Evidence map›Paper›PMID 29855388›Full record

ArticleGenome biology2018

Negative selection in tumor genome evolution acts on essential cellular functions and the immunopeptidome.

Luis Zapata, Oriol Pich, Luis Serrano, Fyodor A Kondrashov, Stephan Ossowski, Martin H Schaefer

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
4.4field-weighted citation impact, top 4% 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

66 citing papers in PubMed, 130 citations in OpenAlex.

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  14. The Cancer Genome in the Long Reads Era.Methods in molecular biology (Clifton, N.J.) · 2025
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6 more citing papers are in PubMed but not listed here.

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 6 institutions in 4 countries.

Luis ZapataGenomic and Epigenomic Variation in Disease Group, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, 08003, Barcelona, Spain.
Oriol PichEvolutionary Genomics Group, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, 08003, Barcelona, Spain.
Luis SerranoDesign of Biological Systems Group, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, 08003, Barcelona, Spain.
Fyodor A KondrashovIST Austria (Institute of Science and Technology Austria), Am Campus 1, 3400, Klosterneuburg, Austria.
Stephan OssowskiGenomic and Epigenomic Variation in Disease Group, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, 08003, Barcelona, Spain. stephan.ossowski@med.uni-tuebingen.de.
Martin H SchaeferDesign of Biological Systems Group, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, 08003, Barcelona, Spain. martin.schaefer@crg.eu.ORCID 0000-0001-7503-6364
Centre for Genomic Regulation · ESInstitució Catalana de Recerca i Estudis Avançats · ESInstitute for Research in Biomedicine · ESInstitute of Cancer Research · GBInstitute of Science and Technology Austria · ATUniversitat Pompeu Fabra · ES

Funding

Deutsche Forschungsgemeinschaft SCHA 1933/1-1European Research Council 335980European Union Seventh Framework Programme HEALTH-F4-2011-278568Horizon 2020 () 635290Howard Hughes Medical Institute 55007424Ministerio de Economía y Competitividad BFU2015-68723-PMinisterio de Economía y Competitividad (ES) BFU2012-31329Ministerio de Economía y Competitividad (ES) BIO2012-39754Secretaría de Estado de Investigacion, Desarrollo e Innovacion SEV-2012-0208Secretaria d'Universitats i Recerca del Departament d'Economia i Coneixement de la Generalitat's AGAUR program 2014 SGR 0974
6 · The paper itself

Abstract

backgroundNatural selection shapes cancer genomes. Previous studies used signatures of positive selection to identify genes driving malignant transformation. However, the contribution of negative selection against somatic mutations that affect essential tumor functions or specific domains remains a controversial topic.

resultsHere, we analyze 7546 individual exomes from 26 tumor types from TCGA data to explore the portion of the cancer exome under negative selection. Although we find most of the genes neutrally evolving in a pan-cancer framework, we identify essential cancer genes and immune-exposed protein regions under significant negative selection. Moreover, our simulations suggest that the amount of negative selection is underestimated. We therefore choose an empirical approach to identify genes, functions, and protein regions under negative selection. We find that expression and mutation status of negatively selected genes is indicative of patient survival. Processes that are most strongly conserved are those that play fundamental cellular roles such as protein synthesis, glucose metabolism, and molecular transport. Intriguingly, we observe strong signals of selection in the immunopeptidome and proteins controlling peptide exposition, highlighting the importance of immune surveillance evasion. Additionally, tumor type-specific immune activity correlates with the strength of negative selection on human epitopes.

conclusionsIn summary, our results show that negative selection is a hallmark of cell essentiality and immune response in cancer. The functional domains identified could be exploited therapeutically, ultimately allowing for the development of novel cancer treatments.

Indexed as

Genes, NeoplasmAntigens, NeoplasmExomeGenomeHumansNeoplasmsPeptidesSelection, GeneticAntigens, NeoplasmPeptidesCancer-essential genesCancer immunologyNegative selectionNeoepitopesTumor evolution

Identifiers

PMID29855388
PMCPMC5984361
OpenAlexW2806991293

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.