Q-omics provides the consensus-scored IQCF4P profile across patient tissues and cancer cell-line models. IQCF4P expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in THCA. Among the 18 cancer types available for tumor–normal comparison, IQCF4P is differentially expressed in 3, with the highest sampling consensus in KIRC. Additionally, IQCF4P RNA expression shows 6,757 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight THCA, KIRC, and STAD as cancer lineages where IQCF4P 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 IQCF4P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes IQCF4P survival associations across molecular data types. IQCF4P 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 IQCF4P RNA expression–survival associations across cancer types. High IQCF4P expression shows unfavorable associations in THCA, READ, BRCA and MESO, but favorable associations in BLCA and LGG. The THCA 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 THCA as the clearest survival context for IQCF4P RNA expression.
This table summarizes IQCF4P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for IQCF4P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. IQCF4P shows lower tumor expression in KIRC and KIRP and higher tumor expression in UCEC. The KIRC box plot shows higher IQCF4P RNA expression in normal versus tumor tissue (log2 FC = −0.020, t-test p < 0.001).
This table shows molecular features associated with IQCF4P in patient tissues and cancer cell lines. In patient samples, IQCF4P shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
