Dados do Resumo

Título

Characterization of gene expression in dogs with diffuse multicentric large b cell lymphoma using RNA-seq technique

Introdução

Lymphoma is a neoplasm characterized by clonal proliferation of malignant lymphocytes and can originate in the bone marrow, thymus, spleen, liver or lymph nodes. However, it can develop in practically any organ, due to the continuous permeation of lymphoid cells through different tissues and organs. It is one of the most common malignant neoplasms in dogs, accounting for 8.5 to 9% of all canine tumors, with the multicentric form being the most common. Currently, the genetic characterization of the most diverse tumors is essential for cancer research and involves a large contingent of specialists around the world, and enormous investments. RNA-sequencing can be used to identify new patterns of gene expression, including at very low levels.

Objetivo

Therefore, considering the high caseload of canine lymphoma in our country, as well as its importance as an excellent model system for non-Hodgkin's lymphoma in humans, this study was designed with the main aim of analyzing the gene expression profile in multicentric diffuse large B-cell lymphomas, using the RNA-Seq technique.

Métodos

To this end, 17 dogs were included in this study, of which 15 dogs had diffuse multicentric large B-cell lymphoma and two were healthy. Furthermore, a cross-comparison was carried out using 4 articles that also used RNAseq to identify canine differential genes in multicentric large b-cell lymphoma.

Resultados

Our analysis yielded the results of 408 downregulated genes and 2 upregulated genes. Genes such as STOM, TBC1D8, HMOX1, CTLA4, and ABCB1 were identified as possible biomarkers.

Conclusões

Genes identified act as possible biomarkers involved in processes including tumorigenesis, immune system, cell proliferation and migration, resistance to therapies, and survival of tumor cells, which can be considered representative and specific to diagnosis process by bringing greater efficiency and speed in classification of neoplasms.

Financiador do resumo

CAPES, FAPESP

Palavras Chave

Lymphoma; RNA-seq; biomarkers