serpin family B member 6Genealiases: CAP · DFNB91 · MSTP057 · PI-6 · PI6 · PTI
Q-omics provides the consensus-scored SERPINB6 profile across patient tissues and cancer cell-line models. SERPINB6 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, SERPINB6 is differentially expressed in 11, with the highest sampling consensus in KIRC. Additionally, SERPINB6 protein abundance shows 29,915 significant protein co-abundance associations, with the highest sampling consensus in LUAD. Together, these results highlight UVM, KIRC, and LUAD as cancer lineages where SERPINB6 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 SERPINB6 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SERPINB6 survival associations across molecular data types. SERPINB6 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (2) 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 SERPINB6 RNA expression–survival associations across cancer types. High SERPINB6 expression shows unfavorable associations in LIHC, KICH, SCLC and LGG, but favorable associations in UVM and KIRC. The UVM Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .002). Together, the overview and detailed table identify UVM as the clearest survival context for SERPINB6 RNA expression.
This table summarizes SERPINB6 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 7. The strongest signals are observed in KIRC for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for SERPINB6. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SERPINB6 shows lower tumor expression in HNSC, LUSC, LUAD and UCEC and higher tumor expression in KIRC and LIHC. The KIRC box plot shows higher SERPINB6 RNA expression in tumor versus normal tissue (log2 FC = +0.703, t-test p < 0.001).
This table shows molecular features associated with SERPINB6 in patient tissues and cancer cell lines. In patient samples, SERPINB6 shows the broadest associations at the RNA and protein expression levels, with LUAD recurring as the lineage with the largest associated feature set. In cancer cell lines, SERPINB6 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in URINARY_TRACT, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and BONE.
