Evidence map›Paper›PMID 30962452›Full record

ArticleNature communications2019

Breast cancer quantitative proteome and proteogenomic landscape.

Henrik J Johansson, Fabio Socciarelli, Nathaniel M Vacanti, Mads H Haugen, Yafeng Zhu, Ioannis Siavelis, Alejandro Fernandez-Woodbridge, Miriam R Aure, Bengt Sennblad, Mattias Vesterlund and 27 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
122citing papers in PubMed, 1 pooled it
17.2field-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

122 citing papers in PubMed, 1 synthesis or guideline pooled it, 231 citations in OpenAlex.

  1. Biomarkers of tumor invasiveness in proteomics (Review).International journal of oncology · 2020
    Pooled it
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  13. Integrating Spatial Proteogenomics in Cancer Research.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
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  15. Article
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  17. Article
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62 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

37 authors at 13 institutions in 3 countries.

Henrik J JohanssonScience for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, 171 21, Solna, Sweden.ORCID http://orcid.org/0000-0003-4729-4205
Fabio SocciarelliScience for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, 171 21, Solna, Sweden.
Nathaniel M VacantiScience for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, 171 21, Solna, Sweden.
Mads H HaugenDepartment of Tumor Biology and Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, 0424, Oslo, Norway.
Yafeng ZhuScience for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, 171 21, Solna, Sweden.
Ioannis SiavelisScience for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, 171 21, Solna, Sweden.
Alejandro Fernandez-WoodbridgeScience for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, 171 21, Solna, Sweden.
Miriam R AureDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, 0424, Oslo, Norway.
Bengt SennbladDepartment of Cell and Molecular Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Uppsala University, 752 37, Uppsala, Sweden.
Mattias VesterlundScience for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, 171 21, Solna, Sweden.ORCID http://orcid.org/0000-0001-9471-6592
Rui M BrancaScience for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, 171 21, Solna, Sweden.ORCID http://orcid.org/0000-0003-3890-6476
Lukas M OrreScience for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, 171 21, Solna, Sweden.
Mikael HussDepartment of Biochemistry and Biophysics, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Stockholm University, 171 21, Solna, Sweden.
Erik FredlundScience for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, 171 21, Solna, Sweden.
Elsa BerakiDepartment of Pathology, Oslo University Hospital, 0424, Oslo, Norway.
Øystein GarredDepartment of Pathology, Oslo University Hospital, 0424, Oslo, Norway.
Jorrit BoekelScience for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, 171 21, Solna, Sweden.
Torill SauerDepartment of Pathology, Akershus University Hospital, 1478, Lørenskog, Norway.
Wei ZhaoDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77230-1429, USA.
Silje NordDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, 0424, Oslo, Norway.
Elen K HöglanderDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, 0424, Oslo, Norway.
Daniel C JansDepartment of Applied Physics, KTH Royal Institute of Technology, 171 21, Solna, Sweden.
Hjalmar BrismarDepartment of Applied Physics, KTH Royal Institute of Technology, 171 21, Solna, Sweden.
Tonje H HaukaasDepartment of Circulation and Medical Imaging, The Norwegian University of Science and Technology - NTNU, 7491, Trondheim, Norway.
Tone F BathenDepartment of Circulation and Medical Imaging, The Norwegian University of Science and Technology - NTNU, 7491, Trondheim, Norway.
Ellen SchlichtingSection for Breast- and Endocrine Surgery, Department of Cancer, Division of Surgery, Cancer and Transplantation Medicine, Oslo University Hospital, 0424, Oslo, Norway.
Bjørn NaumeInstitute for Clinical Medicine, University of Oslo, 0318, Oslo, Norway.
Consortia Oslo Breast Cancer Research Consortium (OSBREAC)
Torben LudersInstitute for Clinical Medicine, University of Oslo, 0318, Oslo, Norway.
Elin BorgenDepartment of Pathology, Oslo University Hospital, 0424, Oslo, Norway.
Vessela N KristensenDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, 0424, Oslo, Norway.
Hege G RussnesDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, 0424, Oslo, Norway.
Ole Christian LingjærdeDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, 0424, Oslo, Norway.ORCID http://orcid.org/0000-0003-3565-4912
Gordon B MillsDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77230-1429, USA.
Kristine K SahlbergDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, 0424, Oslo, Norway.
Anne-Lise Børresen-DaleDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, 0424, Oslo, Norway.
Janne LehtiöScience for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, 171 21, Solna, Sweden. janne.lehtio@ki.se.ORCID http://orcid.org/0000-0002-8100-9562
Oslo University Hospital · NOScience for Life Laboratory · SEUniversity of Oslo · NONorwegian University of Science and Technology · NOThe University of Texas MD Anderson Cancer Center · USVestre Viken Hospital Trust · NOCornell University · USKarolinska Institutet · SEKTH Royal Institute of Technology · SEOsloMet – Oslo Metropolitan University · NOØstfold Hospital Trust · NOStockholm University · SEUppsala University · SE

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
TCPA: an Integrated Bioinformatics Resource for Functional Cancer Proteomic DataU24CA209851 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LIANG, HAN, MILLS, GORDON B. · 2016 to 2020
$4.0M
Batch effects in molecular profiling data on cancers: detection, quantitation, interpretation, and correctionU24CA210949 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AKBANI, REHAN, MILLS, GORDON B. · 2016 to 2020
$1.9M
Integrated analysis of protein expression data from the Reverse Phase Protein Array (RPPA) platformU24CA210950 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AKBANI, REHAN, MILLS, GORDON B. · 2016 to 2020
$1.8M
NCI NIH HHS P30 CA016672NCI NIH HHS U24 CA209851NCI NIH HHS U24 CA210949NCI NIH HHS U24 CA210950
6 · The paper itself

Abstract

In the preceding decades, molecular characterization has revolutionized breast cancer (BC) research and therapeutic approaches. Presented herein, an unbiased analysis of breast tumor proteomes, inclusive of 9995 proteins quantified across all tumors, for the first time recapitulates BC subtypes. Additionally, poor-prognosis basal-like and luminal B tumors are further subdivided by immune component infiltration, suggesting the current classification is incomplete. Proteome-based networks distinguish functional protein modules for breast tumor groups, with co-expression of EGFR and MET marking ductal carcinoma in situ regions of normal-like tumors and lending to a more accurate classification of this poorly defined subtype. Genes included within prognostic mRNA panels have significantly higher than average mRNA-protein correlations, and gene copy number alterations are dampened at the protein-level; underscoring the value of proteome quantification for prognostication and phenotypic classification. Furthermore, protein products mapping to non-coding genomic regions are identified; highlighting a potential new class of tumor-specific immunotherapeutic targets.

Indexed as

Protein Interaction MapsBreastBreast NeoplasmsCarcinoma, Ductal, BreastDatasets as TopicDNA Copy Number VariationsFemaleGene Expression ProfilingHumansOligonucleotide Array Sequence AnalysisProteogenomicsProteomeRNA, MessengerProteomeRNA, Messenger

Identifiers

PMID30962452
PMCPMC6453966
OpenAlexW2931990777

What OpenQuestion holds

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LicenceCC BY
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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.