Evidence map›Paper›PMID 28031536›Full record

SynthesisOncotarget2017

Use of non-selective β-blockers is associated with decreased tumor proliferative indices in early stage breast cancer.

Alexa Montoya, Clarissa N Amaya, Andres Belmont, Nabih Diab, Richard Trevino, Geri Villanueva, Steven Rains, Luis A Sanchez, Nabeel Badri, Salman Otoukesh and 11 more

Open access · diamondAbstract readCase ReportsMeta-Analysis
In one paragraph

Synthesis in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 5 pooled it
6.1field-weighted citation impact, top 3% 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

88 citing papers in PubMed, 5 syntheses or guidelines pooled it, 112 citations in OpenAlex.

  1. Pooled it
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  6. Article
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  11. Key role of the autonomic nervous system in breast cancer (Review).Experimental and therapeutic medicine · 2026
    Review
  12. Article
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  17. Observational
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28 more citing papers are in PubMed but not listed here.

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

21 authors at 5 institutions in 1 country.

Alexa MontoyaDepartment of Biomedical Sciences, Texas Tech University Health Sciences Center, El Paso, Texas, USA.
Clarissa N AmayaDepartment of Biomedical Sciences, Texas Tech University Health Sciences Center, El Paso, Texas, USA.
Andres BelmontPaul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas, USA.
Nabih DiabPaul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas, USA.
Richard TrevinoPaul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas, USA.
Geri VillanuevaPaul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas, USA.
Steven RainsDepartment of Biomedical Sciences, Texas Tech University Health Sciences Center, El Paso, Texas, USA.
Luis A SanchezDepartment of Hematology/Oncology, Loma Linda University Health Sciences Center, Loma Linda, California, USA.
Nabeel BadriDepartment of Hematology/Oncology, Loma Linda University Health Sciences Center, Loma Linda, California, USA.
Salman OtoukeshDepartment of Hematology/Oncology, Loma Linda University Health Sciences Center, Loma Linda, California, USA.
Ali KhammanivongDepartment of Veterinary Clinical Sciences, University of Minnesota, Saint Paul, Minnesota, USA.
Danielle LissDepartment of Hematology/Oncology, Loma Linda University Health Sciences Center, Loma Linda, California, USA.
Sarah T BacaBorder Biomedical Research Center, University of Texas, El Paso, Texas, USA.
Renato J AguileraBorder Biomedical Research Center, University of Texas, El Paso, Texas, USA.
Erin B DickersonDepartment of Veterinary Clinical Sciences, University of Minnesota, Saint Paul, Minnesota, USA.
Alireza TorabiPaul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas, USA.
Alok K DwivediDepartment of Biomedical Sciences, Texas Tech University Health Sciences Center, El Paso, Texas, USA.
Aamer AbbasPaul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas, USA.
Karinn ChambersPaul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas, USA.
Brad A BryanDepartment of Biomedical Sciences, Texas Tech University Health Sciences Center, El Paso, Texas, USA.
Zeina NahlehPaul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, Texas, USA.
Texas Tech University Health Sciences Center · USLoma Linda University · USTexas Tech University · USBorder Network for Human Rights · USUniversity of Minnesota · US

Funding

TOXICOLOGY PROJECTG12RR008124 · NCRR · UNIVERSITY OF TEXAS EL PASO · PI AGUILERA, RENATO J · 1992 to 2011
$20.8M
TCCG12MD007592 · NIMHD · UNIVERSITY OF TEXAS EL PASO · PI KIRKEN, ROBERT A. · 2012 to 2018
$19.4M
RISE Scholars Program at UTEPR25GM069621 · NIGMS · UNIVERSITY OF TEXAS EL PASO · PI AGUILERA, RENATO J · 2004 to 2021
$11.2M
Characterization of novel compounds with anti-lymphoma activitySC3GM103713 · NIGMS · UNIVERSITY OF TEXAS EL PASO · PI AGUILERA, RENATO J · 2013 to 2016
$453k
NCRR NIH HHS G12 RR008124NIGMS NIH HHS R25 GM069621NIGMS NIH HHS SC3 GM103713NIMHD NIH HHS G12 MD007592
6 · The paper itself

Abstract

Previous studies suggest beta-adrenergic receptor (β-AR) antagonists (β-blockers) decrease breast cancer progression, tumor metastasis, and patient mortality; however the mechanism for this is unknown. Immunohistochemical analysis of normal and malignant breast tissue revealed overexpression of β1-AR and β3-AR in breast cancer. A retrospective cross-sectional study of 404 breast cancer patients was performed to determine the effect of β-blocker usage on tumor proliferation. Our analysis revealed that non-selective β-blockers, but not selective β-blockers, reduced tumor proliferation by 66% (p < 0.0001) in early stage breast cancer compared to non-users. We tested the efficacy of propranolol on an early stage breast cancer patient, and quantified the tumor proliferative index before and after treatment, revealing a propranolol-mediated 23% reduction (p = 0.02) in Ki67 positive tumor cells over a three-week period. The anti-proliferative effects of β-blockers were measured in a panel of breast cancer lines, demonstrating that mammary epithelial cells were resistant to propranolol, and that most breast cancer cell lines displayed dose dependent viability decreases following treatment. Selective β-blockers alone or in combination were not as effective as propranolol at reducing breast cancer cell proliferation. Molecular analysis revealed that propranolol treatment of the SK-BR-3 breast cancer line, which showed high sensitivity to beta blockade, led to a reduction in Ki67 protein expression, decreased phosphorylation of the mitogenic signaling regulators p44/42 MAPK, p38 MAPK, JNK, and CREB, increased phosphorylation of the cell survival/apoptosis regulators AKT, p53, and GSK3β. In conclusion, use of non-selective β-blockers in patients with early stage breast cancer may lead to decreased tumor proliferation.

Indexed as

Adrenergic beta-AntagonistsAdultAgedApoptosis Regulatory ProteinsBreast NeoplasmsCell Line, TumorCell ProliferationCell SurvivalCross-Sectional StudiesCyclic AMP Response Element-Binding ProteinDose-Response Relationship, DrugFemaleHumansKi-67 AntigenMiddle AgedMitogen-Activated Protein KinasesADRB1 protein, humanADRB3 protein, humanAdrenergic beta-AntagonistsApoptosis Regulatory ProteinsCREB1 protein, humanCyclic AMP Response Element-Binding ProteinKi-67 AntigenMitogen-Activated Protein KinasesPropranololReceptors, Adrenergic, beta-1Receptors, Adrenergic, beta-3beta blockerbreast cancerKi-67proliferationpropranolol

Identifiers

PMID28031536
PMCPMC5351644
OpenAlexW2566106732

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.