Evidence map›Paper›PMID 24404438›Full record

ArticleSpringerPlus2013

Stability and prognostic value of Slug, Sox9 and Sox10 expression in breast cancers treated with neoadjuvant chemotherapy.

Cosima Riemenschnitter, Ivett Teleki, Verena Tischler, Wenjun Guo, Zsuzsanna Varga

Open access · diamondAbstract read
In one paragraph

Article in SpringerPlus, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 26 citations in OpenAlex.

  1. SOX9: an important factor in regulating breast cancer.European journal of medical research · 2025
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Experimental and therapeutic medicine · 2018
    Article
  10. Article
  11. Article
  12. MicroRNA-1 (miR-1) inhibits chordoma cell migration and invasion by targeting slug.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2014
    Article
  13. Epithelial to mesenchymal transition inducing transcription factors and metastatic cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    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

5 authors at 3 institutions in 3 countries.

Cosima RiemenschnitterInstitute of Surgical Pathology, University Hospital Zurich, Schmelzbergstrasse 12, CH 8091 Zurich, Switzerland.
Ivett Teleki1st Department of Pathology & Experimental Cancer Research, Semmelweis University, Budapest, Hungary.
Verena TischlerInstitute of Surgical Pathology, University Hospital Zurich, Schmelzbergstrasse 12, CH 8091 Zurich, Switzerland.
Wenjun GuoRuth L and Davis S Gottesman Institute for Stem Cell Biology and Regenerative Medicine, Department of Cell Biology, Albert Einstein College of Medicine, Bronx, NY USA.
Zsuzsanna VargaInstitute of Surgical Pathology, University Hospital Zurich, Schmelzbergstrasse 12, CH 8091 Zurich, Switzerland ; Institute of Surgical Pathology, University Hospital Zurich, Schmelzbergstrasse 12, CH 8091 Zurich, Switzerland.
University Hospital of Zurich · CHAlbert Einstein College of Medicine · USSemmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExpression of transcription-factors as Slug and Sox9 was recently described to determine mammary stem-cell state. Sox10 was previously shown to be present also in breast cancer. Protein overexpression of Slug, Sox9 and Sox10 were associated with poor overall survival and with triple-negative phenotype in breast cancer. In this study we tested the stability of Slug, Sox9 and Sox10 expression during chemotherapy and addressed their prognostic role of in neoadjuvant treated primary breast-cancer and their correlation to pathological-response and overall survival.

methodsWe analyzed immunohistochemical expression of Slug, Sox9 and Sox10 in tissue microarrays of 96 breast cancers prior to and after neoadjuvant chemotherapy. Expression was evaluated in invasive tumor cells and in tumor stroma and scored as 0, 1+, 2+ 3+. Expression-profile prior to and after chemotherapy was correlated to overall survival (Kaplan Meier) and with established clinico-pathological parameter.

resultsSox9, Sox10 and Slug were expressed in 82-96% of the tumor cells prior to chemotherapy. Slug was expressed in 97% of the cases in tumor stroma before therapy. Change in expression-profile after chemotherapy occurred only in Slug expression in tumor-cells (decreased from 82 to 51%, p = 0.0001, Fisher's exact test). The other markers showed no significant change after chemotherapy. Stromal Sox9 expression (0 to 2+) correlated to better overall survival after chemotherapy (p = 0.004) and reached almost statistical significance prior to chemotherapy (p = 0.065). There was no correlation between Sox9 and hormone-receptor expression. In multivariate-analysis, the stromal Sox9 expression after chemotherapy proved to be an independent and better prognostic marker than hormone-receptor status. Other clinico-pathological parameter (as HER2-status or pathological-stage) showed no correlation to the analyzed markers.

conclusionStrong stromal Sox9 expression in breast cancer after chemotherapy was found to bear negative prognostic information and was associated with shortened overall survival. Slug expression was significantly changed (reduced) in samples after neoadjuvant chemotherapy.

Indexed as

Breast cancerChemotherapyPrognosisStabilityStem cellsTranscription factors

Identifiers

PMID24404438
PMCPMC3879394
OpenAlexW2148222930

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.