protein C, inactivator of coagulation factors Va and VIIIaGenealiases: APC · PC · PROC1 · THPH3 · THPH4
Q-omics provides the consensus-scored PROC profile across patient tissues and cancer cell-line models. PROC expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in STAD. Among the 18 cancer types available for tumor–normal comparison, PROC is differentially expressed in 17, with the highest sampling consensus in KICH. Additionally, PROC protein abundance shows 20,902 significant protein co-abundance associations, with the highest sampling consensus in CCRCC. Together, these results highlight STAD, KICH, and CCRCC as cancer lineages where PROC shows reproducible signals across survival, tumor–normal expression, and patient cross-omics analyses.
Every result is evaluated using two consensus scores. Sampling consensus measures how consistently a finding is reproduced within a cancer lineage across different conditions. Lineage consensus measures how broadly the result is shared across cancer types, distinguishing pan-cancer signals from lineage-specific patterns.
Premium analyses for PROC — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PROC survival associations across molecular data types. PROC RNA expression shows survival associations in the most cancer types (23), followed by mutation status (3) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PROC RNA expression–survival associations across cancer types. High PROC expression shows unfavorable associations in STAD, ACC and LGG, but favorable associations in SCLC, THCA and SKCM. The STAD Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .003). Together, the overview and detailed table identify STAD as the clearest survival context for PROC RNA expression.
This table summarizes PROC tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 17, while mass-spec protein shows differences in 7. The strongest signals are observed in KIRC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for PROC. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PROC shows lower tumor expression in KICH, KIRC and KIRP and higher tumor expression in HNSC, LUAD and THCA. The KICH box plot shows higher PROC RNA expression in normal versus tumor tissue (log2 FC = −3.736, t-test p < 0.001).
This table shows molecular features associated with PROC in patient tissues and cancer cell lines. In patient samples, PROC shows the broadest associations at the RNA and protein expression levels, with CCRCC recurring as the lineage with the largest associated feature set. In cancer cell lines, PROC RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUAD and BLOOD_Lymphoma.
