SRS126 - MLN64 and StarD3NL highly correlated with the autophagy marker SQSTM1 and BECN1 in breast cancer, and indicate prognostic and therapeutic potential
Shows strong correlations between MLN64, STARD3NL, and autophagy markers in breast cancer, suggesting clinical significance.
Key Points
The research aims to explore the relationship between MLN64, STARD3NL, and autophagy markers, along with their implications in breast cancer prognosis.
Analyzed a cohort of breast cancer tissues for expression levels of MLN64, STARD3NL, SQSTM1, and BECN1.
Conducted bioinformatic analyses to determine correlations with clinical outcomes.
Utilized statistical methods to assess the prognostic value of the markers in relation to survival outcomes.
MLN64 showed significant correlations with SQSTM1 (R = 0.376, P = 1.3 × 10⁻⁵) and BECN1 (R = 0.374, P = 1.5 × 10⁻⁵).
STARD3NL also correlated with SQSTM1 (P = 1.7 × 10⁻⁵) and BECN1 (P = 6.4 × 10⁻⁵).
Combined analysis classified MLN64, STARD3NL, and BECN1 as a prognostic marker (AUC = 0.716, P = 0.002).
These markers significantly predicted overall survival (P = 3.5 × 10⁻⁵) and disease-free survival (P = 4.0 × 10⁻⁵), particularly in patients with low aromatase levels (P = 7.44 × 10⁻⁷).