Literature DB >> 32298067

Biomarkers predicting oncological outcomes of high-risk non-muscle-invasive bladder cancer.

Luca Afferi1, Marco Moschini2,3, Marcus G Cumberbatch4, James W Catto4, Roberto M Scarpa5, Francesco Porpiglia6, Agostino Mattei1, Rafael Sanchez-Salas7, Francesco Esperto5.   

Abstract

INTRODUCTION: The European Organization for Research and Treatment of Cancer (EORTC) and the Spanish Urological Club for Oncological Treatment (CUETO) scoring systems show limited accuracy for the prediction of disease recurrence and progression of non-muscle-invasive bladder cancer (NMIBC). This aspect is even more relevant in the category of HR NMIBC. Biomarkers might potentially help to further categorize the outcomes of these patients. Therefore, we sought to review the evidence available on tissue-based, urinary, and serum biomarkers for the prediction of recurrence, progression, and survival in HR NMIBC. EVIDENCE ACQUISITION: A systematic literature review without time restrictions was performed using PubMed/EMBASE, Web of Science, SCOPUS, and the Cochrane Libraries. The search was filtered for articles in the English, Italian, German, French, and Spanish languages, involving patients with more than 18 years of age. Relevant papers on tissue-based, serum and urinary biomarkers related to the prediction of oncological outcomes for high-risk bladder cancer patients were included in the analyses. EVIDENCE SYNTHESIS: Overall, 71 studies were eligible for inclusion in this review. The majority of the investigations performed so far focused on immunohistochemical analyses on tumoral tissue. Overall, p53 was the most studied biomarker, but results regarding its prognostic and predictive role were contradictory. Ki67 seems to be a promising biomarker in the prediction of recurrence. Recently, PD-L1 has been associated with the prediction of recurrence free survival and of treatment-refractory disease. Markers developed un urine samples are focused on commercially available kits, which currently do not unequivocally show strongly superior levels of accuracy to cytology. However, they have demonstrated to be potentially helpful in the prediction of recurrence. Blood-based biomarkers represent an emerging reality with promising future applications.
CONCLUSIONS: Despite a long history of attempts to discover accurate biomarkers predicting oncological outcomes for HR NMIBC, contradictory or uncertain findings render the adoption of this ancillary techniques in clinical practice still unlikely. Future attempts should be directed to the development of prospective trials and the definition of standardized cut-off levels to render findings worthy of comparison.

Entities:  

Year:  2020        PMID: 32298067     DOI: 10.23736/S0393-2249.20.03786-8

Source DB:  PubMed          Journal:  Minerva Urol Nefrol        ISSN: 0393-2249            Impact factor:   3.720


  5 in total

1.  The application value of multi-parameter cystoscope in improving the accuracy of preoperative bladder cancer grading.

Authors:  Qikai Wu; Lingkai Cai; Baorui Yuan; Qiang Cao; Juntao Zhuang; Meiling Bao; Zhen Wang; Dexiang Feng; Jun Tao; Pengchao Li; Qiang Shao; Xiao Yang; Qiang Lu
Journal:  BMC Urol       Date:  2022-07-18       Impact factor: 2.090

2.  The Prognostic Value of FGFR3 Expression in Patients with T1 Non-Muscle Invasive Bladder Cancer.

Authors:  Danijel Sikic; Helge Taubert; Johannes Breyer; Markus Eckstein; Veronika Weyerer; Bastian Keck; Jennifer Kubon; Wolfgang Otto; Thomas S Worst; Maximilian C Kriegmair; Philipp Erben; Arndt Hartmann; Bernd Wullich; Ralph M Wirtz; Sven Wach
Journal:  Cancer Manag Res       Date:  2021-08-20       Impact factor: 3.989

3.  Low Expression of Keratin17 is Related to Poor Prognosis in Bladder Cancer.

Authors:  Jiacheng Wu; Haifei Xu; Hao Ji; Baoqian Zhai; Jinfeng Zhu; Mingde Gao; Haixia Zhu; Xiaolin Wang
Journal:  Onco Targets Ther       Date:  2021-01-19       Impact factor: 4.147

4.  Risk Stratification for the Rate and Location of Residual Bladder Tumor for the Decision of Re-Transurethral Resection of Bladder Tumor.

Authors:  Junjie Fan; Xing Zhang; Jinhai Fan; Lei Li; Dalin He; Kaijie Wu
Journal:  Front Oncol       Date:  2022-01-27       Impact factor: 6.244

Review 5.  Bladder Cancer at the time of COVID-19 Outbreak.

Authors:  Francesco Esperto; Karl H Pang; Simone Albisinni; Rocco Papalia; Roberto M Scarpa
Journal:  Int Braz J Urol       Date:  2020-07       Impact factor: 1.541

  5 in total

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