Evidence map›Paper›PMID 32585033›Full record

ArticleClinical and experimental pharmacology & physiology2020

A strategy for the identification of paracrine regulators of cancer cell migration.

Bernardo Chavez, Elena Farmaki, Youwen Zhang, Diego Altomare, Ji Hao, Elham Soltnamohammadi, Michael Shtutman, Ioulia Chatzistamou, Hippokratis Kiaris

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical and experimental pharmacology & physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 1 institution in 1 country.

Bernardo ChavezDepartment of Drug Discovery and Biomedical Sciences, College of Pharmacy, University of South Carolina, Columbia, SC, USA.
Elena FarmakiDepartment of Drug Discovery and Biomedical Sciences, College of Pharmacy, University of South Carolina, Columbia, SC, USA.
Youwen ZhangDepartment of Drug Discovery and Biomedical Sciences, College of Pharmacy, University of South Carolina, Columbia, SC, USA.
Diego AltomareDepartment of Drug Discovery and Biomedical Sciences, College of Pharmacy, University of South Carolina, Columbia, SC, USA.
Ji HaoDepartment of Drug Discovery and Biomedical Sciences, College of Pharmacy, University of South Carolina, Columbia, SC, USA.
Elham SoltnamohammadiDepartment of Drug Discovery and Biomedical Sciences, College of Pharmacy, University of South Carolina, Columbia, SC, USA.
Michael ShtutmanDepartment of Drug Discovery and Biomedical Sciences, College of Pharmacy, University of South Carolina, Columbia, SC, USA.
Ioulia ChatzistamouDepartment of Pathology, Microbiology and Immunology, School of Medicine, University of South Carolina, Columbia, SC, USA.
Hippokratis KiarisDepartment of Drug Discovery and Biomedical Sciences, College of Pharmacy, University of South Carolina, Columbia, SC, USA.ORCID 0000-0002-8999-8289
University of South Carolina · US

Funding

Targeting NMDA Receptors and Brain Estradiol to Rescue Memory in Aging FemalesP20GM109091 · NIGMS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI RONINSON, IGOR B · 2014 to 2024
$25.2M
NIGMS NIH HHS P20 GM109091
6 · The paper itself

Abstract

We hypothesized that the correlation of the whole transcriptome with quantifiable phenotypes may unveil genes contributing to the regulation of the corresponding response. We tested this hypothesis in cultured fibroblasts exposed to diverse pharmacological and biological agents, to identify genes influencing chemoattraction of breast cancer cells. Our analyses revealed several genes that correlated, either positively or negatively with cell migration, suggesting that they may operate as activators or inhibitors of this process. Survey of the scientific literature showed that genes exhibiting positive or negative association with cell migration had frequently been linked to cancer and metastasis before, while those with minimal association were not. The current methodology may formulate the basis for the development of novel strategies linking genes to quantifiable phenotypes.

Indexed as

Cell MovementParacrine CommunicationBreast NeoplasmsCell Line, TumorFemaleFibroblastsGene Expression Regulation, NeoplasticHumansTranscriptomecancerexpression correlationmetastasistranscriptional reprogramming

Identifiers

PMID32585033
PMCPMC7970540
OpenAlexW3037260116

What OpenQuestion holds

Textmetadata
LicenceTDM
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.