Furthermore, the LASSO-regularized linear Cox regression established a 10-gene risk model predicting ovarian cancer prognosis, consisting of LAMP2, NOS2, ALOX5, CD44, CHMP5, FH, GOT1, DUOX2, SLC7A11, and DDIT3, all of which could play a role in ovarian cancer development. This evidence concerns the gene CD44 and ovarian carcinoma.