Evidence map›Paper›PMID 26193872›Full record

ReviewJournal of mammary gland biology and neoplasia2015

ERrrr…where are the progenitors? Hormone receptors and mammary cell heterogeneity.

Giusy Tornillo, Matthew J Smalley

Open access · hybridAbstract 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 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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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

2 authors at 1 institution in 1 country.

Giusy TornilloEuropean Cancer Stem Cell Research Institute, School of Biosciences, Cardiff, CF24 4HQ, UK. TornilloG@cardiff.ac.uk.
Matthew J SmalleyEuropean Cancer Stem Cell Research Institute, School of Biosciences, Cardiff, CF24 4HQ, UK.
Cardiff University · GB

Funding

Cancer Research UK 15938
6 · The paper itself

Abstract

The mammary epithelium is a highly heterogenous and dynamic tissue that includes a range of cell types with varying levels of proliferative capacity and differentiation potential, from stem to committed progenitor and mature cells. Generation of mature cells through expansion and specification of immature precursors is driven by hormonal and local stimuli. Intriguingly, although circulating hormones can be directly sensed only by a subset of mammary cells, they also regulate the behaviour of cells lacking their cognate receptors through paracrine mechanisms. Thus, mapping the hormonal signalling network on to the emerging mammary cell hierarchy appears to be a difficult task. Nevertheless, a first step towards a better understanding is the characterization of the hormone receptor expression pattern across individual cell types in the mammary epithelium. Here we review the most relevant findings on the cellular distribution of hormone receptors in the mammary gland, taking into account differences between mice and humans, the methods employed to assess receptor expression as well as the variety of approaches used to resolve the mammary cell heterogeneity.

Indexed as

AnimalsCell DifferentiationCell LineageCell ProliferationEpitheliumFemaleHumansMammary Glands, AnimalMammary Glands, HumanReceptors, EstrogenReceptors, ProgesteroneSignal TransductionStem CellsReceptors, EstrogenReceptors, ProgesteroneCell heterogeneityHormone receptorMammary epitheliumOestrogenProgenitor cellProgesteroneStem cell

Identifiers

PMID26193872
PMCPMC4595529
OpenAlexW1811320802

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.