Evidence map›Paper›PMID 36477027›Full record

ArticleNature communications2022

Phosphoproteomic analysis of neoadjuvant breast cancer suggests that increased sensitivity to paclitaxel is driven by CDK4 and filamin A.

S Mouron, M J Bueno, A Lluch, L Manso, I Calvo, J Cortes, J A Garcia-Saenz, M Gil-Gil, N Martinez-Janez, J V Apala and 17 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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
  8. Review
  9. Omics Technologies Improving Breast Cancer Research and Diagnostics.International journal of molecular sciences · 2023
    Review
  10. Review
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

27 authors at 11 institutions in 1 country.

S MouronBreast Cancer Clinical Research Unit Centro Nacional de Investigaciones Oncológicas - CNIO, Madrid, Spain.
M J BuenoBreast Cancer Clinical Research Unit Centro Nacional de Investigaciones Oncológicas - CNIO, Madrid, Spain.ORCID 0000-0002-3910-0637
A LluchMedical Oncology Department, Hospital Clínico Universitario, Valencia, Spain.ORCID 0000-0003-2766-407X
L MansoMedical Oncology Department, Hospital Universitario 12 de Octubre, Madrid, Spain.ORCID 0000-0002-1683-550X
I CalvoMedical Oncology Department MD, Anderson Cancer Center Madrid, Madrid, Spain.
J CortesInternational Breast Cancer Center Quiron Group, Barcelona, Spain.ORCID 0000-0001-7623-1583
J A Garcia-SaenzMedical Oncology Department, Hospital Clinico San Carlos, Madrid, Spain.ORCID 0000-0001-6880-0301
M Gil-GilMedical Oncoogy Department Institut, Catala d'Oncologia-IDIBELL L'Hospitalet de, Llobregat, Spain.
N Martinez-JanezMedical Oncology Department, Hospital Universitario Ramon y Cajal, Madrid, Spain.
J V ApalaBreast Cancer Clinical Research Unit Centro Nacional de Investigaciones Oncológicas - CNIO, Madrid, Spain.
E CaleirasHistopathology Unit Centro Nacional de Investigaciones Oncológicas - CNIO, Madrid, Spain.
Pilar Ximénez-EmbúnProteomics Unit Centro Nacional de Investigaciones Oncológicas - CNIO, Madrid, Spain.ORCID 0000-0002-2582-9443
J MuñozProteomics Unit Centro Nacional de Investigaciones Oncológicas - CNIO, Madrid, Spain.
L Gonzalez-CortijoMedical Oncology Department, Hospital Universitario Quironsalud, Madrid, Spain.
R MurilloPathology Department, Hospital Universitario Quironsalud, Madrid, Spain.
R Sánchez-BayonaMedical Oncology Department, Hospital Universitario 12 de Octubre, Madrid, Spain.
J M CejalvoMedical Oncology Department, Hospital Clínico Universitario, Valencia, Spain.
G Gómez-LópezBioinformatics Unit Centro Nacional de Investigaciones Oncológicas - CNIO, Madrid, Spain.
C Fustero-TorreBioinformatics Unit Centro Nacional de Investigaciones Oncológicas - CNIO, Madrid, Spain.ORCID 0000-0001-5504-4164
S Sabroso-LasaGenetic & Molecular Epidemiology Group Centro Nacional de Investigaciones Oncológicas - CNIO, Madrid, Spain.ORCID 0000-0001-7002-556X
N MalatsGenetic & Molecular Epidemiology Group Centro Nacional de Investigaciones Oncológicas - CNIO, Madrid, Spain.ORCID 0000-0003-2538-3784
M MartinezPathology Department, Hospital Universitario 12 de Octubre, Madrid, Spain.
A MorenoPathology Department, Hospital Universitario de Fuenlabrada, Madrid, Spain.
D MegiasConfocal Microscopy Unit Centro Nacional de Investigaciones Oncológicas - CNIO, Madrid, Spain.
M MalumbresCell Division and Cancer Group Centro Nacional de Investigaciones Oncológicas - CNIO, Madrid, Spain.ORCID 0000-0002-0829-6315
R ColomerMedical Oncology Department, Hospital Universitario La Princesa, Madrid, Spain.ORCID 0000-0002-6393-3444
M Quintela-FandinoBreast Cancer Clinical Research Unit Centro Nacional de Investigaciones Oncológicas - CNIO, Madrid, Spain. mquintela@cnio.es.ORCID 0000-0003-1648-1964
Spanish National Cancer Research Centre · ESHospital Universitario 12 De Octubre · ESHospital Clínico Universitario de Valencia · ESHospital Universitario Quirónsalud Madrid · ESHospital Clínico San Carlos · ESHospital Universitario de Fuenlabrada · ESHospital Universitario de La Princesa · ESHospital Universitario Ramón y Cajal · ESInstitut d'Investigació Biomédica de Bellvitge · ESMD Anderson Cancer Center Madrid · ESVall d'Hebron Hospital Universitari · ES

Funding

NIMHD NIH HHS L60 MD003733
6 · The paper itself

Abstract

Precision oncology research is challenging outside the contexts of oncogenic addiction and/or targeted therapies. We previously showed that phosphoproteomics is a powerful approach to reveal patient subsets of interest characterized by the activity of a few kinases where the underlying genomics is complex. Here, we conduct a phosphoproteomic screening of samples from HER2-negative female breast cancer receiving neoadjuvant paclitaxel (N = 130), aiming to find candidate biomarkers of paclitaxel sensitivity. Filtering 11 candidate biomarkers through 2 independent patient sets (N = 218) allowed the identification of a subgroup of patients characterized by high levels of CDK4 and filamin-A who had a 90% chance of achieving a pCR in response to paclitaxel. Mechanistically, CDK4 regulates filamin-A transcription, which in turn forms a complex with tubulin and CLIP-170, which elicits increased binding of paclitaxel to microtubules, microtubule acetylation and stabilization, and mitotic catastrophe. Thus, phosphoproteomics allows the identification of explainable factors for predicting response to paclitaxel.

Indexed as

Breast NeoplasmsPaclitaxelCyclin-Dependent Kinase 4FemaleFilaminsGenomicsHumansPrecision MedicineCDK4 protein, humanCyclin-Dependent Kinase 4FilaminsFLNA protein, humanPaclitaxel

Identifiers

PMID36477027
PMCPMC9729295
OpenAlexW4311578043

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.