IMBECU   20882
INSTITUTO DE MEDICINA Y BIOLOGIA EXPERIMENTAL DE CUYO
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Analysis of the methylation profile of 49 cancer-related regions in human breast cancer
Autor/es:
MARZESE, D.M.; GAGO, F.E.; OROZCO, J.I.; TELLO, O.M.; ROQUÉ, M.; VARGAS ROIG, L.M.
Lugar:
Chicago, USA
Reunión:
Congreso; American Society of Clinical Oncology 46th Annual Meeting; 2010
Institución organizadora:
American Society of Clinical Oncology
Resumen:
Background: Aberrant methylation of CpG islands is a common mechanism for suppressing gene expression in breast cancer. The methylation profile of primary tumor could serve to detect circulating tumor-specific DNA (ctDNA) in peripheral blood of cancer patients. Methods: The methylation status of 49 cancer-related regions was studied using methyl specific-multiplex ligation probe amplification (MS-MLPA) assay in invasive breast tumors (n=68), axillary lymph nodes (n= 21), and normal breast tissue (n=7). A double round of MS-MLPA (drMS-MLPA) was set up to identify ctDNA in pre-surgical peripheral blood samples. Blood samples from healthy individuals were used as control. Results: We observed methylation of at least 5 of the 49 studied gene regions in all the breast cancer samples. The profile was specific for each tumor and we found that the frequency of methylation of some genes was significant different according to the molecular classification, the tumor grade, and the involvement of lymph nodes. For example, the methylation of p73 appeared in 37% of Luminal A tumors vs. 100% of HER2 tumors (p=0.0006), and in 73% of Triple Negative tumors (p=0.045). The methylation of CDH13 was present in 21% of Luminal A vs. 70% of HER2 (p=0.006). p73 was methylated in 17%, 38%, and 87% of tumor grade 1, 2 and 3, respectively (p=0.0025, grade 1 vs. 3, and p=0.001, grade 2 vs. 3). The methylation of RARâ appeared in 48% of primary tumors with positive lymph nodes and in 14% of tumors with negative nodes (p=0.03). Using drMS-MLPA approach we were able to detect ctDNA in pre-surgical blood samples based on the epigenetic signature of primary tumors and we also could establish its sensitivity. Conclusions: The methylation of some genes correlates with pathological characteristics of breast cancer. This methylation is related to prognostic parameters like tumor grade or lymph nodes metastasis. The drMS-MLPA approach could be useful for the follow up of breast cancer patients.