Evidence map›Paper›PMID 26286174›Full record

ReviewJournal of mammary gland biology and neoplasia2015

Of mice and women: a comparative tissue biology perspective of breast stem cells and differentiation.

Gabriela Dontu, Tan A Ince

Abstract readReview
In one paragraph

Review in Journal of mammary gland biology and neoplasia, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
–field-weighted citation impact
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

42 citing papers in PubMed.

  1. Article
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  14. Endocrine-disrupting compounds and metabolomic reprogramming in breast cancer.Journal of biochemical and molecular toxicology · 2023
    Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Ductal keratin 15NPJ breast cancer · 2022
    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

2 authors.

Gabriela DontuStem Cell Group, Breakthrough Breast Cancer Research Unit, Research Oncology, King's College London School of Medicine, 3rd Floor Bermondsey Wing, Guy's Hospital, London, SE1 9RT, UK.
Tan A InceSylvester Comprehensive Cancer Center, Braman Family Breast Cancer Institute, Interdisciplinary Stem Cell Institute and Department of Pathology, University of Miami Miller School of Medicine, 1501 NW 10th Ave., Miami, 33136, FL, USA. TInce@med.miami.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tissue based research requires a background in human and veterinary pathology, developmental biology, anatomy, as well as molecular and cellular biology. This type of comparative tissue biology (CTB) expertise is necessary to tackle some of the conceptual challenges in human breast stem cell research. It is our opinion that the scarcity of CTB expertise contributed to some erroneous interpretations in tissue based research, some of which are reviewed here in the context of breast stem cells. In this article we examine the dissimilarities between mouse and human mammary tissue and suggest how these may impact stem cell studies. In addition, we consider the differences between breast ducts vs. lobules and clarify how these affect the interpretation of results in stem cell research. Lastly, we introduce a new elaboration of normal epithelial cell types in human breast and discuss how this provides a clinically useful basis for breast cancer classification.

Indexed as

Cell DifferentiationAnimalsCarcinomaCell LineageFemaleFlow CytometryHistology, ComparativeHumansImmunohistochemistryKeratinsMammary Glands, AnimalMammary Glands, HumanMiceStem CellsKeratinsComparative pathologyHormone receptorsMammary glandStem cells

Identifiers

PMID26286174
PMCPMC4595531

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.