Evidence map›Paper›PMID 39835134›Full record

ArticleFrontiers in immunology2024

SILAC-based quantification reveals modulation of the immunopeptidome in BRAF and MEK inhibitor sensitive and resistant melanoma cells.

Melissa Bernhardt, Anne Rech, Marion Berthold, Melina Lappe, Jan-Niklas Herbel, Florian Erhard, Annette Paschen, Bastian Schilling, Andreas Schlosser

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

9 authors.

Melissa BernhardtRudolf Virchow Center, Center for Integrative and Translational Bioimaging, Julius-Maximilians-Universität of Würzburg, Würzburg, Germany.
Anne RechDepartment of Dermatology, Venereology and Allergology, University Hospital Würzburg, Würzburg, Germany.
Marion BertholdDepartment of Dermatology, Venereology and Allergology, University Hospital Würzburg, Würzburg, Germany.
Melina LappeInstitute for Pharmacology and Toxicology, Julius-Maximilians-Universität of Würzburg, Würzburg, Germany.
Jan-Niklas HerbelInstitute for Pharmacology and Toxicology, Julius-Maximilians-Universität of Würzburg, Würzburg, Germany.
Florian ErhardFaculty for Informatics and Data Science, University of Regensburg, Regensburg, Germany.
Annette PaschenDepartment of Dermatology, University Hospital Essen, University Duisburg-Essen and German Cancer Consortium (DKTK), Essen, Germany.
Bastian SchillingDepartment of Dermatology, Venereology and Allergology, University Hospital Würzburg, Würzburg, Germany.
Andreas SchlosserRudolf Virchow Center, Center for Integrative and Translational Bioimaging, Julius-Maximilians-Universität of Würzburg, Würzburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The immunopeptidome is constantly monitored by T cells to detect foreign or aberrant HLA peptides. It is highly dynamic and reflects the current cellular state, enabling the immune system to recognize abnormal cellular conditions, such as those present in cancer cells. To precisely determine how changes in cellular processes, such as those induced by drug treatment, affect the immunopeptidome, quantitative immunopeptidomics approaches are essential. Methods: To meet this need, we developed a pulsed SILAC-based method for quantitative immunopeptidomics. Metabolic labeling with lysine, arginine, and leucine enabled isotopic labeling of nearly all HLA peptides across all allotypes (> 90% on average). We established a data analysis workflow that integrates the Results: We employed this strategy to explore the modulation of the immunopeptidome upon MAPK pathway inhibition (MAPKi) and to investigate alterations associated with early cellular responses to inhibitor treatment and acquired resistance to MAPKi. Our analyses demonstrated significant changes in the immunopeptidome early during MAPKi treatment and in the resistant state. Moreover, we identified putative tumor-specific cryptic HLA peptides linked to these processes that might represent exploitable targets for cancer immunotherapy. Conclusions: We have developed a new mass spectrometric approach that allowed us to investigate the effects of common MAPK inhibitors on the immunopeptidome of melanoma cells. This finally led to the discovery of new potential targets for cancer immunotherapy.

Indexed as

Drug Resistance, NeoplasmMelanomaMitogen-Activated Protein Kinase KinasesProtein Kinase InhibitorsProto-Oncogene Proteins B-rafCell Line, TumorHLA AntigensHumansIsotope LabelingPeptidesProteomicsBRAF protein, humanHLA AntigensMitogen-Activated Protein Kinase KinasesPeptidesProtein Kinase InhibitorsProto-Oncogene Proteins B-rafcryptic HLA peptidesde novo peptide sequencingHLA-I peptidesMAPK pathway inhibitionmass spectrometrymelanomastable isotope labelingT-cell epitopes

Identifiers

PMID39835134
PMCPMC11744270

What Socratic holds

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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 Socratic graph.