Evidence map›Paper›PMID 41150737›Full record

ArticleCurrent issues in molecular biology2025

In Silico Multitarget Profiling of Non-Selective Beta-Blockers Highlights Their Potential as Key Agents in Breast Cancer Adjuvant Therapy via ADRB2, ERBB2, and NPYR Receptors.

Felipe Muñoz-González, José Correa-Basurto, Iván Ignacio-Mejia, Cindy Bandala

Abstract read
In one paragraph

Article in Current issues in molecular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

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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

4 authors.

Felipe Muñoz-GonzálezLaboratorio de Diseño y Desarrollo de Nuevos Fármacos e Innovación Biotecnológica, SEPI-ESM, Instituto Politécnico Nacional, Mexico City 11340, Mexico.ORCID 0000-0002-4221-9479
José Correa-BasurtoLaboratorio de Diseño y Desarrollo de Nuevos Fármacos e Innovación Biotecnológica, SEPI-ESM, Instituto Politécnico Nacional, Mexico City 11340, Mexico.
Iván Ignacio-MejiaLaboratorio de Neurociencia Traslacional, Escuela Superior de Medicina, Instituto Politécnico Nacional, Mexico City 11340, Mexico.ORCID 0000-0003-3792-4613
Cindy BandalaLaboratorio de Neurociencia Traslacional, Escuela Superior de Medicina, Instituto Politécnico Nacional, Mexico City 11340, Mexico.ORCID 0000-0002-7414-2621

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) is associated with multiple molecular factors such as overexpression of the beta-2 adrenergic receptor (ADRB2) and the overproduction of its agonists (norepinephrine and epinephrine). The role of adrenergic signaling in BC highlights the therapeutic potential of non-selective beta-blockers (nsBBs) as inhibitors of well-established protumor signaling pathways related to ADRB2 and their possible affinity for other important protumoral receptors. Our aim was to identify how nsBBs currently prescribed may also interact with receptors other than ADRB2, which are related to the pathophysiology of BC, using bioinformatic intracellular pathway analysis (BIPA). Subsequently, the affinity of nsBBs for both ADRB2 and the targets identified by BIPA was evaluated. We found that, beyond ADRB2, both receptor tyrosine kinase 2 (ERBB2) and neuropeptide Y receptor (NPYR) are promising targets for nsBBs in the adjuvant treatment of BC, according to BIPA. Docking studies showed that the nsBB with the highest binding affinity (ΔG) was carvedilol (-10.5 kcal/mol), followed by propranolol (-8.5 kcal/mol). These in silico findings suggest previously unrecognized pharmacological mechanisms for nsBBs in the possible treatment for BC. Notably, differences in receptor affinity were observed among the nsBBs, with carvedilol exhibiting the strongest binding affinity values on ADRB2, ERBB2, and NPYR as biological targets against BC cells. These promising results require future experimental validation.

Indexed as

beta-blockersbreast cancerdrug repurposing

Identifiers

PMID41150737
PMCPMC12564330

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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.