Evidence map›Paper›PMID 40199857›Full record

ArticleBlood cancer journal2025

Mendelian randomization of immune cell phenotypes to discover potential drug targets for B-cell malignancy.

Sina A Beer, Molly Went, Charlie Mills, Codie Wood, Amit Sud, James M Allan, Richard Houlston, Martin F Kaiser

Abstract read
In one paragraph

Article in Blood cancer journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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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

8 authors.

Sina A BeerDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK. sina.beer@icr.ac.uk.ORCID http://orcid.org/0009-0004-0609-2644
Molly WentDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.ORCID http://orcid.org/0000-0003-3271-975X
Charlie MillsDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.ORCID http://orcid.org/0000-0002-4755-7549
Codie WoodDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Amit SudDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.ORCID http://orcid.org/0000-0002-6133-0164
James M AllanTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.ORCID http://orcid.org/0000-0002-7580-5087
Richard HoulstonDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.ORCID http://orcid.org/0000-0002-5268-0242
Martin F KaiserDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.ORCID http://orcid.org/0000-0002-3677-4804

Funding

University of Oxford (Oxford University) Crankstart BursaryWellcome Trust 227000Wellcome Trust (Wellcome) Early Career Award (227000/Z/23/Z)
6 · The paper itself

Abstract

Although treatment options for B-cell malignancies have expanded, many patients continue to face limited response rates, highlighting an urgent need for new therapeutic targets. To prioritize candidate drug targets for B-cell malignancies, we employed Mendelian Randomization to estimate potentially causal relationships between 445 immune cell traits and six B-cell cancers: follicular lymphoma (FL), diffuse large B-cell lymphoma (DLBCL), Hodgkin lymphoma (HL), marginal zone lymphoma (MZL), chronic lymphocytic leukemia (CLL), and multiple myeloma (MM), totaling 22,922 cases and 394,204 controls. 163 traits showed a suggestive association with at least one B-cell malignancy (P < 0.05), with 34 traits being significant after correction for multiple testing (P < 2 × 10

Indexed as

Lymphoma, B-CellMendelian Randomization AnalysisBiomarkers, TumorHumansPhenotypeBiomarkers, Tumor

Identifiers

PMID40199857
PMCPMC11979003

What OpenQuestion holds

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Registered trials

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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.