Evidence map›Paper›PMID 30158526›Full record

ArticleNature communications2018

In vivo phosphoproteomics reveals kinase activity profiles that predict treatment outcome in triple-negative breast cancer.

Ivana Zagorac, Sara Fernandez-Gaitero, Renske Penning, Harm Post, Maria J Bueno, Silvana Mouron, Luis Manso, Manuel M Morente, Soledad Alonso, Violeta Serra and 15 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

32 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Distribution of PD-L1, TROP2 and HER2- "lowness" in early triple-negative breast cancer: an opportunity for treatment de-escalation.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Article
  6. Omics-Based Investigations of Breast Cancer.Molecules (Basel, Switzerland) · 2023
    Review
  7. Article
  8. Tumor P70S6K hyperactivation is inversely associated with tumor-infiltrating lymphocytes in triple-negative breast cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Proteomics and its applications in breast cancer.American journal of cancer research · 2021
    Review
  20. Article
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

25 authors at 9 institutions in 3 countries.

Ivana ZagoracBreast Cancer Clinical Research Unit, CNIO - Spanish National Cancer Research Center, 28029, Madrid, Spain.
Sara Fernandez-GaiteroBreast Cancer Clinical Research Unit, CNIO - Spanish National Cancer Research Center, 28029, Madrid, Spain.
Renske PenningBiomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands.
Harm PostBiomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands.
Maria J BuenoBreast Cancer Clinical Research Unit, CNIO - Spanish National Cancer Research Center, 28029, Madrid, Spain.
Silvana MouronBreast Cancer Clinical Research Unit, CNIO - Spanish National Cancer Research Center, 28029, Madrid, Spain.
Luis MansoMedical Oncology, Hospital 12 de Octubre, Madrid, 28029, Spain.ORCID http://orcid.org/0000-0002-1683-550X
Manuel M MorenteBiobank, CNIO - Spanish National Cancer Research Center, Madrid, 28029, Spain.
Soledad AlonsoPathology Department, Hospital Universitario de Guadalajara, Guadalajara, 19002, Spain.
Violeta SerraExperimental Therapeutics Group, VHIO - Vall d'Hebron Institute of Oncology, Barcelona, 08035, Spain.ORCID http://orcid.org/0000-0001-6620-1065
Javier MuñozProteomics Unit, CNIO - Spanish National Cancer Research Center, Madrid, 28029, Spain.
Gonzalo Gómez-LópezBioinformatics Unit, CNIO - Spanish National Cancer Research Center, Madrid, 28029, Spain.
Jose Francisco Lopez-AcostaBreast Cancer Clinical Research Unit, CNIO - Spanish National Cancer Research Center, 28029, Madrid, Spain.
Veronica Jimenez-RenardBreast Cancer Clinical Research Unit, CNIO - Spanish National Cancer Research Center, 28029, Madrid, Spain.
Albert Gris-OliverExperimental Therapeutics Group, VHIO - Vall d'Hebron Institute of Oncology, Barcelona, 08035, Spain.
Fatima Al-ShahrourBioinformatics Unit, CNIO - Spanish National Cancer Research Center, Madrid, 28029, Spain.
Elena Piñeiro-YañezBioinformatics Unit, CNIO - Spanish National Cancer Research Center, Madrid, 28029, Spain.
Jose Luis Montoya-SuarezMedical Oncology, Hospital Nacional Guillermo Almenara Irigoyen - ESSALUD, Lima, 15033, Peru.
Juan V ApalaBreast Cancer Clinical Research Unit, CNIO - Spanish National Cancer Research Center, 28029, Madrid, Spain.
Amalia Moreno-TorresPathology Department, Hospital Universitario de Fuenlabrada, Fuenlabrada, 28942, Spain.
Ramon ColomerMedical Oncology, Hospital La Princesa, Madrid, 28006, Spain.
Ana DopazoGenomics Unit, CNIC - Spanish National Center for Cardiovascular Research, Madrid, 28029, Spain.
Albert J R HeckBiomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0002-2405-4404
Maarten AltelaarBiomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands.
Miguel Quintela-FandinoBreast Cancer Clinical Research Unit, CNIO - Spanish National Cancer Research Center, 28029, Madrid, Spain. mquintela@cnio.es.
Spanish National Cancer Research Centre · ESUtrecht University · NLVall d'Hebron Institute of Oncology · ESHospital Base Guillermo Almenara Irigoyen · PEHospital Universitario de Fuenlabrada · ESHospital Universitario de Guadalajara · ESHospital Universitario de La Princesa · ESResearch Institute Hospital 12 de Octubre · ESSpanish National Centre for Cardiovascular Research · ES

Funding

Ministerio de Sanidad, Servicios Sociales e Igualdad (Ministry of Health, Social Services and Equality) CP14/00228
6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) lacks prognostic and predictive markers. Here, we use high-throughput phosphoproteomics to build a functional TNBC taxonomy. A cluster of 159 phosphosites is upregulated in relapsed cases of a training set (n = 34 patients), with 11 hyperactive kinases accounting for this phosphoprofile. A mass-spectrometry-to-immunohistochemistry translation step, assessing 2 independent validation sets, reveals 6 kinases with preserved independent prognostic value. The kinases split the validation set into two patterns: one without hyperactive kinases being associated with a >90% relapse-free rate, and the other one showing ≥1 hyperactive kinase and being associated with an up to 9.5-fold higher relapse risk. Each kinase pattern encompasses different mutational patterns, simplifying mutation-based taxonomy. Drug regimens designed based on these 6 kinases show promising antitumour activity in TNBC cell lines and patient-derived xenografts. In summary, the present study elucidates phosphosites and kinases implicated in TNBC and suggests a target-based clinical classification system for TNBC.

Indexed as

Cell Line, TumorFemaleHumansImmunohistochemistryKaplan-Meier EstimateMass SpectrometryPhosphoproteinsPhosphotransferasesTreatment OutcomeTriple Negative Breast NeoplasmsPhosphoproteinsPhosphotransferases

Identifiers

PMID30158526
PMCPMC6115463
OpenAlexW2622112401

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.