Evidence map›Paper›PMID 42383765›Full record

ArticleCancer medicine2026

Cholesterol-Lowering Treatment Blocks Epithelial-Mesenchymal Transition (EMT) Associated Invasiveness and Drug Resistance in Breast and Colorectal Adenocarcinoma Models.

Shanen Perumal, Naaziyah Abdulla, Ruth Aronson, Mandeep Kaur

Abstract read
In one paragraph

Article in Cancer medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Shanen PerumalSchool of Molecular and Cell Biology, University of the Witwatersrand, Johannesburg, South Africa.
Naaziyah AbdullaSchool of Molecular and Cell Biology, University of the Witwatersrand, Johannesburg, South Africa.
Ruth AronsonSchool of Molecular and Cell Biology, University of the Witwatersrand, Johannesburg, South Africa.
Mandeep KaurSchool of Molecular and Cell Biology, University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-9757-4048

Funding

National Research Foundation, South Africa 118720
6 · The paper itself

Abstract

backgroundEpithelial-mesenchymal transition (EMT) is a cellular process involved in the invasion and metastasis of cancer cells. Deregulated cellular cholesterol is associated with treatment resistance and metastatic potential in cancer cells; however, the link between EMT and cholesterol is unclear.

methodsWe tested the effect of cholesterol-lowering on EMT using three cell line models and three EMT inducers. EMT was induced in NMuMG, MCF-7 and HT-29 cells to assess the effect of cholesterol-modulatory compounds, MβCD, HPβCD and simvastatin. Free cholesterol, lipid droplets and lipid rafts in cellular membranes were evaluated using immunofluorescence microscopy. Expression of EMT-associated genes was assessed using immunofluorescent staining, RT-qPCR and Western blotting.

resultsFollowing cholesterol depletion (free cholesterol, lipid rafts and lipid droplets) with HPβCD, RT-qPCR showed an increase in CDH1 expression (log

conclusionCholesterol depletion reversed EMT-associated expression patterns in all three cell models. Results from this study support cholesterol depletion as a potential therapeutic intervention for mitigating metastatic cancer progression.

Indexed as

AdenocarcinomaAnticholesteremic AgentsBreast NeoplasmsCholesterolColorectal NeoplasmsDrug Resistance, NeoplasmEpithelial-Mesenchymal Transitionbeta-CyclodextrinsCell Line, TumorFemaleGene Expression Regulation, NeoplasticHT29 CellsHumansMCF-7 CellsNeoplasm InvasivenessSimvastatinAnticholesteremic Agentsbeta-CyclodextrinsCholesterolmethyl-beta-cyclodextrinSimvastatincancer progressioncholesterol loweringcyclodextrinsdrug resistanceepithelial‐mesenchymal transition

Identifiers

PMID42383765
PMCPMC13320828

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.