Dataset Information

Modeling Canine B-cell Lymphoma Complexity Through Serial Transplantation in Immunodeficient Mice

ABSTRACT: High grade canine B-cell lymphoma (cBCL) is a spontaneous cancer in dogs with a very similar pathology compared to human diffuse large B-cell lymphoma (DLBCL). The value of comparative oncology to both dogs and humans has long been recognized, but the progress in cBCL research has been hampered by a scarcity of preclinical models. This study aimed to establish and characterize novel patient-derived xenograft (PDX) and cell line models from primary cBCL tumors to address this critical gap. To this end, primary cBCL tumors from three canine patients were surgically excised and serially transplanted into immunodeficient NOD scid gamma (NSG) mice. The resulting PDX models were characterized across passages using histology, flow cytometry, SNP genotyping, and RNA sequencing, the results of which show that they retain much of their original characteristics, even after multiple NSG passages. Cancer cells from two of the PDX lines were successfully adapted to in vitro culture, establishing two new permanent cell lines, one of which was then used in drug sensitivity assays. The successful generation characterization of these cBCL PDX and cell lines provides a valuable resource in canine cancer research.

ORGANISM(S): Canis lupus familiaris

PROVIDER: GSE314293 | GEO | 2026/09/15

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Engraftment of primary pancreas ductal adenocarcinomas (PDAC) in mice to generate patient derived xenograft (PDX) models is a promising platform to for biological and therapeutic studies in this disease. However, these models are still incompletely characterized. Here, we measured the impact of the murine environment on the gene expression of the engrafted human tumoral cells. We have analyzed gene expression profiles from 35 new PDX models and compared them with previously published microarray data from PDAC and hepatocellular carcinoma (HCC). Our results showed that PDX models derived from PDAC, or HCC, were clearly different to the cell lines derived from the same cancer tissues. Indeed, PDAC- and HCC-derived cell lines are indistinguishable one from the other based in their gene expression profiles. In contrast, the transcriptomes of PDAC and HCC PDX models are clearly different and more similar to their original tumor than to PDX models from the other tumor type. Interestingly, the main differences between pancreatic PDX models and human PDAC is the expression of genes involved in pathways related with extracellular matrix interactions and cell cycle regulation likely reflecting the adaptations of the tumors to the new environment. Furthermore, most of these differences are detected in the first passages after the tumor engraftment, indicating early phases of the adaptation process. In conclusion, different from conventional cancer cell lines, PDX models of PDAC retain similar gene expression profiles of PDAC. Expression changes are mainly related to genes involved in stromal pathways likely reflecting the adaptation to new environments. We also provide evidence of the stability of gene expression patterns over subsequent passages. We have analyzed gene expression profiles from 35 new PDX models and compared them with previously published in GEO microarray data. We used PDX models, primary tumors and cell lines from PDAC and hepatocellular carcinoma. All these public data were re-process in order to compare with our 35 samples

Dataset Information

Modeling Canine B-cell Lymphoma Complexity Through Serial Transplantation in Immunodeficient Mice

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets