serpin family B member 1Genealiases: EI · ELANH2 · HEL-S-27 · HEL57 · LEI · M/NEI
Q-omics provides the consensus-scored SERPINB1 profile across patient tissues and cancer cell-line models. SERPINB1 expression is associated with patient survival in 29 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, SERPINB1 is differentially expressed in 12, with the highest sampling consensus in KIRC. Additionally, SERPINB1 protein abundance shows 24,089 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRC, and GBM as cancer lineages where SERPINB1 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 SERPINB1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SERPINB1 survival associations across molecular data types. SERPINB1 RNA expression shows survival associations in the most cancer types (29), followed by mutation status (4) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SERPINB1 RNA expression–survival associations across cancer types. High SERPINB1 expression shows unfavorable associations in LGG, ACC, PAAD and GBM, but favorable associations in KIRC and MESO. 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 SERPINB1 RNA expression.
This table summarizes SERPINB1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, 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 SERPINB1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SERPINB1 shows lower tumor expression in HNSC and LUSC and higher tumor expression in KIRC, LIHC, KIRP and CHOL. The KIRC box plot shows higher SERPINB1 RNA expression in tumor versus normal tissue (log2 FC = +1.081, t-test p < 0.001).
This table shows molecular features associated with SERPINB1 in patient tissues and cancer cell lines. In patient samples, SERPINB1 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, SERPINB1 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 CNS and BONE.
