Evidence map›Paper›PMID 30662566›Full record

ArticleTheranostics2019

Targeting lipid metabolism to overcome EMT-associated drug resistance via integrin β3/FAK pathway and tumor-associated macrophage repolarization using legumain-activatable delivery.

Hongyue Jin, Yang He, Pengfei Zhao, Ying Hu, Jin Tao, Jiang Chen, Yongzhuo Huang

Open access · goldAbstract read
In one paragraph

Article in Theranostics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 144 papers.

0numbers the graph read from it
0cells of the map it votes in
144citing papers in PubMed
4.8field-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

144 citing papers in PubMed, 211 citations in OpenAlex.

  1. Review
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  8. Article
  9. Lipid metabolism in homeostasis and disease.Signal transduction and targeted therapy · 2026
    Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. EMT and cancer stem cells: Drivers of therapy resistance and promising therapeutic targets.Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy · 2025
    Review
  18. Review
  19. Review
  20. Article

84 more citing papers are in PubMed but not listed here.

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 at 5 institutions in 1 country.

Hongyue JinState Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
Yang HeState Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
Pengfei ZhaoState Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
Ying HuZhejiang Pharmaceutical College, Ningbo 315100, China.
Jin TaoZhejiang Pharmaceutical College, Ningbo 315100, China.
Jiang ChenFudan University School of Pharmacy, Shanghai 201203, China.
Yongzhuo HuangState Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
Chinese Academy of Sciences · CNZhejiang Pharmaceutical College · CNFudan University · CNShanghai Institute of Materia Medica · CNUniversity of Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial-mesenchymal transition (EMT) is closely associated with the development of drug resistance. Lipid metabolism plays an important role in EMT. This work was to study the cholesterol-lowering drug simvastatin for reversing EMT-associated resistance to chemotherapy via lipid metabolism.

methodsThe combination of simvastatin and paclitaxel was used to overcome the EMT-associated drug resistance. For dual-action on both cancer cells and tumor-associated macrophages (TAM), the tumor microenvironment-activatable multifunctional liposomes were developed for drug codelivery. The liposomes were modified with a hairpin-structured, activatable cell-penetrating peptide that is specifically responsive to the tumor-associated protease legumain.

resultsIt was revealed simvastatin can disrupt lipid rafts (cholesterol-rich domains) and suppress integrin-β3 and focal adhesion formation, thus inhibiting FAK signaling pathway and re-sensitizing the drug-resistant cancer cells to paclitaxel. Furthermore, simvastatin was able to re-polarize tumor-associated macrophages (TAM), promoting M2-to-M1 phenotype switch via cholesterol-associated LXR/ABCA1 regulation. The repolarization increased TNF-α, but attenuated TGF-β, which, in turn, remodeled the tumor microenvironment and suppressed EMT. The liposomal formulation achieved enhanced treatment efficacy.

conclusionThis study provides a promising simvastatin-based nanomedicine strategy targeting cholesterol metabolism to reverse EMT and repolarize TAM to treat drug-resistant cancer. The elucidation of the molecular pathways (cholesterol/lipid raft/integrin β3/FAK and cholesterol-associated LXR/ABCA1 regulation) for anti-EMT and the new application of simvastatin should be of clinical significance.

Indexed as

AnimalsAntineoplastic AgentsAsparaginyl EndopeptidaseCell Line, TumorCell SurvivalCysteine EndopeptidasesDrug CarriersDrug Resistance, NeoplasmEpithelial-Mesenchymal TransitionFocal AdhesionsHeterograftsHydroxymethylglutaryl-CoA Reductase InhibitorsIntegrin beta3Lipid MetabolismLiposomesMacrophagesAntineoplastic AgentsAsparaginyl EndopeptidaseCysteine EndopeptidasesDrug CarriersHydroxymethylglutaryl-CoA Reductase InhibitorsIntegrin beta3LiposomesPaclitaxelSimvastatincholesterol metabolismdrug resistanceEpithelial-mesenchymal transitionlegumainsimvastatintumor-associated macrophages

Identifiers

PMID30662566
PMCPMC6332796
OpenAlexW2904635368

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.