Evidence map›Paper›PMID 29107334›Full record

ArticleCell2017

MHC-I Genotype Restricts the Oncogenic Mutational Landscape.

Rachel Marty, Saghar Kaabinejadian, David Rossell, Michael J Slifker, Joris van de Haar, Hatice Billur Engin, Nicola de Prisco, Trey Ideker, William H Hildebrand, Joan Font-Burgada and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Cell, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 229 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
229citing papers in PubMed, 2 pooled it
15.2field-weighted citation impact, top 1% 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

229 citing papers in PubMed, 2 syntheses or guidelines pooled it, 362 citations in OpenAlex.

  1. Pooled it
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  8. Predictors of Immune Checkpoint Blockade Response in dMMR Colorectal Cancer Using an Integrated Immune-Enhanced Multiomics Platform.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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169 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 3 countries.

Rachel MartyDepartment of Medicine, Division of Medical Genetics, University of California San Diego, La Jolla, CA 92093, USA; Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA 92093, USA.
Saghar KaabinejadianDepartment of Microbiology and Immunology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA.
David RossellDepartment of Economics & Business, Universitat Pompeu Fabra, 08002 Barcelona, Spain.
Michael J SlifkerBiostatistics and Bioinformatics Facility, Fox Chase Cancer Center, 333 Cottman Avenue, Philadelphia, PA 19111, USA.
Joris van de HaarDepartment of Medicine, Division of Medical Genetics, University of California San Diego, La Jolla, CA 92093, USA; Division of Molecular Oncology & Immunology, the Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands.
Hatice Billur EnginDepartment of Medicine, Division of Medical Genetics, University of California San Diego, La Jolla, CA 92093, USA.
Nicola de PriscoCancer Biology Program, Fox Chase Cancer Center, 333 Cottman Avenue, Philadelphia, PA 19111, USA.
Trey IdekerDepartment of Medicine, Division of Medical Genetics, University of California San Diego, La Jolla, CA 92093, USA; Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA 92093, USA; Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA; Cancer Cell Map Initiative (CCMI), University of California San Diego, La Jolla, CA 92093, USA; Department of Computer Science, University of California San Diego, La Jolla, CA 92093, USA.
William H HildebrandDepartment of Microbiology and Immunology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA.
Joan Font-BurgadaDepartment of Pharmacology, School of Medicine, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA; Cancer Biology Program, Fox Chase Cancer Center, 333 Cottman Avenue, Philadelphia, PA 19111, USA. Electronic address: joan.font-burgada@fccc.edu.
Hannah CarterDepartment of Medicine, Division of Medical Genetics, University of California San Diego, La Jolla, CA 92093, USA; Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA 92093, USA; Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA; Cancer Cell Map Initiative (CCMI), University of California San Diego, La Jolla, CA 92093, USA.
Fox Chase Cancer Center · USUniversity of California San Diego · USUniversity of Oklahoma Health Sciences Center · USThe Netherlands Cancer Institute · NLUniversitat Pompeu Fabra · ESUniversity of California San Diego Medical Center · US

Funding

WORD PROCESSING CENTER--COREP30CA006927 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI Margaret von Mehren · 1985 to 2026
$138.8M
TR&D 3 - Network Guided Machine LearningP41GM103504 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2012 to 2024
$17.3M
Using Networks to Seed Hierarchical Whole-cell Models of CancerU54CA209891 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI IDEKER, TREY · 2017 to 2021
$10.9M
NDEx - the Network Data Exchange A Network Commons for BiologistsU24CA184427 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PRATT, DEXTER · 2014 to 2021
$5.7M
Network approaches to identify cancer drivers from high-dimensional tumor dataDP5OD017937 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CARTER, HANNAH KATHRYN · 2013 to 2017
$1.9M
Development of mosaic mouse models of HCC for genetic interspecies inferenceR00CA191152 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI FONT-BURGADA, JOAN · 2017 to 2019
$747k
Development of mosaic mouse models of HCC for genetic interspecies inferenceK99CA191152 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FONT-BURGADA, JOAN · 2015 to 2016
$219k
NCI NIH HHS K99 CA191152NCI NIH HHS P30 CA006927NCI NIH HHS R00 CA191152NCI NIH HHS U24 CA184427NCI NIH HHS U54 CA209891NIGMS NIH HHS P41 GM103504NIH HHS DP5 OD017937
6 · The paper itself

Abstract

MHC-I molecules expose the intracellular protein content on the cell surface, allowing T cells to detect foreign or mutated peptides. The combination of six MHC-I alleles each individual carries defines the sub-peptidome that can be effectively presented. We applied this concept to human cancer, hypothesizing that oncogenic mutations could arise in gaps in personal MHC-I presentation. To validate this hypothesis, we developed and applied a residue-centric patient presentation score to 9,176 cancer patients across 1,018 recurrent oncogenic mutations. We found that patient MHC-I genotype-based scores could predict which mutations were more likely to emerge in their tumor. Accordingly, poor presentation of a mutation across patients was correlated with higher frequency among tumors. These results support that MHC-I genotype-restricted immunoediting during tumor formation shapes the landscape of oncogenic mutations observed in clinically diagnosed tumors and paves the way for predicting personal cancer susceptibilities from knowledge of MHC-I genotype.

Indexed as

Antigen PresentationMutationCell Line, TumorComputer SimulationFemaleHeLa CellsHistocompatibility Antigens Class IHumansMaleMonitoring, ImmunologicNeoplasmsProteomeHistocompatibility Antigens Class IProteomeantigen presentationcancercancer predispositioncancer susceptibility predictionhuman leukocyte antigenimmunoeditingimmunologyimmunotherapymajor histocompatibility complexneoantigens

Identifiers

PMID29107334
PMCPMC5711564
OpenAlexW4237687615

What OpenQuestion holds

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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.