Evidence map›Paper›PMID 37991387›Full record

ArticleCancer research communications2023

Multifactorial Remodeling of the Cancer Immunopeptidome by IFNγ.

Alice Newey, Lu Yu, Louise J Barber, Jyoti S Choudhary, Michal Bassani-Sternberg, Marco Gerlinger

Open access · goldAbstract read
In one paragraph

Article in Cancer research communications, 2023. 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
0.8field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 6 citations in OpenAlex.

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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

6 authors at 4 institutions in 2 countries.

Alice NeweyBarts Cancer Institute, Queen Mary University of London, London, United Kingdom.ORCID 0000-0002-1628-6758
Lu YuThe Institute of Cancer Research, London, United Kingdom.ORCID 0000-0001-8378-9112
Louise J BarberBarts Cancer Institute, Queen Mary University of London, London, United Kingdom.ORCID 0000-0001-9265-3516
Jyoti S ChoudharyThe Proteomics Core Facility, The Institute of Cancer Research, London, United Kingdom.ORCID 0000-0003-0881-5477
Michal Bassani-SternbergDepartment of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-1934-954X
Marco GerlingerBarts Cancer Institute, Queen Mary University of London, London, United Kingdom.ORCID 0000-0003-2719-299X
Institute of Cancer Research · GBCancer Research UK · GBLudwig Cancer Research · CHSt Bartholomew's Hospital · GB

Funding

Cancer Research UK (CRUK) DRCPFA-Jun22\100002NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research (BRC) NAQM | NIHR Barts Biomedical Research Centre, Queen Mary University of London (BRC) NA
6 · The paper itself

Abstract

IFNγ alters the immunopeptidome presented on HLA class I (HLA-I), and its activity on cancer cells is known to be important for effective immunotherapy responses. We performed proteomic analyses of untreated and IFNγ-treated colorectal cancer patient-derived organoids and combined this with transcriptomic and HLA-I immunopeptidomics data to dissect mechanisms that lead to remodeling of the immunopeptidome through IFNγ. IFNγ-induced changes in the abundance of source proteins, switching from the constitutive to the immunoproteasome, and differential upregulation of different HLA alleles explained some, but not all, observed peptide abundance changes. By selecting for peptides which increased or decreased the most in abundance, but originated from proteins with limited abundance changes, we discovered that the amino acid composition of presented peptides also influences whether a peptide is upregulated or downregulated on HLA-I through IFNγ. The presence of proline within the peptide core was most strongly associated with peptide downregulation. This was validated in an independent dataset. Proline substitution in relevant core positions did not influence the predicted HLA-I binding affinity or stability, indicating that proline effects on peptide processing may be most relevant. Understanding the multiple factors that influence the abundance of peptides presented on HLA-I in the absence or presence of IFNγ is important to identify the best targets for antigen-specific cancer immunotherapies such as vaccines or T-cell receptor engineered therapeutics. SIGNIFICANCE: IFNγ remodels the HLA-I-presented immunopeptidome. We showed that peptide-specific factors influence whether a peptide is upregulated or downregulated and identified a preferential loss or downregulation of those with proline near the peptide center. This will help selecting immunotherapy target antigens which are consistently presented by cancer cells.

Indexed as

NeoplasmsProteomicsAntigensHumansInterferon-gammaPeptidesProlineAntigensInterferon-gammaPeptidesProline

Identifiers

PMID37991387
PMCPMC10655636
OpenAlexW4388764059

What OpenQuestion holds

Textmetadata
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.