Evidence map›Paper›PMID 26512778›Full record

ArticleOncotarget2015

Ki67/SATB1 ratio is an independent prognostic factor of overall survival in patients with early hormone receptor-positive invasive ductal breast carcinoma.

Arvydas Laurinavicius, Andrew R Green, Aida Laurinaviciene, Giedre Smailyte, Valerijus Ostapenko, Raimundas Meskauskas, Ian O Ellis

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2015. 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, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. The Role of SATB1 in Tumour Progression and Metastasis.International journal of molecular sciences · 2019
    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

7 authors at 4 institutions in 2 countries.

Arvydas LaurinaviciusFaculty of Medicine, Vilnius University, Vilnius, Lithuania.
Andrew R GreenDivision of Cancer and Stem Cells, School of Medicine and Nottingham University Hospitals NHS Trust, University of Nottingham, Nottingham, United Kingdom.
Aida LaurinavicieneFaculty of Medicine, Vilnius University, Vilnius, Lithuania.
Giedre SmailyteFaculty of Medicine, Vilnius University, Vilnius, Lithuania.
Valerijus OstapenkoNational Cancer Institute, Vilnius, Lithuania.
Raimundas MeskauskasNational Center of Pathology, Vilnius University Hospital Santariskiu Clinics, Vilnius, Lithuania.
Ian O EllisDivision of Cancer and Stem Cells, School of Medicine and Nottingham University Hospitals NHS Trust, University of Nottingham, Nottingham, United Kingdom.
Vilnius University · LTNational Cancer Institute · LTNottingham University Hospitals NHS Trust · GBUniversity of Nottingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological diversity of breast cancer presents challenges for personalized therapy and necessitates multiparametric approaches to understand and manage the disease. Multiple protein biomarkers tested by immunohistochemistry (IHC), followed by digital image analysis and multivariate statistics of the data, have been shown to be effective in exploring latent profiles of tumor tissue immunophenotype. In this study, based on tissue microarrays of 107 patients with hormone receptor (HR) positive invasive ductal breast carcinoma, we investigated the prognostic value of the integrated immunophenotype to predict overall survival (OS) of the patients. A set of 10 IHC markers (ER, PR, HER2, Ki67, AR, BCL2, HIF-1α, SATB1, p53, and p16) was used. The main factor of the variance was characterized by opposite loadings of ER/PR/AR/BCL2 and Ki67/HIF-1α; it was associated with histological grade but did not predict OS. The second factor was driven by SATB1 expression along with moderate positive HIF-1α and weak negative Ki67 loadings. Importantly, this factor did not correlate with any clinicopathologic parameters, but was an independent predictor of better OS. Ki67 and SATB1 did not reach statistical significance as single predictors; however, high Ki67/SATB1 ratio was an independent predictor of worse OS. In addition, our data indicate potential double prognostic meaning of HIF-1α expression in breast cancer and necessitate focused studies, taking into account the immunophenotype interactions and tissue heterogeneity aspects.

Indexed as

Biomarkers, TumorBreast NeoplasmsCarcinoma, Ductal, BreastFemaleHumansHypoxia-Inducible Factor 1, alpha SubunitImmunohistochemistryKaplan-Meier EstimateKi-67 AntigenMatrix Attachment Region Binding ProteinsMiddle AgedNeoplasm InvasivenessOutcome Assessment, Health CarePrognosisProportional Hazards ModelsProspective StudiesBiomarkers, TumorHypoxia-Inducible Factor 1, alpha SubunitKi-67 AntigenMatrix Attachment Region Binding ProteinsReceptors, SteroidSATB1 protein, humanbreast cancerdigital image analysisHIF-1αimmunohistochemistrySATB1

Identifiers

PMID26512778
PMCPMC4747395
OpenAlexW2173769238

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.