TY - JOUR
T1 - Progressive tissue biomarker profiling in non-muscle-invasive bladder cancer
AU - D'Andrea, David
AU - Hassler, Melanie R
AU - Abufaraj, Mohammad
AU - Soria, Francesco
AU - Ertl, Iris E
AU - Ilijazi, Dafina
AU - Mari, Andrea
AU - Foerster, Beat
AU - Egger, Gerda
AU - Shariat, Shahrokh F
N1 - Publisher Copyright:
© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2018/7/3
Y1 - 2018/7/3
N2 - INTRODUCTION: The recurrence rate of non-muscle-invasive bladder cancer (NMIBC) is up to 60% within the first year of therapy. Accurate risk stratification is necessary for patient counselling, follow-up scheduling and individualized therapeutic decision making. Current prognostic models rely on clinicopathologic features, but their discrimination remains limited when in external cohorts. Despite intense efforts regarding the value of biomarkers in prognosticating outcomes in NMIBC, clinical utility remains suboptimal. It is clear that a single biomarker is not enough for the prediction of disease recurrence. Therefore, panels of non-redundant biomarkers have been created and integrated in clinical prognostic model further research relying on high throughput technologies is required. Areas covered: We performed a systematic research of the English-language literature on tissue biomarkers for prediction of NMIBC outcomes up to December 2017. Expert commentary: Despite the essential milestones achieved in our knowledge and understanding of the molecular biology underlying NMIBC, no biomarker has been implemented together with clinical feature in clinical practice. Integration of such biomarkers into predictive and prognostic model could, however, improve our accuracy, thereby paving the way for personalized medicine in the management of NMIBC.
AB - INTRODUCTION: The recurrence rate of non-muscle-invasive bladder cancer (NMIBC) is up to 60% within the first year of therapy. Accurate risk stratification is necessary for patient counselling, follow-up scheduling and individualized therapeutic decision making. Current prognostic models rely on clinicopathologic features, but their discrimination remains limited when in external cohorts. Despite intense efforts regarding the value of biomarkers in prognosticating outcomes in NMIBC, clinical utility remains suboptimal. It is clear that a single biomarker is not enough for the prediction of disease recurrence. Therefore, panels of non-redundant biomarkers have been created and integrated in clinical prognostic model further research relying on high throughput technologies is required. Areas covered: We performed a systematic research of the English-language literature on tissue biomarkers for prediction of NMIBC outcomes up to December 2017. Expert commentary: Despite the essential milestones achieved in our knowledge and understanding of the molecular biology underlying NMIBC, no biomarker has been implemented together with clinical feature in clinical practice. Integration of such biomarkers into predictive and prognostic model could, however, improve our accuracy, thereby paving the way for personalized medicine in the management of NMIBC.
KW - Animals
KW - Biomarkers, Tumor/metabolism
KW - Disease Progression
KW - High-Throughput Screening Assays/methods
KW - Humans
KW - Neoplasm Invasiveness
KW - Neoplasm Recurrence, Local
KW - Precision Medicine/methods
KW - Predictive Value of Tests
KW - Prognosis
KW - Urinary Bladder Neoplasms/pathology
UR - http://www.scopus.com/inward/record.url?scp=85048741091&partnerID=8YFLogxK
U2 - 10.1080/14737140.2018.1474104
DO - 10.1080/14737140.2018.1474104
M3 - Review article
C2 - 29737231
SN - 1473-7140
VL - 18
SP - 695
EP - 703
JO - Expert Review of Anticancer Therapy
JF - Expert Review of Anticancer Therapy
IS - 7
ER -