Transcriptional profile of fibroblasts obtained from the primary site, lymph node and bone marrow of breast cancer patients

Genetics and Molecular Biology

Paulo Roberto Del Valle²  Cintia Milani²  Maria Mitzi Brentani²  Maria Lucia Hirata Katayama²  Eduardo Carneiro De Lyra¹  Dirce Maria Carraro¹  Helena Brentani¹  Renato Puga¹  Leandro A. Lima¹  Patricia Bortman Rozenchan²  Bárbara Dos Santos Nunes²  João Carlos Guedes Sampaio Góes¹  Maria Aparecida Azevedo Koike Folgueira² 

[1] ,Universidade de São Paulo Faculdade de Medicina Departamento de Radiologia e OncologiaSão Paulo SP ,Brazil

关键词: bone marrow;    breast neoplasm;    fibroblast;    gene expression profiling;    lymph node;    mesenchymal stromal cells;    tumor microenvironment;   

DOI  :  10.1590/S1415-47572014000400002

来源: SciELO

【 摘 要 】

Cancer-associated fibroblasts (CAF) influence tumor development at primary as well as in metastatic sites, but there have been no direct comparisons of the transcriptional profiles of stromal cells from different tumor sites. In this study, we used customized cDNA microarrays to compare the gene expression profile of stromal cells from primary tumor (CAF, n = 4), lymph node metastasis (N+, n = 3) and bone marrow (BM, n = 4) obtained from breast cancer patients. Biological validation was done in another 16 samples by RT-qPCR. Differences between CAF vs N+, CAF vs BM and N+ vs BM were represented by 20, 235 and 245 genes, respectively (SAM test, FDR < 0.01). Functional analysis revealed that genes related to development and morphogenesis were overrepresented. In a biological validation set, NOTCH2 was confirmed to be more expressed in N+ (vs CAF) and ADCY2, HECTD1, HNMT, LOX, MACF1, SLC1A3 and USP16 more expressed in BM (vs CAF). Only small differences were observed in the transcriptional profiles of fibroblasts from the primary tumor and lymph node of breast cancer patients, whereas greater differences were observed between bone marrow stromal cells and the other two sites. These differences may reflect the activities of distinct differentiation programs.

【 授权许可】

CC BY   
 All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License