IQ motif containing EGenealiases: 1700028P05Rik · PAPA7
Q-omics provides the consensus-scored IQCE profile across patient tissues and cancer cell-line models. IQCE expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, IQCE is differentially expressed in 12, with the highest sampling consensus in THCA. Additionally, IQCE RNA expression shows 20,463 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight UVM, THCA, and ACC as cancer lineages where IQCE 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 IQCE — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes IQCE survival associations across molecular data types. IQCE RNA expression shows survival associations in the most cancer types (26), followed by mutation status (7) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible IQCE RNA expression–survival associations across cancer types. High IQCE expression shows unfavorable associations in UVM, BLCA, KICH, LGG, LUAD and LIHC. 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 IQCE RNA expression.
This table summarizes IQCE tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 3. The strongest signals are observed in THCA for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for IQCE. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. IQCE shows lower tumor expression in THCA and higher tumor expression in LIHC, KIRP, HNSC, STAD and COAD. The THCA box plot shows higher IQCE RNA expression in normal versus tumor tissue (log2 FC = −0.904, t-test p < 0.001).
This table shows molecular features associated with IQCE in patient tissues and cancer cell lines. In patient samples, IQCE shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, IQCE RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in SKIN and SOFT_TISSUE.
