Evidence map›Paper›PMID 39981665›Full record

ArticleOncoimmunology2025

Patient-specific HLA-I subtypes predict response to immune checkpoint blockade.

Kyrillus S Shohdy, Jack Atherton, Jessica Longland, Jennifer Alison, Manon Pillai, Fiona Thistlethwaite

Abstract read
In one paragraph

Article in Oncoimmunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

6 authors.

Kyrillus S ShohdyExperimental Cancer Medicine Team, The Christie NHS Foundation Trust, Manchester, UK.
Jack AthertonExperimental Cancer Medicine Team, The Christie NHS Foundation Trust, Manchester, UK.
Jessica LonglandExperimental Cancer Medicine Team, The Christie NHS Foundation Trust, Manchester, UK.
Jennifer AlisonExperimental Cancer Medicine Team, The Christie NHS Foundation Trust, Manchester, UK.
Manon PillaiExperimental Cancer Medicine Team, The Christie NHS Foundation Trust, Manchester, UK.
Fiona ThistlethwaiteExperimental Cancer Medicine Team, The Christie NHS Foundation Trust, Manchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Specific shared HLA-I alleles were linked to the response to immune checkpoint blockade (ICB). We aimed to identify the HLA-A subtypes associated with maximum benefit from ICB. We compiled a clinical dataset of patients who underwent a CLIA-approved germline HLA status testing as part of various advanced immune and cell therapy trials undertaken at the Christie NHS Foundation Trust. A total of 285 patients were eligible for final analysis. We identified 15 HLA-A subtypes, the most common alleles being HLA-A02, HLA-A01, and HLA-A03. A02:01 showed a tumor lineage-specific distribution. One hundred and forty patients received ICB and had evaluable response status. Patients with A01 were associated with better clinical outcomes. No significant associations were observed between HLA-A subtypes and the incidence of immune-related adverse effects. HLA genotyping should be incorporated early in the diagnostic work-up of patients with solid cancers as a predictive and selective biomarker.

Indexed as

Biomarkers, TumorHLA-A AntigensImmune Checkpoint InhibitorsNeoplasmsAdultAgedAllelesFemaleGenotypeHumansMaleMiddle AgedTreatment OutcomeBiomarkers, TumorHLA-A AntigensImmune Checkpoint InhibitorsAdvanced cancerHLA subtypeimmune checkpointpredictive biomarkers

Identifiers

PMID39981665
PMCPMC11849918

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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.