Evidence map›Paper›PMID 21529973›Full record

ReviewTrends in pharmacological sciences2011

Pharmacogenomics and cancer stem cells: a changing landscape?

Francesco Crea, Maria Ana Duhagon, William L Farrar, Romano Danesi

Abstract readReview
In one paragraph

Review in Trends in pharmacological sciences, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
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

4 authors.

Francesco CreaDepartment of Internal Medicine, Division of Pharmacology, University of Pisa, Pisa, Italy.
Maria Ana Duhagon
William L Farrar
Romano Danesi

Funding

Characterization of Cancer Stem CellsZIABC010794 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI FARRAR, WILLIAM · 2009 to 2012
$3.2M
Intramural NIH HHS ZIA BC010794
6 · The paper itself

Abstract

Pharmacogenomics in oncology holds the promise to personalize cancer therapy. However, its clinical application is still limited to a few genes, and, in the large majority of cancers, the correlation between genotype and clinical outcome has been disappointing. One possible explanation is that current pharmacogenomic studies do not take into account the emerging role of cancer stem cells (CSCs) in drug sensitivity and resistance. CSCs are a subpopulation of cells driven by specific signal-transduction pathways, but genetic variants affecting their activity are generally neglected in current pharmacogenomic studies. Moreover, in several malignancies, CSCs represent a rare sub-population; therefore, whole tumor profiling might mask CSC gene expression patterns. This article reviews current evidence on CSC chemoresistance and shows how common genetic variations in CSC-related genes may predict individual response to anti-cancer agents. Furthermore, we provide insights into the design of pharmacogenomic studies to address the clinical usefulness of CSC genetic profiling.

Indexed as

BiomarkersNeoplastic Stem CellsAnimalsAntineoplastic AgentsCell DifferentiationClinical Trials as TopicDrug Resistance, NeoplasmHumansMiceModels, BiologicalNeoplasmsPharmacogeneticsSignal TransductionTreatment OutcomeAntineoplastic AgentsBiomarkers

Identifiers

PMID21529973
PMCPMC3448442

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.