Sin3A associated protein 18Genealiases: 2HOR0202 · SAP18P
Q-omics provides the consensus-scored SAP18 profile across patient tissues and cancer cell-line models. SAP18 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, SAP18 is differentially expressed in 11, with the highest sampling consensus in KICH. Additionally, SAP18 protein abundance shows 30,061 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRC, KICH, and LSCC as cancer lineages where SAP18 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 SAP18 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SAP18 survival associations across molecular data types. SAP18 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (3) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SAP18 RNA expression–survival associations across cancer types. High SAP18 expression shows unfavorable associations in ESCA, UVM and HNSC, but favorable associations in KIRC, MESO and LGG. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for SAP18 RNA expression.
This table summarizes SAP18 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 KICH for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for SAP18. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SAP18 shows lower tumor expression in KICH, THCA, LUAD and LUSC and higher tumor expression in COAD and LIHC. The KICH box plot shows higher SAP18 RNA expression in normal versus tumor tissue (log2 FC = −1.731, t-test p < 0.001).
This table shows molecular features associated with SAP18 in patient tissues and cancer cell lines. In patient samples, SAP18 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, SAP18 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in SKIN and UPPER_AERODIGESTIVE_TRACT.
