Evidence map›Paper›PMID 26208877›Full record

ArticleAutophagy2015

Cross-cancer profiling of molecular alterations within the human autophagy interaction network.

Chandra B Lebovitz, A Gordon Robertson, Rodrigo Goya, Steven J Jones, Ryan D Morin, Marco A Marra, Sharon M Gorski

Open access · hybridAbstract read
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 96 papers.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

96 citing papers in PubMed, 128 citations in OpenAlex.

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36 more citing papers are in PubMed but not listed here.

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

7 authors at 4 institutions in 1 country.

Chandra B Lebovitza The Genome Sciences Centre; BC Cancer Agency ; Vancouver, BC Canada.
A Gordon Robertsona The Genome Sciences Centre; BC Cancer Agency ; Vancouver, BC Canada.
Rodrigo Goyaa The Genome Sciences Centre; BC Cancer Agency ; Vancouver, BC Canada.
Steven J Jonesa The Genome Sciences Centre; BC Cancer Agency ; Vancouver, BC Canada.
Ryan D Morina The Genome Sciences Centre; BC Cancer Agency ; Vancouver, BC Canada.
Marco A Marraa The Genome Sciences Centre; BC Cancer Agency ; Vancouver, BC Canada.
Sharon M Gorskia The Genome Sciences Centre; BC Cancer Agency ; Vancouver, BC Canada.
BC Cancer Agency · CABurnaby Hospital · CASimon Fraser University · CAUniversity of British Columbia · CA

Funding

Canadian Institutes of Health Research GPG102167
6 · The paper itself

Abstract

Aberrant activation or disruption of autophagy promotes tumorigenesis in various preclinical models of cancer, but whether the autophagy pathway is a target for recurrent molecular alteration in human cancer patient samples is unknown. To address this outstanding question, we surveyed 211 human autophagy-associated genes for tumor-related alterations to DNA sequence and RNA expression levels and examined their association with patient survival outcomes in multiple cancer types with sequence data from The Cancer Genome Atlas consortium. We found 3 (RB1CC1/FIP200, ULK4, WDR45/WIPI4) and one (ATG7) core autophagy genes to be under positive selection for somatic mutations in endometrial carcinoma and clear cell renal carcinoma, respectively, while 29 autophagy regulators and pathway interactors, including previously identified KEAP1, NFE2L2, and MTOR, were significantly mutated in 6 of the 11 cancer types examined. Gene expression analyses revealed that GABARAPL1 and MAP1LC3C/LC3C transcripts were less abundant in breast cancer and non-small cell lung cancers than in matched normal tissue controls; ATG4D transcripts were increased in lung squamous cell carcinoma, as were ATG16L2 transcripts in kidney cancer. Unsupervised clustering of autophagy-associated mRNA levels in tumors stratified patient overall survival in 3 of 9 cancer types (acute myeloid leukemia, clear cell renal carcinoma, and head and neck cancer). These analyses provide the first comprehensive resource of recurrently altered autophagy-associated genes in human tumors, and highlight cancer types and subtypes where perturbed autophagy may be relevant to patient overall survival.

Indexed as

Gene Expression ProfilingGene Regulatory NetworksAutophagyCase-Control StudiesCluster AnalysisGene Expression Regulation, NeoplasticHumansMutation RateNeoplasmsPolymorphism, Single NucleotideRNA, MessengerSurvival AnalysisTranscription, GeneticRNA, MessengerAMLautophagycancergene expressionLAPTM4BmutationSNVSQSTM1TCGAtumor

Identifiers

PMID26208877
PMCPMC4590660
OpenAlexW1638800501

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.