Evidence map›Paper›PMID 23564085›Full record

ReviewActa pharmacologica Sinica2013

Autophagy modulation as a target for anticancer drug discovery.

Xin Li, Huai-long Xu, Yong-xi Liu, Na An, Si Zhao, Jin-ku Bao

Open access · bronzeAbstract readReview
In one paragraph

Review in Acta pharmacologica Sinica, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

31 citing papers in PubMed, 70 citations in OpenAlex.

  1. Review
  2. Article
  3. Autophagy3D: a comprehensive autophagy structure database.Database : the journal of biological databases and curation · 2024
    Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Autophagy in Cancer: A Metabolic Perspective.Sub-cellular biochemistry · 2022
    Review
  11. Review
  12. Autophagy Paradox of Cancer: Role, Regulation, and Duality.Oxidative medicine and cellular longevity · 2021
    Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

6 authors at 1 institution in 1 country.

Xin LiSchool of Life Sciences & State Laboratory of Bio-resources and Eco-environment, Ministry of Education, Sichuan University, Chengdu 610064, China.
Huai-long Xu
Yong-xi Liu
Na An
Si Zhao
Jin-ku Bao
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autophagy, an evolutionarily conserved catabolic process involving the engulfment and degradation of non-essential or abnormal cellular organelles and proteins, is crucial for homeostatic maintenance in living cells. This highly regulated, multi-step process has been implicated in diverse diseases including cancer. Autophagy can function as either a promoter or a suppressor of cancer, which makes it a promising and challenging therapeutic target. Herein, we overview the regulatory mechanisms and dual roles of autophagy in cancer. We also describe some of the representative agents that exert their anticancer effects by regulating autophagy. Additionally, some emerging strategies aimed at modulating autophagy are discussed as having the potential for future anticancer drug discovery. In summary, these findings will provide valuable information to better utilize autophagy in the future development of anticancer therapeutics that meet clinical requirements.

Indexed as

AnimalsAntineoplastic AgentsAutophagyDrug DiscoveryHumansMicroRNAsNeoplasmsAntineoplastic AgentsMicroRNAs

Identifiers

PMID23564085
PMCPMC4002878
OpenAlexW2045295710

What OpenQuestion holds

Textmetadata
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.