Evidence map›Paper›PMID 18031300›Full record

ReviewJournal of cellular and molecular medicine

Systems biology and cancer stem cells.

Nathan D Price, Greg Foltz, Anup Madan, Leroy Hood, Qiang Tian

Abstract readReview
In one paragraph

Review in Journal of cellular and molecular medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Systems biology for molecular life sciences and its impact in biomedicine.Cellular and molecular life sciences : CMLS · 2013
    Review
  4. Article
  5. A CD133-related gene expression signature identifies an aggressive glioblastoma subtype with excessive mutations.Proceedings of the National Academy of Sciences of the United States of America · 2011
    Article
  6. Article
  7. Article
  8. 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

5 authors.

Nathan D PriceInstitute for Systems Biology, Seattle, WA 98103, USA.
Greg Foltz
Anup Madan
Leroy Hood
Qiang Tian

Funding

Vaccinating against IGFBP-2 to prevent ovarian cancer relapseP50CA083636 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI DRESCHER, CHARLES, URBAN, NICOLE DENISE · 1999 to 2015
$35.1M
QUANTITATIVE IMAGE ANALYSIS SPECIALIZED RESOURCE COREU54CA119347 · NCI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI HEATH, JAMES R. · 2005 to 2009
$17.8M
STEM CELL DETRMINATION GENES IN HSC AND HEMATOLYMPHOID CELLS IN MICEP01DK053074 · NIDDK · STANFORD UNIVERSITY · PI CLARKE, MICHAEL F · 1997 to 2007
$8.3M
NCI NIH HHS P50 CA083636NCI NIH HHS U54 CA119347NIDDK NIH HHS P01 DK053074NIDDK NIH HHS P01DK53074
6 · The paper itself

Abstract

The identification, purification, and characterization of cancer stem cells holds tremendous promise for improving the treatment of cancer. Mounting evidence is demonstrating that only certain tumor cells (i.e. the cancer stem cells) can give rise to tumors when injected and that these purified cell populations generate heterogeneous tumors. While the cell of origin is still not determined definitively, specific molecular markers for populations containing these cancer stem cells have been found for leukemia, brain cancer, and breast cancer, among others. Systems approaches, particularly molecular profiling, have proven to be of great utility for cancer diagnosis and characterization. These approaches also hold significant promise for identifying distinctive properties of the cancer stem cells, and progress is already being made.

Indexed as

Systems BiologyAnimalsHumansNeoplasmsNeoplastic Stem Cells

Identifiers

PMID18031300
PMCPMC3823474

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.