Q-omics provides the consensus-scored C8G profile across patient tissues and cancer cell-line models. C8G expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, C8G is differentially expressed in 11, with the highest sampling consensus in KIRC. Additionally, C8G protein abundance shows 26,418 significant protein co-abundance associations, with the highest sampling consensus in PDAC. Together, these results highlight UVM, KIRC, and PDAC as cancer lineages where C8G 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 C8G — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes C8G survival associations across molecular data types. C8G RNA expression shows survival associations in the most cancer types (28), followed by mutation status (2) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible C8G RNA expression–survival associations across cancer types. High C8G expression shows unfavorable associations in UVM, ACC, KIRC, THYM, UCS and MESO. 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 C8G RNA expression.
This table summarizes C8G tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 6. The strongest signals are observed in KIRC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for C8G. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. C8G shows lower tumor expression in COAD, THCA and READ and higher tumor expression in KIRC, KICH and BLCA. The KIRC box plot shows higher C8G RNA expression in tumor versus normal tissue (log2 FC = +0.677, t-test p < 0.001).
This table shows molecular features associated with C8G in patient tissues and cancer cell lines. In patient samples, C8G shows the broadest associations at the RNA and protein expression levels, with PDAC recurring as the lineage with the largest associated feature set. In cancer cell lines, C8G RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and BREAST.
