Prediction of recurrence in Ta urothelial cell carcinoma by real-time quantitative PCR analysis: A microarray validation study
Iman J. Schultz
Department of Clinical Chemistry, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
Search for more papers by this authorKenneth Wester
Department of Genetics and Pathology, Rudbeck Laboratory, Uppsala University Hospital, Uppsala, Sweden
Search for more papers by this authorHuub Straatman
Department of Epidemiology and Biostatistics, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
Search for more papers by this authorLambertus A. Kiemeney
Department of Epidemiology and Biostatistics, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
Department of Urology, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
Search for more papers by this authorMarko Babjuk
Department of Urology, General Faculty Hospital, Charles University, Prague, Czech Republic
Search for more papers by this authorJaroslav Mares
Institute of Biology and Medical Genetics, Charles University, Prague, Czech Republic
Search for more papers by this authorJohanner L. Willems
Department of Clinical Chemistry, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
Search for more papers by this authorCorresponding Author
Dorine W. Swinkels
Department of Clinical Chemistry, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
Fax: +31-243541743
AKC/441, Radboud University Nijmegen Medical Center, P.O. Box 9101, 6500 HB Nijmegen, The NetherlandsSearch for more papers by this authorJ. Alfred Witjes
Department of Urology, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
Search for more papers by this authorJacques B. de Kok
Department of Clinical Chemistry, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
Search for more papers by this authorPer-Uno Malmström
Department of Surgical Sciences, Uppsala University Hospital, Uppsala, Sweden
Search for more papers by this authorIman J. Schultz
Department of Clinical Chemistry, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
Search for more papers by this authorKenneth Wester
Department of Genetics and Pathology, Rudbeck Laboratory, Uppsala University Hospital, Uppsala, Sweden
Search for more papers by this authorHuub Straatman
Department of Epidemiology and Biostatistics, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
Search for more papers by this authorLambertus A. Kiemeney
Department of Epidemiology and Biostatistics, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
Department of Urology, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
Search for more papers by this authorMarko Babjuk
Department of Urology, General Faculty Hospital, Charles University, Prague, Czech Republic
Search for more papers by this authorJaroslav Mares
Institute of Biology and Medical Genetics, Charles University, Prague, Czech Republic
Search for more papers by this authorJohanner L. Willems
Department of Clinical Chemistry, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
Search for more papers by this authorCorresponding Author
Dorine W. Swinkels
Department of Clinical Chemistry, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
Fax: +31-243541743
AKC/441, Radboud University Nijmegen Medical Center, P.O. Box 9101, 6500 HB Nijmegen, The NetherlandsSearch for more papers by this authorJ. Alfred Witjes
Department of Urology, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
Search for more papers by this authorJacques B. de Kok
Department of Clinical Chemistry, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
Search for more papers by this authorPer-Uno Malmström
Department of Surgical Sciences, Uppsala University Hospital, Uppsala, Sweden
Search for more papers by this authorAbstract
Accurate prediction of tumor recurrence in patients with superficial urothelial cell carcinoma (UCC) might result in a significant reduction of invasive follow-up cystoscopies. A recent study identified a panel of 26 genes from a large cDNA microarray analysis of bladder tumors that discriminated between early- and late-recurring patients with superficial Ta tumors (Dyrskjøt et al., Nat Genet 2003;33:90–6). We aimed to validate this panel of genes in 44 primary Ta UCCs (23 and 21 tumors from patients with short or prolonged recurrence-free periods, respectively), by real-time quantitative PCR. Statistical analysis showed marginal significant different mRNA expression levels between the 2 patient groups. To evaluate a supplementary effect of genes for the identification of patients with short or prolonged recurrence-free intervals, forward logistic regression analysis was applied. This revealed that a combination of the expression profiles of the genes HNRPK, LTB4DH and ANP32B resulted in the best performance, although the combination only marginally increased the predictive value of HNRPK alone. Comparing the receiver-operating-characteristic curves for HNRPK expression among patients with short or prolonged recurrence-free periods, revealed an area under the curve of 0.696 (95% CI, 0.537–0.855). Using the median HNRPK expression level as cut-off, a sensitivity of 69.6% and a specificity of 71.4% were obtained for the identification of patients with short or prolonged recurrence-free periods, respectively. In conclusion, we were not able to confirm the microarray gene expression pattern of the 26 genes shown by Dyrskjøt et al. The discovery of accurate recurrence predictive markers, therefore, remains a challenge. © 2006 Wiley-Liss, Inc.
Supporting Information
This article contains supplementary material available via the Internet at http://www.interscience.wiley.com/jpages/0020-7136/suppmat .
Filename | Description |
---|---|
jws-ijc.22059.pdf16.4 KB | Supporting Information file jws-ijc.22059.pdf |
Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
References
- 1 Millan-Rodriguez F, Chechile-Toniolo G, Salvador-Bayarri J, Palou J, Algaba F, Vicente-Rodriguez J. Primary superficial bladder cancer risk groups according to progression, mortality and recurrence. J Urol 2000; 164: 680–4.
- 2 Millan-Rodriguez F, Chechile-Toniolo G, Salvador-Bayarri J, Palou J, Vicente-Rodriguez J. Multivariate analysis of the prognostic factors of primary superficial bladder cancer. J Urol 2000; 163: 73–8.
- 3 Holmang S, Hedelin H, Anderstrom C, Holmberg E, Busch C, Johansson SL. Recurrence and progression in low grade papillary urothelial tumors. J Urol 1999; 162: 702–7.
- 4 Bol MG, Baak JP, Buhr-Wildhagen S, Kruse AJ, Kjellevold KH, Janssen EA, Mestad O, Ogreid P. Reproducibility and prognostic variability of grade and lamina propria invasion in stages Ta, T1 urothelial carcinoma of the bladder. J Urol 2003; 169: 1291–4.
- 5 Tosoni I, Wagner U, Sauter G, Egloff M, Knonagel H, Alund G, Bannwart F, Mihatsch MJ, Gasser TC, Maurer R. Clinical significance of interobserver differences in the staging and grading of superficial bladder cancer. BJU Int 2000; 85: 48–53.
- 6 Kiemeney LA, Witjes JA, Heijbroek RP, Verbeek AL, Debruyne FM. Predictability of recurrent and progressive disease in individual patients with primary superficial bladder cancer. J Urol 1993; 150: 60–4.
- 7 Santos L, Amaro T, Costa C, Pereira S, Bento MJ, Lopes P, Oliveira J, Criado B, Lopes C. Ki-67 index enhances the prognostic accuracy of the urothelial superficial bladder carcinoma risk group classification. Int J Cancer 2003; 105: 267–72.
- 8 van Rhijn BW, Lurkin I, Radvanyi F, Kirkels WJ, van der Kwast TH, Zwarthoff EC. The fibroblast growth factor receptor 3 (FGFR3) mutation is a strong indicator of superficial bladder cancer with low recurrence rate. Cancer Res 2001; 61: 1265–8.
- 9 Ku JH, Kwak C, Lee HS, Park HK, Lee E, Lee SE. Expression of survivin, a novel inhibitor of apoptosis, in superficial transitional cell carcinoma of the bladder. J Urol 2004; 171: 631–5.
- 10 Yamamoto Y, Matsuyama H, Furuya T, Oga A, Yoshihiro S, Okuda M, Kawauchi S, Sasaki K, Naito K. Centrosome hyperamplification predicts progression and tumor recurrence in bladder cancer. Clin Cancer Res 2004; 10: 6449–55.
- 11 Tada Y, Wada M, Taguchi K, Mochida Y, Kinugawa N, Tsuneyoshi M, Naito S, Kuwano M. The association of death-associated protein kinase hypermethylation with early recurrence in superficial bladder cancers. Cancer Res 2002; 62: 4048–53.
- 12 Schultz IJ, Kiemeney LA, Witjes JA, Schalken JA, Willems JL, Swinkels DW, de Kok JB. Survivin mRNA expression is elevated in malignant urothelial cell carcinomas and predicts time to recurrence. Anticancer Res 2003; 23: 3327–31.
- 13 van Rhijn BW, Vis AN, van der Kwast TH, Kirkels WJ, Radvanyi F, Ooms EC, Chopin DK, Boeve ER, Jobsis AC, Zwarthoff EC. Molecular grading of urothelial cell carcinoma with fibroblast growth factor receptor 3 and MIB-1 is superior to pathologic grade for the prediction of clinical outcome. J Clin Oncol 2003; 21: 1912–21.
- 14 Modlich O, Prisack HB, Pitschke G, Ramp U, Ackermann R, Bojar H, Vogeli TA, Grimm MO. Identifying superficial, muscle-invasive, and metastasizing transitional cell carcinoma of the bladder: use of cDNA array analysis of gene expression profiles. Clin Cancer Res 2004; 10: 3410–21.
- 15 Mor O, Nativ O, Stein A, Novak L, Lehavi D, Shiboleth Y, Rozen A, Berent E, Brodsky L, Feinstein E, Rahav A, Morag K, et al. Molecular analysis of transitional cell carcinoma using cDNA microarray. Oncogene 2003; 22: 7702–10.
- 16 Dyrskjot L, Thykjaer T, Kruhoffer M, Jensen JL, Marcussen N, Hamilton-Dutoit S, Wolf H, Orntoft TF. Identifying distinct classes of bladder carcinoma using microarrays. Nat Genet 2003; 33: 90–6.
- 17 Sanchez-Carbayo M, Socci ND, Charytonowicz E, Lu M, Prystowsky M, Childs G, Cordon-Cardo C. Molecular profiling of bladder cancer using cDNA microarrays: defining histogenesis and biological phenotypes. Cancer Res 2002; 62: 6973–80.
- 18 Thykjaer T, Workman C, Kruhoffer M, Demtroder K, Wolf H, Andersen LD, Frederiksen CM, Knudsen S, Orntoft TF. Identification of gene expression patterns in superficial and invasive human bladder cancer. Cancer Res 2001; 61: 2492–9.
- 19 Epstein JI, Amin MB, Reuter VR, Mostofi FK. The World Health Organization/International Society of Urological Pathology consensus classification of urothelial (transitional cell) neoplasms of the urinary bladder. Bladder Consensus Conference Committee. Am J Surg Pathol 1998; 22: 1435–48.
- 20 Spiessl B, Beahrs OH, Hermanek P, Hutter RV, Scheibe O, Sobin LH. Anonymous TNM atlas: illustrated guide to the TNM/pTNM classification of malignant tumors, 3rd edn, 2nd revision. Berlin: Springer-Verlag, 1992. 274–79.
- 21 de Kok JB, Roelofs RW, Giesendorf BA, Pennings JL, Waas ET, Feuth T, Swinkels DW, Span PN. Normalization of gene expression measurements in tumor tissues: comparison of 13 endogenous control genes. Lab Invest 2005; 85: 154–9.
- 22 Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods 2001; 25: 402–8.
- 23 Eisen MB, Spellman PT, Brown PO, Botstein D. Cluster analysis and display of genome-wide expression patterns. Proc Natl Acad Sci USA 1998; 95: 14863–8.
- 24 Michiels S, Koscielny S, Hill C. Prediction of cancer outcome with microarrays: a multiple random validation strategy. Lancet 2005; 365: 488–92.
- 25 Ntzani EE, Ioannidis JP. Predictive ability of DNA microarrays for cancer outcomes and correlates: an empirical assessment. Lancet 2003; 362: 1439–44.
- 26 Chuaqui RF, Bonner RF, Best CJ, Gillespie JW, Flaig MJ, Hewitt SM, Phillips JL, Krizman DB, Tangrea MA, Ahram M, Linehan WM, Knezevic V, et al. Post-analysis follow-up and validation of microarray experiments. Nat Genet 2002; 32 ( Suppl): 509–14.
- 27 Espinosa E, Vara JA, Redondo A, Sanchez JJ, Hardisson D, Zamora P, Gomez PF, Cejas P, Martinez B, Suarez A, Calero F, Baron MG. Breast cancer prognosis determined by gene expression profiling: a quantitative reverse transcriptase polymerase chain reaction study. J Clin Oncol 2005; 23: 7278–85.
- 28 Koscielny S, Michiels S, Boige V, Hill C. Validation of microarray data by quantitative reverse-transcriptase polymerase chain reaction. J Clin Oncol 2005; 23: 9439–40.
- 29 Ma XJ, Wang Z, Ryan PD, Isakoff SJ, Barmettler A, Fuller A, Muir B, Mohapatra G, Salunga R, Tuggle JT, Tran Y, Tran D, et al. A two-gene expression ratio predicts clinical outcome in breast cancer patients treated with tamoxifen. Cancer Cell 2004; 5: 607–16.
- 30 Reid JF, Lusa L, De Cecco L, Coradini D, Veneroni S, Daidone MG, Gariboldi M, Pierotti MA. Limits of predictive models using microarray data for breast cancer clinical treatment outcome. J Natl Cancer Inst 2005; 97: 927–30.
- 31 Endoh H, Tomida S, Yatabe Y, Konishi H, Osada H, Tajima K, Kuwano H, Takahashi T, Mitsudomi T. Prognostic model of pulmonary adenocarcinoma by expression profiling of eight genes as determined by quantitative real-time reverse transcriptase polymerase chain reaction. J Clin Oncol 2004; 22: 811–19.
- 32 Lossos IS, Czerwinski DK, Alizadeh AA, Wechser MA, Tibshirani R, Botstein D, Levy R. Prediction of survival in diffuse large-B-cell lymphoma based on the expression of six genes. N Engl J Med 2004; 350: 1828–37.
- 33 Rajeevan MS, Vernon SD, Taysavang N, Unger ER. Validation of array-based gene expression profiles by real-time (kinetic) RT-PCR. J Mol Diagn 2001; 3: 26–31.
- 34 Wu XR. Urothelial tumorigenesis: a tale of divergent pathways. Nat Rev Cancer 2005; 5: 713–25.
- 35 Hoque MO, Lee CC, Cairns P, Schoenberg M, Sidransky D. Genome-wide genetic characterization of bladder cancer: a comparison of high-density single-nucleotide polymorphism arrays and PCR-based microsatellite analysis. Cancer Res 2003; 63: 2216–22.
- 36 Koed K, Wiuf C, Christensen LL, Wikman FP, Zieger K, Moller K, von der MH, Orntoft TF. High-density single nucleotide polymorphism array defines novel stage and location-dependent allelic imbalances in human bladder tumors. Cancer Res 2005; 65: 34–45.
- 37 Primdahl H, Wikman FP, von der MH, Zhou XG, Wolf H, Orntoft TF. Allelic imbalances in human bladder cancer: genome-wide detection with high-density single-nucleotide polymorphism arrays. J Natl Cancer Inst 2002; 94: 216–23.
- 38 Zhao J, Richter J, Wagner U, Roth B, Schraml P, Zellweger T, Ackermann D, Schmid U, Moch H, Mihatsch MJ, Gasser TC, Sauter G. Chromosomal imbalances in noninvasive papillary bladder neoplasms (pTa). Cancer Res 1999; 59: 4658–61.
- 39 Wild PJ, Herr A, Wissmann C, Stoehr R, Rosenthal A, Zaak D, Simon R, Knuechel R, Pilarsky C, Hartmann A. Gene expression profiling of progressive papillary noninvasive carcinomas of the urinary bladder. Clin Cancer Res 2005; 11: 4415–29.