Evidence map›Paper›PMID 21116856›Full record

ArticleMolecular biology reports2011

Expression of genes related to apoptosis, cell cycle and signaling pathways are independent of TP53 status in urinary bladder cancer cells.

Glenda N da Silva, Adriane F Evangelista, Danielle A Magalhães, Cláudia Macedo, Michelle C Búfalo, Elza T Sakamoto-Hojo, Geraldo A S Passos, Daisy M F Salvadori

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
2.4field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Nanoemulsion-enhanced cytotoxicity ofFrontiers in oncology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. E2F transcription factors associated with up-regulated genes in glioblastoma.Cancer biomarkers : section A of Disease markers · 2017
    Article
  10. Genomic characterization of three urinary bladder cancer cell lines: understanding genomic types of urinary bladder cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Article
  11. Article
  12. Article
  13. 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

8 authors at 3 institutions in 1 country.

Glenda N da SilvaFaculdade de Medicina de Botucatu, Botucatu Medical School, UNESP-São Paulo State University, Botucatu, SP, 18618-000, Brazil. nicioli@fmb.unesp.br
Adriane F Evangelista
Danielle A Magalhães
Cláudia Macedo
Michelle C Búfalo
Elza T Sakamoto-Hojo
Geraldo A S Passos
Daisy M F Salvadori
Universidade de São Paulo · BRUniversidade Estadual Paulista (Unesp) · BRUniversidade de Ribeirão Preto · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urinary bladder cancer is the fourth most common malignancy in the Western world. Transitional cell carcinoma (TCC) is the most common subtype, accounting for about 90% of all bladder cancers. The TP53 gene plays an essential role in the regulation of the cell cycle and apoptosis and therefore contributes to cellular transformation and malignancy; however, little is known about the differential gene expression patterns in human tumors that present with the wild-type or mutated TP53 gene. Therefore, because gene profiling can provide new insights into the molecular biology of bladder cancer, the present study aimed to compare the molecular profiles of bladder cancer cell lines with different TP53 alleles, including the wild type (RT4) and two mutants (5637, with mutations in codons 280 and 72; and T24, a TP53 allele encoding an in-frame deletion of tyrosine 126). Unsupervised hierarchical clustering and gene networks were constructed based on data generated by cDNA microarrays using mRNA from the three cell lines. Differentially expressed genes related to the cell cycle, cell division, cell death, and cell proliferation were observed in the three cell lines. However, the cDNA microarray data did not cluster cell lines based on their TP53 allele. The gene profiles of the RT4 cells were more similar to those of T24 than to those of the 5637 cells. While the deregulation of both the cell cycle and the apoptotic pathways was particularly related to TCC, these alterations were not associated with the TP53 status.

Indexed as

Gene Expression Regulation, NeoplasticApoptosisBayes TheoremCell CycleCell Line, TumorCluster AnalysisDNA, ComplementaryGene Expression ProfilingGene Regulatory NetworksGenes, NeoplasmHumansNeoplasm ProteinsOligonucleotide Array Sequence AnalysisSignal TransductionTumor Suppressor Protein p53Urinary Bladder NeoplasmsDNA, ComplementaryNeoplasm ProteinsTumor Suppressor Protein p53

Identifiers

PMID21116856
OpenAlexW2087638253

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.