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ABSTRACT: Background
RECORD-3 assessed non-inferiority of progression-free survival (PFS) with everolimus vs sunitinib in previously untreated patients with metastatic renal cell carcinoma. Baseline plasma sample collection and randomised design enabled correlation of circulating biomarkers with efficacy.Methods
Samples were analysed for 121 cancer-related biomarkers. Analyses of biomarkers categorised patients as high or low (vs median) to assess association with first-line PFS (PFS1L) for each treatment arm. A composite biomarker score (CBS) incorporated biomarkers potentially predictive of PFS1L with everolimus.Results
Plasma samples from 442 of the 471 randomised patients were analysed. Biomarkers were associated with PFS1L for everolimus alone (29), sunitinib alone (9) or both (12). Everolimus-specific biomarkers (CSF1, ICAM1, IL-18BP, KIM1, TNFRII) with hazard ratio ? 1.8 were integrated into a CBS (range 0-5). For CBS low (0-3, n = 291) vs high (4-5, n = 151), PFS1L differed significantly for everolimus but not for sunitinib. There was no significant difference in PFS1L between everolimus and sunitinib in the high CBS patient cohort.Conclusions
Baseline levels of multiple soluble biomarkers correlated with benefit from everolimus and/or sunitinib, independent of clinical risk factors. A similar PFS1L was observed for both treatments among patients with high CBS score.
SUBMITTER: Voss MH
PROVIDER: S-EPMC4800293 | biostudies-literature | 2016 Mar
REPOSITORIES: biostudies-literature
Voss Martin H MH Chen David D Marker Mahtab M Hakimi A Ari AA Lee Chung-Han CH Hsieh James J JJ Knox Jennifer J JJ Voi Maurizio M Motzer Robert J RJ
British journal of cancer 20160223 6
<h4>Background</h4>RECORD-3 assessed non-inferiority of progression-free survival (PFS) with everolimus vs sunitinib in previously untreated patients with metastatic renal cell carcinoma. Baseline plasma sample collection and randomised design enabled correlation of circulating biomarkers with efficacy.<h4>Methods</h4>Samples were analysed for 121 cancer-related biomarkers. Analyses of biomarkers categorised patients as high or low (vs median) to assess association with first-line PFS (PFS1L) fo ...[more]