serpin family B member 8Genealiases: C18orf53 · CAP2 · PI-8 · PI8 · PSS5
Q-omics provides the consensus-scored SERPINB8 profile across patient tissues and cancer cell-line models. SERPINB8 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, SERPINB8 is differentially expressed in 7, with the highest sampling consensus in KIRC. Additionally, SERPINB8 protein abundance shows 21,422 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight UVM, KIRC, and GBM as cancer lineages where SERPINB8 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 SERPINB8 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SERPINB8 survival associations across molecular data types. SERPINB8 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (5) and mass-spec protein abundance (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SERPINB8 RNA expression–survival associations across cancer types. High SERPINB8 expression shows unfavorable associations in UVM, LGG, PAAD and KICH, but favorable associations in LUSC and OV. The UVM 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 UVM as the clearest survival context for SERPINB8 RNA expression.
This table summarizes SERPINB8 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7, while mass-spec protein shows differences in 5. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for SERPINB8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SERPINB8 shows lower tumor expression in KICH, LUAD and LUSC and higher tumor expression in KIRC, KIRP and THCA. The KIRC box plot shows higher SERPINB8 RNA expression in tumor versus normal tissue (log2 FC = +1.057, t-test p < 0.001).
This table shows molecular features associated with SERPINB8 in patient tissues and cancer cell lines. In patient samples, SERPINB8 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, SERPINB8 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUAD and BONE.
