Evidence map›Paper›PMID 17873345›Full record

ReviewStem cell reviews2007

Prospective isolation and functional analysis of stem and differentiated cells from the mouse mammary gland.

Joseph Regan, Matthew Smalley

Abstract readReview
PubMed Publisher
In one paragraph

Review in Stem cell reviews, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Expanding Sca-1(+) mammary stem cell in the presence of oestrogen and growth hormone.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2012
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Cancer stem cells in breast: current opinion and future challenges.Pathobiology : journal of immunopathology, molecular and cellular biology · 2008
    Review
  12. 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.

Joseph ReganThe Breakthrough Breast Cancer Research Centre, Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK.
Matthew Smalley

Funding

Breast Cancer Now BREAST CANCER NOW RESEARCH CENTRE
6 · The paper itself

Abstract

Prospective isolation and in vitro and in vivo analysis of primary mouse mammary epithelial cells has been used to separate cell subpopulations and identify stem, progenitor and differentiated cell compartments. Progress has been made from cell separation strategies based on a single marker of the luminal epithelial or myoepithelial compartments to use of markers that allow simultaneous isolation of non-epithelial, basal/myoepithelial and luminal epithelial cells. Transplant analysis has shown that mammary stem cells are found in the basal/myoepithelial compartment, whereas in vitro colony progenitors are found in the luminal compartment. A basal population enriched for stem cell activity can be purified from the myoepithelial cells and the most recent data shows that the luminal population can now be prospectively split into estrogen receptor positive and estrogen receptor negative cells. Future work aims to molecularly characterise these populations to identify new drug targets, which can be used to specifically kill breast cancer stem cells.

Indexed as

Cell SeparationAnimalsAntigens, DifferentiationCell DifferentiationColony-Forming Units AssayEpithelial CellsFemaleMammary Glands, AnimalMammary Neoplasms, AnimalMiceNeoplastic Stem CellsReceptors, EstrogenStem CellsAntigens, DifferentiationReceptors, Estrogen

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.