Evidence map›Paper›PMID 23574782›Full record

ReviewHuman pathology2013

Tissue-based identification of stem cells and epithelial-to-mesenchymal transition in breast cancer.

Talha E Anwar, Celina G Kleer

Open access · greenAbstract readReview
In one paragraph

Review in Human pathology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
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  13. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Talha E AnwarDepartment of Pathology and Comprehensive Cancer Center, University of Michigan Medical School, 1500 East Medical Center Drive, Ann Arbor, MI 48109, USA.
Celina G Kleer
University of Michigan–Ann Arbor · US

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Scott Michael Schuetze · 1988 to 2026
$178.2M
Role of EZH2 in Breast Cancer ProgressionR01CA107469 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Celina G Kleer · 2005 to 2026
$5.9M
Role of CCN6 (WISP3) in the Progression and Metastasis of Breast Cancer.R01CA125577 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Celina G Kleer · 2008 to 2026
$5.5M
The Function of EZH2 in Estrogen Receptor Negative Breast Cancer in Women of AfU01CA154224 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KLEER, CELINA G · 2010 to 2014
$1.7M
NCI NIH HHS 5 P30 CA46592NCI NIH HHS P30 CA046592NCI NIH HHS R01 CA107469NCI NIH HHS R01 CA125577NCI NIH HHS U01 CA154224NCI NIH HHS U01CA154224
6 · The paper itself

Abstract

Pathologists have recognized breast cancer heterogeneity for decades, but its causes were unknown. In recent years, basic science and translational studies have demonstrated that cancer stem cells contribute to the heterogeneous histologic and functional characteristics of breast cancer. Even more recently, the ability of breast epithelial cells to undergo an epithelial-to-mesenchymal transition has been linked to the acquisition of stem cells properties and enhanced tumor invasion, metastasis, and resistance to available treatments. The stem cells and cells undergoing epithelial-to-mesenchymal transition are attractive targets for therapy and breast cancer prevention. Despite current challenges, their identification in breast tissue samples would enable pathologists to discover and validate prognostic and predictive markers as well as identify markers of increased risk for breast cancer.

Indexed as

Epithelial-Mesenchymal TransitionAnimalsBreast NeoplasmsFemaleHumansNeoplastic Stem CellsALDH1CD44EMTEpithelial-to-mesenchymal transitionMetastasisStem cells

Identifiers

PMID23574782
PMCPMC3715557
OpenAlexW2048602874

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.