Q-omics provides the consensus-scored CATSPERE profile across patient tissues and cancer cell-line models. CATSPERE expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in LGG. Among the 18 cancer types available for tumor–normal comparison, CATSPERE is differentially expressed in 9, with the highest sampling consensus in KICH. Additionally, CATSPERE RNA expression shows 20,209 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight LGG, KICH, and UVM as cancer lineages where CATSPERE 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 CATSPERE — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CATSPERE survival associations across molecular data types. CATSPERE RNA expression shows survival associations in the most cancer types (23), followed by mutation status (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CATSPERE RNA expression–survival associations across cancer types. High CATSPERE expression shows unfavorable associations in LGG, KICH and ACC, but favorable associations in HNSC, LUAD and PCPG. The LGG 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 LGG as the clearest survival context for CATSPERE RNA expression.
This table summarizes CATSPERE tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for CATSPERE. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CATSPERE shows lower tumor expression in KICH, KIRC, THCA, KIRP and LUSC and higher tumor expression in LIHC. The KICH box plot shows higher CATSPERE RNA expression in normal versus tumor tissue (log2 FC = −1.107, t-test p < 0.001).
This table shows molecular features associated with CATSPERE in patient tissues and cancer cell lines. In patient samples, CATSPERE 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, CATSPERE RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in KIDNEY and BLOOD_Leukemia.
