Evidence map›Paper›PMID 39217242›Full record

ArticleScientific reports2024

The molecular basis of the anticancer effect of statins.

Giovanni Buccioli, Carolina Testa, Emanuela Jacchetti, Pietro Pinoli, Stephana Carelli, Stefano Ceri, Manuela T Raimondi

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
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  6. Review
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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

7 authors.

Giovanni Buccioli *Department of Chemistry, Materials and Chemical Engineering "Giulio Natta", Politecnico di Milano, Milan, Italy.
Carolina Testa *Department of Chemistry, Materials and Chemical Engineering "Giulio Natta", Politecnico di Milano, Milan, Italy.
Emanuela JacchettiDepartment of Chemistry, Materials and Chemical Engineering "Giulio Natta", Politecnico di Milano, Milan, Italy.
Pietro PinoliDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Stephana CarelliCenter of Functional Genomics and Rare Diseases, Buzzi Children's Hospital, Milan, Italy.
Stefano CeriDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy. stefano.ceri@polimi.it.
Manuela T RaimondiDepartment of Chemistry, Materials and Chemical Engineering "Giulio Natta", Politecnico di Milano, Milan, Italy. manuela.raimondi@polimi.it.

Funding

HORIZON EUROPE European Research Council 101053122
6 · The paper itself

Abstract

Statins, widely used cardiovascular drugs that lower cholesterol by inhibiting HMG-CoA reductase, have been increasingly recognized for their potential anticancer properties. This study elucidates the underlying mechanism, revealing that statins exploit Synthetic Lethality, a principle where the co-occurrence of two non-lethal events leads to cell death. Our computational analysis of approximately 37,000 SL pairs identified statins as potential drugs targeting genes involved in SL pairs with metastatic genes. In vitro validation on various cancer cell lines confirmed the anticancer efficacy of statins. This data-driven drug repurposing strategy provides a molecular basis for the anticancer effects of statins, offering translational opportunities in oncology.

Indexed as

Antineoplastic AgentsHydroxymethylglutaryl-CoA Reductase InhibitorsNeoplasmsCell Line, TumorCell SurvivalComputer SimulationDrug RepositioningHeLa CellsHumansAntineoplastic AgentsHydroxymethylglutaryl-CoA Reductase InhibitorsBig dataDrug repurposingMetastasesStatinsSynthetic lethality

Identifiers

PMID39217242
PMCPMC11365972

What OpenQuestion holds

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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.