Evidence map›Paper›PMID 26921331›Full record

ArticleCancer research2016

Phosphatase PTP4A3 Promotes Triple-Negative Breast Cancer Growth and Predicts Poor Patient Survival.

Petra den Hollander, Kathryn Rawls, Anna Tsimelzon, Jonathan Shepherd, Abhijit Mazumdar, Jamal Hill, Suzanne A W Fuqua, Jenny C Chang, C Kent Osborne, Susan G Hilsenbeck and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 4% 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

60 citing papers in PubMed, 1 synthesis or guideline pooled it, 106 citations in OpenAlex.

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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

12 authors at 1 institution in 1 country.

Petra den HollanderDepartment of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Kathryn RawlsDepartment of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Anna TsimelzonLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas.
Jonathan ShepherdDepartment of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas. Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas.
Abhijit MazumdarDepartment of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Jamal HillDepartment of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Suzanne A W FuquaLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas.
Jenny C ChangMethodist Cancer Center, The Methodist Hospital Research Institute, Houston, Texas.
C Kent OsborneLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas.
Susan G HilsenbeckLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas.
Gordon B MillsDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Powel H BrownDepartment of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas. Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas. phbrown@mdanderson.org.
Baylor College of Medicine · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) has the worst prognosis of all breast cancers, and women diagnosed with TNBC currently lack targeted treatment options. To identify novel targets for TNBC, we evaluated phosphatase expression in breast tumors and characterized their contributions to in vitro and in vivo growth of TNBC. Using Affymetrix microarray analysis of 102 breast cancers, we identified 146 phosphatases that were significantly differentially expressed in TNBC compared with estrogen receptor (ER)-positive tumors. Of these, 19 phosphatases were upregulated (0.66-fold; FDR = 0.05) in TNBC compared with ER-positive breast cancers. We knocked down 17 overexpressed phosphatases in four triple-negative and four ER-positive breast cancer lines using specific siRNAs and found that depletion of six of these phosphatases significantly reduced growth and anchorage-independent growth of TNBC cells to a greater extent than ER-positive cell lines. Further analysis of the phosphatase PTP4A3 (also known as PRL-3) demonstrated its requirement for G1-S cell-cycle progression in all breast cancer cells, but PTP4A3 regulated apoptosis selectively in TNBC cells. In addition, PTP4A3 inhibition reduced the growth of TNBC tumors in vivo Moreover, in silico analysis revealed the PTP4A3 gene to be amplified in 29% of basal-like breast cancers, and high expression of PTP4A3 could serve as an independent prognostic indicator for worse overall survival. Collectively, these studies define the importance of phosphatase overexpression in TNBC and lay the foundation for the development of new targeted therapies directed against phosphatases or their respective signaling pathways for TNBC patients. Cancer Res; 76(7); 1942-53. ©2016 AACR.

Indexed as

Cell Line, TumorCell ProliferationHumansNeoplasm ProteinsPhosphoric Monoester HydrolasesPrognosisProtein Tyrosine PhosphatasesSignal TransductionSurvival AnalysisTriple Negative Breast NeoplasmsNeoplasm ProteinsPhosphoric Monoester HydrolasesProtein Tyrosine PhosphatasesPTP4A3 protein, human

Identifiers

PMID26921331
PMCPMC4873402
OpenAlexW2287812034

What OpenQuestion holds

Textmetadata
LicenceTDM
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.