serpin family B member 3Genealiases: HsT1196 · SCC · SCCA-1 · SCCA-PD · SCCA1 · SSCA1
Q-omics provides the consensus-scored SERPINB3 profile across patient tissues and cancer cell-line models. SERPINB3 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, SERPINB3 is differentially expressed in 5, with the highest sampling consensus in LUSC. Additionally, SERPINB3 protein abundance shows 15,937 significant protein co-abundance associations, with the highest sampling consensus in HNSC. Together, these results highlight KIRC, LUSC, and HNSC as cancer lineages where SERPINB3 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 SERPINB3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SERPINB3 survival associations across molecular data types. SERPINB3 RNA expression shows survival associations in the most cancer types (20), followed by mutation status (8) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SERPINB3 RNA expression–survival associations across cancer types. High SERPINB3 expression shows unfavorable associations in KIRC, KIRP, SKCM and LIHC, but favorable associations in LUSC and READ. 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 SERPINB3 RNA expression.
This table summarizes SERPINB3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5, while mass-spec protein shows differences in 8. The strongest signals are observed in LUSC for RNA and PDAC for protein.
This table ranks reproducible tumor–normal expression differences for SERPINB3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SERPINB3 shows higher tumor expression in LUSC, PAAD, LUAD, BLCA and STAD. The LUSC box plot shows higher SERPINB3 RNA expression in tumor versus normal tissue (log2 FC = +3.306, t-test p < 0.001).
This table shows molecular features associated with SERPINB3 in patient tissues and cancer cell lines. In patient samples, SERPINB3 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, SERPINB3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and LARGE_INTESTINE.
