Evidence map›Paper›PMID 26909599›Full record

ArticleOncotarget2016

Genome-wide functional genetic screen with the anticancer agent AMPI-109 identifies PRL-3 as an oncogenic driver in triple-negative breast cancers.

Hamid H Gari, Christy M Gearheart, Susan Fosmire, Gregory D DeGala, Zeying Fan, Kathleen C Torkko, Susan M Edgerton, M Scott Lucia, Rahul Ray, Ann D Thor and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. PRL-3: unveiling a new horizon in cancer therapy.Acta pharmacologica Sinica · 2025
    Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. 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

12 authors at 2 institutions in 1 country.

Hamid H GariDepartment of Pathology, University of Colorado School of Medicine, Aurora, CO, USA.
Christy M GearheartDepartment of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA.
Susan FosmireDepartment of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA.
Gregory D DeGalaDepartment of Pathology, University of Colorado School of Medicine, Aurora, CO, USA.
Zeying FanDepartment of Pathology, University of Colorado School of Medicine, Aurora, CO, USA.
Kathleen C TorkkoDepartment of Pathology, University of Colorado School of Medicine, Aurora, CO, USA.
Susan M EdgertonDepartment of Pathology, University of Colorado School of Medicine, Aurora, CO, USA.
M Scott LuciaDepartment of Pathology, University of Colorado School of Medicine, Aurora, CO, USA.
Rahul RayDepartment of Medicine, Boston University School of Medicine, Boston, MA, USA.
Ann D ThorDepartment of Pathology, University of Colorado School of Medicine, Aurora, CO, USA.
Christopher C PorterDepartment of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA.
James R LambertDepartment of Pathology, University of Colorado School of Medicine, Aurora, CO, USA.
University of Colorado Denver · USBoston University · US

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
NCI NIH HHS P30 CA046934
6 · The paper itself

Abstract

Triple-negative breast cancers (TNBC) are among the most aggressive and heterogeneous cancers with a high propensity to invade, metastasize and relapse. Here, we demonstrate that the anticancer compound, AMPI-109, is selectively efficacious in inhibiting proliferation and inducing apoptosis of multiple TNBC subtype cell lines as assessed by activation of pro-apoptotic caspases-3 and 7, PARP cleavage and nucleosomal DNA fragmentation. AMPI-109 had little to no effect on growth in the majority of non-TNBC cell lines examined. We therefore utilized AMPI-109 in a genome-wide shRNA screen in the TNBC cell line, BT-20, to investigate the utility of AMPI-109 as a tool in helping to identify molecular alterations unique to TNBC. Our screen identified the oncogenic phosphatase, PRL-3, as a potentially important driver of TNBC growth, migration and invasion. Through stable lentiviral knock downs and transfection with catalytically impaired PRL-3 in TNBC cells, loss of PRL-3 expression, or functionality, led to substantial growth inhibition. Moreover, AMPI-109 treatment, downregulation of PRL-3 expression or impairment of PRL-3 activity reduced TNBC cell migration and invasion. Histological evaluation of human breast cancers revealed PRL-3 was significantly, though not exclusively, associated with the TNBC subtype and correlated positively with regional and distant metastases, as well as 1 and 3 year relapse free survival. Collectively, our study is proof-of-concept that AMPI-109, a selectively active agent against TNBC cell lines, can be used as a molecular tool to uncover unique drivers of disease progression, such as PRL-3, which we show promotes oncogenic phenotypes in TNBC cells.

Indexed as

Triple Negative Breast NeoplasmsAntineoplastic AgentsApoptosisCalcitriolCell Line, TumorDrug Screening Assays, AntitumorFemaleHumansNeoplasm ProteinsOncogenesProtein Tyrosine PhosphatasesVitamin D1,25-dihydroxyvitamin D3-3-bromoacetateAntineoplastic AgentsCalcitriolNeoplasm ProteinsProtein Tyrosine PhosphatasesPTP4A3 protein, humanVitamin DAMPI-109functional genomicsphosphatasePRL-3triple-negative breast cancer

Identifiers

PMID26909599
PMCPMC4941275
OpenAlexW2295186638

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.