Evidence map›Paper›PMID 42620263›Full record

ArticleResearch square2026

Investigating the repurposing potential of immune checkpoint inhibition for cancer treatment using Mendelian randomisation.

Tessa Bate, Mei Dong, Yuxi Liu, Mathias Seviiri, M Catherine Brown, Joshua Atkins, Karl Smith-Byrne, Practical Consortium, Rayjean Hung, Matthew Law and 11 more

Abstract readPreprint
In one paragraph

Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Tessa BateUniversity of Bristol.ORCID 0009-0009-8034-2070
Mei DongDalla Lana School of Public Health, University of Toronto.
Yuxi LiuBrigham and Women's Hospital.ORCID 0000-0003-2484-151X
Mathias SeviiriQIMR Berghofer Medical Research Institute.
M Catherine BrownPrincess Margaret Cancer Centre, University Health Network.ORCID 0000-0003-0184-7732
Joshua AtkinsUniversity of Oxford.ORCID 0000-0003-0821-1112
Karl Smith-ByrneCancer Epidemiology Unit, University of Oxford.ORCID 0000-0002-1932-7463
Practical Consortium
Rayjean Hung
Matthew LawQIMR Berghofer.ORCID 0000-0002-4303-8821
Mark IlesUniversity of Leeds.ORCID 0000-0002-2603-6509
Hadis GhajariQIMR Berghofer.
Serigne LoMelanoma Institute Australia, University of Sydney.
Alexander GusevDana-Farber Cancer Institute.ORCID 0000-0002-7980-4620
Brett Vanderwerff
Sebastian Zoellner
Geoffrey LiuUniversity Health Network / Princess Margaret Cancer Centre.
Wei XuUniversity Health Network, Toronto.
Richard MartinUniversity of Bristol.ORCID 0000-0002-7992-7719
James YarmolinskyImperial College of London.
Philip HaycockUniversity of Bristol.

Funding

SWOG Foreign AccrualsU10CA037429 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI BLANKE, CHARLES D., MEYSKENS, FRANK L. · 1985 to 2014
$205.2M
Epidemiologic StudiesU19CA148065 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI AHSAN, HABIBUL, BRUGGE, JOAN SIEFERT · 2010 to 2014
$10.6M
Epidemiological and Clinical Translational Studies Post Genome-Wide AssociationU19CA148537 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI EASTON, DOUGLAS FREDERICK, EELES, ROSALIND · 2010 to 2014
$10.4M
Ovarian cancer GWAS discovery, expansion and replication (N2 - Project #1)U19CA148112 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI SELLERS, THOMAS A · 2010 to 2014
$10.2M
PCPT and SELECT cohorts: Core Infrastructure Support for Cancer Research UM1CA182883 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI TANGEN, CATHERINE M., THOMPSON, IAN M. · 2013 to 2017
$5.2M
A genome-wide association study for breast cancer in BRCA1 mutation carriersR01CA128978 · NCI · MAYO CLINIC ROCHESTER · PI COUCH, FERGUS JOSEPH · 2008 to 2012
$4.8M
Imputation-based approach to identify low frequency variants in prostate cancerU01CA188392 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SCHUMACHER, FREDRICK RAY · 2014 to 2016
$1.9M
NCI NIH HHS R01 CA128978NCI NIH HHS U01 CA188392NCI NIH HHS U10 CA037429NCI NIH HHS U19 CA148065NCI NIH HHS U19 CA148112NCI NIH HHS U19 CA148537NCI NIH HHS UM1 CA182883NHLBI NIH HHS HHSN268201200008CNHLBI NIH HHS HHSN268201200008I
6 · The paper itself

Abstract

Programmed cell death protein 1 (PD-1) and programmed death ligand-1 (PD-L1) are immune checkpoint proteins involved in tumour evasion of immune suppression. Inhibitors of these proteins are approved to treat cancer patients restricted by criteria such as site and immunologically 'hot' tumour features. To assess their repurposing potential to additional cancer patient populations, we used a Mendelian randomisation approach to investigate the effects of germline proxied plasma PD-1 or PD-L1 lowering on all-cause or cancer-specific mortality risk after diagnosis of cancers with (breast, colorectal, lung, melanoma) or without (ovarian, prostate) PD-1 and PD-L1 inhibitor approvals. Across the four studied cancers with current PD-1/L1 inhibitor approvals, hazard ratios (HRs) for mortality [95% confidence intervals] per standard deviation decrease in germline proxied plasma protein levels were PD-1:0.91 [0.84-0.98]; PD-L1:0.98 [0.92-1.05]. This suggests failure of the PD-L1 instrument to recapitulate known pharmaceutical effects of PD-L1 inhibition, potentially due to germline proxies not robustly reflecting tumour PD-L1 mechanisms. There was evidence to support PD-1 inhibitor repurposing for a novel indication, ovarian cancer treatment (HR = 0.88 [0.78-0.99]), and to broader colorectal (HR = 0.84 [0.71-1.00]) and early-stage lung (HR = 0.75 [0.61-0.93]) cancer populations than current approvals. Where possible, methodological considerations were addressed but findings should be interpreted with caution.

Identifiers

PMID42620263
PMCPMC13484440

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.