Using the ML-based bioinformatics analysis, we successfully identified an eight-gene signature consisting of CA2, CYP2E1, HSD17B, SSTR3, SULT1E1, TUBB3, UCN, and UGT2B7, predicting the prognosis of PC. Here, CA2 is linked to pachyonychia congenita.