Breast cancer is a severely aggressive disease in women worldwide and its diagnosis at the early stage gives her a great option for treatment. Despite physical examination for detecting the breast tumors, biomarkers are helpful for treatment and identification. In this study, hormones (such as progesterone (PR), estrogen (ER), prolactin (PRL)) and proteins (CA 15-3, lactate dehydrogenase (LDH), β-2-microglobulin (β2-M)) were estimated in serum of 80 paired samples of normal and breast cancer women using Cobas 6000. The Pvalue (p≤ 0.05) was used to statistical significance. In normal cases, age factor was negatively correlated with PR (r2=-0.5) and positively correlated with ER (r2=0.5). The serum CEA level was negatively linked to ER(r2=0.5), but positively linked to PRL(r2=0.5) and CA 15-3 (r2=0.8). Moreover, the serum CA 15-3 level had a negative correlation with ER(r2=-0.6) and a positive correlation with PRL(r2=0.5). Serum PRL was positively related with ER(r2=0.6), but serum ER level had a negative correlation with PR(r2=-0.4). However, the age factor in patient with breast cancer was negatively correlated with the serum ER level(r2=-0.5), and positively correlated with serum CA 15-3(r2=0.4) and β2-M(r2=0.5). The serum β2-M level had a positive correlation with each of PRL(r2=0.4), CA 15-3(r2=0.7), CEA(r2=0.5), and LDH(r2=0.6). In addition, the serum LDH level had a positive correlation with each of PRL(r2=0.5), CA 15-3(r2=0.8), and CEA(r2=0.5). The serum CEA level was positively related to CA 15-3(r2=0.7), while the serum CA 15-3 was positively correlated with PR(r2=0.5). These results showed evidences that this strategy may be promising for breast cancer early diagnosis and treatment.

Keywords: Breast cancer, Biomarker, PR, ER, PRL, CA 15-3, LDH and β2-M

DOI: http://doi.org/10.24086/biohs2022/paper.710