Author

Trevor A Graham

Institute of Cancer Research

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Cancer Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Organism:human· 1 Approach:mechanistic / dynamical model· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Adriana Martinez· 1 shared Alexander G Fletcher· 1 shared Andrew Dhawan· 1 shared Ann-Marie Baker· 1 shared Benny ChainiD· 1 shared Chirine Sakr· 1 shared Gayathri NageswaraniD· 1 shared Heather Grant· 1 shared

Activity by Year

2015-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperImmunology

Adriana Martinez

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Spatiotemporal profiling of T cell repertoires in Lynch syndrome reveals convergent immune responses through neoplastic progression

Penelope Edwards, Ottilie Swinyard, Tahel Ronel, Yanrong Jiang, Gayathri Nageswaran, Chirine Sakr, Suhana Yasmin, Heather Grant, Smith Eleanor, Konstantin Braeutigam, Sindhu Varughese, Pooja Datt, Adriana Martinez, Jennifer Fisher, Benny Chain, , Trevor A Graham

This study profiles T cell repertoires in Lynch syndrome patients to show convergent immune responses during neoplastic progression.

bioRxiv · Oct 12, 2026 · PreprintImmunology

A computational modelling approach for deriving biomarkers to predict cancer risk in premalignant disease

Andrew Dhawan, Trevor A Graham, Alexander G Fletcher

This study develops a computational model to evaluate biomarker strategies for predicting cancer risk in premalignant disease, finding that more biopsies and clonal diversity measurements improve prognostication.

bioRxiv · Nov 27, 2015Cancer Biology