Evidence map›Paper›PMID 32494122›Full record

ArticleDrug design, development and therapy2020

Pranlukast Antagonizes CD49f and Reduces Stemness in Triple-Negative Breast Cancer Cells.

Inés Velázquez-Quesada, Angel J Ruiz-Moreno, Diana Casique-Aguirre, Charmina Aguirre-Alvarado, Fabiola Cortés-Mendoza, Marisol de la Fuente-Granada, Carlos García-Pérez, Sonia M Pérez-Tapia, Aliesha González-Arenas, Aldo Segura-Cabrera and 1 more

Open access · goldAbstract read
In one paragraph

Article in Drug design, development and therapy, 2020. 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
0.4field-weighted citation impact, top 37% 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, 14 citations in OpenAlex.

  1. Review
  2. PD-L1Journal of translational medicine · 2025
    Article
  3. Anti-cancer agents in medicinal chemistry · 2025
    Article
  4. Review
  5. Frontiers in pharmacology · 2024
    Article
  6. Review
  7. 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

11 authors at 4 institutions in 3 countries.

Inés Velázquez-QuesadaDepartment of Pharmacology, School of Medicine, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Angel J Ruiz-MorenoDepartment of Pharmacology, School of Medicine, Universidad Nacional Autónoma de México, Mexico City, Mexico.ORCID 0000-0002-2798-5386
Diana Casique-AguirreDepartment of Pharmacology, School of Medicine, Universidad Nacional Autónoma de México, Mexico City, Mexico.ORCID 0000-0001-5580-2551
Charmina Aguirre-AlvaradoDepartment of Pharmacology, School of Medicine, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Fabiola Cortés-MendozaDepartment of Pharmacology, School of Medicine, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Marisol de la Fuente-GranadaDepartment of Genomic Medicine and Environmental Toxicology, Institute for Biomedical Research, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Carlos García-PérezCenter for Genomic Biotechnology, Instituto Politécnico Nacional, Reynosa, Tamaulipas, Mexico.
Sonia M Pérez-TapiaResearch and Development in Bioprocess Unit, National School of Biological Sciences, Instituto Politécnico Nacional, Mexico City, Mexico.ORCID 0000-0002-2818-8522
Aliesha González-ArenasDepartment of Genomic Medicine and Environmental Toxicology, Institute for Biomedical Research, Universidad Nacional Autónoma de México, Mexico City, Mexico.ORCID 0000-0002-9506-3180
Aldo Segura-CabreraEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.
Marco A Velasco-VelázquezDepartment of Pharmacology, School of Medicine, Universidad Nacional Autónoma de México, Mexico City, Mexico.ORCID 0000-0001-9717-0265
Universidad Nacional Autónoma de México · MXInstituto Politécnico Nacional · MXEuropean Bioinformatics Institute · GBUniversity of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCancer stem cells (CSCs) drive the initiation, maintenance, and therapy response of breast tumors. CD49f is expressed in breast CSCs and functions in the maintenance of stemness. Thus, blockade of CD49f is a potential therapeutic approach for targeting breast CSCs. In the present study, we aimed to repurpose drugs as CD49f antagonists. MATERIALS AND

methodsWe performed consensus molecular docking using a subdomain of CD49f that is critical for heterodimerization and a collection of pharmochemicals clinically tested. Molecular dynamics simulations were employed to further characterize drug-target binding. Using MDA-MB-231 cells, we evaluated the effects of potential CD49f antagonists on 1) cell adhesion to laminin; 2) mammosphere formation; and 3) cell viability. We analyzed the effects of the drug with better CSC-selectivity on the activation of CD49f-downstream signaling by Western blot (WB) and co-immunoprecipitation. Expressions of the stem cell markers CD44 and SOX2 were analyzed by flow cytometry and WB, respectively. Transactivation of

resultsPranlukast, a drug used to treat asthma, bound to CD49f in silico and inhibited the adhesion of CD49f

conclusionOur results support the function of pranlukast as a CD49f antagonist that reduces the CSC population in triple-negative breast cancer cells. The pharmacokinetics and toxicology of this drug have already been established, rendering a potential adjuvant therapy for breast cancer patients.

Indexed as

Antineoplastic AgentsBreast NeoplasmsChromonesDrug Screening Assays, AntitumorHumansIntegrin alpha6Molecular Docking SimulationMolecular Dynamics SimulationNeoplastic Stem CellsTriple Negative Breast NeoplasmsTumor Cells, CulturedAntineoplastic AgentsChromonesIntegrin alpha6pranlukastalpha6 integrinbreast cancer stem cellsCD49fdrug repositioningpranlukasttriple-negative breast cancer cells

Identifiers

PMID32494122
PMCPMC7229803
OpenAlexW3022334763

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.