Evidence map›Paper›PMID 38922530›Full record

ArticleDaru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences2024

Repurposing metformin as a potential anticancer agent using in silico technique.

Mona Mahfauz, Ozel Yuruker, Rasime Kalkan

Abstract read
In one paragraph

Article in Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

3 authors.

Mona MahfauzFaculty of Pharmacy, Cyprus Health and Social Sciences University, Güzelyurt, Cyprus.ORCID http://orcid.org/0009-0005-7442-2235
Ozel YurukerFaculty of Pharmacy, Cyprus Health and Social Sciences University, Güzelyurt, Cyprus. ozel.yuruker@yahoo.com.ORCID http://orcid.org/0000-0002-9770-0761
Rasime KalkanFaculty of Medicine, European University of Lefke, Mersin 10, Lefke, 99728, Northern Cyprus, Turkey.ORCID http://orcid.org/0000-0002-6095-7352

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe focus on repurposing readily available, well-known drugs for new, creative uses has grown recently. One such medication is metformin, a drug commonly used to manage diabetes, which shows a favorable correlation between its use and lower cancer morbidity and death. Numerous investigations and clinical trials have been conducted to evaluate the possible application of metformin as an anticancer medication in light of this conclusion.

objectiveThis study used 'pathway/gene-set analysis' Gene2drug, a resource for Gene Ontology (GO), and DepMap to determine whether metformin would be potentially advantageous for treating cancer.

methodsA total of 1826 tumor cell lines were analyzed using the Drug Sensitivity (Primary Purposing Primary Screening) 19Q4 Tool.

results9 genes from 402 genes, SGPL1, CXCR6, ATXN2L, LAMP3, RTN3, BTN2A1, FOXM1, NQO1, and L1TD1 in 1826 cancer cell line showed statistical sensitivity to metformin.

conclusionThis in-silico study showed the sensitivity of specific cancer cell lines to metformin. Therefore, holding promises for metformin and tumor-targeted treatment strategies. It is recommended, however, to conduct further research into its potential effectiveness and mechanism of action.

Indexed as

Antineoplastic AgentsComputer SimulationDrug RepositioningMetforminCell Line, TumorHumansNeoplasmsAntineoplastic AgentsMetforminCancerDrug repurposingIn-silicoMetformin

Identifiers

PMID38922530
PMCPMC11554977

What OpenQuestion holds

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Registered trials

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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.