AIM: To establish and characterize a murine xenograft model of human urothelial cancer in severe combined immunodeficient (SCID) mice for therapeutic simulation. METHODS: Pieces of 30 freshly resected urothelial tumors (24 obtained from bladder and 6 from ureter or pelvis) were implanted subcutaneously into SCID mice, and xenograft tumors were passed in tumorigenic cases. At each passage, histopathology, TP53 mutational status assessed by yeast p53 functional assay, and the Ki-67 labeling index (LI) were examined to evaluate the preservation of original features. A growth delay assay after single-dose irradiation was performed in four representative xenografts. RESULTS: Tumor growth was observed in 18 mice (60%, 18/30). Histologically, 15 of the 18 were epithelial carcinomas similar to the original tumors, whereas the other 3 were Epstein-Barr virus-associated lymphoproliferative disease, resulting in a 50% (15/30) take rate. No correlation was found between the tumor take rate and the clinicopathologic features, TP53 mutational status, or Ki-67 LI of the patients' tumors. Of these 15 xenografts, 11 xenografts were passed from 3 to 10 generations. TP53 mutational status remained stable during the passages, and the Ki-67 LI of eight xenografts was within a range of 50% of the LI of the original tumors, although the other three xenografts increased by over 50%. Specific growth delay after irradiation, independent of the original tumor growth speed and Ki-67 LI, was observed in four xenografts. CONCLUSIONS: SCID mice are useful recipients for investigations of human urothelial cancer with a wide biological range. This easy-to-handle xenograft system can help to develop a better in vivo preclinical evaluation system for therapeutic agents as well as the investigation of tumor pathophysiology.
AIM: To establish and characterize a murine xenograft model of humanurothelial cancer in severe combined immunodeficient (SCID) mice for therapeutic simulation. METHODS: Pieces of 30 freshly resected urothelial tumors (24 obtained from bladder and 6 from ureter or pelvis) were implanted subcutaneously into SCIDmice, and xenograft tumors were passed in tumorigenic cases. At each passage, histopathology, TP53 mutational status assessed by yeast p53 functional assay, and the Ki-67 labeling index (LI) were examined to evaluate the preservation of original features. A growth delay assay after single-dose irradiation was performed in four representative xenografts. RESULTS:Tumor growth was observed in 18 mice (60%, 18/30). Histologically, 15 of the 18 were epithelial carcinomas similar to the original tumors, whereas the other 3 were Epstein-Barr virus-associated lymphoproliferative disease, resulting in a 50% (15/30) take rate. No correlation was found between the tumor take rate and the clinicopathologic features, TP53 mutational status, or Ki-67 LI of the patients' tumors. Of these 15 xenografts, 11 xenografts were passed from 3 to 10 generations. TP53 mutational status remained stable during the passages, and the Ki-67 LI of eight xenografts was within a range of 50% of the LI of the original tumors, although the other three xenografts increased by over 50%. Specific growth delay after irradiation, independent of the original tumor growth speed and Ki-67 LI, was observed in four xenografts. CONCLUSIONS:SCIDmice are useful recipients for investigations of humanurothelial cancer with a wide biological range. This easy-to-handle xenograft system can help to develop a better in vivo preclinical evaluation system for therapeutic agents as well as the investigation of tumor pathophysiology.
Authors: Alberto J Taurozzi; Ramprakash Beekharry; Michelle Wantoch; Marie-Christine Labarthe; Hannah F Walker; Robert I Seed; Matthew Simms; Greta Rodrigues; James Bradford; Geertje van der Horst; Gabri van der Pluijm; Anne T Collins Journal: PLoS One Date: 2017-11-16 Impact factor: 3.240
Authors: Sarah Minkler; Fabrice Lucien; Michael J Kimber; Dipak K Sahoo; Agnes Bourgois-Mochel; Margaret Musser; Chad Johannes; Igor Frank; John Cheville; Karin Allenspach; Jonathan P Mochel Journal: Cancers (Basel) Date: 2021-01-23 Impact factor: 6.639
Authors: Kwanghee Kim; Wenhuo Hu; François Audenet; Nima Almassi; Aphrothiti J Hanrahan; Katie Murray; Aditya Bagrodia; Nathan Wong; Timothy N Clinton; Shawn Dason; Vishnu Mohan; Sylvia Jebiwott; Karan Nagar; Jianjiong Gao; Alex Penson; Chris Hughes; Benjamin Gordon; Ziyu Chen; Yiyu Dong; Philip A Watson; Ricardo Alvim; Arijh Elzein; Sizhi P Gao; Emiliano Cocco; Alessandro D Santin; Irina Ostrovnaya; James J Hsieh; Irit Sagi; Eugene J Pietzak; A Ari Hakimi; Jonathan E Rosenberg; Gopa Iyer; Herbert A Vargas; Maurizio Scaltriti; Hikmat Al-Ahmadie; David B Solit; Jonathan A Coleman Journal: Nat Commun Date: 2020-04-24 Impact factor: 14.919