BACKGROUND: Human tumors transplanted into immunodeficient mice (xenografts) are good preclinical models, and it is important to identify possible systematic changes during establishment and passaging in mice. METHODS: High-resolution microarray-based comparative genomic hybridization (array CGH) was used to investigate how well a series of sarcoma xenografts, including 9 patient/xenograft pairs and 8 early versus late xenograft passage pairs, represented the patient tumor from which they originated. RESULTS: In all analyses, the xenografts were more similar to their tumor of origin than other xenografts of the same type. Most changes in aberration patterns were toward a more normal genome complement, and the increased aberrations observed were mostly toward more loss. In general, the changes were scattered over the genome, but some changes were significant in osteosarcomas. These were rather focused and consistent with amplifications frequent in patient samples, involving the genes platelet-derived growth factor receptor A (PDGFRA), cysteine-rich hydrophobic domain 2 (CHIC2), FIP-like 1 (FIP1L1), ligand of numb-protein X1 (LNX1), RAS-like family 11 member B (RASL11B), and sec1 family domain containing 2 (SCFD2), probably a sign of continued tumor progression. Some changes that disappeared may have been involved in host-stroma interactions or chemotherapy resistance, possibly because of the absence of selection in the mouse. CONCLUSIONS: Direct xenografts reflected well the genomic patterns of their tumors of origin. The few significant aberrations that were lost during passaging in immune-defective mice may have been caused by the lack of selection in the new host, whereas aberrations that were gained appeared to be the result of general tumor progression rather than model-specific artifacts.
BACKGROUND:Humantumors transplanted into immunodeficientmice (xenografts) are good preclinical models, and it is important to identify possible systematic changes during establishment and passaging in mice. METHODS: High-resolution microarray-based comparative genomic hybridization (array CGH) was used to investigate how well a series of sarcoma xenografts, including 9 patient/xenograft pairs and 8 early versus late xenograft passage pairs, represented the patienttumor from which they originated. RESULTS: In all analyses, the xenografts were more similar to their tumor of origin than other xenografts of the same type. Most changes in aberration patterns were toward a more normal genome complement, and the increased aberrations observed were mostly toward more loss. In general, the changes were scattered over the genome, but some changes were significant in osteosarcomas. These were rather focused and consistent with amplifications frequent in patient samples, involving the genes platelet-derived growth factor receptor A (PDGFRA), cysteine-rich hydrophobic domain 2 (CHIC2), FIP-like 1 (FIP1L1), ligand of numb-protein X1 (LNX1), RAS-like family 11 member B (RASL11B), and sec1 family domain containing 2 (SCFD2), probably a sign of continued tumor progression. Some changes that disappeared may have been involved in host-stroma interactions or chemotherapy resistance, possibly because of the absence of selection in the mouse. CONCLUSIONS: Direct xenografts reflected well the genomic patterns of their tumors of origin. The few significant aberrations that were lost during passaging in immune-defective mice may have been caused by the lack of selection in the new host, whereas aberrations that were gained appeared to be the result of general tumor progression rather than model-specific artifacts.
Authors: Anneliese Fortuna-Costa; Regina Alcantara Granato; Walter Meohas; Ana Cristina de Sá Lopes; Anabela Cunha Caruso; Rafael Castro E Silva Pinheiro; Pedro da Gama d'Eça; Rhayra Braga Dias; Jamila Alessandra Perini; Ana Paula Fernandes Barbosa; Renato Augusto Moreira de Sá; João Antonio Matheus Guimarães; Samuel S Murray; Maria Eugenia Leite Duarte Journal: Histol Histopathol Date: 2020-09-23 Impact factor: 2.303
Authors: Manuel Hidalgo; Frederic Amant; Andrew V Biankin; Eva Budinská; Annette T Byrne; Carlos Caldas; Robert B Clarke; Steven de Jong; Jos Jonkers; Gunhild Mari Mælandsmo; Sergio Roman-Roman; Joan Seoane; Livio Trusolino; Alberto Villanueva Journal: Cancer Discov Date: 2014-07-15 Impact factor: 39.397
Authors: Fabien Reyal; Charlotte Guyader; Charles Decraene; Carlo Lucchesi; Nathalie Auger; Franck Assayag; Ludmilla De Plater; David Gentien; Marie-France Poupon; Paul Cottu; Patricia De Cremoux; Pierre Gestraud; Anne Vincent-Salomon; Jean-Jacques Fontaine; Sergio Roman-Roman; Olivier Delattre; Didier Decaudin; Elisabetta Marangoni Journal: Breast Cancer Res Date: 2012-01-16 Impact factor: 6.466