Exploring the Integrated Role of Akt2, Cd44v6, and Mt1-Mmp As Predictors of Axillary Lymph Node Metastasis in Invasive Breast Carcinoma of No Special Type

Background objective: invasive breast carcinoma of no special type (ibc-nst) is the most common type of breast cancer, which mainly causes axillary lymph-node metastasis (alnm). building on our previous research, we wanted to explore the optimal combination of akt2, cd44v6, and mt1-mmp for the alnm prediction.methods: the presence or absence of alnm was used to separate 46 paraffin blocks containing ibc-nst primary tumors into two groups. age, tumor grade, tumor size, receptor status (er, pr, her2, ki-67, top2a), and test biomarker expression were evaluated. biomarker expressions were assessed by ihc staining and categorized according to their respective cut-offs from our previous study, while other data were collected from archives. data was gathered and analyzed using univariate, multivariate, and auroc models.results: the expression of cd44v6 (or: 12.77, 95% ci: 2.18-87.12, p=0.005) was identified as the independent variable for alnm. meanwhile, akt2 expression (or: 3.22, 95% ci: 0.36-22.41, p=0.237) and mt1-mmp expression (or: 5.35, 95% ci: 0.83-34.54, p=0.078) did not demonstrate a statistically significant independent association in respect to alnm. combining akt2 and mt1-mmp on cd44v6 increased overall accuracy by 4% compared to cd44v6 alone (auroc 0.89 vs. 0.85).conclusion: the combined usage of akt2, cd44v6, and mt1-mmp revealed no significant change compared to cd44v6 alone. due to cost and practicality, we propose using cd44v6 as a biomarker predictor of alnm in ibc-nst.