Literature DB >> 29571585

Molecular Progression Risk Score for Prediction of Muscle Invasion in Primary T1 High-Grade Bladder Cancer.

Ho Won Kang1, Sung Pil Seo1, Young Joon Byun1, Xuan-Mei Piao1, Ye-Hwan Kim1, Pildu Jeong1, Yun-Sok Ha2, Won Tae Kim1, Yong-June Kim1, Sang-Cheol Lee1, Sung-Kwon Moon3, Yung-Hyun Choi4, Seok-Joong Yun5, Wun-Jae Kim6.   

Abstract

BACKGROUND: Pathologic T1 high-grade (pT1HG) bladder cancer (BC) is characterized by a high progression rate and constitutes an important clinical challenge; however, there is no consensus on the prediction of progression in pT1HG BC. The purpose of this study was to validate previously published molecular progression risk score (MoPRS) for predicting muscle-invasive disease in pT1HG BC.
MATERIALS AND METHODS: The expression of an 8-gene progression-related classifier identified from microarray data was analyzed by real-time PCR, and the MoPRS was calculated in 121 newly recruited patients with pT1HG BC. Progression was defined as muscle invasion or metastasis.
RESULTS: Overall, the disease of 28 patients (23.1%) progressed to muscle-invasive BC during the median follow-up of 63.7 (interquartile range, 17.6-96.4) months. The MoPRS was significantly higher in 1973 World Health Organization grade 3 than grade 2 tumors (P = .004). Early development of invasive BC was more prevalent in the highest quartile MoPRS group than in the lowest to 75th percentile MoPRS groups according to Kaplan-Meier analysis. Multivariate Cox regression analysis revealed that the MoPRS was an independent predictor of invasive BC, either as a continuous variable (hazard ratio, 1.624; 95% confidence interval, 1.266-2.082; P < .001) or as a categorical variable (hazard ratio, 3.089; 95% confidence interval, 1.335-7.150; P = .008).
CONCLUSION: The MoPRS was an independent prognostic factor for identifying patients at high risk of invasive BC in patients with pT1HG BC. This scale may help identify patients who could benefit from more aggressive therapeutic intervention such as early cystectomy.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Disease progression; Gene expression signatures; Real-time polymerase chain reaction; Risk assessment; Urinary bladder neoplasms

Mesh:

Substances:

Year:  2018        PMID: 29571585     DOI: 10.1016/j.clgc.2018.02.001

Source DB:  PubMed          Journal:  Clin Genitourin Cancer        ISSN: 1558-7673            Impact factor:   2.872


  6 in total

1.  Preoperative Clinical Predictors of Lymphovascular Invasion of Bladder Tumors at Transurethral Resection Pathology.

Authors:  Kei Yoneda; Takanobu Utsumi; Ken Wakai; Ryo Oka; Takumi Endo; Masashi Yano; Naoto Kamiya; Nobuyuki Hiruta; Hiroyoshi Suzuki
Journal:  Curr Urol       Date:  2020-10-13

Review 2.  High-grade T1 Urothelial Carcinoma: Where Do We Stand?

Authors:  Wesley Yip; Akbar Ashrafi; Siamak Daneshmand
Journal:  Curr Urol Rep       Date:  2019-11-28       Impact factor: 3.092

3.  Impact of Lymphovascular Invasion on Prognosis in the Patients with Bladder Cancer-Comparison of Transurethral Resection and Radical Cystectomy.

Authors:  Kei Yoneda; Naoto Kamiya; Takanobu Utsumi; Ken Wakai; Ryo Oka; Takumi Endo; Masashi Yano; Nobuyuki Hiruta; Tomohiko Ichikawa; Hiroyoshi Suzuki
Journal:  Diagnostics (Basel)       Date:  2021-02-04

4.  Evaluation of Vesical Imaging-Reporting and Data System (VI-RADS) scoring system in predicting muscle invasion of bladder cancer.

Authors:  Shenghua Liu; Feijia Xu; Tianyuan Xu; Yang Yan; Xudong Yao; Guangyu Tang
Journal:  Transl Androl Urol       Date:  2020-04

Review 5.  Tumor heterogeneity in muscle-invasive bladder cancer.

Authors:  Ho Won Kang; Wun-Jae Kim; Woonyoung Choi; Seok Joong Yun
Journal:  Transl Androl Urol       Date:  2020-12

Review 6.  The therapeutic and prognostic implications of molecular biomarkers in urothelial carcinoma.

Authors:  Ho Won Kang; Wun-Jae Kim; Seok Joong Yun
Journal:  Transl Cancer Res       Date:  2020-10       Impact factor: 1.241

  6 in total

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