Toggle Main Menu Toggle Search

Open Access padlockePrints

Application of Genomic Sequencing to Refine Patient Stratification for Adjuvant Therapy in Renal Cell Carcinoma

Lookup NU author(s): Professor Naeem Soomro



This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


©2023 The Authors; Published by the American Association for Cancer Research.PURPOSE: Patients with resected localized clear-cell renal cell carcinoma (ccRCC) remain at variable risk of recurrence. Incorporation of biomarkers may refine risk prediction and inform adjuvant treatment decisions. We explored the role of tumor genomics in this setting, leveraging the largest cohort to date of localized ccRCC tissues subjected to targeted gene sequencing. EXPERIMENTAL DESIGN: The somatic mutation status of 12 genes was determined in 943 ccRCC cases from a multinational cohort of patients, and associations to outcomes were examined in a Discovery (n = 469) and Validation (n = 474) framework. RESULTS: Tumors containing a von-Hippel Lindau (VHL) mutation alone were associated with significantly improved outcomes in comparison with tumors containing a VHL plus additional mutations. Within the Discovery cohort, those with VHL+0, VHL+1, VHL+2, and VHL+≥3 tumors had disease-free survival (DFS) rates of 90.8%, 80.1%, 68.2%, and 50.7% respectively, at 5 years. This trend was replicated in the Validation cohort. Notably, these genomically defined groups were independent of tumor mutational burden. Amongst patients eligible for adjuvant therapy, those with a VHL+0 tumor (29%) had a 5-year DFS rate of 79.3% and could, therefore, potentially be spared further treatment. Conversely, patients with VHL+2 and VHL+≥3 tumors (32%) had equivalent DFS rates of 45.6% and 35.3%, respectively, and should be prioritized for adjuvant therapy. CONCLUSIONS: Genomic characterization of ccRCC identified biologically distinct groups of patients with divergent relapse rates. These groups account for the ∼80% of cases with VHL mutations and could be used to personalize adjuvant treatment discussions with patients as well as inform future adjuvant trial design.

Publication metadata

Author(s): Vasudev NS, Scelo G, Glennon KI, Wilson M, Letourneau L, Eveleigh R, Nourbehesht N, Arseneault M, Paccard A, Egevad L, Viksna J, Celms E, Jackson SM, Abedi-Ardekani B, Warren AY, Selby PJ, Trainor S, Kimuli M, Cartledge J, Soomro N, Adeyoju A, Patel PM, Wozniak MB, Holcatova I, Brisuda A, Janout V, Chanudet E, Zaridze D, Moukeria A, Shangina O, Foretova L, Navratilova M, Mates D, Jinga V, Bogdanovic L, Kovacevic B, Cambon-Thomsen A, Bourque G, Brazma A, Tost J, Brennan P, Lathrop M, Riazalhosseini Y, Banks RE

Publication type: Article

Publication status: Published

Journal: Clinical Cancer Research

Year: 2023

Volume: 29

Issue: 7

Pages: 1220-1231

Print publication date: 01/04/2023

Online publication date: 03/04/2023

Acceptance date: 10/01/2023

Date deposited: 28/04/2023

ISSN (print): 1078-0432

ISSN (electronic): 1557-3265

Publisher: American Association for Cancer Research


DOI: 10.1158/1078-0432.CCR-22-1936

PubMed id: 36815791


Altmetrics provided by Altmetric


Funder referenceFunder name