Literature DB >> 28723536

Correlation Between Molecular Subclassifications of Clear Cell Renal Cell Carcinoma and Targeted Therapy Response.

Thai H Ho1, Toni K Choueiri2, Kai Wang3, Jose A Karam4, Zachary Chalmers3, Garrett Frampton3, Julia A Elvin3, Adrienne Johnson3, Xueli Liu5, Yulan Lin5, Richard W Joseph6, Melissa L Stanton7, Vincent A Miller3, Philip J Stephens3, Jeffrey S Ross8, Siraj M Ali3, Sumanta K Pal9.   

Abstract

BACKGROUND: Vascular endothelial growth factor (VEGF) and mammalian target of rapamycin (mTOR)-directed therapies are the standard of care in metastatic clear cell renal cell carcinoma (mccRCC) but are not used based on molecular subclassifications of ccRCC.
OBJECTIVE: To determine if an association exists between genomic alterations (GAs) detected by comprehensive genomic profiling (CGP) in the course of clinical care and the response to anti-VEGF receptor (VEGFR) and anti-MTOR pathway targeted therapies in a cohort of patients with treated mccRCC. DESIGN, SETTING, AND PARTICIPANTS: CGP, using a Clinical Laboratory Improvement Amendments-certified platform, was performed on 31 formalin-fixed, paraffin-embedded tissue specimens (84% from cytoreductive nephrectomies) obtained from patients with metastatic renal cell carcinoma who had received VEGFR and/or mTOR inhibitors. Duration of treatment (DOT) and extent and duration of clinical response were obtained from review of medical records. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: All classes of GAs-base substitutions, short insertions, deletions, gene fusions, rearrangements, and copy number-were assessed via hybrid capture-based CGP. Descriptive statistics were used to determine the frequency of GAs in groups segregated by the DOT with VEGF-directed agents. RESULTS AND LIMITATIONS: The most common GAs detected in this series were in VHL (70%), PBRM1 (48%), SETD2 (32%), TSC1 (29%), MLL (19%), TERT (16%), ARID1B (16%), and KDM5C (16%). Across 61 administrations of VEGF-directed therapy in 27 patients, exceptional responses (DOT >21 mo) were more frequent among patients with GAs in KDM5C, PBRM1, and VHL. Conversely, these patients also featured a lower frequency of GA associated with response to mTOR-directed therapy, such as TSC1.
CONCLUSIONS: Molecular subclassifications may affect response to VEGF-directed therapy. The predictive and prognostic nature of these molecular subclassifications in the metastatic setting should be explored in an extended series. PATIENT
SUMMARY: Comprehensive genomic profiling in the course of clinical care in the community oncology setting can delineate subgroups of patients with advanced kidney cancer who stand to benefit more from specific molecular-targeted agents.
Copyright © 2015 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  BAP1; Comprehensive genomic profiling; MTOR; PBRM1; Renal cell carcinoma; SETD2

Year:  2015        PMID: 28723536     DOI: 10.1016/j.euf.2015.11.007

Source DB:  PubMed          Journal:  Eur Urol Focus        ISSN: 2405-4569


  19 in total

1.  Genomic alterations as predictors of survival among patients within a combined cohort with clear cell renal cell carcinoma undergoing cytoreductive nephrectomy.

Authors:  Daniel M Tennenbaum; Brandon J Manley; Emily Zabor; Maria F Becerra; Maria I Carlo; Jozefina Casuscelli; Almedina Redzematovic; Nabeela Khan; Maria E Arcila; Martin H Voss; Darren R Feldman; Robert J Motzer; Nicole E Benfante; Jonathan A Coleman; Paul Russo; James J Hsieh; Abraham Ari Hakimi
Journal:  Urol Oncol       Date:  2017-04-10       Impact factor: 3.498

2.  Loss of SETD2 Induces a Metabolic Switch in Renal Cell Carcinoma Cell Lines toward Enhanced Oxidative Phosphorylation.

Authors:  Jingping Liu; Paul D Hanavan; Katon Kras; Yvette W Ruiz; Erik P Castle; Douglas F Lake; Xianfeng Chen; Daniel O'Brien; Huijun Luo; Keith D Robertson; Haiwei Gu; Thai H Ho
Journal:  J Proteome Res       Date:  2018-11-27       Impact factor: 4.466

Review 3.  Renal cell carcinoma.

Authors:  James J Hsieh; Mark P Purdue; Sabina Signoretti; Charles Swanton; Laurence Albiges; Manuela Schmidinger; Daniel Y Heng; James Larkin; Vincenzo Ficarra
Journal:  Nat Rev Dis Primers       Date:  2017-03-09       Impact factor: 52.329

Review 4.  The Role of Circulating Tumor DNA in Renal Cell Carcinoma.

Authors:  Paulo G Bergerot; Andrew W Hahn; Cristiane Decat Bergerot; Jeremy Jones; Sumanta Kumar Pal
Journal:  Curr Treat Options Oncol       Date:  2018-02-20

Review 5.  Precision Medicine: An Optimal Approach to Patient Care in Renal Cell Carcinoma.

Authors:  Revati Sharma; George Kannourakis; Prashanth Prithviraj; Nuzhat Ahmed
Journal:  Front Med (Lausanne)       Date:  2022-06-14

6.  PTEN loss confers sensitivity to rapalogs in clear cell renal cell carcinoma.

Authors:  Xiao-Lian Liu; Gui-Ming Zhang; Si-Si Huang; Wen-Hui Shi; Lin-Xuan Ye; Zhong-Lu Ren; Jia-Jie Zhang; Shu-Wen Liu; Le Yu; Yi-Lei Li
Journal:  Acta Pharmacol Sin       Date:  2022-02-14       Impact factor: 7.169

7.  Genomic Biomarkers of a Randomized Trial Comparing First-line Everolimus and Sunitinib in Patients with Metastatic Renal Cell Carcinoma.

Authors:  James J Hsieh; David Chen; Patricia I Wang; Mahtab Marker; Almedina Redzematovic; Ying-Bei Chen; S Duygu Selcuklu; Nils Weinhold; Nancy Bouvier; Kety H Huberman; Umesh Bhanot; Michael S Chevinsky; Parul Patel; Patrizia Pinciroli; Helen H Won; Daoqi You; Agnes Viale; William Lee; A Ari Hakimi; Michael F Berger; Nicholas D Socci; Emily H Cheng; Jennifer Knox; Martin H Voss; Maurizio Voi; Robert J Motzer
Journal:  Eur Urol       Date:  2016-10-15       Impact factor: 20.096

Review 8.  Overcome tumor heterogeneity-imposed therapeutic barriers through convergent genomic biomarker discovery: A braided cancer river model of kidney cancer.

Authors:  James J Hsieh; Brandon J Manley; Nabeela Khan; JianJiong Gao; Maria I Carlo; Emily H Cheng
Journal:  Semin Cell Dev Biol       Date:  2016-09-08       Impact factor: 7.727

9.  HIF pathway and c-Myc as biomarkers for response to sunitinib in metastatic clear-cell renal cell carcinoma.

Authors:  P Maroto; E Esteban; E Fernández Parra; M J Mendez-Vidal; M Domenech; B Pérez-Valderrama; V Calderero; J L Pérez-Gracia; E Grande; F Algaba
Journal:  Onco Targets Ther       Date:  2017-09-20       Impact factor: 4.147

10.  The DEAD/DEAH Box Helicase, DDX11, Is Essential for the Survival of Advanced Clear Cell Renal Cell Carcinoma and Is a Determinant of PARP Inhibitor Sensitivity.

Authors:  Jee Soo Park; Myung Eun Lee; Won Sik Jang; Koon Ho Rha; Seung Hwan Lee; Jongsoo Lee; Won Sik Ham
Journal:  Cancers (Basel)       Date:  2021-05-24       Impact factor: 6.639

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