Evidence map›Paper›PMID 16412233›Full record

ArticleBMC cancer2006

Analysis of the interaction of extracellular matrix and phenotype of bladder cancer cells.

Mikhail G Dozmorov, Kimberly D Kyker, Ricardo Saban, Nicholas Knowlton, Igor Dozmorov, Michael B Centola, Robert E Hurst

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.4field-weighted citation impact, top 22% of its field
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

16 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Fragile GeneFrontiers in oncology · 2021
    Article
  5. Article
  6. Bioengineered models to study tumor dormancy.Journal of biological engineering · 2019
    Review
  7. Modeling human bladder cancer.World journal of urology · 2018
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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 at 3 institutions in 1 country.

Mikhail G DozmorovDepartment of Urology, Oklahoma University Health Sciences Centre, Oklahoma City, OK 73104, USA. Mikhail-Dozmorov@ouhsc.edu
Kimberly D Kyker
Ricardo Saban
Nicholas Knowlton
Igor Dozmorov
Michael B Centola
Robert E Hurst
Oklahoma Medical Research Foundation · USOU HealthUniversity of Oklahoma Health Sciences Center · US

Funding

VACCINE-TARGETED IDENTIFICATION OF FITNESS DETERMINANTS IN THE HIV-1 ENVELOPEP20RR016478 · NCRR · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI LEWIS, SHARON A · 2001 to 2011
$35.8M
UNDERSTANDING THE ROLE OF RETINOL DEHYDROGENASES RDH11 AND RDH12 IN VISIONP20RR017703 · NCRR · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI MANDAL, NAWAJES · 2002 to 2011
$23.6M
Genes &Proteins of Urothelial-ECM InteractionR01DK069808 · NIDDK · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI HURST, ROBERT EVAN · 2005 to 2009
$1.5M
BLADDER CANCER BIOMARKERS GUIDES TO SURGERY AND THERAPYR01CA075322 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI HURST, ROBERT EVAN · 1999 to 2003
$1.4M
NCI NIH HHS CA75322NCI NIH HHS R01 CA075322NCRR NIH HHS P20 RR016478NCRR NIH HHS P20 RR017703NCRR NIH HHS P20 RR1557NCRR NIH HHS P20 RR16478NCRR NIH HHS P20 RR17703NIDDK NIH HHS DK069808NIDDK NIH HHS R01 DK069808
6 · The paper itself

Abstract

backgroundThe extracellular matrix has a major effect upon the malignant properties of bladder cancer cells both in vitro in 3-dimensional culture and in vivo. Comparing gene expression of several bladder cancer cells lines grown under permissive and suppressive conditions in 3-dimensional growth on cancer-derived and normal-derived basement membrane gels respectively and on plastic in conventional tissue culture provides a model system for investigating the interaction of malignancy and extracellular matrix. Understanding how the extracellular matrix affects the phenotype of bladder cancer cells may provide important clues to identify new markers or targets for therapy.

methodsFive bladder cancer cell lines and one immortalized, but non-tumorigenic, urothelial line were grown on Matrigel, a cancer-derived ECM, on SISgel, a normal-derived ECM, and on plastic, where the only ECM is derived from the cells themselves. The transcriptomes were analyzed on an array of 1186 well-annotated cancer derived cDNAs containing most of the major pathways for malignancy. Hypervariable genes expressing more variability across cell lines than a set expressing technical variability were analyzed further. Expression values were clustered, and to identify genes most likely to represent biological factors, statistically over-represented ontologies and transcriptional regulatory elements were identified.

resultsApproximately 400 of the 1186 total genes were expressed 2 SD above background. Approximately 100 genes were hypervariable in cells grown on each ECM, but the pattern was different in each case. A core of 20 were identified as hypervariable under all 3 growth conditions, and 33 were hypervariable on both SISgel and Matrigel, but not on plastic. Clustering of the hypervariable genes showed very different patterns for the same 6 cell types on the different ECM. Even when loss of cell cycle regulation was identified, different genes were involved, depending on the ECM. Under the most permissive conditions of growth where the malignant phenotype was fully expressed, activation of AKT was noted. TGFbeta1 signaling played a major role in the response of bladder cancer cells to ECM. Identification of TREs on genes that clustered together suggested some clustering was driven by specific transcription factors.

conclusionThe extracellular matrix on which cancer cells are grown has a major effect on gene expression. A core of 20 malignancy-related genes were not affected by matrix, and 33 were differentially expressed on 3-dimensional culture as opposed to plastic. Other than these genes, the patterns of expression were very different in cells grown on SISgel than on Matrigel or even plastic, supporting the hypothesis that growth of bladder cancer cells on normal matrix suppresses some malignant functions. Unique underlying regulatory networks were driving gene expression and could be identified by the approach outlined here.

Indexed as

Gene Expression Regulation, NeoplasticPhenotypeCell Line, TumorExtracellular MatrixGene Expression ProfilingHumansOligonucleotide Array Sequence AnalysisRegulatory Elements, TranscriptionalUrinary Bladder Neoplasms

Identifiers

PMID16412233
PMCPMC1360102
OpenAlexW1492748882

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.