PURPOSE: Fibroblast growth factor receptor 3 (FGFR3) mutations were recently found at a high frequency in well-differentiated urothelial cell carcinoma (UCC). We investigated the relationship between FGFR3 status and three molecular markers (MIB-1, P53, and P27kip1) associated with worse prognosis and determined the reproducibility of pathologic grade and molecular variables. PATIENTS AND METHODS: In this multicenter study, we included 286 patients with primary (first diagnosis) UCC. The histologic slides were reviewed. FGFR3 status was examined by polymerase chain reaction-single strand conformation polymorphism and sequencing. Expression levels of MIB-1, P53, and P27kip1 were determined by immunohistochemistry. Mean follow-up was 5.5 years (range, 0.4 to 18.4 years). RESULTS: FGFR3 mutations were detected in 172 (60%) of 286 UCCs. Grade 1 tumors had an FGFR3 mutation in 88% of patient samples and grade 3 tumors in 16% of patient samples. Conversely, aberrant expression patterns of MIB-1, P53, and P27kip1 were seen in 5%, 2%, and 3% of grade 1 tumors and in 85%, 60%, and 56% of grade 3 tumors, respectively. In multivariate analysis with recurrence rate, progression, and disease-specific survival as end points, the combination of FGFR3 and MIB-1 proved independently significant in all three cases. By using these two molecular markers, three molecular grades (mGs) could be identified: mG1 (mutation; normal expression), favorable prognosis; mG2 (two remaining combinations), intermediate prognosis; and mG3 (no mutation; high expression), poor prognosis. The molecular variables were more reproducible than pathologic grade (85% to 100% v 47% to 61%). CONCLUSION: The FGFR3 mutation represents the favorable molecular pathway of UCC. Molecular grading provides a new, simple, and highly reproducible tool for clinical decision making in UCC patients.
PURPOSE:Fibroblast growth factor receptor 3 (FGFR3) mutations were recently found at a high frequency in well-differentiated urothelial cell carcinoma (UCC). We investigated the relationship between FGFR3 status and three molecular markers (MIB-1, P53, and P27kip1) associated with worse prognosis and determined the reproducibility of pathologic grade and molecular variables. PATIENTS AND METHODS: In this multicenter study, we included 286 patients with primary (first diagnosis) UCC. The histologic slides were reviewed. FGFR3 status was examined by polymerase chain reaction-single strand conformation polymorphism and sequencing. Expression levels of MIB-1, P53, and P27kip1 were determined by immunohistochemistry. Mean follow-up was 5.5 years (range, 0.4 to 18.4 years). RESULTS:FGFR3 mutations were detected in 172 (60%) of 286 UCCs. Grade 1 tumors had an FGFR3 mutation in 88% of patient samples and grade 3 tumors in 16% of patient samples. Conversely, aberrant expression patterns of MIB-1, P53, and P27kip1 were seen in 5%, 2%, and 3% of grade 1 tumors and in 85%, 60%, and 56% of grade 3 tumors, respectively. In multivariate analysis with recurrence rate, progression, and disease-specific survival as end points, the combination of FGFR3 and MIB-1 proved independently significant in all three cases. By using these two molecular markers, three molecular grades (mGs) could be identified: mG1 (mutation; normal expression), favorable prognosis; mG2 (two remaining combinations), intermediate prognosis; and mG3 (no mutation; high expression), poor prognosis. The molecular variables were more reproducible than pathologic grade (85% to 100% v 47% to 61%). CONCLUSION: The FGFR3 mutation represents the favorable molecular pathway of UCC. Molecular grading provides a new, simple, and highly reproducible tool for clinical decision making in UCC patients.
Authors: Willemien Beukers; Raju Kandimalla; Roy G Masius; Marcel Vermeij; Ries Kranse; Geert Jlh van Leenders; Ellen C Zwarthoff Journal: Mod Pathol Date: 2014-11-14 Impact factor: 7.842
Authors: Christian Hafner; Agustí Toll; Alejandro Fernández-Casado; Julie Earl; Miriam Marqués; Francesco Acquadro; Marinela Méndez-Pertuz; Miguel Urioste; Núria Malats; Julie E Burns; Margaret A Knowles; Juan C Cigudosa; Arndt Hartmann; Thomas Vogt; Michael Landthaler; Ramón M Pujol; Francisco X Real Journal: Proc Natl Acad Sci U S A Date: 2010-11-15 Impact factor: 11.205
Authors: A Quintero; J Alvarez-Kindelan; R J Luque; R Gonzalez-Campora; M J Requena; R Montironi; A Lopez-Beltran Journal: J Clin Pathol Date: 2006-01 Impact factor: 3.411
Authors: Matthew E Nielsen; Angela B Smith; Anne-Marie Meyer; Tzy-Mey Kuo; Seth Tyree; William Y Kim; Matthew I Milowsky; Raj S Pruthi; Robert C Millikan Journal: Cancer Date: 2013-10-10 Impact factor: 6.860