Literature DB >> 25837857

Predictive molecular biomarkers to guide clinical decision making in kidney cancer: current progress and future challenges.

Jason Yongsheng Chan1, Yukti Choudhury, Min-Han Tan.   

Abstract

Although the past decade has seen a surfeit of new targeted therapies for renal cell carcinoma (RCC), no predictive molecular biomarker is currently used in routine clinical practice to guide personalized therapy as a companion diagnostic. Many putative biomarkers have been suggested, but none have undergone rigorous validation. There have been considerable advances in the biological understanding of RCC in recent years, with the development of accompanying molecular diagnostics that with additional validation, may be helpful for routine clinical decision making. In this review, we summarize the current understanding of predictive biomarkers in RCC management and also highlight upcoming developments of interest in biomarker research for personalizing RCC diagnostics and therapeutics.

Entities:  

Keywords:  angiogenesis; biomarker; cytokine; immunotherapy; renal cell carcinoma

Mesh:

Substances:

Year:  2015        PMID: 25837857     DOI: 10.1586/14737159.2015.1032261

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  8 in total

1.  Toward a new taxonomy of obstetrical disease: improved performance of maternal blood biomarkers for the great obstetrical syndromes when classified according to placental pathology.

Authors:  Roberto Romero; Eunjung Jung; Tinnakorn Chaiworapongsa; Offer Erez; Dereje W Gudicha; Yeon Mee Kim; Jung-Sun Kim; Bomi Kim; Juan Pedro Kusanovic; Francesca Gotsch; Andreea B Taran; Bo Hyun Yoon; Sonia S Hassan; Chaur-Dong Hsu; Piya Chaemsaithong; Nardhy Gomez-Lopez; Lami Yeo; Chong Jai Kim; Adi L Tarca
Journal:  Am J Obstet Gynecol       Date:  2022-09-03       Impact factor: 10.693

2.  Microphysiological model of renal cell carcinoma to inform anti-angiogenic therapy.

Authors:  María Virumbrales-Muñoz; Jose M Ayuso; Jack R Loken; Kathryn M Denecke; Shujah Rehman; Melissa C Skala; E Jason Abel; David J Beebe
Journal:  Biomaterials       Date:  2022-03-11       Impact factor: 15.304

3.  Identifying biomarkers of papillary renal cell carcinoma associated with pathological stage by weighted gene co-expression network analysis.

Authors:  Zhongshi He; Min Sun; Yuan Ke; Rongjie Lin; Youde Xiao; Shuliang Zhou; Hong Zhao; Yan Wang; Fuxiang Zhou; Yunfeng Zhou
Journal:  Oncotarget       Date:  2017-04-25

4.  Novel lincRNA SLINKY is a prognostic biomarker in kidney cancer.

Authors:  Xue Gong; Zurab Siprashvili; Okyaz Eminaga; Zhewei Shen; Yusuke Sato; Haruki Kume; Yukio Homma; Seishi Ogawa; Paul A Khavari; Jonathan R Pollack; James D Brooks
Journal:  Oncotarget       Date:  2017-03-21

Review 5.  New Insights into the Interplay between Non-Coding RNAs and RNA-Binding Protein HnRNPK in Regulating Cellular Functions.

Authors:  Yongjie Xu; Wei Wu; Qiu Han; Yaling Wang; Cencen Li; Pengpeng Zhang; Haixia Xu
Journal:  Cells       Date:  2019-01-17       Impact factor: 6.600

6.  Co-expression network analysis identified six hub genes in association with progression and prognosis in human clear cell renal cell carcinoma (ccRCC).

Authors:  Lushun Yuan; Liang Chen; Kaiyu Qian; Guofeng Qian; Chin-Lee Wu; Xinghuan Wang; Yu Xiao
Journal:  Genom Data       Date:  2017-11-04

7.  miR-9-5p in Nephrectomy Specimens is a Potential Predictor of Primary Resistance to First-Line Treatment with Tyrosine Kinase Inhibitors in Patients with Metastatic Renal Cell Carcinoma.

Authors:  Bernhard Ralla; Jonas Busch; Anne Flörcken; Jörg Westermann; Zhongwei Zhao; Ergin Kilic; Sabine Weickmann; Monika Jung; Annika Fendler; Klaus Jung
Journal:  Cancers (Basel)       Date:  2018-09-10       Impact factor: 6.639

8.  Correlating Transcriptional Networks to Papillary Renal Cell Carcinoma Survival: A Large-Scale Coexpression Analysis and Clinical Validation.

Authors:  Xingliang Feng; Meng Zhang; Jialin Meng; Yongqiang Wang; Yi Liu; Chaozhao Liang; Song Fan
Journal:  Oncol Res       Date:  2020-01-16       Impact factor: 5.574

  8 in total

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