Comparative quantitative evaluation of the XIAP, survivin & Ki67 transcript levels in urine & tissue samples of bladder cancer patients Woei-Yun Siow &

Slides:



Advertisements
Similar presentations
Updated Abstract T2:ERG Correlation with PCa Aggressiveness Conclusions T2:ERG Assay Clinical Performance The T2:ERG assay described has not been approved.
Advertisements

Transitional Cell Carcinoma of the Urinary Tract
The Role of Urine cytology in the investigation of Haematuria? B Barrass Audit Meeting 17 th May 2006.
Bladder tumors 3 times more common in men
Tumor Markers Lecture one By Dr. Reem Sallam. Objectives  To briefly introduce cancers, their incidence, some common terms, and staging system.  To.
Clinical Trial Designs for the Evaluation of Prognostic & Predictive Classifiers Richard Simon, D.Sc. Chief, Biometric Research Branch National Cancer.
Tab.1: Relative transcript levels of prostate-related genes in prostate tissues and cell lines (zmol gene/zmol TBP) * Data for the prostate-related genes.
Is the BRAF V600E mutation useful as a predictor of preoperative risk in papillary thyroid cancer? The American Journal of Surgery.
Tumor Markers Lecture one By Dr. Waheed Al-Harizi.
Introduction of Cancer Molecular Epidemiology Zuo-Feng Zhang, MD, PhD University of California Los Angeles.
Thoughts on Biomarker Discovery and Validation Karla Ballman, Ph.D. Division of Biostatistics October 29, 2007.
M Ravanbod Medical oncologist Bushehr – 11/91 A 50 y/o white man comes for check up and wants to discuss about prostate cancer. Negative family history.
Comparative quantitative evaluation of the XIAP, survivin & Ki67 transcript levels in urine & tissue samples of bladder cancer patients.
Eleni Galani Medical Oncologist
EPCA: A silver lining for early diagnosis of prostate cancer GHOLAMREZA POURMAND, MD Professor of Urology Urology Research Center Tehran University of.
. Quantitative multi-gene expression profiling of primary prostate cancer* Meye A, Schmidt U 1, Füssel S, Koch R, Baretton GB, Lohse A, Tomasetti S, Froehner.
Introduction & Objectives: This study describes the evaluation of the expression pattern of prostate-specific transcripts in 106 matched prostate tissues.
Tab.2: Diagnostic rule for the 4-gene logit model for the prediction of PCa Transcript levels of the 4 transcript markers of one patient are given as calculation.
Surrogate End point for Prostate Cancer- Specific Mortality After RP or EBRT A D’Amico J Nat Ca Inst 95,
Role of Biomarkers in Management of Prostate Cancer Dr. Angela Amayo Specialist Pathologist 13 th April 2012.
#627: Multitarget gene inhibition by synthetic nucleic acids in bladder cancer cells Burmeister Y, Kraemer K, Fuessel S, Kotzsch M #, Meye A*, Hakenberg.
EDRN Approaches to Biomarker Validation DMCC Statisticians Fred Hutchinson Cancer Research Center Margaret Pepe Ziding Feng, Mark Thornquist, Yingye Zheng,
The PCA3 Assay improves the prediction of initial biopsy outcome and may be indicative of prostate cancer aggressiveness de la Taille A, Irani J, Graefen.
Manfred P. Wirth Department of Urology Technical University of Dresden [supported by a grant from the DFG] Diagnostic potential of transcript signatures.
S. Fuessel 1, S. Unversucht 1, R. Koch 2, G. Baretton 3, A. Lohse 1, S. Tomasetti 1, M. Haase 3, M. Toma 3, M. Froehner 1, A. Meye 1, M.P. Wirth 1 1 Department.
SiRNA-mediated Down-Regulation of Survivin Inhibits Bladder Cancer Cell Growth S. Fuessel, S.Ning, M. Kotzsch #, K. Kraemer, M. Kappler*, U. Schmidt, H.
A Quantitative Multi-Gene RT-PCR Assay for Prediction of Recurrence in Stage II Colon Cancer (CC): Selection of the Genes in 4 Large Studies and Results.
Prognose mittels Genexpression Prof. Martin H. Brutsche Kantonsspital St. Gallen-CH.
Materials & Methods prospective study: February January 2007 prospective study: February January 2007 inclusion criteria: inclusion criteria:
Improved Detection of Bladder Cancer in Diagnosis and Surveillance Patients Using a Point-of-Care Proteomic Assay Barry Stein, M.D. G. Katz, M.D. NMP22.
Management of T1G3 Bladder cancer Dr Charles Chabert.
4. DPKK Workshop in Bonn/Königswinter Quantitative multi-gene expression analyses on paired prostate tissue samples from radical prostatectomies.
Bladder cancer is the second most common cancer of the genitourinary tract. The incidence is higher in whites than in African Americans. The average age.
EORTC scores of recurrence and progression in a Romanian cohort First author: Anda Ştefan Co-authors: Radu Mihail Boja, PhD Ovidiu Ioan Golea, PhD Ladislau.
INCREASED EXPRESSION OF PROTEIN KINASE CK2  SUBUNIT IN HUMAN GASTRIC CARCINOMA Kai-Yuan Lin 1 and Yih-Huei Uen 1,2,3 1 Department of Medical Research,
Neoplasms of the bladder
Materials & Methods prospective study: February 2006 – December 2008 prospective study: February 2006 – December 2008 inclusion criteria: inclusion criteria:
Clinical variables, pathological factors, and molecular markers for enhanced soft tissue sarcoma prognostication G. Lahat, B. Wang, D. Tuvin, DA. Anaya,
Results 1 comparison for 5 systems containing the SNP at postion 1 to 5 of the up-stream probe  systems 2-5 work well, system 3 offers most stable & reliable.
Inhibition of C13orf19 mRNA expression by siRNA in prostate cancer cells * Introduction A high proportion of bladder cancer.
Discussion The C13orf19 mRNA inhibition by D5 has no effects on cellular growth properties. We suppose that the inhibition leads to reduced apoptosis in.
Poster Title ABSTRACT #59 Cell cycle progression genes differentiate indolent from aggressive prostate cancer. Steven Stone 1 Jack Cuzick 2, Julia Reid.
Tumor Markers American cancer society British Journal of Cancer By B.Heidari.
Tumor clock protein PER2 as a determinant of survival in patients (pts) receiving oxaliplatin-5-FU- leucovorin as 1st line chemotherapy for metastatic.
CHFR METHYLATION AS AN EPIGENETIC MARKER FOR RECURRENCE OF COLON CANCER M. D. Anderson Cancer Center, Houston, Texas Motofumi Tanaka, Salil Sethi, Donghui.
Understanding Cancer and Related Topics
Blood and Tissue Based Molecular Signatures in Predicting Prostate Cancer Progression Tarek A. Bismar, MD Professor, University of Calgary Departments.
Anaplastic thyroid cancer based on ATA guideline for Management of Patients with ATC. Thyroid. 2012;22: R3 이정록.
 Visual exam A laboratory technician will examine the urine's appearance. Urine is typically clear. Cloudiness or unusual  odor may indicate a problem.
Statistical Considerations for Detection of Bladder Cancer by Microsatellite Analysis (MSA) of Urinary Sediment: Multi-Institutional Study Presentation.
Bladder Cancer Mark Browning, M.D. ‘ IUSME.
Adjuvant and Neoadjuvant Therapy in Non- Small Cell Lung Cancer Seminars in Oncology 2oo5;32 (suppl 2):S9-S15 Kyung Hee Medical Center Department of Thoracic.
Annals of Oncology 23: 298–304, 2012 종양혈액내과 R4 김태영 / prof. 김시영.
HE-4 TRIAL Prospective phase II trial on the prognostic and predictive value of HE-4 regression during neoadjuvant chemotherapy for advanced ovarian, Fallopian.
Urothelial tumors Tumors in the collecting system above the bladder are relatively uncommon. These tumors are classified into : 1 benign papilloma. 2-papillary.
R2 김재민 / Prof. 정재헌 Journal conference 1.
R3 조 욱 Salivary Transcriptomic Biomarkers for Detection of Resectable Pancreatic Cancer Articles LEI ZHANG, JAMES J. FARRELL, HUI ZHOU, DAVID ELASHOFF,
UROVYSION® FISH Urine Cytology Assessment: Principles and Concepts
SURGICAL ONCOLOGY AND TUMOR MARKERS
MicroRNA-34a: a key regulator in the hallmarks of renal cell carcinoma
The Value of Measurement of Circulating Tumor Cells in Hepatocellular Carcinoma Nashwa Sheble, Gehan Hamdy, Moones A Obada, Gamal Y Abouria, Fatma Khalaf.
Institute of Oncology “Ion Chiricuță”, Cluj, Romania
Information for participating Sites
Loyola Marymount University
Role of cytokeratins in the diagnosis and prognosis of the bladder cancer Giorgi Adeishvili MD Multiprofile clinic Consilium Medulla.
Urinary bladder cancer
Loyola Marymount University
Loyola Marymount University
Loyola Marymount University
Loyola Marymount University
Presentation transcript:

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

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

BCa-related genes survivin & XIAP: inhibitor of apoptosis proteins (IAP)survivin & XIAP: inhibitor of apoptosis proteins (IAP) Ki67: proliferation marker, essential for cell cycle progressionKi67: proliferation marker, essential for cell cycle progression selectively over-expressed in most human malignancies incl. BCaselectively over-expressed in most human malignancies incl. BCa association between over-expression and higher stage & grade and with unfavorable prognosisassociation between over-expression and higher stage & grade and with unfavorable prognosis suitable markers (tissue and urine specimens ) and therapeutic targets for BCasuitable markers (tissue and urine specimens ) and therapeutic targets for BCa

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

Materials & Methods 2 BCa patientsBCa 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 controlscontrols –1 urine sample

Course of treatment for BCa patients primary TUR-BT cystectomysecondary TUR-BT tertiaryTUR-BTcystectomy 4-6 Wochen 4-6 weeks recurrence

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

BCa patients (n=74 o. 77??) age (median) = ?? yrs. (?? – ??)age (median) = ?? yrs. (?? – ??) M:F = 63 : 43 (59,4% : 40,6%)M:F = 63 : 43 (59,4% : 40,6%) newly diagnosed : recurrence = 92 : 14 (86,8% : 13,2%)newly diagnosed : recurrence = 92 : 14 (86,8% : 13,2%) PSA (median; 58 pts.) = 1,195 (0,16 – 33,91)PSA (median; 58 pts.) = 1,195 (0,16 – 33,91) tumor stage:16 o. 14 o.15??? NT= no tumor detectable 46?pTa 11?pT1 17? >pT1tumor stage:16 o. 14 o.15??? NT= no tumor detectable 46?pTa 11?pT1 17? >pT1 cis:92 :14 (86,6% : 13,2%) 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??? NTtumor grade: 16 o. 14 o.15??? NT no/excluded LMP (low malginancy potential) no/excluded LMP (low malginancy potential) »13 low grade »59 high grade

BCa patients 3  59 primary TUR  42 second op (33 sec TUR, 9 cystec)  8 third op (6 tertiary TUR, 2 cystec) Controls BPHcystitishealthy yrs (52-85) 64 yrs (19-85) 31 yrs (18-59) PSA median 2.9 (0.3 – 33.9) M : F 3 (23.1%) :10 (76.9%) M : F 7 (25.9 %) :20 (74.1 %)

Results 1 2 reference genes tested: TBP better than HPRT2 reference genes tested: TBP better than HPRT urine specimens: negative correlation between reference gene expression & urinary contamination by RBCs, WBCs & bacteriaurine 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) (e.g. pts with infection or hematuria or post-TUR urines) tissue specimens: less samples with negative reference gene resultstissue specimens: less samples with negative reference gene results target validation in tissue specimens, comparison Tu  Tftarget validation in tissue specimens, comparison Tu  Tf target evaluation in urine specimens with regard to BCa diagnosistarget evaluation in urine specimens with regard to BCa diagnosis

Tumor markers in unpaired tissue specimens unpaired tissue samples Ki67 / TBP SVV / TBP XIAP / TBP tumor tissue (36) tumor free (65) median Tu / median Tf Median values are presented.

Ki67 / TBP in unpaired tissue specimens Ki67 / TBP: Tu (n=36): medianmean Tf (n=65): medianmean median Tu/median Tf  clear difference

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

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

Tumor markers in paired tissue specimens Das drinne lassen??? Wie sehen die Daten aus??? paired tissue samples (??) Ki67 / TBP SVV / TBP XIAP / TBP tumor tissue tumor free median Tu / median Tf pairwise ratio Tu / Tf >1 <1 Median values are presented.

Tumor markers in urine specimens of BCa patients & controls clinical diagnosis Ki67 / TBPSVV / TBPXIAP / TBP BCa (69-77) (positive histo) no tumor (16) (negative histo) BPH (18-28) cystitis (5) healthy (34-40)   For healthy controls the absent values were substituted by zero. Median values are presented.

Ki67 / TBP in urine of BCa patients & controls Ki67 possibly suitable for discrimination

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

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

Tumor markers in urine vs BCa stage BT pri TUR Ki67 / TBP SVV / TBP XIAP / TBP healthy (32-40) no tumor (14-15) pTa (42-46) Pt1(9-11) > pT1(15-17) Median values are presented.

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

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

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

Tumor markers in urine vs BCa grade BT pri TUR Ki67 / TBP SVV / TBP XIAP / TBP healthy (32-40) no tumor (14-15) low grade (11-13) high grade (55-59) Median values are presented.

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

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

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

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