Journal of cancer research and clinical oncology · 2020
Selected protein expression in a new prognostic model for patients with non-muscle-invasive bladder cancer.
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Semeniuk-Wojtaś Aleksandra, Lubas Arkadiusz, Cierniak Szczepan, Brzóskowska Urszula, Syryło Tomasz, Zieliński Henryk, Stec Rafał
Аннотация
INTRODUCTION: After transurethral resection of a bladder tumor, patients frequently have a recurrence of the disease, thereby requiring adjuvant therapy.
PURPOSE: The study aimed to determine the prognostic value of expression levels of p53, Ki-67, and survivin, and to develop a new prognostic model for patients with non-muscle-invasive bladder cancer (NMIBC) after transurethral resection of a bladder tumor.
METHODS: The study group consisted of 101 patients with primary NMIBC. Univariate followed by multivariate Cox proportional hazard regression analysis was performed to obtain a model including the smallest possible number of descriptive variables with the highest statistical significance and impact on risk.
RESULTS: The RECINT model (RECurrence In Not Treated) including factors independently associated with cancer recurrence (tumor size [HR 1.148; p = 0.034], intensity of the color reaction for p53 [HR 1.716; p = 0.008], Ki-67 [HR 3.001; p = 0.022], and survivin [HR 1.461; p = 0.021]) adequately stratified recurrence free-survival (R2 = 0.341, p < 0.001) in patients with primary NMIBC. Patients with the lowest RECINT score (0-6) had the lowest probability of cancer recurrence (1- and 5-year recurrence of 16%) in comparison with other groups (p < 0.001).
CONCLUSIONS: The RECINT model may be useful for stratifying the risk of recurrence in patients with non-muscle-invasive bladder cancer and may allow for identification of those who may benefit the most from adjuvant BCG immunotherapy.
PURPOSE: The study aimed to determine the prognostic value of expression levels of p53, Ki-67, and survivin, and to develop a new prognostic model for patients with non-muscle-invasive bladder cancer (NMIBC) after transurethral resection of a bladder tumor.
METHODS: The study group consisted of 101 patients with primary NMIBC. Univariate followed by multivariate Cox proportional hazard regression analysis was performed to obtain a model including the smallest possible number of descriptive variables with the highest statistical significance and impact on risk.
RESULTS: The RECINT model (RECurrence In Not Treated) including factors independently associated with cancer recurrence (tumor size [HR 1.148; p = 0.034], intensity of the color reaction for p53 [HR 1.716; p = 0.008], Ki-67 [HR 3.001; p = 0.022], and survivin [HR 1.461; p = 0.021]) adequately stratified recurrence free-survival (R2 = 0.341, p < 0.001) in patients with primary NMIBC. Patients with the lowest RECINT score (0-6) had the lowest probability of cancer recurrence (1- and 5-year recurrence of 16%) in comparison with other groups (p < 0.001).
CONCLUSIONS: The RECINT model may be useful for stratifying the risk of recurrence in patients with non-muscle-invasive bladder cancer and may allow for identification of those who may benefit the most from adjuvant BCG immunotherapy.
Предметные рубрики MeSH
Decision Support Systems, ClinicalDisease-Free SurvivalFemaleHumansImmunohistochemistryKi-67 AntigenMaleModels, StatisticalNeoplasm InvasivenessNeoplasm Recurrence, LocalNeoplasm StagingPrognosisProportional Hazards ModelsRetrospective StudiesSurvivinTumor Suppressor Protein p53Urinary Bladder Neoplasms