Prediction and diagnosis of bladder cancer recurrence based on urinary content of hTERT, SENP1, PPP1CA, and MCM5 transcripts.
Background: Identification of urinary biomarkers for detection of bladder cancer recurrence would be beneficial to minimize the frequency of cystoscopy. Our objective was to determine the usability of urine content of mRNA in the detection and prediction of bladder cancer recurrence.Methods: We anal...
| Publicado en: | BMC Cancer Vol. 10; pp. 646 - 647 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
BioMed Central
2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104993960&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104993960 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14712407 1CH9 jtl: BMC Cancer issn: 14712407 maglogo: N pubinfo: dt: 2010 vid: 10 pid: 24147 pub: BioMed Central artinfo: ui: 104993960 NLM21106093 2010916451 10.1186/1471-2407-10-646 NLM21106093 PMC3001447 104993960 ppf: 646 ppct: 1 formats: tig: atl: Prediction and diagnosis of bladder cancer recurrence based on urinary content of hTERT, SENP1, PPP1CA, and MCM5 transcripts. aug: au: Brems-Eskildsen, Anne Sofie Zieger, Karsten Toldbod, Helle Holcomb, Cherie Higuchi, Russell Mansilla, Francisco Munksgaard, Pia P Borre, Michael ørntoft, Torben F Dyrskjøt, Lars Ørntoft, Torben F affil: Department of Molecular Medicine, Aarhus University Hospital, Skejby, Denmark. sug: subj: Cell Cycle Proteins Peptide Hydrolases Neoplasm Recurrence, Local Esterases RNA Urine Transferases Tumor Markers, Biological Bladder Neoplasms Diagnosis Aged Biopsy Cross Sectional Studies Cystoscopy Denmark Female Human Male Neoplasm Staging Predictive Value of Tests Prognosis Prospective Studies Reverse Transcriptase Polymerase Chain Reaction Sensitivity and Specificity Time Factors Bladder Neoplasms Bladder Neoplasms Pathology Bladder Neoplasms Urine Aged: 65+ years Female Male ab: Background: Identification of urinary biomarkers for detection of bladder cancer recurrence would be beneficial to minimize the frequency of cystoscopy. Our objective was to determine the usability of urine content of mRNA in the detection and prediction of bladder cancer recurrence.Methods: We analyzed 123 prospectively cross-sectional collected urine samples from 117 patients with bladder cancer (12 incident cancers and 111 control visits). We used biopsies from cystoscopies as diagnostic criteria for recurrence, and followed the patients for a median time of 28.5 months (range 0-44 months). We measured the levels of hTERT, SENP1, PPP1CA, and MCM5 mRNA in urine by q-RT- PCR.Results: We found significant differences in urinary content of hTERT (p < 0.001), SENP1 (p < 0.001), MCM5 (p < 0.001), and PPP1CA (p < 0.001) transcripts, when comparing urine samples from patients with and without tumor present in the bladder. We obtained sensitivity and specificity values for hTERT: 63/73, SENP1: 56/78, MCM5: 63/66, and PPP1CA: 69/63, respectively. Including follow-up data resulted in sensitivity and specificity values for hTERT: 62/84, SENP1:53/84, MCM5: 61/73, and PPP1CA: 65/66. Interestingly, at non-tumor visits the urinary content of especially hTERT (p = 0.0001) and MCM5 (p = 0.02) were significantly associated with subsequent tumour recurrence. Combining the markers with cytology improved the detection. The best combination was hTERT and cytology with a sensitivity of 71% and a specificity of 86% after follow-up. Further prospective validation or registration studies needs to be carried out before clinical use.Conclusions: We could use the urinary content of hTERT, SENP1, PPP1CA, and MCM5 to detect bladder cancer recurrence. All markers showed a higher sensitivity than cytology. The detection rate improved when including cytology results, but also the combination of hTERT and MCM5 increased the detection rate. Furthermore, hTERT and MCM5 levels predicted subsequent tumor recurrences. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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