Evidence map›Paper›PMID 28854368›Full record

ArticleCell reports2017

Genomic Determinants of Protein Abundance Variation in Colorectal Cancer Cells.

Theodoros I Roumeliotis, Steven P Williams, Emanuel Gonçalves, Clara Alsinet, Martin Del Castillo Velasco-Herrera, Nanne Aben, Fatemeh Zamanzad Ghavidel, Magali Michaut, Michael Schubert, Stacey Price and 14 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Cell reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03428672 (Collection of Bone Specimens for Quantitative Analysis of Global Proteome and Iron Content Detection), which is not on this map. Cited by 74 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 2 pooled it
6.3field-weighted citation impact, top 3% 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.

NCT03428672 naunknown statusnot on this mapstarted 2018, after this paper: background citation

Collection of Bone Specimens for Quantitative Analysis of Global Proteome and Iron Content Detection

TypeinterventionalSponsorSecond Affiliated Hospital of Soochow UniversityRan2018 to 2019Enrolled100ConditionsFemoral Neck FracturesArmstotal hip arthroplasty
3 · Its place in the literature

Who cites it

74 citing papers in PubMed, 2 syntheses or guidelines pooled it, 124 citations in OpenAlex.

  1. Pooled it
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  16. Proteomics appending a complementary dimension to precision oncotherapy.Computational and structural biotechnology journal · 2024
    Review
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14 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

24 authors at 8 institutions in 5 countries.

Theodoros I RoumeliotisWellcome Trust Sanger Institute, Wellcome Genome Campus, Cambridge CB10 1SA, UK. Electronic address: tr6@sanger.ac.uk.
Steven P WilliamsWellcome Trust Sanger Institute, Wellcome Genome Campus, Cambridge CB10 1SA, UK.
Emanuel GonçalvesEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge CB10 1SD, UK.
Clara AlsinetWellcome Trust Sanger Institute, Wellcome Genome Campus, Cambridge CB10 1SA, UK.
Martin Del Castillo Velasco-HerreraWellcome Trust Sanger Institute, Wellcome Genome Campus, Cambridge CB10 1SA, UK.
Nanne AbenDivision of Molecular Carcinogenesis, Computational Cancer Biology, the Netherlands Cancer Institute, Amsterdam 1066, the Netherlands.
Fatemeh Zamanzad GhavidelEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge CB10 1SD, UK.
Magali MichautDivision of Molecular Carcinogenesis, Computational Cancer Biology, the Netherlands Cancer Institute, Amsterdam 1066, the Netherlands.
Michael SchubertEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge CB10 1SD, UK.
Stacey PriceWellcome Trust Sanger Institute, Wellcome Genome Campus, Cambridge CB10 1SA, UK.
James C WrightWellcome Trust Sanger Institute, Wellcome Genome Campus, Cambridge CB10 1SA, UK.
Lu YuWellcome Trust Sanger Institute, Wellcome Genome Campus, Cambridge CB10 1SA, UK.
Mi YangFaculty of Medicine, Joint Research Center for Computational Biomedicine, RWTH Aachen University, Aachen 52057, Germany.
Rodrigo DienstmannComputational Oncology, Sage Bionetworks, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA; Oncology Data Science Group, Vall d'Hebron Institute of Oncology, Barcelona 08035, Spain.
Justin GuinneyComputational Oncology, Sage Bionetworks, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA.
Pedro BeltraoEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge CB10 1SD, UK.
Alvis BrazmaEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge CB10 1SD, UK.
Mercedes PardoWellcome Trust Sanger Institute, Wellcome Genome Campus, Cambridge CB10 1SA, UK.
Oliver StegleEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge CB10 1SD, UK.
David J AdamsWellcome Trust Sanger Institute, Wellcome Genome Campus, Cambridge CB10 1SA, UK.
Lodewyk WesselsDivision of Molecular Carcinogenesis, Computational Cancer Biology, the Netherlands Cancer Institute, Amsterdam 1066, the Netherlands; Faculty of EEMCS, Delft University of Technology, Delft 2628, the Netherlands.
Julio Saez-RodriguezEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge CB10 1SD, UK; Faculty of Medicine, Joint Research Center for Computational Biomedicine, RWTH Aachen University, Aachen 52057, Germany.
Ultan McDermottWellcome Trust Sanger Institute, Wellcome Genome Campus, Cambridge CB10 1SA, UK.
Jyoti S ChoudharyWellcome Trust Sanger Institute, Wellcome Genome Campus, Cambridge CB10 1SA, UK; Functional Proteomics Group, Chester Beatty Laboratories, The Institute of Cancer Research, London SW3 6JB, UK. Electronic address: jc4@sanger.ac.uk.
Wellcome Sanger Institute · GBEuropean Bioinformatics Institute · GBThe Netherlands Cancer Institute · NLDelft University of Technology · NLFred Hutch Cancer Center · USInstitute of Cancer Research · GBRWTH Aachen University · DEVall d'Hebron Hospital Universitari · ES

Funding

Cancer Research UK 13031Wellcome Trust 098051
6 · The paper itself

Abstract

Assessing the impact of genomic alterations on protein networks is fundamental in identifying the mechanisms that shape cancer heterogeneity. We have used isobaric labeling to characterize the proteomic landscapes of 50 colorectal cancer cell lines and to decipher the functional consequences of somatic genomic variants. The robust quantification of over 9,000 proteins and 11,000 phosphopeptides on average enabled the de novo construction of a functional protein correlation network, which ultimately exposed the collateral effects of mutations on protein complexes. CRISPR-cas9 deletion of key chromatin modifiers confirmed that the consequences of genomic alterations can propagate through protein interactions in a transcript-independent manner. Lastly, we leveraged the quantified proteome to perform unsupervised classification of the cell lines and to build predictive models of drug response in colorectal cancer. Overall, we provide a deep integrative view of the functional network and the molecular structure underlying the heterogeneity of colorectal cancer cells.

Indexed as

Genome, HumanAntineoplastic AgentsCell Line, TumorColorectal NeoplasmsGene Expression Regulation, NeoplasticHumansModels, BiologicalMutationNeoplasm ProteinsPhosphoproteinsProtein SubunitsProteomeProteomicsQuantitative Trait LociRNA, MessengerTranscription, GeneticAntineoplastic AgentsNeoplasm ProteinsPhosphoproteinsProtein SubunitsProteomeRNA, Messengercell linescolorectal cancerCRISPR/cas9drug responsemutationsnetworksphosphorylationprotein complexesproteomicsTMT

Identifiers

PMID28854368
PMCPMC5583477
OpenAlexW2562523657

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Registered trials

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.