SLC2A1 and breast cancer: Recent studies have demonstrated the potential of machine learning (ML) algorithms in identifying key genes associated with BC, such as TXNIP, SLC2A1, and ATF3, shedding light on the diseases’ occurrence, development, and prognosis.