Literature DB >> 26125509

How should clinicians address intratumour heterogeneity in clear cell renal cell carcinoma?

Aspasia Soultati1, Mark Stares, Charles Swanton, James Larkin, Samra Turajlic.   

Abstract

PURPOSE OF REVIEW: Despite the availability of multiple targeted therapies, the 5-year survival rate of patients with metastatic clear cell renal cell carcinoma (ccRCC) rarely exceeds 10%. Recent insights into the mutational landscape and evolutionary dynamics of ccRCC have offered up a plausible explanation for these outcomes. The purpose of this review is to link the research findings to potential changes in clinical practice. RECENT
FINDINGS: Intratumour heterogeneity (ITH) dominates the evolutionary landscape in ccRCC at the genetic, transcriptomic and proteomic level. Spatial and temporal separation of tumour subclones within the primary tumour as well as between primary and metastatic sites has been demonstrated at single nucleotide resolution. In the cases analysed to date, approximately two-thirds of somatic mutations are not shared between multiple biopsies from the same primary tumour. Very few of the key disease-driving events are shared across all primary tumour regions (with the exception of VHL and loss of chromosome 3p), whereas the majority are restricted to one or more tumour regions (TP53, SETD2, BAP1, PTEN, mTOR, PIK3CA and KDM5C).
SUMMARY: ITH must be considered in the management of ccRCC with respect to diagnostic procedures, prognostic and predictive biomarkers and drug development.

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Year:  2015        PMID: 26125509     DOI: 10.1097/MOU.0000000000000204

Source DB:  PubMed          Journal:  Curr Opin Urol        ISSN: 0963-0643            Impact factor:   2.309


  13 in total

1.  Association of Abl interactor 2, ABI2, with platelet/lymphocyte ratio in patients with renal cell carcinoma: A pilot study.

Authors:  Sercan Ergun; Sezgin Gunes; Recep Buyukalpelli; Oguz Aydin
Journal:  Int J Exp Pathol       Date:  2020-06-04       Impact factor: 1.925

2.  Multisite tumor sampling enhances the detection of intratumor heterogeneity at all different temporal stages of tumor evolution.

Authors:  Asier Erramuzpe; Jesús M Cortés; José I López
Journal:  Virchows Arch       Date:  2017-08-25       Impact factor: 4.064

3.  GRIM-19 deficiency promotes clear cell renal cell carcinoma progression and is associated with high TNM stage and Fuhrman grade.

Authors:  Naimeng Yan; Xue Feng; Sixiong Jiang; Weibin Sun; Ming-Zhong Sun; Shuqing Liu
Journal:  Oncol Lett       Date:  2020-03-31       Impact factor: 2.967

Review 4.  Moving beyond vascular endothelial growth factor-targeted therapy in renal cell cancer: latest evidence and therapeutic implications.

Authors:  Che-Kai Tsao; Bobby Liaw; Catherine He; Matthew D Galsky; John Sfakianos; William K Oh
Journal:  Ther Adv Med Oncol       Date:  2017-02-14       Impact factor: 8.168

Review 5.  Pathological Bases and Clinical Impact of Intratumor Heterogeneity in Clear Cell Renal Cell Carcinoma.

Authors:  José I López; Javier C Angulo
Journal:  Curr Urol Rep       Date:  2018-01-27       Impact factor: 3.092

6.  Multi-site tumor sampling (MSTS) improves the performance of histological detection of intratumor heterogeneity in clear cell renal cell carcinoma (CCRCC).

Authors:  Rosa Guarch; Jesús M Cortés; Charles H Lawrie; José I López
Journal:  F1000Res       Date:  2016-08-17

Review 7.  Genomics and clinical correlates of renal cell carcinoma.

Authors:  Thomas J Mitchell; Sabrina H Rossi; Tobias Klatte; Grant D Stewart
Journal:  World J Urol       Date:  2018-08-11       Impact factor: 4.226

Review 8.  The Impact of Tumor Eco-Evolution in Renal Cell Carcinoma Sampling.

Authors:  Estíbaliz López-Fernández; José I López
Journal:  Cancers (Basel)       Date:  2018-12-04       Impact factor: 6.639

9.  Glutamate transporter SLC1A1 is associated with clear cell renal cell carcinoma

Authors:  Sercan Ergün; Sezgin Güneş; Recep Büyükalpelli; Oğuz Aydın
Journal:  Turk J Med Sci       Date:  2019-04-18       Impact factor: 0.973

10.  A multi-site cutting device implements efficiently the divide-and-conquer strategy in tumor sampling.

Authors:  Jose I Lopez; Jesus M Cortes
Journal:  F1000Res       Date:  2016-07-06
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