Evidence map›Paper›PMID 31035526›Full record

ArticleJournal of clinical medicine2019

Effects of β-Adrenergic Antagonists on Chemoradiation Therapy for Locally Advanced Non-Small Cell Lung Cancer.

Kunal R Chaudhary, Sherry X Yan, Samuel P Heilbroner, Joshua R Sonett, Mark B Stoopler, Catherine Shu, Balazs Halmos, Tony J C Wang, Tom K Hei, Simon K Cheng

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Molecular mechanisms and therapeutic targets in lung cancer-nerve crosstalk.Chinese medical journal pulmonary and critical care medicine · 2026
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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

10 authors at 3 institutions in 1 country.

Kunal R ChaudharyDepartment of Radiation Oncology, Vagelos College of Physicians & Surgeons, Columbia University Irving Medical Center, New York, NY 10032, USA. kc2849@cumc.columbia.edu.
Sherry X YanDepartment of Radiation Oncology, Vagelos College of Physicians & Surgeons, Columbia University Irving Medical Center, New York, NY 10032, USA. sherry.yan@nyumc.org.ORCID 0000-0002-9979-2030
Samuel P HeilbronerDepartment of Radiation Oncology, Vagelos College of Physicians & Surgeons, Columbia University Irving Medical Center, New York, NY 10032, USA. sam.heilbroner@gmail.com.ORCID 0000-0003-0036-5440
Joshua R SonettDivision of Cardiac, Vascular and Thoracic Surgery, Department of Surgery, Vagelos College of Physicians & Surgeons, Columbia University Irving Medical Center, New York, NY 10032, USA. js2106@cumc.columbia.edu.
Mark B StooplerHerbert Irving Comprehensive Cancer Center, New York Presbyterian Hospital-Columbia University Irving Medical Center, New York, NY 10032, USA. mbs5@cumc.columbia.edu.
Catherine ShuHerbert Irving Comprehensive Cancer Center, New York Presbyterian Hospital-Columbia University Irving Medical Center, New York, NY 10032, USA. cas2145@cumc.columbia.edu.
Balazs HalmosHerbert Irving Comprehensive Cancer Center, New York Presbyterian Hospital-Columbia University Irving Medical Center, New York, NY 10032, USA. bahalmos@montefiore.org.
Tony J C WangDepartment of Radiation Oncology, Vagelos College of Physicians & Surgeons, Columbia University Irving Medical Center, New York, NY 10032, USA. tjw2117@cumc.columbia.edu.ORCID 0000-0001-5809-3025
Tom K HeiCenter for Radiological Research, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA. tkh1@cumc.columbia.edu.
Simon K ChengDepartment of Radiation Oncology, Vagelos College of Physicians & Surgeons, Columbia University Irving Medical Center, New York, NY 10032, USA. sc3225@cumc.columbia.edu.
NewYork–Presbyterian Hospital · USColumbia University · USAlbert Einstein College of Medicine · US

Funding

Louis V. Gerstner, Jr. Scholar Award N/ALUNGevity Foundation Targeted Therapeutics Award N/AResearch Donation from Barry Neustein N/A
6 · The paper itself

Abstract

introductionLocally advanced non-small cell lung cancer (NSCLC) is highly resistant to chemoradiotherapy, and many cancer patients experience chronic stress. Studies that suggest stimulation of β-adrenergic receptors (β-AR) promotes tumor invasion and therapy resistance. We investigated whether β-AR inhibition with beta-blockers acts as a chemotherapy and radiation sensitizer in vitro and in patients treated with chemoradiation for locally advanced NSCLC.

methodsWe investigated the effects of the non-selective beta-blocker propranolol on two human lung adenocarcinoma cell lines (PC9, A549) treated with radiation or cisplatin. We retrospectively evaluated 77 patients with Stage IIIA NSCLC who received induction chemoradiation followed by surgery. Pathological and imaging response, metastatic rate, and survival were analyzed using SPSS v22.0 and PrismGraphpad6.

resultsPropranolol combined with radiation or cisplatin decreased clonogenic survival of PC9 and A549 cells in vitro (

conclusionsβ-AR blockade enhanced radiation and cisplatin sensitivity of human lung cancer cells in vitro. Use of beta-blockers is associated with decreased distant metastases and potentially improved OS and DMFS. Additional studies are warranted to evaluate the role of beta-blockers as a chemoradiation sensitizer in locally advanced NSCLC.

Indexed as

beta-blockerchemotherapynon-small cell lung cancerradiationrepurposed drugssensitivity

Identifiers

PMID31035526
PMCPMC6572477
OpenAlexW2941617983

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.