Integrative Transcriptomic Profiling and In Silico Interactome Analysis of the CCND1 – ITGB1 Axis: Clinical Expression Patterns and Systems Biology Correlation in Breast Carcinoma

Breast cancer remains a leading cause of cancer-related mortality in women, necessitating the identification of robust biomarkers for early detection and prognostic assessment. This study utilizes an integrative transcriptomic approach to evaluate the expression of CCND1 and ITGB1 transcripts in a clinical cohort of 30 patients. Using quantitative Real-Time PCR and 2−∆∆CT analysis, we demonstrate a significant upregulation of both markers in tumor tissues com-pared to normal margins (P < 0.0001). Furthermore, we integrate these clinical findings with large-scale transcriptomic repository data, revealing a statistically detectable, though modest, association (R = 0.068, P = 0.019). These results suggest that the coordinated dysregulation of cell cycle control and cellular adhesion serves as a coordinated molecular axis for breast cancer progression and prognostic assessment.