Q-omics provides the consensus-scored IQCD profile across patient tissues and cancer cell-line models. IQCD expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, IQCD is differentially expressed in 13, with the highest sampling consensus in KICH. Additionally, IQCD RNA expression shows 19,335 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight KICH, and KIRP as cancer lineages where IQCD 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 IQCD — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes IQCD survival associations across molecular data types. IQCD RNA expression shows survival associations in the most cancer types (26), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible IQCD RNA expression–survival associations across cancer types. High IQCD expression shows unfavorable associations in KICH, LIHC, ACC and LGG, but favorable associations in PAAD and KIRP. The KICH Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify KICH as the clearest survival context for IQCD RNA expression.
This table summarizes IQCD tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for IQCD. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. IQCD shows lower tumor expression in KICH, KIRC and LUSC and higher tumor expression in LIHC, BRCA and STAD. The KICH box plot shows higher IQCD RNA expression in normal versus tumor tissue (log2 FC = −2.537, t-test p < 0.001).
This table shows molecular features associated with IQCD in patient tissues and cancer cell lines. In patient samples, IQCD shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set. In cancer cell lines, IQCD RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and BREAST.
