Evidence map›Paper›PMID 31732837›Full record

ReviewJournal of mammary gland biology and neoplasia2019

Redirecting Normal and Cancer Stem Cells to a Mammary Epithelial Cell Fate.

Anastasia Frank-Kamenetskii, Brian W Booth

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of mammary gland biology and neoplasia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. The cancer puzzle: Welcome to organicism.Progress in biophysics and molecular biology · 2021
    Article
  4. Article
  5. Article
  6. 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.

Anastasia Frank-KamenetskiiDepartment of Bioengineering, Clemson University, 401-1 Rhodes Engineering Research Center, Clemson, SC, 29634, USA.
Brian W BoothDepartment of Bioengineering, Clemson University, 401-1 Rhodes Engineering Research Center, Clemson, SC, 29634, USA. brbooth@clemson.edu.ORCID http://orcid.org/0000-0003-2542-7302

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tissue microenvironments, also known as stem cell niches, influence not only resident cells but also cells in surrounding tissues. Physical and biochemical intercellular signals originating from resident stem cells or non-stem cells participate in the homeostasis of the tissue regulating cell proliferation, differentiation, wound healing, tissue remodeling, and tumorigenesis. In recent publications it has been demonstrated that the normal mouse mammary microenvironment can provide development and differentiation guidance to not only resident mammary cells but also cells of non-mammary origin including tumor-derived cells. When placed in reforming mammary stem cell niches the non-mammary cells proliferate and differentiate along mammary epithelial cell lineages and contribute progeny to reforming mammary gland outgrowths. The tumor-derived cells that are redirected to assume mammary epithelial phenotypes lose their cancer-forming capacity and shift their gene expression profiles from a cancer profile towards a normal mammary epithelial expression profile. This review summarizes the recent discoveries regarding the ability of the normal mouse mammary microenvironment to dictate the cell fates of non-mammary cells introduced into mammary stem cell niches.

Indexed as

Cell DifferentiationAnimalsBreastBreast NeoplasmsCell Transformation, NeoplasticEpithelial CellsFemaleHumansNeoplastic Stem CellsTumor MicroenvironmentBreastMammaryMicroenvironmentNicheRedirectionStem cells

Identifiers

What OpenQuestion holds

Textmetadata
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.