Investigator

Thomas Bradley

Research Associate · Cancer Research UK Cambridge Institute

TBThomas Bradley
Papers(1)
The Genomic Landscape…
Collaborators(9)
Zhao ChengFlorian MarkowetzGeoff MacintyreHasan B MirzaIain A. McNeishJames D. BrentonLena Morrill GavarróMichelle LockleyPhilip Smith
Institutions(6)
University Of Cambrid…University of Cambrid…Centro Nacional de In…Ovarian Cancer ActionUniversity College Ho…University of Cambrid…

Papers

The Genomic Landscape of Early-Stage Ovarian High-Grade Serous Carcinoma

Abstract Purpose: Ovarian high-grade serous carcinoma (HGSC) is usually diagnosed at late stage. We investigated whether late-stage HGSC has unique genomic characteristics consistent with acquisition of evolutionary advantage compared with early-stage tumors. Experimental Design: We performed targeted next-generation sequencing and shallow whole-genome sequencing (sWGS) on pretreatment samples from 43 patients with FIGO stage I–IIA HGSC to investigate somatic mutations and copy-number (CN) alterations (SCNA). We compared results to pretreatment samples from 52 patients with stage IIIC/IV HGSC from the BriTROC-1 study. Results: Age of diagnosis did not differ between early-stage and late-stage patients (median 61.3 years vs. 62.3 years, respectively). TP53 mutations were near-universal in both cohorts (89% early-stage, 100% late-stage), and there were no significant differences in the rates of other somatic mutations, including BRCA1 and BRCA2. We also did not observe cohort-specific focal SCNA that could explain biological behavior. However, ploidy was higher in late-stage (median, 3.0) than early-stage (median, 1.9) samples. CN signature exposures were significantly different between cohorts, with greater relative signature 3 exposure in early-stage and greater signature 4 in late-stage. Unsupervised clustering based on CN signatures identified three clusters that were prognostic. Conclusions: Early-stage and late-stage HGSCs have highly similar patterns of mutation and focal SCNA. However, CN signature analysis showed that late-stage disease has distinct signature exposures consistent with whole-genome duplication. Further analyses will be required to ascertain whether these differences reflect genuine biological differences between early-stage and late-stage or simply time-related markers of evolutionary fitness. See related commentary by Yang et al., p. 2730

8Works
1Papers
9Collaborators

Positions

2022–

Research Associate

Cancer Research UK Cambridge Institute

2020–

Bioinformatician

Cancer Research UK Cambridge Institute

Education

2014

Computational Biology - MRes

University of York · Department of Biology

2013

Natural Sciences - BA

University of Cambridge

Country

GB

Keywords
microRNA target predictionCancer genomicsTranscriptomics