Evidence map›Paper›PMID 36894710›Full record

ArticleNature genetics2023

Immune selection determines tumor antigenicity and influences response to checkpoint inhibitors.

Luis Zapata, Giulio Caravagna, Marc J Williams, Eszter Lakatos, Khalid AbdulJabbar, Benjamin Werner, Diego Chowell, Chela James, Lucie Gourmet, Salvatore Milite and 5 more

Open access · hybridFull text read
In one paragraph

Article in Nature genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
11.7field-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

48 citing papers in PubMed, 74 citations in OpenAlex.

  1. Predicting Neoantigen Immunogenicity frombioRxiv : the preprint server for biology · 2026
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  19. Modeling combination chemo-immunotherapy for heterogeneous tumors.Quantitative biology (Beijing, China) · 2025
    Article
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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

15 authors at 9 institutions in 4 countries.

Luis ZapataCentre for Evolution and Cancer, The Institute of Cancer Research, London, UK. luis.zapata@icr.ac.uk.ORCID http://orcid.org/0000-0002-1386-2019
Giulio CaravagnaCentre for Evolution and Cancer, The Institute of Cancer Research, London, UK.ORCID http://orcid.org/0000-0003-4240-3265
Marc J WilliamsComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan 10 Kettering Cancer Center, New York, NY, USA.ORCID http://orcid.org/0000-0001-5524-4174
Eszter LakatosCentre for Genomics and Computational Biology, Barts Cancer Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0002-7221-6850
Khalid AbdulJabbarCentre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
Benjamin WernerCentre for Genomics and Computational Biology, Barts Cancer Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0002-6857-8699
Diego ChowellThe Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Chela JamesCentre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
Lucie GourmetUCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, UK.
Salvatore MiliteComputational Biology Research Centre, Human Technopole, Milan, Italy.
Ahmet AcarDepartment of Biological Sciences, Middle East Technical University, Universiteler Mah, Ankara, Turkey.
Nadeem RiazDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID http://orcid.org/0000-0001-9873-5862
Timothy A ChanCenter for Immunotherapy and Precision Immuno-Oncology, Cleveland Clinic, Cleveland, OH, USA.ORCID http://orcid.org/0000-0002-9265-0283
Trevor A GrahamCentre for Evolution and Cancer, The Institute of Cancer Research, London, UK. trevor.graham@icr.ac.uk.ORCID http://orcid.org/0000-0001-9582-1597
Andrea SottorivaCentre for Evolution and Cancer, The Institute of Cancer Research, London, UK. andrea.sottoriva@fht.org.ORCID http://orcid.org/0000-0001-6709-9533
Institute of Cancer Research · GBMemorial Sloan Kettering Cancer Center · USQueen Mary University of London · GBCleveland Clinic · USHuman Technopole · ITIcahn School of Medicine at Mount Sinai · USMiddle East Technical University · TRUniversity College London · GBUniversity of Trieste · IT

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Conduits: Mount Sinai Health System Translational Science HubUL1TR004419 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rosalind J Wright · 2022 to 2026
$46.4M
Translational and Clinical Trial Correlates CoreU54CA274513 · NCI · CLEVELAND CLINIC LERNER COM-CWRU · PI David Sung-wen Yu · 2022 to 2026
$9.3M
TOWARDS PRECISION IMMUNO-ONCOLOGY: UNRAVELING THE GENOMIC DETERMINANTS AND MECHANISMS UNDERLYING IMMUNOTHERAPY EFFICACY AND RESISTANCER35CA232097 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI CHAN, TIMOTHY AN-THY · 2018 to 2024
$7.0M
Elucidating genetics of response to immune checkpoint blockade in lung cancerR01CA205426 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CHAN, TIMOTHY AN-THY, RIZVI, NAIYER A · 2017 to 2021
$3.2M
Cancer Research UK 19771Cancer Research UK 22909Cancer Research UK 26815NCATS NIH HHS UL1 TR004419NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA205426NCI NIH HHS R35 CA232097NCI NIH HHS U54 CA274513
6 · The paper itself

Abstract

In cancer, evolutionary forces select for clones that evade the immune system. Here we analyzed >10,000 primary tumors and 356 immune-checkpoint-treated metastases using immune dN/dS, the ratio of nonsynonymous to synonymous mutations in the immunopeptidome, to measure immune selection in cohorts and individuals. We classified tumors as immune edited when antigenic mutations were removed by negative selection and immune escaped when antigenicity was covered up by aberrant immune modulation. Only in immune-edited tumors was immune predation linked to CD8 T cell infiltration. Immune-escaped metastases experienced the best response to immunotherapy, whereas immune-edited patients did not benefit, suggesting a preexisting resistance mechanism. Similarly, in a longitudinal cohort, nivolumab treatment removes neoantigens exclusively in the immunopeptidome of nonimmune-edited patients, the group with the best overall survival response. Our work uses dN/dS to differentiate between immune-edited and immune-escaped tumors, measuring potential antigenicity and ultimately helping predict response to treatment.

Indexed as

NeoplasmsAntigens, NeoplasmCD8-Positive T-LymphocytesHumansMutationNivolumabAntigens, NeoplasmNivolumab

Identifiers

PMID36894710
PMCPMC10011129
OpenAlexW4323669716

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read44
identifiers read1
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.