906PDPhase III trial of adjuvant sunitinib in patients with high-risk renal cell carcinoma: Comprehensive tumour genomic and transcriptomic analyses
Abstract Background In the S-TRAC trial, adjuvant sunitinib (SU) prolonged disease-free survival (DFS) versus placebo (PBO) in patients (pts) with loco-regional renal cell carcinoma (RCC) at high risk of recurrence after nephrectomy. We previously applied the 16-gene Recurrence Score and confirmed i...
Gespeichert in:
Veröffentlicht in: | Annals of oncology 2019-10, Vol.30 (Supplement_5) |
---|---|
Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Abstract
Background
In the S-TRAC trial, adjuvant sunitinib (SU) prolonged disease-free survival (DFS) versus placebo (PBO) in patients (pts) with loco-regional renal cell carcinoma (RCC) at high risk of recurrence after nephrectomy. We previously applied the 16-gene Recurrence Score and confirmed its prognostic value (Clin Cancer Res 2018;15:4407). Here, we report the results of retrospective exploratory genomic and transcriptomic analyses using nephrectomy biospecimens from the S-TRAC trial.
Methods
Formalin-fixed paraffin-embedded tumor tissue blocks from patients who provided informed consent were used for whole exome (WES) and whole transcriptome (RNAseq) sequencing (Personalis, Menlo Park, CA; Genome Med. 2015;7:71) to examine somatic mutations and analyze relevant gene expression signatures (GES) in relation to clinical outcome. GES analyses included published signatures [effector T-cell (Teff), angiogenesis (Angio), myeloid inflammation (Minf)] among others. Cox proportional analyses of DFS were performed for each genotype or signature in SU versus PBO groups and between genotypes or signatures within each treatment group. Estimates of related parameters were reported.
Results
In all, 171 pts (SU, n = 91; PBO, n = 80) were genotyped and 133 (SU, n = 72; PBO, n = 61) were included in the GES analyses. Differences in DFS were observed relative to wildtype when mutations in genes such as ARID1A, MTOR, or ROBO3 were present; presence or absence of mutation in BAP1, SETD2 or PBRM1, however, did not distinguish pts with respect to DFS. Low tumor mutational burden (TMB) was associated with longer DFS in PBO as compared to high TMB (hazard ratio (HR) 0.253; 95% CI: 0.119, 0.541), but not in SU. Low-Angio GES showed a modest association with shorter DFS vs high-Angio GES in PBO (HR 1.912; 95% CI: 0.829, 4.409) but did not differentiate DFS in SU. Pts with low-Minf GES in SU had longer DFS vs those with high-Minf GES (HR 0.304; 95% CI: 0.132, 0.702).
Conclusions
These findings define molecular features that differentiate SU-specific outcomes in adjuvant RCC and may inform personalized therapy strategies for pts at high risk of recurrence. Independent validation studies are needed to confirm these findings.
Clinical trial identification
NCT00375674.
Editorial acknowledgement
Vardit Dror and David Cope Engage Scientific Solutions, funded by Pfizer.
Legal entity responsible for the study
Pfizer.
Funding
Pfizer.
Disclosure
A. Ravaud: Advisory / Consultancy, Trav |
---|---|
ISSN: | 0923-7534 1569-8041 |
DOI: | 10.1093/annonc/mdz249.005 |