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Woei-Yun Siow & Axel Meye & Oliver W. Hakenberg

Comparative quantitative evaluation of the XIAP, survivin & Ki67 transcript levels in urine & tissue samples of bladder cancer patients. Woei-Yun Siow & Axel Meye & Oliver W. Hakenberg Juliane Schmidt & Susanne Füssel & Catharina Rippel. Introduction.

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Woei-Yun Siow & Axel Meye & Oliver W. Hakenberg

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  1. Comparative quantitative evaluation of the XIAP, survivin & Ki67 transcript levels in urine & tissue samples of bladder cancer patients Woei-Yun Siow & Axel Meye & Oliver W. Hakenberg Juliane Schmidt & Susanne Füssel & Catharina Rippel

  2. Introduction • Bladder cancer (BCa): 4th most common cancer in men & 9th leading cause of death worldwide • cystoscopy & urine cytology: current gold standards for diagnosis & surveillance of BCa • no ideal tumor marker for non-invasive diagnostic & surveillance at the moment

  3. Objectives • to establish methods for quantitative transcript measurements in urine and tissue specimens (TUR-BT) • to determine suitability of transcript levels of different BCa-related genes (survivin, Ki67 and XIAP) in urine samples as diagnostic, surveillance and prognostic markers of BCa • to analyze marker expression in corresponding BCa tissue specimens in comparison to urine samples

  4. BCa-related genes • survivin & XIAP: inhibitor of apoptosis proteins (IAP) • Ki67: proliferation marker, essential for cell cycle progression • selectively over-expressed in most human malignancies incl. BCa • association between over-expression and higher stage & grade and with unfavorable prognosis • suitable markers (tissue and urine specimens ) and therapeutic targets for BCa

  5. Materials & Methods 1 • prospective study: February 2006 - January 2007 • inclusion criteria: • patients undergoing transurethral resection (TUR-BT) for newly diagnosed BCa, recurrent BCa & cystoscopically suspicious bladder lesions • exclusion criteria: • patients with PCa and non-urothelial tumors • controls • BPH patients • cystitis patients • healthy volunteers • BCa patients before cystectomy

  6. Materials & Methods 2 • BCa patients • pre-operative urine sample • intra-operative tumor tissue & “normal appearing” bladder mucosa • post-operative urine sample (1 POD) • for every TUR-BT (prim./sec./ tert., 4-6 weeks) • same procedure for recurrences • controls • 1 urine sample

  7. recurrence primary TUR-BT 4-6 Wochen recurrence secondary TUR-BT cystectomy 4-6 weeks tertiaryTUR-BT cystectomy Course of treatment for BCa patients

  8. Materials & Methods 3 • preparation of cellular components from urine • isolation of total RNA and cDNA-synthesis • quantitative PCR for transcript levels of survivin, XIAP & Ki67 and the reference gene TBP in urine and tissue samples • correlation of the relative expression levels (internal normalization to TBP) of survivin, XIAP & Ki67 with clinico-pathological data

  9. BCa patients (n=74 o. 77??) • age (median) = ?? yrs. (?? – ??) • M:F = 63 : 43 (59,4% : 40,6%) • newly diagnosed : recurrence = 92 : 14 (86,8% : 13,2%) • PSA (median; 58 pts.) = 1,195 (0,16 – 33,91) • tumor stage: 16 o. 14 o.15??? NT= no tumor detectable46? pTa 11? pT1 17? >pT1 • cis:92 :14 (86,6% : 13,2%) All pts with cis harbour high grade (G2/ G3) disease as well. • tumor grade: 16 o. 14 o.15??? NT no/excluded LMP (low malginancy potential) • 13 low grade • 59 high grade

  10. BCa patients 3 59 primary TUR 42 second op (33 sec TUR, 9 cystec) • 8 third op (6 tertiary TUR, 2 cystec) Controls

  11. Results 1 • 2 reference genes tested: TBP better than HPRT • urine specimens: negative correlation between reference gene expression & urinary contamination by RBCs, WBCs & bacteria  many samples with negative reference gene results (e.g. pts with infection or hematuria or post-TUR urines) • tissue specimens: less samples with negative reference gene results • target validation in tissue specimens, comparison Tu  Tf • target evaluation in urine specimens with regard to BCa diagnosis

  12. Tumor markers in unpaired tissue specimens Median values are presented.

  13. Ki67 / TBPin unpaired tissue specimens Ki67 / TBP: Tu (n=36): median mean Tf (n=65): median mean median Tu/median Tf  clear difference

  14. SVV / TBP for unpaired tissue specimens SVV / TBP: Tu (n=36): median mean Tf (n=36): median mean median Tu/median Tf  clear difference

  15. XIAP / TBP in unpaired tissue specimens XIAP / TBP: Tu (n=36): median mean Tf (n=65): median mean median Tu/median Tf  no difference!

  16. Tumor markers in paired tissue specimensDas drinne lassen??? Wie sehen die Daten aus??? Median values are presented.

  17. Tumor markers in urine specimens of BCa patients & controls For healthy controls the absent values were substituted by zero. Median values are presented.

  18. Ki67 / TBPin urine of BCa patients & controls Ki67 possibly suitable for discrimination

  19. SVV / TBP in urine of BCa patients & controls SVV possibly suitable for discrimination

  20. XIAP / TBP in urine of BCa patients & controls XIAP not rather suitable for discrimination

  21. Tumor markers in urine vs BCa stage Median values are presented.

  22. Ki67 in urine vs BCa stage continuous in Ki67 levels from superficial (pTa & pT1) to invasive BCa

  23. Survivin in urine vs BCa stage difference in SVV levels between superficial and invasive BCa

  24. XIAP in urine vs BCa stage clear difference in XIAP levels between superficial and invasive BCa

  25. Tumor markers in urine vs BCa grade Median values are presented.

  26. Ki67 in urine vs BCa grade increase of Ki67 levels with increasing grade

  27. Survivin in urine vs BCa grade slight increase of SVV levels with increasing grade

  28. XIAP in urine vs BCa grade increase of XIAP levels with increasing grade

  29. Conclusions & outlook • relative transcript levels of Ki67 and SVV possibly useful as BCa markers in urine samples • dependence on tumor stage and grade for both markers • XIAP not suitable for discrimination • continuation of sample collection for better statistical calculations • then definition of cut-off values for calculation of test performance in comparison to cytology • correlation with follow-up data  possibly prediction of recurrence (SVV as well-known predictor)

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