Literature DB >> 25742701

Patient-derived bladder cancer xenografts: a systematic review.

Carina Bernardo1, Céu Costa2, Nuno Sousa3, Francisco Amado4, Lúcio Santos5.   

Abstract

Patient-derived tumor xenografts (PDTXs) are said to accurately reflect the heterogeneity of human tumors. In the case of human bladder cancer, few studies are available featuring these models. The best methodology to develop and the real value of the model remain unclear. This systematic review aims to elucidate the best methodology to establish and use PDTXs to study the characteristics and behavior of human bladder tumors. The value and potential application of these models are also addressed. A comprehensive literature search was performed to identify published studies using xenograft models directly established from human bladder cancer samples into mice. A total of 12 studies were included in the final analysis. All studies differed in design; the reported take rate varied between 11% and 80%, with the implantation via dorsal incision and with matrigel obtaining the higher take rate. Advanced stage and high-grade tumors were associated with increased take rate. Xenografts preserved the original tumor identity in the establishment phase and after serial passages. Although some studies suggest a correlation between engraftment success and clinical prognosis, evidence about the association between the response of xenografts to treatment and the clinical response of the tumor of origin is still missing. All methodological approaches resulted in the establishment of tumor xenografts with preservation of the original tumor identity but variable take rate. The time needed to establish the model and propagate xenografts to a number suitable for drug testing is the main limitation of the model, along with the success rate and lack of consistency in the early passages. Comparison between tumor response in mice and clinical outcome remains to be assessed.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2015        PMID: 25742701     DOI: 10.1016/j.trsl.2015.02.001

Source DB:  PubMed          Journal:  Transl Res        ISSN: 1878-1810            Impact factor:   7.012


  15 in total

Review 1.  Patient-derived xenografts as in vivo models for research in urological malignancies.

Authors:  Takahiro Inoue; Naoki Terada; Takashi Kobayashi; Osamu Ogawa
Journal:  Nat Rev Urol       Date:  2017-02-21       Impact factor: 14.432

2.  Conditional reprogramming and long-term expansion of normal and tumor cells from human biospecimens.

Authors:  Xuefeng Liu; Ewa Krawczyk; Frank A Suprynowicz; Nancy Palechor-Ceron; Hang Yuan; Aleksandra Dakic; Vera Simic; Yun-Ling Zheng; Praathibha Sripadhan; Chen Chen; Jie Lu; Tung-Wei Hou; Sujata Choudhury; Bhaskar Kallakury; Dean G Tang; Thomas Darling; Rajesh Thangapazham; Olga Timofeeva; Anatoly Dritschilo; Scott H Randell; Christopher Albanese; Seema Agarwal; Richard Schlegel
Journal:  Nat Protoc       Date:  2017-01-26       Impact factor: 13.491

Review 3.  Patient-derived tumour models for personalized therapeutics in urological cancers.

Authors:  Arjanneke F van de Merbel; Geertje van der Horst; Gabri van der Pluijm
Journal:  Nat Rev Urol       Date:  2020-11-10       Impact factor: 14.432

4.  Patient-derived bladder cancer xenograft models reveal VEGF and CDK4 enhancing tumor metastasis behavior.

Authors:  Yong Zhao; Mingjie An; He Zhang; Dengxu Tan; Xue Chen; Pengpeng Wu; Weijun Qin; Caiqin Zhang; Changhong Shi
Journal:  RSC Adv       Date:  2019-06-06       Impact factor: 4.036

Review 5.  Patient-derived xenografts: a relevant preclinical model for drug development.

Authors:  Luca Pompili; Manuela Porru; Carla Caruso; Annamaria Biroccio; Carlo Leonetti
Journal:  J Exp Clin Cancer Res       Date:  2016-12-05

Review 6.  Understanding the biology of urothelial cancer metastasis.

Authors:  Takashi Kobayashi
Journal:  Asian J Urol       Date:  2016-09-14

7.  Establishing and Maintaining an Extensive Library of Patient-Derived Xenograft Models.

Authors:  Marissa Mattar; Craig R McCarthy; Amanda R Kulick; Besnik Qeriqi; Sean Guzman; Elisa de Stanchina
Journal:  Front Oncol       Date:  2018-02-19       Impact factor: 6.244

Review 8.  Patient-Derived Xenograft Models of Breast Cancer and Their Application.

Authors:  Takahiko Murayama; Noriko Gotoh
Journal:  Cells       Date:  2019-06-20       Impact factor: 6.600

Review 9.  Patient-derived xenograft models of colorectal cancer in pre-clinical research: a systematic review.

Authors:  Kai M Brown; Aiqun Xue; Anubhav Mittal; Jaswinder S Samra; Ross Smith; Thomas J Hugh
Journal:  Oncotarget       Date:  2016-10-04

10.  Establishment of a large panel of patient-derived preclinical models of human renal cell carcinoma.

Authors:  Hervé Lang; Claire Béraud; Audrey Bethry; Sabrina Danilin; Véronique Lindner; Catherine Coquard; Sylvie Rothhut; Thierry Massfelder
Journal:  Oncotarget       Date:  2016-09-13
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.