Evidence map›Paper›PMID 24906121›Full record

ArticleAutophagy2014

A curated census of autophagy-modulating proteins and small molecules: candidate targets for cancer therapy.

Philip L Lorenzi, Sofie Claerhout, Gordon B Mills, John N Weinstein

Open access · bronzeAbstract read
In one paragraph

Article in Autophagy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

22 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Review
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  6. Article
  7. Article
  8. Article
  9. Autophagy in Human Skin Fibroblasts: Impact of Age.International journal of molecular sciences · 2018
    Article
  10. Article
  11. Article
  12. A Curated Target Gene Pool Assisting Early Disease Prediction and Patient-Specific Treatment for Small Cell Lung Cancer.Journal of computational biology : a journal of computational molecular cell biology · 2018
    Article
  13. Article
  14. Article
  15. An Integrative Computational Approach to Evaluate Genetic Markers for Chronic Lymphocytic Leukemia.Journal of computational biology : a journal of computational molecular cell biology · 2017
    Article
  16. Article
  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

4 authors at 1 institution in 1 country.

Philip L LorenziDepartment of Bioinformatics and Computational Biology; The University of Texas MD Anderson Cancer Center; Houston, TX USA.
Sofie ClaerhoutDepartment of Systems Biology; The University of Texas MD Anderson Cancer Center; Houston, TX USA.
Gordon B MillsDepartment of Systems Biology; The University of Texas MD Anderson Cancer Center; Houston, TX USA.
John N WeinsteinDepartment of Bioinformatics and Computational Biology; The University of Texas MD Anderson Cancer Center; Houston, TX USA; Department of Systems Biology; The University of Texas MD Anderson Cancer Center; Houston, TX USA.
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
UNIVERSITY OF TEXAS MD ANDERSON SPORE IN OVARIAN CANCERP50CA083639 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BAST, ROBERT C · 1999 to 2015
$33.0M
UTMDACC SPORE in Breast CancerP50CA116199 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BERRY, DONALD A · 2005 to 2009
$11.9M
Integrative Pipeline for Analysis & Translational Application of TCGA Data (GDAC)U24CA143883 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AKBANI, REHAN, MILLS, GORDON B. · 2009 to 2016
$10.6M
NCI NIH HHS CA083639NCI NIH HHS CA116199NCI NIH HHS CA143883NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA083639NCI NIH HHS P50 CA116199NCI NIH HHS U24 CA143883
6 · The paper itself

Abstract

Autophagy, a programmed process in which cell contents are delivered to lysosomes for degradation, appears to have both tumor-suppressive and tumor-promoting functions; both stimulation and inhibition of autophagy have been reported to induce cancer cell death, and particular genes and proteins have been associated both positively and negatively with autophagy. To provide a basis for incisive analysis of those complexities and ambiguities and to guide development of new autophagy-targeted treatments for cancer, we have compiled a comprehensive, curated inventory of autophagy modulators by integrating information from published siRNA screens, multiple pathway analysis algorithms, and extensive, manually curated text-mining of the literature. The resulting inventory includes 739 proteins and 385 chemicals (including drugs, small molecules, and metabolites). Because autophagy is still at an early stage of investigation, we provide extensive analysis of our sources of information and their complex relationships with each other. We conclude with a discussion of novel strategies that could potentially be used to target autophagy for cancer therapy.

Indexed as

Molecular Targeted TherapyAutophagyCell Line, TumorGenetic Association StudiesHumansNeoplasmsRNA, Small InterferingSmall Molecule LibrariesRNA, Small InterferingSmall Molecule Librariesautophagycancerhigh-throughput screeningL-asparaginasenatural language processingpathway analysisRNAisiRNAtext-mining

Identifiers

PMID24906121
PMCPMC4203555
OpenAlexW2051252157

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.