Evidence map›Paper›PMID 30327566›Full record

ArticleBritish journal of cancer2018

Breast osteoblast-like cells: a new biomarker for the management of breast cancer.

Manuel Scimeca, Nicoletta Urbano, Rita Bonfiglio, Orazio Schillaci, Elena Bonanno

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.2field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. A 3D-Printable Cell Array for In Vitro Breast Cancer Modeling.International journal of molecular sciences · 2024
    Article
  8. Article
  9. [Molecular and cellular biochemistry · 2022
    Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Breast Cancer and Microcalcifications: An Osteoimmunological Disorder?International journal of molecular sciences · 2020
    Review
  15. Article
  16. Breast-Specific Gamma Imaging with [Journal of clinical medicine · 2020
    Article
  17. Article
  18. Journal of clinical medicine · 2019
    Article
  19. Article
  20. Expression of Protein 4.1 Family in Breast Cancer: Database Mining for 4.1 Family Members in Malignancies.Medical science monitor : international medical journal of experimental and clinical research · 2019
    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

5 authors at 2 institutions in 1 country.

Manuel ScimecaDepartment of Biomedicine and Prevention, University of Rome "Tor Vergata", Via Montpellier 1, Rome, 00133, Italy.
Nicoletta UrbanoNuclear Medicine, Policlinico "Tor Vergata", Rome, Italy.
Rita BonfiglioDepartment of Experimental Medicine, University "Tor Vergata", Via Montpellier 1, Rome, 00133, Italy.
Orazio SchillaciDepartment of Biomedicine and Prevention, University of Rome "Tor Vergata", Via Montpellier 1, Rome, 00133, Italy.
Elena BonannoDepartment of Experimental Medicine, University "Tor Vergata", Via Montpellier 1, Rome, 00133, Italy. elena.bonanno@uniroma2.it.
University of Rome Tor Vergata · ITPoliclinico Tor Vergata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn this study, we investigated the relationship between the expression of the main in situ markers of breast cancer and the presence of breast osteoblast-like cells (BOLCs).

methodsWe collected 100 breast biopsies. Serial paraffin sections were obtained from each biopsy to perform histological classifications and immunohistochemical analyses (RUNX2, RANKL, vimentin, TGFβ, Ki67, CD44, ER, PR and HER2).

resultsLinear regression analysis showed a positive and significant correlation between the number of BOLCs and the expression of EMT-related markers (vimentin and TGFβ), Ki67 and ER. Conversely, we observed an inverse correlation between the number of CD44-positive breast cancer cells and the BOLCs. No significant differences were observed between the number of BOLCs and the HER2 scores.

conclusionsMorphological and molecular characterisation of BOLCs can lay the foundations towards understanding the biological basis of the formation of breast microcalcifications, and breast cancer metastasis to bone. The data here reported may be useful for the identification of breast lesions with high potential to develop bone metastasis.

Indexed as

AgedBiomarkers, TumorBiopsyBreast NeoplasmsFemaleHumansMiddle AgedOsteoblastsBiomarkers, Tumor

Identifiers

PMID30327566
PMCPMC6219492
OpenAlexW2897140439

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.