2A, CIMP/FH, and TERT, gene expression of ERV and NQO1, and histologic macrophage infiltration and expression of CAIX and PDL1. Biomarkers consistently associated with the response to targeted antiangiogenic therapy included serum CRP, mutations in MET, PBRM-1, BAP1, and the mTOR pathway, TERT promoter mutations, and expression of PTEN and angiogenic gene signatures. Gene expression of hERV, T-effector, and immunogenic signatures have been associated with improved response to immune checkpoint inhibition. Future models should incorporate wellstudied biomarkers to help clinicians predict outcomes and treatment responses for patients with metastatic renal cell carcinoma. Page 2 of Briggs et al. J Cancer Metastasis Treat 2021;7:46 https://dx.doi.org/10.20517/2394-4722.2021.84 13
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转移性肾细胞癌的预后和预测性生物标志物
几种结合血清生物标志物来估计转移性肾细胞癌患者生存的预后模型已经建立。生物标志物研究的中期进展突出了更多的血清、基因突变、基因表达特征和组织学生物标志物,这些生物标志物可以预测临床结果和对治疗的反应。因此,我们回顾了转移性肾细胞癌成人人群中与总体、癌症特异性、无进展和无病生存、总体反应和治疗失败率相关的生物标志物。我们回顾了报告生物标志物与临床结果之间关联的人类研究。通过标准化形式提取数据,然后在适当的情况下报告风险比和置信区间,并按生物标志物类型(血清、基因突变、基因表达和组织学)细分。我们确定了一系列与预后和预测结果有临床关联的新生物标志物。除了现代风险模型中使用的生物标志物外,与预后一致相关的生物标志物包括血清CAIX、cop1 - nlr、CRP、s-TATI和VEGF水平、BAP1、CDKN2A、CIMP/FH和TERT基因突变、ERV和NQO1基因表达、组织学巨噬细胞浸润和CAIX和PDL1表达。与靶向抗血管生成治疗反应一致的生物标志物包括血清CRP、MET、PBRM-1、BAP1和mTOR通路的突变、TERT启动子突变、PTEN和血管生成基因特征的表达。hERV、t效应和免疫原性特征的基因表达与免疫检查点抑制反应的改善有关。未来的模型应纳入充分研究的生物标志物,以帮助临床医生预测转移性肾细胞癌患者的预后和治疗反应。Briggs等人的第二页。[J]肿瘤转移治疗2021;7:46 https://dx.doi.org/10.20517/2394-4722.2021.84
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来源期刊
CiteScore
3.20
自引率
5.30%
发文量
460
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