Cancer’s high incidence and death rate jeopardize
human
health and life, and it has become a global public health issue. Some
members of NPCs have been studied in a few cancers, but comprehensive
and prognostic analysis is lacking in most cancers. In this study,
we used the Cancer Genome Atlas (TCGA) data genomics and transcriptome
technology to examine the differential expression and prognosis of
NPCs in 33 cancer samples, as well as to investigate NPCs mutations
and their effect on patient prognosis and to evaluate the methylation
level of NPCs in cancer. The linked mechanisms and medication resistance
were subsequently investigated in order to investigate prospective
tumor therapy approaches. The relationships between NPCs and immune
infiltration, immune cells, immunological regulatory substances, and
immune pathways were also investigated. Finally, the LUAD and KICH
prognostic prediction models were built using univariate and multivariate
COX regression analysis. Additionally, the mRNA and protein levels
of NPCs were also identified.