Evidence map›Paper›PMID 26101901›Full record

ArticleAutophagy2015

AMBRA1: When autophagy meets cell proliferation.

Valentina Cianfanelli, Francesco Cecconi

Open access · bronzeAbstract readComment
In one paragraph

Article in Autophagy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Ambra1 in cancer: implications for clinical oncology.Apoptosis : an international journal on programmed cell death · 2022
    Review
  5. Article
  6. The Dawn of Mitophagy: What Do We Know by Now?Current neuropharmacology · 2021
    Review
  7. Mechanisms of TLR4-Mediated Autophagy and Nitroxidative Stress.Frontiers in cellular and infection microbiology · 2021
    Review
  8. Article
  9. Article
  10. Article
  11. Prognostic significance of autophagy-related proteins expression in resected human gastric adenocarcinoma.Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban · 2017
    Article
  12. Autophagy signal transduction by ATG proteins: from hierarchies to networks.Cellular and molecular life sciences : CMLS · 2015
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 2 countries.

Valentina Cianfanellia Unit of Cell Stress and Survival; Danish Cancer Society Research Center ; Copenhagen , Denmark.
Francesco Cecconia Unit of Cell Stress and Survival; Danish Cancer Society Research Center ; Copenhagen , Denmark.
Danish Cancer Society · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A growing amount of evidence reported in the literature in recent years strongly supports the relevance of the interplay between autophagy and other pathways. In this context, the study of the link between autophagy and cell proliferation regulation has been among the most challenging. In our recent publications, we finely characterize a role for the pro-autophagic protein AMBRA1 in the regulation of cell proliferation. AMBRA1 modulates autophagy and interacts with PPP2/PP2A (protein phosphatase 2), thus also modulating MYC protein levels and the cell proliferation rate. Interestingly, this pathway of regulation is controlled by the master regulator of autophagy and cell growth, MTORC1. Notably, in our study we demonstrate the relevance of the AMBRA1-mediated regulation of MYC in tumorigenesis, also identifying AMBRA1 as a tumor suppressor gene.

Indexed as

cancerMTORC1MYCPPP2/PP2A

Identifiers

PMID26101901
PMCPMC4590640
OpenAlexW1726154037

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.