Evidence map›Paper›PMID 32897597›Full record

ReviewCancer science2020

Autophagy involvement in oncogenesis.

Satoru Torii, Shinya Honda, Michiko Murohashi, Hirofumi Yamaguchi, Shigeomi Shimizu

Abstract readReview
In one paragraph

Review in Cancer science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Nutrients · 2023
    Article
  4. Alternative autophagy: mechanisms and roles in different diseases.Cell communication and signaling : CCS · 2022
    Review
  5. Article
  6. AI-enhanced simultaneous multiparametricEuropean journal of nuclear medicine and molecular imaging · 2022
    Article
  7. Observational
  8. Review
  9. 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

5 authors.

Satoru ToriiDepartment of Pathological Cell Biology, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan.ORCID https://orcid.org/0000-0003-4841-7131
Shinya HondaDepartment of Pathological Cell Biology, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan.
Michiko MurohashiDepartment of Pathological Cell Biology, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan.
Hirofumi YamaguchiDepartment of Pathological Cell Biology, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan.
Shigeomi ShimizuDepartment of Pathological Cell Biology, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan.ORCID https://orcid.org/0000-0002-8437-0791

Funding

Japan Agency for Medical Research and Development JP18cm0106109Japan Agency for Medical Research and Development JP18dm0107136Japan Agency for Medical Research and Development JP19ek0109407MEXT 17H01533MEXT 17H06413MEXT 17H06414MEXT 20H00467Tokyo Medical and Dental University
6 · The paper itself

Abstract

Various clinical and experimental findings have revealed the causal relationship between autophagy failure and oncogenesis, and several mechanisms have been suggested to explain this relationship. We recently proposed two additional mechanisms: centrosome number dysregulation and the failure of autophagic cell death. Here, we detail the mechanical relationship between autophagy failure and oncogenesis.

Indexed as

AutophagyCell Transformation, NeoplasticAnimalsBiomarkersCentrosomeDisease ProgressionDisease SusceptibilityGene Expression Regulation, NeoplasticHumansNeoplasmsSignal TransductionBiomarkersalternative autophagyautophagic cell deathautophagycentrosomeoncogenesis

Identifiers

PMID32897597
PMCPMC7648016

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.