Evidence map›Paper›PMID 24888590›Full record

ArticleGenes & development2014

p62/SQSTM1 synergizes with autophagy for tumor growth in vivo.

Huijun Wei, Chenran Wang, Carlo M Croce, Jun-Lin Guan

Open access · diamondAbstract read
In one paragraph

Article in Genes & development, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing 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

80 citing papers in PubMed, 108 citations in OpenAlex.

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  13. The sequestosome 1 protein: therapeutic vulnerabilities in ovarian cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Review
  14. Autophagy and autophagy-related pathways in cancer.Nature reviews. Molecular cell biology · 2023
    Review
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20 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Huijun WeiDivision of Molecular Medicine and Genetics, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA; Ohio State University Comprehensive Cancer Center, Columbus, Ohio 43210, USA;
Chenran WangDivision of Molecular Medicine and Genetics, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA; Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA; Department of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, Ohio 45267, USA.
Carlo M CroceOhio State University Comprehensive Cancer Center, Columbus, Ohio 43210, USA;
Jun-Lin GuanDivision of Molecular Medicine and Genetics, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA; Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA; Department of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, Ohio 45267, USA.
Ohio University · USUniversity of Cincinnati Medical Center · USUniversity of Michigan–Ann Arbor · US

Funding

Genetic Analysis of FAK kinase and scaffold functions in breast cancerR01CA163493 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GUAN, JUN-LIN · 2012 to 2016
$1.6M
Molecular Analysis of Signal Transduction in Cancer Development and ProgressionR01CA150926 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GUAN, JUN-LIN · 2010 to 2014
$1.4M
NCI NIH HHS CA150926NCI NIH HHS R01 CA150926NCI NIH HHS R01 CA163493
6 · The paper itself

Abstract

Autophagy is crucial for cellular homeostasis and plays important roles in tumorigenesis. FIP200 (FAK family-interacting protein of 200 kDa) is an essential autophagy gene required for autophagy induction, functioning in the ULK1-ATG13-FIP200 complex. Our previous studies showed that conditional knockout of FIP200 significantly suppressed mammary tumorigenesis, which was accompanied by accumulation of p62 in tumor cells. However, it is not clear whether FIP200 is also required for maintaining tumor growth and how the increased p62 level affects the growth in autophagy-deficient FIP200-null tumors in vivo. Here, we describe a new system to delete FIP200 in transformed mouse embryonic fibroblasts as well as mammary tumor cells following their transplantation and show that ablation of FIP200 significantly reduced growth of established tumors in vivo. Using similar strategies, we further showed that either p62 knockdown or p62 deficiency in established FIP200-null tumors dramatically impaired tumor growth. The stimulation of tumor growth by p62 accumulation in FIP200-null tumors is associated with the up-regulated activation of the NF-κB pathway by p62. Last, we showed that overexpression of the autophagy master regulator TFEB(S142A) increased the growth of established tumors, which correlated with the increased autophagy of the tumor cells. Together, our studies demonstrate that p62 and autophagy synergize to promote tumor growth, suggesting that inhibition of both pathways could be more effective than targeting either alone for cancer therapy.

Indexed as

Adaptor Proteins, Signal TransducingAnimalsAutophagyAutophagy-Related ProteinsBreast NeoplasmsCell LineCell Line, TumorFemaleGene DeletionGene Expression Regulation, NeoplasticGene Knockdown TechniquesHeat-Shock ProteinsHEK293 CellsHumansIntracellular Signaling Peptides and ProteinsMiceAdaptor Proteins, Signal TransducingAutophagy-Related ProteinsHeat-Shock ProteinsIntracellular Signaling Peptides and ProteinsRb1cc1 protein, mouseSequestosome-1 ProteinSqstm1 protein, mouseautophagymouse modelsp62tumor growth

Identifiers

PMID24888590
PMCPMC4052766
OpenAlexW1986427048

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.