Evidence map›Paper›PMID 29875309›Full record

ArticleJCI insight2018

Repurposing sertraline sensitizes non-small cell lung cancer cells to erlotinib by inducing autophagy.

Xingwu Jiang, Weiqiang Lu, Xiaoyang Shen, Quan Wang, Jing Lv, Mingyao Liu, Feixiong Cheng, Zhongming Zhao, Xiufeng Pang

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
5.8field-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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 87 citations in OpenAlex.

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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

9 authors at 4 institutions in 2 countries.

Xingwu JiangShanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China.
Weiqiang LuShanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China.
Xiaoyang ShenShanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China.
Quan WangDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Jing LvShanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China.
Mingyao LiuShanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China.
Feixiong ChengCenter for Cancer Systems Biology and Department of Cancer Biology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA.
Zhongming ZhaoDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Xiufeng PangShanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China.
East China Normal University · CNVanderbilt University · USNortheastern University · USTexas A&M Health Science Center · US

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MATTHEW J TYSKA · 1995 to 2026
$172.8M
Transforming dbGaP genetic and genomic data to FAIR-ready by artificial intelligence and machine learning algorithmsR01LM012806 · NLM · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Zhongming Zhao · 2017 to 2026
$3.7M
Mapping the Genetic Architecture of Complex Disease via RNA-seq and GWAS DataR01LM011177 · NLM · VANDERBILT UNIVERSITY · PI ZHAO, ZHONGMING · 2012 to 2014
$1.0M
An individualized network medicine infrastructure for precision cardio-oncologyK99HL138272 · NHLBI · NORTHEASTERN UNIVERSITY · PI CHENG, FEIXIONG · 2017 to 2017
$86k
NCI NIH HHS P30 CA068485NHLBI NIH HHS K99 HL138272NLM NIH HHS R01 LM011177NLM NIH HHS R01 LM012806
6 · The paper itself

Abstract

Lung cancer patients treated with tyrosine kinase inhibitors (TKIs) often develop resistance. More effective and safe therapeutic agents are urgently needed to overcome TKI resistance. Here, we propose a medical genetics-based approach to identify indications for over 1,000 US Food and Drug Administration-approved (FDA-approved) drugs with high accuracy. We identified a potentially novel indication for an approved antidepressant drug, sertraline, for the treatment of non-small cell lung cancer (NSCLC). We found that sertraline inhibits the viability of NSCLC cells and shows a synergy with erlotinib. Specifically, the cotreatment of sertraline and erlotinib effectively promotes autophagic flux in cells, as indicated by LC3-II accumulation and autolysosome formation. Mechanistic studies further reveal that dual treatment of sertraline and erlotinib reciprocally regulates the AMPK/mTOR pathway in NSCLC cells. The blockade of AMPK activation decreases the anticancer efficacy of either sertraline alone or the combination. Efficacy of this combination regimen is decreased by pharmacological inhibition of autophagy or genetic knockdown of ATG5 or Beclin 1. Importantly, our results suggest that sertraline and erlotinib combination suppress tumor growth and prolong mouse survival in an orthotopic NSCLC mouse model (P = 0.0005). In summary, our medical genetics-based approach facilitates discovery of new anticancer indications for FDA-approved drugs for the treatment of NSCLC.

Indexed as

Adenylate KinaseAnimalsAntineoplastic Combined Chemotherapy ProtocolsAutophagyCarcinoma, Non-Small-Cell LungCell Line, TumorCell SurvivalDrug RepositioningDrug Resistance, NeoplasmDrug SynergismErlotinib HydrochlorideHumansLung NeoplasmsMaleMiceSertralineAdenylate KinaseErlotinib HydrochlorideMTOR protein, humanSertralineTOR Serine-Threonine KinasesAutophagyLung cancerOncologyTherapeutics

Identifiers

PMID29875309
PMCPMC6124398
OpenAlexW2805856240

What OpenQuestion holds

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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.