Evidence map›Paper›PMID 35884894›Full record

ReviewBiomedicines2022

Drug Repurposing: The Mechanisms and Signaling Pathways of Anti-Cancer Effects of Anesthetics.

King-Chuen Wu, Kai-Sheng Liao, Li-Ren Yeh, Yang-Kao Wang

Abstract readReview
In one paragraph

Review in Biomedicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Drug Repurposing for Cancer Treatment: A Comprehensive Review.International journal of molecular sciences · 2024
    Review
  11. Article
  12. Article
  13. Acute Lung Injury and the NLRP3 Inflammasome.Journal of inflammation research · 2024
    Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. 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

4 authors.

King-Chuen WuDepartment of Anesthesiology, Chang Gung Memorial Hospital, Chiayi 61363, Taiwan.
Kai-Sheng LiaoDepartment of Pathology, Ditmanson Medical Foundation, Chia-Yi Christian Hospital, Chiayi 60002, Taiwan.
Li-Ren YehDepartment of Anesthesiology, E-Da Cancer Hospital, Kaohsiung 82445, Taiwan.
Yang-Kao WangDepartment of Cell Biology and Anatomy, College of Medicine, National Cheng Kung University, Tainan 70101, Taiwan.ORCID 0000-0003-4887-5562

Funding

Chang Gung Memorial Hospital Chia Yi CMRPG6H0601E-Da Hospital EDAHP105001Ministry of Science and Technology, Taiwan MoST 106-2320-B-006-042-MY3National Cheng Kung University Medical College/Ditmanson Medical Foundation Chia-Yi Christian Hospital jointed grant CYC110001
6 · The paper itself

Abstract

Cancer is one of the leading causes of death worldwide. There are only limited treatment strategies that can be applied to treat cancer, including surgical resection, chemotherapy, and radiotherapy, but these have only limited effectiveness. Developing a new drug for cancer therapy is protracted, costly, and inefficient. Recently, drug repurposing has become a rising research field to provide new meaning for an old drug. By searching a drug repurposing database ReDO_DB, a brief list of anesthetic/sedative drugs, such as haloperidol, ketamine, lidocaine, midazolam, propofol, and valproic acid, are shown to possess anti-cancer properties. Therefore, in the current review, we will provide a general overview of the anti-cancer mechanisms of these anesthetic/sedative drugs and explore the potential underlying signaling pathways and clinical application of these drugs applied individually or in combination with other anti-cancer agents.

Indexed as

anestheticsanti-canceranti-proliferationapoptosisre-purposingsignaling

Identifiers

PMID35884894
PMCPMC9312706

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.