{"title":"Tissue Based Biomarkers for Metastatic Clear Cell Renal Carcinoma: A Systematic Review","authors":"A. Schmidt, P. Bain, B. McGregor","doi":"10.3233/kca-200103","DOIUrl":null,"url":null,"abstract":"Background: Treatments for metastatic clear cell renal carcinoma (mccRCC) are evolving with multiple targeted and immune therapy drugs currently approved by regulatory agencies as single agents or in combination. Developing predictive biomarkers to determine which patients derive a differential benefit from a particular treatment is an area of ongoing clinical research. Objective: We sought to systematically evaluate the role of tumour tissue-based biomarkers that assist in selection of therapy for mccRCC. Methods: Literature addressing the role of biomarkers in mccRCC was identified through a search of the electronic databases MEDLINE, Embase, and the Web of Science and a hand search of major conference abstracts (from Jan 2010 –Sep 2020). Abstracts were screened to identify papers meriting full-text review. Studies with a comparison arm were included to assess biomarker relevance. A narrative review of studies was performed. Results: The literature search yielded 6784 potentially relevant articles. 133 articles met criteria for full text review, and 10 articles were identified by scanning bibliographies of relevant studies. A total of 33 articles (involving 13 studies) were selected for data extraction and subsequent review. Conclusions: Predictive biomarkers for immediate use in the clinic are lacking, and embedding their evaluation and validation in future clinical trials is needed to refine practice and patient selection.","PeriodicalId":17823,"journal":{"name":"Kidney Cancer","volume":"1 1","pages":""},"PeriodicalIF":1.1000,"publicationDate":"2020-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3233/kca-200103","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Kidney Cancer","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/kca-200103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 1
Abstract
Background: Treatments for metastatic clear cell renal carcinoma (mccRCC) are evolving with multiple targeted and immune therapy drugs currently approved by regulatory agencies as single agents or in combination. Developing predictive biomarkers to determine which patients derive a differential benefit from a particular treatment is an area of ongoing clinical research. Objective: We sought to systematically evaluate the role of tumour tissue-based biomarkers that assist in selection of therapy for mccRCC. Methods: Literature addressing the role of biomarkers in mccRCC was identified through a search of the electronic databases MEDLINE, Embase, and the Web of Science and a hand search of major conference abstracts (from Jan 2010 –Sep 2020). Abstracts were screened to identify papers meriting full-text review. Studies with a comparison arm were included to assess biomarker relevance. A narrative review of studies was performed. Results: The literature search yielded 6784 potentially relevant articles. 133 articles met criteria for full text review, and 10 articles were identified by scanning bibliographies of relevant studies. A total of 33 articles (involving 13 studies) were selected for data extraction and subsequent review. Conclusions: Predictive biomarkers for immediate use in the clinic are lacking, and embedding their evaluation and validation in future clinical trials is needed to refine practice and patient selection.
背景:转移性透明细胞肾癌(mccrc)的治疗方法正在发展,目前监管机构批准了多种靶向和免疫治疗药物作为单一药物或联合药物。开发预测性生物标志物以确定哪些患者从特定治疗中获得不同的益处是正在进行的临床研究领域。目的:我们试图系统地评估基于肿瘤组织的生物标志物在选择mccrc治疗中的作用。方法:通过检索电子数据库MEDLINE、Embase和Web of Science,以及手工检索主要会议摘要(2010年1月至2020年9月),确定了生物标志物在mccrc中作用的文献。对摘要进行筛选,以确定值得全文审查的论文。纳入了比较组的研究,以评估生物标志物的相关性。对研究进行了叙述性回顾。结果:文献检索产生6784篇潜在相关文章。133篇文章符合全文综述标准,10篇文章通过扫描相关研究的文献目录进行了鉴定。共选择33篇文章(涉及13项研究)进行数据提取和后续审查。结论:缺乏可立即在临床上使用的预测性生物标志物,需要将其评估和验证纳入未来的临床试验中,以完善实践和患者选择。