Evidence map›Paper›PMID 18377416›Full record

ReviewCancer science2008

Molecular biomarkers in urothelial bladder cancer.

Wun-Jae Kim, Suk-Chul Bae

Abstract readReview
In one paragraph

Review in Cancer science, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Review
  2. The Impact of miR-122 on Cancer.Current pharmaceutical biotechnology · 2024
    Review
  3. Review
  4. Article
  5. Article
  6. Study on the mechanism of action ofFrontiers in pharmacology · 2022
    Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Long noncoding RNAAging · 2019
    Article
  12. Effects of Long Noncoding RNA H19 Polymorphisms on Urothelial Cell Carcinoma Development.International journal of environmental research and public health · 2019
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. MicroRNA-195 inhibits epithelial-mesenchymal transition via downregulating CDK4 in bladder cancer.International journal of clinical and experimental pathology · 2018
    Article
  18. MicroRNA-195: a review of its role in cancers.OncoTargets and therapy · 2018
    Review
  19. Article
  20. 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

2 authors.

Wun-Jae KimDepartment of Urology, College of Medicine, Chungbuk National University, Cheongju 361-763, South Korea. wjkim@chungbuk.ac.kr
Suk-Chul Bae

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bladder cancers are a mixture of heterogeneous cell populations, and numerous factors are likely to be involved in dictating their recurrence, progression, and the patient's survival. For any candidate prognostic marker to have considerable clinical relevance, it must add some predictive capacity beyond that offered by the conventional clinical and pathological parameters. None of the biomarkers reported to date have shown sufficient sensitivity and specificity for detecting the whole spectrum of bladder cancer diseases in routine clinical practice. The limitations of established prognostic markers requires us to identify better molecular parameters that could be of interest in predicting the prognosis of bladder cancer patients, in particular, the high-risk patient groups that are at risk of progression and recurrence. Recent progress in epigenetic modification and gene silencing opened a new avenue for the identification of epigenetic markers, which appears to be more useful for cancer diagnosis and prognosis. Although epigenetic markers also have limitations, the combined epigenetic marker approach may increase sensitivity and reliability. The epigenetic silencing of tumor-suppressor genes is interesting from a clinical standpoint because of the possibility of reversing epigenetic changes and restoring gene function in a cell. In addition, microarray technology provides us with additional tools for the analysis of global gene-expression analysis of tumor samples. Future microarray analyses are likely to reveal particular gene-expression signatures that predict the likelihood of bladder cancer progression and recurrence, as well as a patient's survival and responsiveness to different anticancer therapies, with great specificity and sensitivity.

Indexed as

Epigenesis, GeneticBiomarkers, TumorCarcinomaDrug DesignGene Expression ProfilingHumansPolymorphism, GeneticPrognosisUrinary Bladder NeoplasmsUrotheliumBiomarkers, Tumor

Identifiers

PMID18377416
PMCPMC11160052

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.