| Literature DB >> 29524168 |
Jéssica Niederauer Leote da Silva1, Alana Durayski Ranzi1, Caroline Trainotti Carvalho1, Tales Vicente Scheide1, Yuri Thomé Machado Strey1, Túlio Meyer Graziottin1,2, Claudia Giuliano Bica3.
Abstract
Bladder cancer (BC) is a heterogeneous neoplasia characterized by a high number of recurrences. Standardized clinical and morphological parameters are not always sufficient to predict individual tumor behavior. The aim of this study was to evaluate the expression of cell cycle regulators proteins as potential adjuvant in prognosis and monitoring of this disease. Block paraffin samples from patients with urothelial bladder carcinoma treated by transurethral resection (TUR) were collected to immunohistochemistry analysis for proteins p16, p21, p27, p53, pRb and Ki-67. Chisquare, logistic regression and Kaplan-Meier curve were used to analyze the prognostic value of these markers. Of the 93 patients included in the study, the main categories of staging observed were T1 (53%) and Ta (29%), and the distribution between tumor grades was 58% of patients with low grade to 42% of patients with high grade. The expressions of p16, p21, p27, p53, pRb and Ki-67 were altered in 31%, 42%, 60%, 91%, 27% and 56% of patients, respectively. The immunohistochemical expression of Ki-67 was associated with tumor histological grade (p = 0.016), and expression of pRb with recurrence-free survival (p = 0.035), but no isolated marker was significant associated with recurrence and progression in multivariate analysis. More than two markers abnormally expressed were associated with presence of recurrence (p = 0.005) and lower recurrence-free surviva (p = 0.004). Our panel marker has important prognostic value for BC, especially when more than two have altered expression predicting good clinical recurrence implication.Entities:
Keywords: Bladder cancer; Cell cycle markers; Immunohistochemistry; Prognosis
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Year: 2018 PMID: 29524168 DOI: 10.1007/s12253-018-0389-5
Source DB: PubMed Journal: Pathol Oncol Res ISSN: 1219-4956 Impact factor: 3.201