Using publicly available datasets, we propose an integrated computational framework based on a binary classification model and driven by the cancer hallmark ERBB to discover common miRNA signatures characterizing breast, endometrial, and ovarian tumors as possible diagnostic biomarkers, which would have potential for future research in clinical practice. Here, EGFR is linked to cancer.