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            What we have learned from urinary bladder cancer models

            Carina Bernardo , Céu Costa , Carlos Palmeira 1,3,4 ,  Rosário Pinto-Leite , Paula Oliveira ,  Rui Freitas ,
                                                                                         6
                                                                           1,5
                                      1,4
                          1,2
                                                                                                     7
            Francisco Amado ,  Lúcio L. Santos 1,4,8
                           2
            1 Experimental Pathology and Therapeutics Group-Research Center, Portuguese Oncology Institute-Porto (IPO-Porto), Rua Dr. António Bernardino
            de Almeida, 4200-072 Porto, Portugal.
            2
              Mass Spectrometry Group, QOPNA, Department of Chemistry, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal.
            3 Department of Immunology, Portuguese Oncology Institute-Porto (IPO-Porto), Rua Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal.
            4  School of Health Sciences, Fernando Pessoa University, 4249-004 Porto, Portugal.
            5  Genetic Service, Cytogenetic Laboratory, Hospital Center of Trás-os-Montes e Alto Douro, 5000-508 Vila Real, Portugal.
            6 Department of Veterinary Sciences, CITAB, University of Trás-os-Montes e Alto Douro, 5001-801 Vila Real, Portugal.
            7 Department of Urology, Portuguese Oncology Institute-Porto (IPO-Porto), Rua Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal.
            8 Department of Surgical Oncology, Portuguese Oncology Institute-Porto (IPO-Porto), Rua Dr. António Bernardino de Almeida, 4200-072 Porto,
            Portugal.
            Correspondence to: Dr. Lúcio L. Santos, Portuguese Oncology Institute-Porto (IPO-Porto), Rua Dr. António Bernardino de Almeida, 4200-072
            Porto, Portugal. E-mail: llarasantos@gmail.com
                                                     A B S T R AC T
            Urinary  bladder  cancer  (UBC)  is  a  heterogeneous  disease  with  highly  variable  clinical  outcomes  and  responses  to chemotherapy.
            Despite some advances in the molecular understanding of UBC, this knowledge still has not been translated to the clinic in terms of
            improvements in the prognosis and treatment of patients. Suitable urinary bladder tumor models representative of the human disease in
            terms of histology and behavior are needed to study factors involved in tumor initiation, progression and metastasis. Further,  accurate  model
            systems would facilitate identification of new therapeutic targets and predictive markers that could lead to optimization of existing therapies
            and development of new ones. Many established cancer cell lines derived from human urinary bladder tumors representing different grades
            and stages have been used as experimental models for UBC study. These cell lines reflect some of the genetic and morphologic alterations
            observed in human urothelial carcinoma and serve as simplified models to study the behavior of cancer cells in vitro. However, their
            translational potential is limited due to the artificial conditions, in which the cells are maintained, grown and tested. Animal models offer
            a more complex and realistic model for the establishment, development, and progression of tumors as well as to evaluate new therapeutic
            approaches. Over the years, the authors' group has worked with several UBC cell lines, established and characterized chemically induced
            UBC models, and patient-derived xenografts models. In this study, the authors will provide a summary of the UBC models developed by
            their group, analyze their translational potential and weaknesses, and define areas that remain to be explored.

            Key words: Animal models; cell lines; tumor behavior; urothelial bladder cancer; xenografts


            INTRODUCTION                                       urveillance, repeated relapses, and chemoresistance makes
                                                               UBC the  malignancy  with the  highest  lifetime  treatment
            Urinary bladder cancer (UBC) is a heterogeneous disease   cost per patient.  Patient treatment and surveillance  are
                                                                            [2]
            in  terms  of  histopathology and  clinical  behavior. Around   typically based on tumor histopathological features, such
            70% of the patients are diagnosed with non-muscle-invasive   as histologic  type, differentiation degree  and anatomical
            bladder cancer  (NMIBC) that often recur and, in about 10-  extent  of  the  disease.  However,  it  is  still  challenging  to
            30% of the cases progress to invasive disease despite local
            therapy.  The  remaining 30% are muscle-invasive bladder   predict the risk of recurrence and progression for individual
            cancer (MIBC) at  presentation and  are  associated  with   patients and to identify  which patients will significantly
            high risk of metastasis and  progression  even  after  radical   benefit from adjuvant  and/or neoadjuvant  chemotherapy.
            surgery and systemic treatment.  The necessity of lifelong
                                     [1]
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                                                               How to cite this article: Bernardo C, Costa C, Palmeira C, Pinto-Leite R,
                                                               Oliveira P, Freitas R, Amado F, Santos LL. What we have learned from
                                  DOI:                         urinary bladder cancer models. J Cancer Metastasis Treat 2016;2:51-8.
                                  10.4103/2394-4722.171279
                                                               Received: 22-07-2015; Accepted: 02-11-2015.



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