uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Validation of the ezrin, CK20, and Ki-67 as potential predictive markers for BCG instillation therapy of non-muscle-invasive bladder cancer
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Urology.ORCID iD: 0000-0001-8572-9957
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Urology.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Urology.
2017 (English)In: Urologic Oncology, ISSN 1078-1439, E-ISSN 1873-2496, Vol. 35, no 8, 532.e1-532.e6 p.Article in journal (Refereed) Published
Abstract [en]

Objective: The aim of our study was to try to validate 3 promising predictive biomarkers in a database based on prospective trials comparing bacillus Calmette-Guerin(BCG) with mitomycin-C and a combination of epirubicin and interferon, respectively.

Background: The most common form of bladder cancer is non-muscle-invasive tumors treated initially with transurethral resection. Unfortunately more than half recur and some also progress. Consequently, an attempt to prevent poor outcome is frequently made by intravesical instillations either by chemo-orimmuno therapy. The response to such treatment is unpredictable, which is why markers predicting outcome would be valuable.

Patients and methods: Immunohistochemical expression of ezrin, CK20, and Ki-67 was evaluated in a tumort issue micro array based on 2 nordic multicenter trials comparing treatment with BCG vs. other intravesical adjuvant therapies. Kaplan- Meieranalysis, log-ranktest, and Cox regression were used toe valuate the effect of the biomarkers on recurrence-,progression-,and treatment failure- freesurvival.

Results: Of the 294 available patients immunoreactivity could be assessed in 285 patients for ezrin (97%), 285 patients for CK20 (97%), and 294 patient's forKi- 67 (100%). The 3 biomarkers did not predict time to any of the end points. Multi focality was the only predictive factor for time to recurrence (P=0.029) and progression (P=0.031). Ezrinwas, however, predictive for treatment failure (P=0.029) in a subgroup (BCG treated in one of the trials). In a multivariate analysis among BCG treated, none of the variables correlated to recurrence and only multifocality correlated top rogression. Limitations in our study are the retrospective design and those inherentto immunohistochemistry. Conclusions: The negative results from this validation study question the ability of the tested biomarkers to predict therapy effect.

Place, publisher, year, edition, pages
2017. Vol. 35, no 8, 532.e1-532.e6 p.
Keyword [en]
Biomarkers, Bladder cancer, Prognosis
National Category
Urology and Nephrology Cancer and Oncology
Identifiers
URN: urn:nbn:se:uu:diva-332673DOI: 10.1016/j.urolonc.2017.03.010ISI: 000407786400016OAI: oai:DiVA.org:uu-332673DiVA: diva2:1153776
Funder
Swedish Cancer Society
Available from: 2017-10-31 Created: 2017-10-31 Last updated: 2017-11-21Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Authority records BETA

Malmström, Per-UnoHemdan, TammerSegersten, Ulrika

Search in DiVA

By author/editor
Malmström, Per-UnoHemdan, TammerSegersten, Ulrika
By organisation
Urology
In the same journal
Urologic Oncology
Urology and NephrologyCancer and Oncology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 11 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf