serpin family B member 13Genealiases: HSHUR7SEQ · HUR7 · PI13 · headpin
Q-omics provides the consensus-scored SERPINB13 profile across patient tissues and cancer cell-line models. SERPINB13 expression is associated with patient survival in 15 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, SERPINB13 is differentially expressed in 6, with the highest sampling consensus in LUSC. Additionally, SERPINB13 RNA expression shows 8,335 significant gene co-expression associations, with the highest sampling consensus in ESCA. Together, these results highlight KICH, LUSC, and ESCA as cancer lineages where SERPINB13 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 SERPINB13 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SERPINB13 survival associations across molecular data types. SERPINB13 RNA expression shows survival associations in the most cancer types (15), followed by mutation status (7) and mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SERPINB13 RNA expression–survival associations across cancer types. High SERPINB13 expression shows unfavorable associations in KICH, KIRC, READ, ACC and SKCM, but favorable associations in LUSC. The KICH 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 KICH as the clearest survival context for SERPINB13 RNA expression.
This table summarizes SERPINB13 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6, while mass-spec protein shows differences in 2. The strongest signals are observed in LUSC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for SERPINB13. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SERPINB13 shows lower tumor expression in HNSC, BRCA and PRAD and higher tumor expression in LUSC, BLCA and KIRC. The LUSC box plot shows higher SERPINB13 RNA expression in tumor versus normal tissue (log2 FC = +5.334, t-test p < 0.001).
This table shows molecular features associated with SERPINB13 in patient tissues and cancer cell lines. In patient samples, SERPINB13 shows the broadest associations at the RNA and protein expression levels, with ESCA recurring as the lineage with the largest associated feature set. In cancer cell lines, SERPINB13 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 OESOPHAGUS and BONE.
