Investigator

Ana Vivancos

Principal Investigator · Vall d´Hebron Institut d´Oncologia, Cancer Genomics Core Lab

AVAna Vivancos
Papers(1)
Combined Transcriptom…
Collaborators(10)
Elena GarraldaMaria Vila-CasadesúsMing HanOmar SaavedraPamela S. OhashiPhilippe L. BedardSawako ElstonScott V. BratmanStephanie LheureuxTrevor Pugh
Institutions(2)
Vall Dhebron Institut…University Health Net…

Papers

Combined Transcriptome and Circulating Tumor DNA Longitudinal Biomarker Analysis Associates With Clinical Outcomes in Advanced Solid Tumors Treated With Pembrolizumab

PURPOSE Immune gene expression signatures are emerging as potential biomarkers for immunotherapy (IO). VIGex is a 12-gene expression classifier developed in both nCounter (Nanostring) and RNA sequencing (RNA-seq) assays and analytically validated across laboratories. VIGex classifies tumor samples into hot, intermediate-cold (I-Cold), and cold subgroups. VIGex-Hot has been associated with better IO treatment outcomes. Here, we investigated the performance of VIGex and other IO biomarkers in an independent data set of patients treated with pembrolizumab in the INSPIRE phase II clinical trial (ClinicalTrials.gov identifier: NCT02644369 ). MATERIALS AND METHODS Patients with advanced solid tumors were treated with pembrolizumab 200 mg IV once every 3 weeks. Tumor RNA-seq data from baseline tumor samples were classified by the VIGex algorithm. Circulating tumor DNA (ctDNA) was measured at baseline and start of cycle 3 using the bespoke Signatera assay. VIGex-Hot was compared with VIGex I-Cold + Cold and four groups were defined on the basis of the combination of VIGex subgroups and the change in ctDNA at cycle 3 from baseline (ΔctDNA). RESULTS Seventy-six patients were enrolled, including 16 ovarian, 12 breast, 12 head and neck cancers, 10 melanoma, and 26 other tumor types. Objective response rate was 24% in VIGex-Hot and 10% in I-Cold/Cold. VIGex-Hot subgroup was associated with higher overall survival (OS) and progression-free survival (PFS) when included in a multivariable model adjusted for tumor type, tumor mutation burden, and PD-L1 immunohistochemistry. The addition of ΔctDNA improved the predictive performance of the baseline VIGex classification for both OS and PFS. CONCLUSION Our data indicate that the addition of ΔctDNA to baseline VIGex may refine prediction for IO.

162Works
1Papers
14Collaborators
1Trials
Biomarkers, TumorBreast NeoplasmsPrognosisCirculating Tumor DNACholangiocarcinomaBile Duct NeoplasmsNeoplasm MetastasisStomach Neoplasms

Positions

2010–

Principal Investigator

Vall d´Hebron Institut d´Oncologia · Cancer Genomics Core Lab

2008–

Senior technician

Centre de Regulació Genòmica · Ultrasequencing Unit

2007–

Post-doctoral Researcher

Institut de Recerca Biomèdica · Colorectal Cancer Lab

Keywords
cancergenomicsbiomarkers