Evidence map›Paper›PMID 32524353›Full record

ArticleBreast cancer research and treatment2020

The prognostic significance of BMI1 expression in invasive breast cancer is dependent on its molecular subtypes.

Maryam Althobiti, Abir A Muftah, Mohammed A Aleskandarany, Chitra Joseph, Michael S Toss, Andrew Green, Emad Rakha

Open access · hybridAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Profiling of Breast Cancer Stem Cell Types/States Shows the Role of CD44International journal of molecular sciences · 2025
    Article
  3. Article
  4. Article
  5. Critical Roles of Polycomb Repressive Complexes in Transcription and Cancer.International journal of molecular sciences · 2022
    Review
  6. Review
  7. Review
  8. Article
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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 3 countries.

Maryam AlthobitiDivision of Cancer and Stem Cells, Nottingham Breast Cancer Research Centre, University of Nottingham Biodiscovery Institute, University Park, Nottingham, NG7 2RD, UK.ORCID http://orcid.org/0000-0003-1903-7703
Abir A MuftahDepartment of Pathology, Faculty of Medicine, Faculty of Medicine and Health Science, University of Benghazi, Benghazi, Libya.
Mohammed A AleskandaranyDivision of Cancer and Stem Cells, Nottingham Breast Cancer Research Centre, University of Nottingham Biodiscovery Institute, University Park, Nottingham, NG7 2RD, UK.
Chitra JosephDivision of Cancer and Stem Cells, Nottingham Breast Cancer Research Centre, University of Nottingham Biodiscovery Institute, University Park, Nottingham, NG7 2RD, UK.
Michael S TossDivision of Cancer and Stem Cells, Nottingham Breast Cancer Research Centre, University of Nottingham Biodiscovery Institute, University Park, Nottingham, NG7 2RD, UK.
Andrew GreenDivision of Cancer and Stem Cells, Nottingham Breast Cancer Research Centre, University of Nottingham Biodiscovery Institute, University Park, Nottingham, NG7 2RD, UK.
Emad RakhaDivision of Cancer and Stem Cells, Nottingham Breast Cancer Research Centre, University of Nottingham Biodiscovery Institute, University Park, Nottingham, NG7 2RD, UK. emad.rakha@nottingham.ac.uk.
University of Nottingham · GBUniversity of Benghazi · LY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeBMI1, which is a major component of the polycomb group complex 1, is an essential epigenetic repressor of multiple regulatory genes and has been identified as a cancer stem cell (CSC) marker in several cancers. However, its role in breast cancer (BC) remains to be defined. In this study, we have evaluated the prognostic significance of BMI1 among the different molecular subtypes and assessed its association with other breast CSC markers (BCSC). MATERIAL AND

methodBMI1 copy number and mRNA was assessed in large and well-characterised cohorts of early-stage BC patients [METABRIC (n = 1980) and the Bc-GenExMiner (n = 9616) databases]. BMI1 protein expression was assessed using tissue microarray and immunohistochemistry in a cohort of 870 invasive BC patients with long-term outcome data and the expression of a panel of BCSC markers was monitored.

resultBMI1 expression, prognostic significance and its association with BCSC markers were differed between molecular classes. In the luminal oestrogen receptor-positive (ER+) BC, BMI1 showed significantly higher expression compared to ER- tumours. BMI1 showed positive correlation with favourable prognostic features and it was negatively associated with the expression of key BCSC markers (ALDH1A1, CD24, CD44, CD133, SOX10 and SOX9). High expression of BMI1 was associated with longer breast cancer-specific survival (BCSS) independent of other prognostic variables. In the basal triple negative BC subtype, BMI1 expression showed positive association with CD133 and SOX10 and it was significantly associated with shorter BCSS.

conclusionHigh BMI1 expression is associated with clinicopathological variables and outcome in BC. However, this association is dependent on the molecular subtypes. Further functional assessment to detect its underlying mechanistic roles in BC subtypes is warranted.

Indexed as

Biomarkers, TumorBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesFemaleFollow-Up StudiesHumansMiddle AgedNeoplasm InvasivenessNeoplastic Stem CellsPolycomb Repressive Complex 1PrognosisReceptors, EstrogenReceptors, ProgesteroneRetrospective StudiesSurvival RateBiomarkers, TumorBMI1 protein, humanERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesPolycomb Repressive Complex 1Receptors, EstrogenReceptors, ProgesteroneBMI1Breast cancerBreast cancer stem markersOestrogen receptor positiveOutcome

Identifiers

PMID32524353
PMCPMC7320923
OpenAlexW3034047108

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.