Q-omics provides the consensus-scored ITCH-IT1 profile across patient tissues and cancer cell-line models. ITCH-IT1 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in READ. Among the 18 cancer types available for tumor–normal comparison, ITCH-IT1 is differentially expressed in 5, with the highest sampling consensus in COAD. Additionally, ITCH-IT1 RNA expression shows 7,725 significant protein co-abundance associations, with the highest sampling consensus in CCRCC. Together, these results highlight READ, COAD, and CCRCC as cancer lineages where ITCH-IT1 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 ITCH-IT1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ITCH-IT1 survival associations across molecular data types. ITCH-IT1 RNA expression shows survival associations in the most cancer types (17). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ITCH-IT1 RNA expression–survival associations across cancer types. High ITCH-IT1 expression shows unfavorable associations in READ, KIRC, COAD, UCEC and MESO, but favorable associations in BRCA. The READ 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 READ as the clearest survival context for ITCH-IT1 RNA expression.
This table summarizes ITCH-IT1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for ITCH-IT1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ITCH-IT1 shows lower tumor expression in LUAD and higher tumor expression in COAD, STAD, BLCA and LUSC. The COAD box plot shows higher ITCH-IT1 RNA expression in tumor versus normal tissue (log2 FC = +0.274, t-test p = .005).
This table shows molecular features associated with ITCH-IT1 in patient tissues and cancer cell lines. In patient samples, ITCH-IT1 shows the broadest associations at the RNA and protein expression levels, with CCRCC recurring as the lineage with the largest associated feature set.
