Evidence map›Paper›PMID 34062782›Full record

ReviewCells2021

Microtubule-Associated Protein ATIP3, an Emerging Target for Personalized Medicine in Breast Cancer.

Maria M Haykal, Sylvie Rodrigues-Ferreira, Clara Nahmias

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. The Angiotensin ATPharmacological reviews · 2022
    Review
  8. 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

3 authors at 1 institution in 1 country.

Maria M HaykalInstitut Gustave Roussy, Université Paris-Saclay, Inserm U981, Biomarqueurs Prédictifs et Nouvelles Stratégies Thérapeutiques en Oncologie, 94800 Villejuif, France.
Sylvie Rodrigues-FerreiraInstitut Gustave Roussy, Université Paris-Saclay, Inserm U981, Biomarqueurs Prédictifs et Nouvelles Stratégies Thérapeutiques en Oncologie, 94800 Villejuif, France.
Clara NahmiasInstitut Gustave Roussy, Université Paris-Saclay, Inserm U981, Biomarqueurs Prédictifs et Nouvelles Stratégies Thérapeutiques en Oncologie, 94800 Villejuif, France.ORCID 0000-0001-6863-370X
Inserm · FR

Funding

Agence Nationale de la Recherche MMO ANR-10-IBHU-0001
6 · The paper itself

Abstract

Breast cancer is the leading cause of death by malignancy among women worldwide. Clinical data and molecular characteristics of breast tumors are essential to guide clinician's therapeutic decisions. In the new era of precision medicine, that aims at personalizing the treatment for each patient, there is urgent need to identify robust companion biomarkers for new targeted therapies. This review focuses on ATIP3, a potent anti-cancer protein encoded by candidate tumor suppressor gene

Indexed as

AnimalsAntineoplastic AgentsBiomarkersBiomarkers, TumorBreast NeoplasmsHumansMiceMicrotubule-Associated ProteinsMicrotubulesPrecision MedicinePrognosisTaxoidsTumor Suppressor ProteinsAntineoplastic AgentsBiomarkersBiomarkers, TumorMicrotubule-Associated ProteinsMTUS1 protein, humanTaxoidsTumor Suppressor Proteinsbreast cancerchemotherapymicrotubuleMTUS1predictive biomarkerprognostic biomarkertargeted therapytaxanestumor suppressor

Identifiers

PMID34062782
PMCPMC8147298
OpenAlexW3159601294

What Socratic 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 Socratic graph.