Document type

Article

Version

Published version

Publication date

Publication license

cc-by (c) Juliachs Milà, Mercè et al., 2013
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/96264

Effectivity of pazopanib treatment in orthotopic models of human testicular germ cell tumors

Journal Title

Director/Tutor

Journal ISSN

Volume Title

Abstract

Background: Cisplatin (CDDP) resistance in testicular germ cell tumors (GCTs) is still a clinical challenge, and one associated with poor prognosis. The purpose of this work was to test pazopanib, an anti-tumoral and anti-angiogenic multikinase inhibitor, and its combination with lapatinib (an anti-ErbB inhibitor) in mouse orthotopic models of human testicular GCTs. Methods: We used two different models of human testicular GCTs orthotopically grown in nude mice; a CDDP-sensitive choriocarcinoma (TGT38) and a new orthotopic model generated from a metastatic GCT refractory to first-line CDDP chemotherapy (TGT44). Nude mice implanted with these orthotopic tumors were treated with the inhibitors and the effect on tumoral growth and angiogenesis was evaluated. Results: TGT44 refractory tumor had an immunohistochemical profile similar to the original metastasis, with characteristics of yolk sac tumor. TGT44 did not respond when treated with cisplatin. In contrast, pazopanib had an anti-angiogenic effect and anti-tumor efficacy in this model. Pazopanib in combination with lapatinib in TGT38, an orthotopic model of choriocarcinoma had an additive effect blocking tumor growth. Conclusions: We present pazopanib as a possible agent for the alternative treatment of CDDP-sensitive and CDDP-refractory GCT patients, alone or in combination with anti-ErbB therapies.

Citation

Citation

JULIACHS MILÀ, Mercè, et al. Effectivity of pazopanib treatment in orthotopic models of human testicular germ cell tumors. BMC Cancer. 2013. Vol. 13, num. 382. ISSN 1471-2407. [consulted: 14 of June of 2026]. Available at: https://hdl.handle.net/2445/96264

Export metadata

JSON - METS

Share record