Q-omics provides the consensus-scored KCP profile across patient tissues and cancer cell-line models. KCP expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, KCP is differentially expressed in 16, with the highest sampling consensus in KICH. Additionally, KCP RNA expression shows 16,161 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight UVM, KICH, and TGCT as cancer lineages where KCP 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 KCP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes KCP survival associations across molecular data types. KCP RNA expression shows survival associations in the most cancer types (24), followed by mutation status (3) 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 KCP RNA expression–survival associations across cancer types. High KCP expression shows unfavorable associations in UVM, ACC, LUAD and LGG, but favorable associations in ESCA and BLCA. The UVM 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 UVM as the clearest survival context for KCP RNA expression.
This table summarizes KCP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16, while mass-spec protein shows differences in 5. The strongest signals are observed in THCA for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for KCP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. KCP shows lower tumor expression in KICH and higher tumor expression in THCA, COAD, KIRP, HNSC and LUAD. The KICH box plot shows higher KCP RNA expression in normal versus tumor tissue (log2 FC = −3.700, t-test p < 0.001).
This table shows molecular features associated with KCP in patient tissues and cancer cell lines. In patient samples, KCP shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, KCP RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in SKIN.
