Evidence map›Paper›PMID 21605402›Full record

ArticleBMC medical genomics2011

Lineage relationship of prostate cancer cell types based on gene expression.

Laura E Pascal, Ricardo Zn Vêncio, Robert L Vessella, Carol B Ware, Eneida F Vêncio, Gareth Denyer, Alvin Y Liu

Abstract read
In one paragraph

Article in BMC medical genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Gene Expression Profiling Reveals Regulation of ERK Phosphorylation by Androgen-Induced Tumor Suppressor U19/EAF2 in the Mouse Prostate.Cancer microenvironment : official journal of the International Cancer Microenvironment Society · 2013
    Article
  12. Prostate cancer cell phenotypes based on AGR2 and CD10 expression.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2013
    Article
  13. Article
  14. Article
  15. 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

7 authors.

Laura E PascalDepartment of Urology University of Washington, Seattle, WA 98195, USA.
Ricardo Zn Vêncio
Robert L Vessella
Carol B Ware
Eneida F Vêncio
Gareth Denyer
Alvin Y Liu

Funding

The Early Detection Research Network: Biomarker Developmental LaboratoriesU01CA111244 · NCI · UNIVERSITY OF WASHINGTON · PI LIU, ALVIN Y · 2004 to 2015
$4.1M
Urologic Epithelial Stem CellsU01DK063630 · NIDDK · UNIVERSITY OF WASHINGTON · PI LIU, ALVIN Y · 2002 to 2004
$2.4M
NCI NIH HHS CA111244NIDDK NIH HHS DK63630
6 · The paper itself

Abstract

backgroundProstate tumor heterogeneity is a major factor in disease management. Heterogeneity could be due to multiple cancer cell types with distinct gene expression. Of clinical importance is the so-called cancer stem cell type. Cell type-specific transcriptomes are used to examine lineage relationship among cancer cell types and their expression similarity to normal cell types including stem/progenitor cells.

methodsTranscriptomes were determined by Affymetrix DNA array analysis for the following cell types. Putative prostate progenitor cell populations were characterized and isolated by expression of the membrane transporter ABCG2. Stem cells were represented by embryonic stem and embryonal carcinoma cells. The cancer cell types were Gleason pattern 3 (glandular histomorphology) and pattern 4 (aglandular) sorted from primary tumors, cultured prostate cancer cell lines originally established from metastatic lesions, xenografts LuCaP 35 (adenocarcinoma phenotype) and LuCaP 49 (neuroendocrine/small cell carcinoma) grown in mice. No detectable gene expression differences were detected among serial passages of the LuCaP xenografts.

resultsBased on transcriptomes, the different cancer cell types could be clustered into a luminal-like grouping and a non-luminal-like (also not basal-like) grouping. The non-luminal-like types showed expression more similar to that of stem/progenitor cells than the luminal-like types. However, none showed expression of stem cell genes known to maintain stemness.

conclusionsNon-luminal-like types are all representatives of aggressive disease, and this could be attributed to the similarity in overall gene expression to stem and progenitor cell types.

Indexed as

Gene Expression Regulation, NeoplasticAC133 AntigenAnimalsAntigens, CDATP-Binding Cassette TransportersATP Binding Cassette Transporter, Subfamily G, Member 2Cell LineageCell Line, TumorGene Expression ProfilingGlycoproteinsHumansHyaluronan ReceptorsMaleMiceNeoplasm ProteinsNeoplastic Stem CellsABCG2 protein, humanAC133 AntigenAntigens, CDATP-Binding Cassette TransportersATP Binding Cassette Transporter, Subfamily G, Member 2GlycoproteinsHyaluronan ReceptorsNeoplasm ProteinsPeptides

Identifiers

PMID21605402
PMCPMC3113924

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Registered trials

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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.