Evidence map›Paper›PMID 36759885›Full record

ArticleGenome medicine2023

Pervasiveness of HLA allele-specific expression loss across tumor types.

Ioan Filip, Anqi Wang, Oleksandr Kravets, Rose Orenbuch, Junfei Zhao, Tomin E Perea-Chamblee, Gulam A Manji, Evangelina López de Maturana, Núria Malats, Kenneth P Olive and 1 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
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

17 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. The immunology of human breast cancer.Nature reviews. Immunology · 2026
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  11. Leveraging T cells for cancer immunotherapy.Immunity & inflammation · 2025
    Review
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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

11 authors at 3 institutions in 2 countries.

Ioan Filip *Program for Mathematical Genomics, Department of Systems Biology, Columbia University, New York, NY, USA.
Anqi Wang *Program for Mathematical Genomics, Department of Systems Biology, Columbia University, New York, NY, USA.
Oleksandr Kravets *Program for Mathematical Genomics, Department of Systems Biology, Columbia University, New York, NY, USA.
Rose Orenbuch *Program for Mathematical Genomics, Department of Systems Biology, Columbia University, New York, NY, USA.
Junfei ZhaoProgram for Mathematical Genomics, Department of Systems Biology, Columbia University, New York, NY, USA.
Tomin E Perea-ChambleeProgram for Mathematical Genomics, Department of Systems Biology, Columbia University, New York, NY, USA.
Gulam A ManjiDepartment of Medicine, Division of Hematology and Oncology, Columbia University, New York, NY, USA.
Evangelina López de MaturanaGenetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), and CIBERONC, Madrid, Spain.
Núria MalatsGenetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), and CIBERONC, Madrid, Spain.
Kenneth P OliveDepartment of Medicine, Division of Digestive and Liver Diseases, Columbia University, New York, NY, USA.
Raul RabadanProgram for Mathematical Genomics, Department of Systems Biology, Columbia University, New York, NY, USA. rr2579@cumc.columbia.edu.
Columbia University · USSpanish National Cancer Research Centre · ESCenter for Systems Biology · US

Funding

Single-cell characterization of tumor and microenvironment co-evolution in Peripheral T-cell LymphomasU01CA243073 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PALOMERO, TERESA, RABADAN, RAUL · 2019 to 2023
$3.0M
NCI NIH HHS U01 CA243073
6 · The paper itself

Abstract

backgroundEfficient presentation of mutant peptide fragments by the human leukocyte antigen class I (HLA-I) genes is necessary for immune-mediated killing of cancer cells. According to recent reports, patient HLA-I genotypes can impact the efficacy of cancer immunotherapy, and the somatic loss of HLA-I heterozygosity has been established as a factor in immune evasion. While global deregulated expression of HLA-I has also been reported in different tumor types, the role of HLA-I allele-specific expression loss - that is, the preferential RNA expression loss of specific HLA-I alleles - has not been fully characterized in cancer.

methodsHere, we use RNA and whole-exome sequencing data to quantify HLA-I allele-specific expression (ASE) in cancer using our novel method arcasHLA-quant.

resultsWe show that HLA-I ASE loss in at least one of the three HLA-I genes is a pervasive phenomenon across TCGA tumor types. In pancreatic adenocarcinoma, tumor-specific HLA-I ASE loss is associated with decreased overall survival specifically in the basal-like subtype, a finding that we validated in an independent cohort through laser-capture microdissection. Additionally, we show that HLA-I ASE loss is associated with poor immunotherapy outcomes in metastatic melanoma through retrospective analyses.

conclusionsTogether, our results highlight the prevalence of HLA-I ASE loss and provide initial evidence of its clinical significance in cancer prognosis and immunotherapy treatment.

Indexed as

AdenocarcinomaPancreatic NeoplasmsAllelesHistocompatibility Antigens Class IHumansRetrospective StudiesRNAHistocompatibility Antigens Class IRNAAllele-specific expressionHLAImmunotherapyLoss of heterogeneityPan-cancer analysisPancreatic cancer

Identifiers

PMID36759885
PMCPMC9912643
OpenAlexW4319736966

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.