Q-omics provides the consensus-scored SAGE1 profile across patient tissues and cancer cell-line models. SAGE1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in COAD. Among the 18 cancer types available for tumor–normal comparison, SAGE1 is differentially expressed in 9, with the highest sampling consensus in KIRP. Additionally, SAGE1 RNA expression shows 6,124 significant pathway-activity associations, with the highest sampling consensus in HNSC. Together, these results highlight COAD, KIRP, and HNSC as cancer lineages where SAGE1 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 SAGE1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SAGE1 survival associations across molecular data types. SAGE1 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (11). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SAGE1 RNA expression–survival associations across cancer types. High SAGE1 expression shows unfavorable associations in COAD, LAML and LIHC, but favorable associations in SKCM, SCLC and MESO. The COAD 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 COAD as the clearest survival context for SAGE1 RNA expression.
This table summarizes SAGE1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in KIRP for RNA.
This table ranks reproducible tumor–normal expression differences for SAGE1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SAGE1 shows higher tumor expression in KIRP, HNSC, STAD, LUSC, KIRC and KICH. The KIRP box plot shows higher SAGE1 RNA expression in tumor versus normal tissue (log2 FC = +0.054, t-test p = .029).
This table shows molecular features associated with SAGE1 in patient tissues and cancer cell lines. In patient samples, SAGE1 shows the broadest associations at the RNA and protein expression levels, with HNSC recurring as the lineage with the largest associated feature set. In cancer cell lines, SAGE1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OESOPHAGUS, while CRISPR and shRNA rows add functional-dependency signals in OVARY and LARGE_INTESTINE.
