Q-omics provides the consensus-scored SAA2-SAA4 profile across patient tissues and cancer cell-line models. SAA2-SAA4 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, SAA2-SAA4 is differentially expressed in 10, with the highest sampling consensus in KIRC. Additionally, SAA2-SAA4 RNA expression shows 9,798 significant gene co-expression associations, with the highest sampling consensus in BLCA. Together, these results highlight KIRC, and BLCA as cancer lineages where SAA2-SAA4 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 SAA2-SAA4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SAA2-SAA4 survival associations across molecular data types. SAA2-SAA4 RNA expression shows survival associations in the most cancer types (23), 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 SAA2-SAA4 RNA expression–survival associations across cancer types. High SAA2-SAA4 expression shows unfavorable associations in KIRC, LGG, OV and HNSC, but favorable associations in BRCA and LUSC. 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 SAA2-SAA4 RNA expression.
This table summarizes SAA2-SAA4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for SAA2-SAA4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SAA2-SAA4 shows lower tumor expression in LIHC, BRCA and CHOL and higher tumor expression in KIRC, LUAD and ESCA. The KIRC box plot shows higher SAA2-SAA4 RNA expression in tumor versus normal tissue (log2 FC = +1.257, t-test p < 0.001).
This table shows molecular features associated with SAA2-SAA4 in patient tissues and cancer cell lines. In patient samples, SAA2-SAA4 shows the broadest associations at the RNA and protein expression levels, with BLCA recurring as the lineage with the largest associated feature set. In cancer cell lines, SAA2-SAA4 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 OESOPHAGUS.
