Q-omics provides the consensus-scored CENPS-CORT profile across patient tissues and cancer cell-line models. CENPS-CORT 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, CENPS-CORT is differentially expressed in 12, with the highest sampling consensus in KICH. Additionally, CENPS-CORT RNA expression shows 18,557 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UVM, and KICH as cancer lineages where CENPS-CORT 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 CENPS-CORT — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CENPS-CORT survival associations across molecular data types. CENPS-CORT RNA expression shows survival associations in the most cancer types (24), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CENPS-CORT RNA expression–survival associations across cancer types. High CENPS-CORT expression shows unfavorable associations in UVM, ACC, LIHC, KICH and LGG, but favorable associations in CESC. 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 CENPS-CORT RNA expression.
This table summarizes CENPS-CORT tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for CENPS-CORT. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CENPS-CORT shows lower tumor expression in KICH and THCA and higher tumor expression in BLCA, STAD, HNSC and BRCA. The KICH box plot shows higher CENPS-CORT RNA expression in normal versus tumor tissue (log2 FC = −1.182, t-test p < 0.001).
This table shows molecular features associated with CENPS-CORT in patient tissues and cancer cell lines. In patient samples, CENPS-CORT shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, CENPS-CORT RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE.
