Evidence map›Paper›PMID 40315845›Full record

ArticleCell reports. Medicine2025

Low T cell diversity associates with poor outcome in bladder cancer: A comprehensive longitudinal analysis of the T cell receptor repertoire.

Asbjørn Kjær, Nanna Kristjánsdóttir, Randi Istrup Juul, Iver Nordentoft, Karin Birkenkamp-Demtröder, Johanne Ahrenfeldt, Trine Strandgaard, Deema Radif, Darren Hodgson, Christopher Abbosh and 5 more

Abstract read
In one paragraph

Article in Cell reports. Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

15 authors.

Asbjørn KjærDepartment of Molecular Medicine, Aarhus University Hospital, 8200 Aarhus N, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, 8000 Aarhus, Denmark.
Nanna KristjánsdóttirDepartment of Molecular Medicine, Aarhus University Hospital, 8200 Aarhus N, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, 8000 Aarhus, Denmark.
Randi Istrup JuulDepartment of Molecular Medicine, Aarhus University Hospital, 8200 Aarhus N, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, 8000 Aarhus, Denmark.
Iver NordentoftDepartment of Molecular Medicine, Aarhus University Hospital, 8200 Aarhus N, Aarhus, Denmark.
Karin Birkenkamp-DemtröderDepartment of Molecular Medicine, Aarhus University Hospital, 8200 Aarhus N, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, 8000 Aarhus, Denmark.
Johanne AhrenfeldtDepartment of Molecular Medicine, Aarhus University Hospital, 8200 Aarhus N, Aarhus, Denmark.
Trine StrandgaardDepartment of Molecular Medicine, Aarhus University Hospital, 8200 Aarhus N, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, 8000 Aarhus, Denmark.
Deema RadifDepartment of Molecular Medicine, Aarhus University Hospital, 8200 Aarhus N, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, 8000 Aarhus, Denmark.
Darren HodgsonCancer Biomarker Development, Oncology R&D, AstraZeneca, Cambridge CB2 0AA, UK.
Christopher AbboshCancer Biomarker Development, Oncology R&D, AstraZeneca, Cambridge CB2 0AA, UK.
Hugo J W L AertsArtificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA 02114, USA; Radiology and Nuclear Medicine, CARIM & GROW, Maastricht University, 6200 MD Maastricht, the Netherlands.
Mads AgerbækDepartment of Oncology, Aarhus University Hospital, 8200 Aarhus N, Aarhus, Denmark.
Jørgen Bjerggaard JensenDepartment of Clinical Medicine, Aarhus University, 8000 Aarhus, Denmark; Department of Urology, Aarhus University Hospital, 8200 Aarhus N, Aarhus, Denmark.
Nicolai J BirkbakDepartment of Molecular Medicine, Aarhus University Hospital, 8200 Aarhus N, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, 8000 Aarhus, Denmark. Electronic address: nbirkbak@clin.au.dk.
Lars DyrskjøtDepartment of Molecular Medicine, Aarhus University Hospital, 8200 Aarhus N, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, 8000 Aarhus, Denmark. Electronic address: lars@clin.au.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T cells are crucial effector cells in the endogenous defense against cancer, yet the clinical impact of their quantity, diversity, and dynamics remains underexplored. Here, we investigate the clinical relevance of the T cell receptor (TCR) repertoire in patients with bladder cancer. In advanced-stage disease, low pre-treatment peripheral TCR diversity is associated with worse overall survival (p = 0.024), particularly when coupled with low circulating T cell fractions (p = 0.00049). These low-diversity repertoires are dominated by hyper-expanded clones that persist throughout treatment. Further longitudinal analysis reveals reductions in TCR diversity after treatment, indicating adverse effects on the immune system. In early-stage disease, immunotherapy increases TCR diversity in patients with good outcomes. Furthermore, single-cell sequencing identifies most hyper-expanded clones as cytotoxic T cells, while non-expanded clones are predominantly naive T cells. Overall, this highlights TCR diversity as a promising biomarker, offering opportunities for tailored oncological treatments to enhance clinical outcomes.

Indexed as

Receptors, Antigen, T-CellT-LymphocytesUrinary Bladder NeoplasmsAgedAged, 80 and overFemaleHumansImmunotherapyLongitudinal StudiesMaleMiddle AgedReceptors, Antigen, T-Cellbiomarkersbladder cancercancer genomicscancer immunologymuscle-invasive bladder cancernext-generation sequencingsingle-cell sequencingT cell receptorsTCR sequencing

Identifiers

PMID40315845
PMCPMC12147909

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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.