Evidence map›Paper›PMID 36551699›Full record

ArticleCancers2022

Metabolomic and Mitochondrial Fingerprinting of the Epithelial-to-Mesenchymal Transition (EMT) in Non-Tumorigenic and Tumorigenic Human Breast Cells.

Elisabet Cuyàs, Salvador Fernández-Arroyo, Sara Verdura, Ruth Lupu, Jorge Joven, Javier A Menendez

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

6 authors at 4 institutions in 2 countries.

Elisabet CuyàsMetabolism and Cancer Group, Program Against Cancer Therapeutic Resistance (ProCURE), Catalan Institute of Oncology, 17005 Girona, Spain.ORCID 0000-0001-5353-440X
Salvador Fernández-ArroyoEurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences, Joint Unit Eurecat-Universitat Rovira I Virgili, Unique Scientific and Technical Infrastructure (ICTS), 43204 Reus, Spain.ORCID 0000-0003-0147-1712
Sara VerduraMetabolism and Cancer Group, Program Against Cancer Therapeutic Resistance (ProCURE), Catalan Institute of Oncology, 17005 Girona, Spain.ORCID 0000-0001-8980-0423
Ruth LupuDepartment of Laboratory Medicine and Pathology, Division of Experimental Pathology, Mayo Clinic, Rochester, MN 55905, USA.
Jorge JovenUnitat de Recerca Biomèdica (URB-CRB), Hospital Universitari de Sant Joan, Institut d'Investigació Sanitaria Pere Virgili, Universitat Rovira I Virgili, 43204 Reus, Spain.ORCID 0000-0003-2749-4541
Javier A MenendezMetabolism and Cancer Group, Program Against Cancer Therapeutic Resistance (ProCURE), Catalan Institute of Oncology, 17005 Girona, Spain.ORCID 0000-0001-8733-4561
Institut Català d'Oncologia · ESCentre for Omic Sciences · ESInstitut de Recerca Biomèdica Catalunya Sud · ESMayo Clinic · US

Funding

Instituto de Salud Carlos III CP20/00003Instituto de Salud Carlos III PI22/00297Spanish Ministry of Science and Innovation PID2019-10455GB-I00
6 · The paper itself

Abstract

Epithelial-to-mesenchymal transition (EMT) is key to tumor aggressiveness, therapy resistance, and immune escape in breast cancer. Because metabolic traits might be involved along the EMT continuum, we investigated whether human breast epithelial cells engineered to stably acquire a mesenchymal phenotype in non-tumorigenic and H-Ras

Indexed as

breast cancercomplex IIImetabolismmitochondriaphenotypic screeningtherapy resistance

Identifiers

PMID36551699
PMCPMC9776482
OpenAlexW4312140870

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.