Q-omics provides the consensus-scored SI profile across patient tissues and cancer cell-line models. SI expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, SI is differentially expressed in 4, with the highest sampling consensus in COAD. Additionally, SI RNA expression shows 8,907 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight KIRC, COAD, and TGCT as cancer lineages where SI 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 SI — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SI survival associations across molecular data types. SI RNA expression shows survival associations in the most cancer types (20), followed by mutation status (13) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SI RNA expression–survival associations across cancer types. High SI expression shows unfavorable associations in KIRC, UCEC, BRCA, LUSC and LIHC, but favorable associations in SKCM. The KIRC 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 KIRC as the clearest survival context for SI RNA expression.
This table summarizes SI tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 4, while mass-spec protein shows differences in 2. The strongest signals are observed in COAD for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for SI. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SI shows lower tumor expression in COAD, READ and THCA and higher tumor expression in KIRC. The COAD box plot shows higher SI RNA expression in normal versus tumor tissue (log2 FC = −3.170, t-test p < 0.001).
This table shows molecular features associated with SI in patient tissues and cancer cell lines. In patient samples, SI shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, SI RNA and mutation anchors are most strongly linked to RNA-expression features, especially in KIDNEY, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and STOMACH.
