Evidence map›Paper›PMID 24012337›Full record

ReviewSeminars in radiation oncology2013

Characterization of the stem cell niche and its importance in radiobiological response.

Frank Pajonk, Erina Vlashi

Abstract readReview
In one paragraph

Review in Seminars in radiation oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Biological basis of radiation protection needs rejuvenation.International journal of radiation biology · 2017
    Review
  4. Review
  5. Article
  6. Review
  7. KEuropean biophysics journal : EBJ · 2016
    Review
  8. Review
  9. Review
  10. Niche interactions in epidermal stem cells.World journal of stem cells · 2015
    Review
  11. 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.

Frank PajonkDepartment of Radiation Oncology, David Geffen School of Medicine, UCLA, Los Angeles, CA; Jonsson Comprehensive Cancer Center, UCLA, Los Angeles, CA. Electronic address: fpajonk@mednet.ucla.edu.
Erina Vlashi

Funding

Erythropoietin and Breast Cancer Stem CellsR01CA161294 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PAJONK, FRANK · 2012 to 2016
$1.6M
The 26S Proteasome in Cancer Stem CellsR01CA137110 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PAJONK, FRANK · 2009 to 2013
$1.6M
NCI NIH HHS 1R01CA161294NCI NIH HHS R01 CA137110NCI NIH HHS R01CA137110NCI NIH HHS R01 CA161294
6 · The paper itself

Abstract

Normal tissues are organized hierarchically with a small number of stem cells, able to self-renew and give rise to all the differentiated cells found in the respective specialized tissues. The undifferentiated, multipotent state of normal stem cells is codetermined by the constituents of a specific anatomical space that hosts the normal stem cell population, called the "stem cell niche." Radiation interferes not only with the stem cell population but also with the stem cell niche, thus modulating a complex regulatory network. There is now mounting experimental evidence that many solid cancers share this hierarchical organization with their tissue of origin, with the cancer stem cells also occupying specialized niches. In this review, we highlight some of the best-characterized aspects of normal tissue stem cells, cancer stem cells, and their niches in the bone marrow, gut, and brain, as well as their responses to ionizing radiation.

Indexed as

RadiobiologyTumor MicroenvironmentAnimalsBone Marrow CellsCentral Nervous SystemHumansIntestinesNeoplasmsSignal TransductionStem Cell Niche

Identifiers

PMID24012337
PMCPMC3768002

What OpenQuestion holds

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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.