Supplementary Tables S3-S13 from Application of Genomic Sequencing to Refine Patient Stratification for Adjuvant Therapy in Renal Cell Carcinoma

Vasudev, Naveen S.; Scelo, Ghislaine; Glennon, Kate I.; Wilson, Michelle; Letourneau, Louis; Eveleigh, Robert; Nourbehesht, Nazanin; Arseneault, Madeleine; Paccard, Antoine; Egevad, Lars; Viksna, Juris; Celms, Edgars; Jackson, Sharon M.; Abedi-Ardekani, Behnoush; Warren, Anne Y.; Selby, Peter J.; Trainor, Sebastian; Kimuli, Michael; Cartledge, Jon; Soomro, Naeem; Adeyoju, Adebanji; Patel, Poulam M.; Wozniak, Magdalena B.; Holcatova, Ivana; Brisuda, Antonin; Janout, Vladimir; Chanudet, Estelle; Zaridze, David; Moukeria, Anush; Shangina, Oxana; Foretova, Lenka; Navratilova, Marie; Mates, Dana; Jinga, Viorel; Bogdanovic, Ljiljana; Kovacevic, Bozidar; Cambon-Thomsen, Anne; Bourque, Guillaume; Brazma, Alvis; Tost, Jörg; Brennan, Paul; Lathrop, Mark; Riazalhosseini, Yasser; Banks, Rosamonde E.

doi:10.1158/1078-0432.22490785.v1

ccr-22-1936_supplementary_tables_s3-s13_suppts3-ts13.docx (77.24 kB)

Supplementary Tables S3-S13 from Application of Genomic Sequencing to Refine Patient Stratification for Adjuvant Therapy in Renal Cell Carcinoma

journal contribution

posted on 2023-04-01, 00:27 authored by Naveen S. Vasudev, Ghislaine Scelo, Kate I. Glennon, Michelle Wilson, Louis Letourneau, Robert Eveleigh, Nazanin Nourbehesht, Madeleine Arseneault, Antoine Paccard, Lars Egevad, Juris Viksna, Edgars Celms, Sharon M. Jackson, Behnoush Abedi-Ardekani, Anne Y. Warren, Peter J. Selby, Sebastian Trainor, Michael Kimuli, Jon Cartledge, Naeem Soomro, Adebanji Adeyoju, Poulam M. Patel, Magdalena B. Wozniak, Ivana Holcatova, Antonin Brisuda, Vladimir Janout, Estelle Chanudet, David Zaridze, Anush Moukeria, Oxana Shangina, Lenka Foretova, Marie Navratilova, Dana Mates, Viorel Jinga, Ljiljana Bogdanovic, Bozidar Kovacevic, Anne Cambon-Thomsen, Guillaume Bourque, Alvis Brazma, Jörg Tost, Paul Brennan, Mark Lathrop, Yasser Riazalhosseini, Rosamonde E. Banks

Supplementary Tables S3-S13

History

ARTICLE ABSTRACT

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. 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. 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. 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.