In our study, we conducted a comprehensive and profound bioinformatics analysis of MUC4 expression and correlation with prognosis and immune infiltration in cancer patients through Oncomine (Rhodes et al., 2004), TIMER2.0 (Li et al., 2020), PrognoScan (Mizuno et al., 2009), Kaplan–Meier plotter (Nagy et al., 2021), GEPIA2 (Tang et al., 2019), UALCAN (Chandrashekar et al., 2017), TISIDB (Ru et al., 2019), cBioPortal (Gao et al., 2013), and CVCDAP (Guan et al., 2020). Here, MUC4 is linked to cancer.