Q-omics provides the consensus-scored SAA4 profile across patient tissues and cancer cell-line models. SAA4 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, SAA4 is differentially expressed in 10, with the highest sampling consensus in LIHC. Additionally, SAA4 RNA expression shows 13,471 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRC, LIHC, and LSCC as cancer lineages where 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 SAA4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SAA4 survival associations across molecular data types. SAA4 RNA expression shows survival associations in the most cancer types (22). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SAA4 RNA expression–survival associations across cancer types. High SAA4 expression shows unfavorable associations in KIRC, CHOL, LGG and OV, but favorable associations in LUSC and BRCA. 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 SAA4 RNA expression.
This table summarizes 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 LIHC for RNA.
This table ranks reproducible tumor–normal expression differences for SAA4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SAA4 shows lower tumor expression in LIHC, BRCA and CHOL and higher tumor expression in KIRC, COAD and LUAD. The LIHC box plot shows higher SAA4 RNA expression in normal versus tumor tissue (log2 FC = −3.729, t-test p < 0.001).
This table shows molecular features associated with SAA4 in patient tissues and cancer cell lines. In patient samples, SAA4 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, SAA4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in STOMACH, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Myeloma and UPPER_AERODIGESTIVE_TRACT.
