Q-omics provides the consensus-scored CATIP profile across patient tissues and cancer cell-line models. CATIP expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in LGG. Among the 18 cancer types available for tumor–normal comparison, CATIP is differentially expressed in 11, with the highest sampling consensus in KIRC. Additionally, CATIP RNA expression shows 15,478 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight LGG, KIRC, and UVM as cancer lineages where CATIP 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 CATIP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CATIP survival associations across molecular data types. CATIP RNA expression shows survival associations in the most cancer types (20), followed by mutation status (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CATIP RNA expression–survival associations across cancer types. High CATIP expression shows unfavorable associations in LGG, DLBC and ACC, but favorable associations in HNSC, MESO and BRCA. 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 CATIP RNA expression.
This table summarizes CATIP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 1. The strongest signals are observed in KIRC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for CATIP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CATIP shows lower tumor expression in KIRC, KICH, LUAD and THCA and higher tumor expression in LIHC and COAD. The KIRC box plot shows higher CATIP RNA expression in normal versus tumor tissue (log2 FC = −0.828, t-test p < 0.001).
This table shows molecular features associated with CATIP in patient tissues and cancer cell lines. In patient samples, CATIP 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, CATIP RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LIVER, while CRISPR and shRNA rows add functional-dependency signals in LUNG_SCLC and BLOOD_Leukemia.
