Evidence map›Paper›PMID 30157799›Full record

ArticleBMC cancer2018

An in-silico study examining the induction of apoptosis by Cryptotanshinone in metastatic melanoma cell lines.

Radhika S Saraf, Aniruddha Datta, Chao Sima, Jianping Hua, Rosana Lopes, Michael Bittner

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Salviolone fromInternational journal of molecular sciences · 2022
    Article
  3. Drug target ranking for glioblastoma multiforme.BMC biomedical engineering · 2021
    Article
  4. Review
  5. Article
  6. Review
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

6 authors at 2 institutions in 1 country.

Radhika S SarafDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, US. saraf.radhika@tamu.edu.ORCID http://orcid.org/0000-0002-3026-3421
Aniruddha DattaDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, US.
Chao SimaTEES-AgriLife Center for Bioinformatics and Genomic Systems Engineering (CBGSE), College Station, US.
Jianping HuaTEES-AgriLife Center for Bioinformatics and Genomic Systems Engineering (CBGSE), College Station, US.
Rosana LopesTEES-AgriLife Center for Bioinformatics and Genomic Systems Engineering (CBGSE), College Station, US.
Michael BittnerTEES-AgriLife Center for Bioinformatics and Genomic Systems Engineering (CBGSE), College Station, US.
Texas A&M University · USTranslational Genomics Research Institute · US

Funding

National Science Foundation ECCS-1404314National Science Foundation ECCS-1609236
6 · The paper itself

Abstract

backgroundMetastatic melanoma is an aggressive form of skin cancer that evades various anti-cancer treatments including surgery, radio-,immuno- and chemo-therapy. TRAIL-induced apoptosis is a desirable method to treat melanoma since, unlike other treatments, it does not harm non-cancerous cells. The pro-inflammatory response to melanoma by nF κB and STAT3 pathways makes the cancer cells resist TRAIL-induced apoptosis. We show that due to to its dual action on DR5, a death receptor for TRAIL and on STAT3, Cryptotanshinone can be used to increase sensitivity to TRAIL.

methodsThe development of chemoresistance and invasive properties in melanoma cells involves several biological pathways. The key components of these pathways are represented as a Boolean network with multiple inputs and multiple outputs.

resultsThe possible mutations in genes that can lead to cancer are captured by faults in the combinatorial circuit and the model is used to theoretically predict the effectiveness of Cryptotanshinone for inducing apoptosis in melanoma cell lines. This prediction is experimentally validated by showing that Cryptotanshinone can cause enhanced cell death in A375 melanoma cells.

conclusionThe results presented in this paper facilitate a better understanding of melanoma drug resistance. Furthermore, this framework can be used to detect additional drug intervention points in the pathway that could amplify the action of Cryptotanshinone.

Indexed as

Models, BiologicalAlgorithmsApoptosisBiomarkersCell Line, TumorComputational BiologyComputer SimulationDrugs, Chinese HerbalGene Expression ProfilingHumansMelanomaMitochondriaNF-kappa BPhenanthrenesReproducibility of ResultsSignal TransductionBiomarkerscryptotanshinoneDrugs, Chinese HerbalNF-kappa BPhenanthrenesBoolean networksCryptotanshinoneMelanomaStat3Trail

Identifiers

PMID30157799
PMCPMC6116360
OpenAlexW2888885143

What OpenQuestion holds

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LicenceCC BY
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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.