Evidence map›Paper›PMID 26400846›Full record

ArticleBreast cancer research and treatment2015

Paired-like Homeodomain Transcription factor 2 expression by breast cancer bone marrow disseminated tumor cells is associated with early recurrent disease development.

Sreeraj G Pillai, Nupur Dasgupta, Chidananda M Siddappa, Mark A Watson, Timothy Fleming, Kathryn Trinkaus, Rebecca Aft

Open access · hybridAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Clinical Validation ofBreast care (Basel, Switzerland) · 2018
    Article
  5. Article
  6. Article
  7. The Predictive Value ofDisease markers · 2017
    Review
  8. Review
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

7 authors at 2 institutions in 1 country.

Sreeraj G PillaiDepartment of Surgery, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO, 63110, USA.
Nupur DasguptaDepartment of Surgery, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO, 63110, USA.
Chidananda M SiddappaDepartment of Surgery, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO, 63110, USA.
Mark A WatsonDepartment of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA.
Timothy FlemingDepartment of Surgery, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO, 63110, USA.
Kathryn TrinkausSiteman Cancer Center, Department of Surgery, Biostatistics Shared Resource, Washington University School of Medicine, St. Louis, MO, USA.
Rebecca AftDepartment of Surgery, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO, 63110, USA. aftr@wustl.edu.
Washington University in St. Louis · USCincinnati Children's Hospital Medical Center · US

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
LCenter for Clinical and Translational Science and TrainingUL1TR001425 · NCATS · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E., KISSELA, BRETT M · 2015 to 2024
$37.5M
ANALYSIS AND THERAPEUTIC TARGETING OF BREAST CANCER DISSEMINATED TUMOR CELLSR01CA172623 · NCI · WASHINGTON UNIVERSITY · PI AFT, REBECCA L., WATSON, MARK A. · 2013 to 2017
$2.0M
NCATS NIH HHS UL1 TR001425NCI NIH HHS P30 CA091842NCI NIH HHS R01 CA172623
6 · The paper itself

Abstract

The presence of disseminated tumor cells (DTCs) in the bone marrow (BM) of breast cancer patients is prognostic for early relapse. In the present study, we analyzed the gene expression profiles from BM cells of breast cancer patients to identify molecular signatures associated with DTCs and their relevance to metastatic outcome. We analyzed BM from 30 patients with stage II/III breast cancer by gene expression profiling and correlated expression with metastatic disease development. A candidate gene, PITX2, was analyzed for expression and phenotype in breast cancer cell lines. PITX2 was knocked down in the MDAMB231 cell lines for gene expression analysis and cell invasiveness. Expression of various signaling pathway molecules was confirmed by RT-PCR. We found that the expression of Paired-like Homeobox Transcription factor-2 (PITX2) is absent in the BM of normal healthy volunteers and, when detected in the BM of breast cancer patients, is significantly correlated with early metastatic disease development (p = 0.0062). Suppression of PITX2 expression significantly reduced invasiveness in MDAMB231 cells. Three genes-NKD1, LEF1, and DKK4-were significantly downregulated in response to PITX2 suppression. Expression of PITX2 in BM of early-stage breast cancer patients is associated with risk for early disease recurrence. Furthermore, PITX2 likely plays a role in the metastatic process through its effect on the expression of genes associated with the Wnt/beta-Catenin signaling pathway.

Indexed as

Gene ExpressionBiomarkers, TumorBone MarrowBone NeoplasmsBreast NeoplasmsCase-Control StudiesCell Line, TumorDisease ProgressionFemaleFollow-Up StudiesGene Expression Regulation, NeoplasticGene Knockdown TechniquesHomeobox Protein PITX2Homeodomain ProteinsHumansNeoplasm InvasivenessBiomarkers, TumorHomeobox Protein PITX2Homeodomain ProteinsNuclear ProteinsTranscription FactorsTWIST1 protein, humanTwist-Related Protein 1Breast cancerDisseminated tumor cellsGene expressionInvasivenessMetastasisPITX2Wnt signaling

Identifiers

PMID26400846
PMCPMC4589549
OpenAlexW2143110966

What OpenQuestion holds

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LicenceCC BY-NC
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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.