protein C receptorGenealiases: CCCA · CCD41 · EPCR
Q-omics provides the consensus-scored PROCR profile across patient tissues and cancer cell-line models. PROCR expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, PROCR is differentially expressed in 15, with the highest sampling consensus in HNSC. Additionally, PROCR protein abundance shows 29,696 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRP, HNSC, and GBM as cancer lineages where PROCR 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 PROCR — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PROCR survival associations across molecular data types. PROCR RNA expression shows survival associations in the most cancer types (23), followed by mutation status (4) and mass-spec protein abundance (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PROCR RNA expression–survival associations across cancer types. High PROCR expression shows unfavorable associations in KIRP, LGG, ACC and STAD, but favorable associations in MESO and READ. The KIRP Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRP as the clearest survival context for PROCR RNA expression.
This table summarizes PROCR tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15, while mass-spec protein shows differences in 9. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for PROCR. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PROCR shows lower tumor expression in UCEC, KICH and BRCA and higher tumor expression in HNSC, KIRC and COAD. The HNSC box plot shows higher PROCR RNA expression in tumor versus normal tissue (log2 FC = +3.158, t-test p < 0.001).
This table shows molecular features associated with PROCR in patient tissues and cancer cell lines. In patient samples, PROCR shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, PROCR RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in SKIN and BREAST.
