Evidence map›Paper›PMID 36454758›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

MEK inhibition enhances presentation of targetable MHC-I tumor antigens in mutant melanomas.

Lauren E Stopfer, Nicholas J Rettko, Owen Leddy, Joshua M Mesfin, Eric Brown, Shannon Winski, Bryan Bryson, James A Wells, Forest M White

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

28 citing papers in PubMed, 33 citations in OpenAlex.

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  9. Scaling Large Language Models for Next-Generation Single-Cell Analysis.bioRxiv : the preprint server for biology · 2026
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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

9 authors at 4 institutions in 1 country.

Lauren E StopferDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139.
Nicholas J RettkoDepartment of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158.ORCID 0000-0002-4332-2697
Owen LeddyDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139.
Joshua M MesfinDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139.
Eric BrownPfizer Boulder Research & Development, Boulder, CO 8030.ORCID 0000-0001-8897-2207
Shannon WinskiPfizer Boulder Research & Development, Boulder, CO 8030.ORCID 0000-0003-0111-5830
Bryan BrysonDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0003-1716-6712
James A WellsDepartment of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158.ORCID 0000-0001-8267-5519
Forest M WhiteDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0002-1545-1651
Massachusetts Institute of Technology · USPfizer (United States) · USRagon Institute of MGH, MIT and Harvard · USUniversity of California, San Francisco · US

Funding

TRAINING GRANTS IN ENVIROMENTAL TOXICOLOGYT32ES007020 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI ESSIGMANN, JOHN M · 1985 to 2024
$13.1M
Trans Network ProjectU54CA210180 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SARKARIA, JANN N., WHITE, FOREST M · 2016 to 2020
$10.2M
Surfaceomic technologies and antibodies to probe cell surface proteomes and their interactomes at unprecedented small scale and high-resolutionR35GM122451 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JAMES A WELLS · 2017 to 2026
$5.3M
New protein engineering-based tools and technologies for characterizing cell surface proteolysis in cancer cells for novel neo-epitope biomarkers and drug targetsR01CA248323 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JAMES A WELLS · 2020 to 2026
$2.6M
Identification of adaptive response mechanisms in breast cancer by information theory and proteomicsU01CA238720 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KRAVCHENKO-BALASHA, NATALY, WHITE, FOREST M · 2019 to 2023
$2.0M
NCI NIH HHS R01 CA248323NCI NIH HHS U01 CA238720NCI NIH HHS U54 CA210180NIEHS NIH HHS T32 ES007020NIEHS NIH HHS Y02 ES007020NIGMS NIH HHS R35 GM122451
6 · The paper itself

Abstract

Combining multiple therapeutic strategies in NRAS/BRAF mutant melanoma-namely MEK/BRAF kinase inhibitors, immune checkpoint inhibitors (ICIs), and targeted immunotherapies-may offer an improved survival benefit by overcoming limitations associated with any individual therapy. Still, optimal combination, order, and timing of administration remains under investigation. Here, we measure how MEK inhibition (MEKi) alters anti-tumor immunity by utilizing quantitative immunopeptidomics to profile changes in the peptide major histocompatibility molecules (pMHC) repertoire. These data reveal a collection of tumor antigens whose presentation levels are selectively augmented following therapy, including several epitopes present at over 1,000 copies per cell. We leveraged the tunable abundance of MEKi-modulated antigens by targeting four epitopes with pMHC-specific T cell engagers and antibody drug conjugates, enhancing cell killing in tumor cells following MEK inhibition. These results highlight drug treatment as a means to enhance immunotherapy efficacy by targeting specific upregulated pMHCs and provide a methodological framework for identifying, quantifying, and therapeutically targeting additional epitopes of interest.

Indexed as

MelanomaMitogen-Activated Protein Kinase KinasesAntigens, NeoplasmEpitopesHumansProto-Oncogene Proteins B-rafAntigens, NeoplasmEpitopesMitogen-Activated Protein Kinase KinasesProto-Oncogene Proteins B-rafantigen presentationimmunopeptidomicsligandomicsmelanomaMHC

Identifiers

PMID36454758
PMCPMC9894220
OpenAlexW4310497682

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.