Investigator

Pamela S. Ohashi

Cross appointment · University of Toronto, Medicine

About

PSOPamela S. Ohashi
Papers(5)
Combined Transcriptom…Characterization of i…Generation of an Inhi…Proteogenomics Uncove…IL6 Induces an IL22+ …
Collaborators(10)
Marcus Q. BernardiniDouglas G MillarDouglas C. ChungSarah Q CromeSawako ElstonSébastien LemieuxScott V. BratmanSorana MorrissyStephanie LheureuxTrevor Pugh
Institutions(5)
Princess Margaret Can…University Of TorontoUniversity Health Net…Universit De MontralUniversity Of Calgary

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.

Proteogenomics Uncovers a Vast Repertoire of Shared Tumor-Specific Antigens in Ovarian Cancer

Abstract High-grade serous ovarian cancer (HGSC), the principal cause of death from gynecologic malignancies in the world, has not significantly benefited from advances in cancer immunotherapy. Although HGSC infiltration by lymphocytes correlates with superior survival, the nature of antigens that can elicit anti-HGSC immune responses is unknown. The goal of this study was to establish the global landscape of HGSC tumor-specific antigens (TSA) using a mass spectrometry pipeline that interrogated all reading frames of all genomic regions. In 23 HGSC tumors, we identified 103 TSAs. Classic TSA discovery approaches focusing only on mutated exonic sequences would have uncovered only three of these TSAs. Other mutated TSAs resulted from out-of-frame exonic translation (n = 2) or from noncoding sequences (n = 7). One group of TSAs (n = 91) derived from aberrantly expressed unmutated genomic sequences, which were not expressed in normal tissues. These aberrantly expressed TSAs (aeTSA) originated primarily from nonexonic sequences, in particular intronic (29%) and intergenic (22%) sequences. Their expression was regulated at the transcriptional level by variations in gene copy number and DNA methylation. Although mutated TSAs were unique to individual tumors, aeTSAs were shared by a large proportion of HGSCs. Taking into account the frequency of aeTSA expression and HLA allele frequencies, we calculated that, in Caucasians, the median number of aeTSAs per tumor would be five. We conclude that, in view of their number and the fact that they are shared by many tumors, aeTSAs may be the most attractive targets for HGSC immunotherapy.

267Works
5Papers
31Collaborators
1Trials
Biomarkers, TumorOvarian NeoplasmsTumor MicroenvironmentNeoplasmsCirculating Tumor DNACell Line, TumorPrognosis

Positions

2013–

Cross appointment

University of Toronto · Medicine

2009–

Director

Ontario Cancer Institute · Immune Therapy Program

2007–

Co-Director

Campbell Family Institute for Breast Cancer Research

2004–

Senior Scientist

Campbell Family Institute for Breast Cancer Research

2001–

Full Professor

University of Toronto

1993–

Cross Appointment

University of Toronto · Immunology

1992–

Senior Scientist

Ontario Cancer Institute

1996–

Associate Professor

University of Toronto

1992–

Assistant Professor

University of Toronto · Medical Biophysics

Education

1991

Postdoctoral fellow

University of Zurich · Immunology Prof. R.M. Zinkernagel, Prof. H. Hengartner

1988

Ph.D.

University of Toronto · Immunology - Prof. T. Mak lab

1982

Honours BSc with Distinction

York University