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논문 기본 정보

자료유형
학술저널
저자정보
Medina-Jaime, Alma Delia (Health Services of Durango SSD) Reyes-Vargas, Francianella (Cancer State Center of the Ministry of Health of Durango SSD) Martinez-Gaytan, Victoria (UMAE 23 IMSS Monterrey) Zambrano-Galvan, Graciela (Faculty of Dentistry UJED) Portillo-DelCampo, Eduardo (Espana Autonomous University of Durango) Burciaga-Nava, Jorge Alberto (Faculty of Medicine and Nutrition UJED) Reyes-Romero, Miguel (Faculty of Medicine and Nutrition UJED) Sifuentes-Alvarez, Antonio (Faculty of Medicine and Nutrition UJED)
저널정보
아시아태평양암예방학회 Asian Pacific journal of cancer prevention : APJCP Asian Pacific journal of cancer prevention : APJCP 제15권 제7호
발행연도
2014.1
수록면
3,041 - 3,044 (4page)

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The aim of this work was to analyze methylation of the promoter sites of the ESR1 and PGR genes and to determine correlations with immunohistochemical expression of estrogen and progesterone receptors in ductal and lobular breast cancers. An observational, descriptive, molecular study was conducted on 20 ductal and 20 lobular breast cancer samples with immunohistochemical determination of estrogen and progesterone receptor expression. The methylation analysis of ESR1 and PGR promoter sites was carried-out by methylation-specific PCR. For correlation analysis, Kendall's tau coefficient was determined. Positive correlations were found between estrogen and progesterone receptors, estrogen receptor and unmethylated progesterone receptor, progesterone receptor, and unmethylated progesterone receptor. Negative correlations were found between estrogen receptor and methylated progesterone receptor, progesterone receptor and methylated progesterone receptor, methylated and unmethylated estrogen receptor, and methylated and unmethylated progesterone receptor. The results suggest that methylation of promoter sites of ESR1 and PGR is a relatively uncommon event in ductal and lobular breast cancer, and also suggest that the determination of epigenetic states of ESR1 and PGR could represent an alternative or complement to the histopathological expression analysis.

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