Evidence map›Paper›PMID 41312385›Full record

ArticleiScience2025

Resource: A compendium of HLA types and expression in pediatric cancer models.

Yiwen Guan, Ishika Mahajan, Vikesh Ajith, Dingyin Sun, Isaac Woodhouse, Tima Shamekhi, Pouya Faridi, Ron Firestein, Claire Xin Sun

Abstract read
In one paragraph

Article in iScience, 2025. 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

9 authors.

Yiwen GuanCentre for Cancer Research, Hudson Institute of Medical Research, Clayton, VIC 3168, Australia.
Ishika MahajanCentre for Cancer Research, Hudson Institute of Medical Research, Clayton, VIC 3168, Australia.
Vikesh AjithCentre for Cancer Research, Hudson Institute of Medical Research, Clayton, VIC 3168, Australia.
Dingyin SunCentre for Cancer Research, Hudson Institute of Medical Research, Clayton, VIC 3168, Australia.
Isaac WoodhouseCentre for Cancer Research, Hudson Institute of Medical Research, Clayton, VIC 3168, Australia.
Tima ShamekhiCentre for Cancer Research, Hudson Institute of Medical Research, Clayton, VIC 3168, Australia.
Pouya FaridiCentre for Cancer Research, Hudson Institute of Medical Research, Clayton, VIC 3168, Australia.
Ron FiresteinCentre for Cancer Research, Hudson Institute of Medical Research, Clayton, VIC 3168, Australia.
Claire Xin SunCentre for Cancer Research, Hudson Institute of Medical Research, Clayton, VIC 3168, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer immunotherapy has revolutionized treatment by leveraging the immune system to recognize and destroy tumor cells, offering a promising, less toxic option for pediatric patients. A key component of this response is antigen presentation, which depends on accurate human leukocyte antigen (HLA) typing and expression. However, immune-focused resources for pediatric cancers remain limited. In this study, we present a comprehensive immunogenomic resource covering 231 cancer cell lines and 56 tumor-associated fibroblast cell lines from the Childhood Cancer Model Atlas (CCMA). We inferred high-resolution HLA types, predicted neoantigens arising from somatic single nucleotide variants, gene fusions, and splicing isoforms across multiple tumor types, and quantified HLA expression levels. We also explored immune escape mechanisms, including loss of heterozygosity and allele-specific expression loss of HLA genes. This publicly accessible dataset provides critical insight into the immune landscape of pediatric cancers and serves as a foundational tool for immunotherapy development.

Indexed as

cancerimmunologymolecular biology

Identifiers

PMID41312385
PMCPMC12651366

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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.