serpin family E member 1Genealiases: PAI · PAI-1 · PAI1 · PLANH1
Q-omics provides the consensus-scored SERPINE1 profile across patient tissues and cancer cell-line models. SERPINE1 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, SERPINE1 is differentially expressed in 12, with the highest sampling consensus in HNSC. Additionally, SERPINE1 protein abundance shows 35,587 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight HNSC, and GBM as cancer lineages where SERPINE1 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 SERPINE1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SERPINE1 survival associations across molecular data types. SERPINE1 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (7) and mass-spec protein abundance (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SERPINE1 RNA expression–survival associations across cancer types. High SERPINE1 expression shows unfavorable associations in HNSC, STAD, KIRP, MESO, LUSC and UVM. The HNSC 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 HNSC as the clearest survival context for SERPINE1 RNA expression.
This table summarizes SERPINE1 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 11. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for SERPINE1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SERPINE1 shows lower tumor expression in KICH and higher tumor expression in HNSC, COAD, STAD, KIRC and BRCA. The HNSC box plot shows higher SERPINE1 RNA expression in tumor versus normal tissue (log2 FC = +4.902, t-test p < 0.001).
This table shows molecular features associated with SERPINE1 in patient tissues and cancer cell lines. In patient samples, SERPINE1 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, SERPINE1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Lymphoma, while CRISPR and shRNA rows add functional-dependency signals in LIVER and BONE.
