Evidence map›Paper›PMID 30474779›Full record

ArticleBreast cancer research and treatment2019

Connexin 43 is an independent predictor of patient outcome in breast cancer patients.

Maria Chasampalioti, Andrew R Green, Ian O Ellis, Emad A Rakha, Andrew M Jackson, Ian Spendlove, Judith M Ramage

Open access · hybridAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

30 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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 3 institutions in 1 country.

Maria ChasampaliotiCancer Immunology Group, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Andrew R GreenDivision of Cancer and Stem Cells, Nottingham Breast Cancer Research Centre, School of Medicine, University of Nottingham, Nottingham, UK.
Ian O EllisDivision of Cancer and Stem Cells, Nottingham Breast Cancer Research Centre, School of Medicine, University of Nottingham, Nottingham, UK.
Emad A RakhaDivision of Cancer and Stem Cells, Nottingham Breast Cancer Research Centre, School of Medicine, University of Nottingham, Nottingham, UK.
Andrew M JacksonHost-tumour interactions Group, Division of Cancer and Stem cells, School of Medicine, University of Nottingham, Nottingham, UK.
Ian SpendloveCancer Immunology Group, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.
Judith M RamageCancer Immunology Group, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK. Judith.ramage@nottingham.ac.uk.
University of Nottingham · GBNottingham University Hospitals NHS Trust · GBNottingham City Hospital · GB

Funding

Medical Research Council MR/M015564/1
6 · The paper itself

Abstract

purposeGap junctions are specialized membrane structures that form channels between adjacent cells allowing cell communication. Gap junctions and specifically Connexin 43 (Cx43) are down-regulated in cancer; however, there are contrasting reports on how this effects breast cancer patient survival. This paper is the first large-scale tissue microarray analysis of Cx43 expression in breast cancer patients with an associated clinical long-term follow-up.

methodsUsing a validated TMA of 1118 primary breast cancers, coupled to a comprehensive database of clinicopathological variables, the expression levels and subcellular localisation of Cx43 was assessed by immunohistochemistry. Its impact in terms of survival, distant metastasis-free survival, and clinicopathological variables was determined.

resultsPatients whose tumors expressed high levels of Cx43 had significantly better survival (p < 0.001) than patients with low levels. High Cx43 expression within tumors was associated with an 18-month survival advantage. Loss of Cx43 expression was associated with markers of poor prognosis, namely large tumor size, high grade, high proliferation status, high pleomorphism, high mitosis, poor Nottingham Prognostic Index (NPI), and triple negative tumors. Cx43 expression was independent of tumor size, grade, stage and ER-status in predicting poor survival on multivariate analysis (p = 0.004).

conclusionConnexin 43 (Cx43) is an independent predictor of breast cancer survival and distant metastasis-free survival. High expression of Cx43 was seen in only 13% of tumors, suggesting that drugs to increase Cx43 expression may result in prolonged patients survival.

Indexed as

AdultAgedBiomarkers, TumorBreast NeoplasmsConnexin 43FemaleHumansKaplan-Meier EstimateMiddle AgedPrognosisRetrospective StudiesBiomarkers, TumorConnexin 43GJA1 protein, humanConnexin 43Tissue microarrayTumor biomarker

Identifiers

PMID30474779
PMCPMC6418069
OpenAlexW2900859340

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.