Q-omics provides the consensus-scored CICP8 profile across patient tissues and cancer cell-line models. CICP8 expression is associated with patient survival in 18 of 34 cancer types, with the highest sampling consensus in COAD. Among the 18 cancer types available for tumor–normal comparison, CICP8 is differentially expressed in 2, with the highest sampling consensus in HNSC. Additionally, CICP8 RNA expression shows 9,960 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight COAD, HNSC, and THYM as cancer lineages where CICP8 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 CICP8 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CICP8 survival associations across molecular data types. CICP8 RNA expression shows survival associations in the most cancer types (18). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CICP8 RNA expression–survival associations across cancer types. High CICP8 expression shows unfavorable associations in COAD, CHOL, DLBC, THCA and READ, but favorable associations in BRCA. The COAD 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 COAD as the clearest survival context for CICP8 RNA expression.
This table summarizes CICP8 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 2. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for CICP8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CICP8 shows higher tumor expression in HNSC and LIHC. The HNSC box plot shows higher CICP8 RNA expression in tumor versus normal tissue (log2 FC = +0.013, t-test p = .031).
This table shows molecular features associated with CICP8 in patient tissues and cancer cell lines. In patient samples, CICP8 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
