Evidence map›Paper›PMID 15509516›Full record

ReviewThe American journal of pathology2004

Roles and regulation of stat family transcription factors in human breast cancer.

Charles V Clevenger

Open access · bronzeAbstract readReview
In one paragraph

Review in The American journal of pathology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed
6.7field-weighted citation impact, top 2% 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

85 citing papers in PubMed, 195 citations in OpenAlex.

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25 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

1 author at 1 institution in 1 country.

Charles V ClevengerDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, 513 SC Labs, 422 Curie Blvd., Philadelphia, PA 19104, USA. clevengc@mail.med.upenn.edu
University of Pennsylvania · US

Funding

Multimeric Signaling Complexes in PRLr TransductionR01CA092265 · NCI · UNIVERSITY OF PENNSYLVANIA · PI CLEVENGER, CHARLES V · 2001 to 2013
$2.6M
PROLACTIN RECEPTOR COMPLEX IN BREAST CANCERR01CA069294 · NCI · UNIVERSITY OF PENNSYLVANIA · PI CLEVENGER, CHARLES V · 1996 to 2006
$1.9M
Regulation of Stat Function in Breast CancerR01CA102682 · NCI · UNIVERSITY OF PENNSYLVANIA · PI CLEVENGER, CHARLES V · 2003 to 2007
$1.3M
NCI NIH HHS CA102682NCI NIH HHS CA92265NCI NIH HHS R01 CA069294NCI NIH HHS R01 CA092265NCI NIH HHS R01 CA102682NCI NIH HHS R01 CA69294
6 · The paper itself

Abstract

Stats (for signal transducers and activators of transcription) are a family of transcription factors that regulate cell growth and differentiation. Their activity is latent until phosphorylation by receptor-associated kinases. A sizable body of data from cell lines, mouse models, and human tissues now implicates these transcription factors in the oncogenesis of breast cancer. Because Stat activity is modulated by several posttranslational modifications and protein-protein interactions, these transcription factors are capable of integrating inputs from multiple signaling networks. Given this, the future utilization of Stats as prognostic markers and therapeutic targets in human breast cancer appears likely.

Indexed as

Gene Expression Regulation, NeoplasticAmino Acid MotifsAnimalsBreast NeoplasmsDNA-Binding ProteinsHumansMammary Glands, HumanMiceMilk ProteinsModels, BiologicalPhosphorylationPrognosisSTAT1 Transcription FactorSTAT3 Transcription FactorSTAT5 Transcription FactorStructure-Activity RelationshipDNA-Binding ProteinsMilk ProteinsSTAT1 protein, humanStat1 protein, mouseSTAT1 Transcription FactorSTAT3 protein, humanStat3 protein, mouseSTAT3 Transcription FactorSTAT5 Transcription FactorTrans-ActivatorsTyrosine

Identifiers

PMID15509516
PMCPMC1618660
OpenAlexW2117028918

What OpenQuestion holds

Textmetadata
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.