SERPINE1 mRNA binding protein 1 pseudogene 6Genealiases: []
Q-omics provides the consensus-scored SERBP1P6 profile across patient tissues and cancer cell-line models. SERBP1P6 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in LGG. Among the 18 cancer types available for tumor–normal comparison, SERBP1P6 is differentially expressed in 10, with the highest sampling consensus in COAD. Additionally, SERBP1P6 RNA expression shows 13,404 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight LGG, COAD, and THYM as cancer lineages where SERBP1P6 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 SERBP1P6 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SERBP1P6 survival associations across molecular data types. SERBP1P6 RNA expression shows survival associations in the most cancer types (25). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SERBP1P6 RNA expression–survival associations across cancer types. High SERBP1P6 expression shows unfavorable associations in LGG, HNSC, COAD and CHOL, but favorable associations in CESC and KIRC. The LGG 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 LGG as the clearest survival context for SERBP1P6 RNA expression.
This table summarizes SERBP1P6 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for SERBP1P6. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SERBP1P6 shows lower tumor expression in LUAD, KICH and KIRC and higher tumor expression in COAD, HNSC and READ. The COAD box plot shows higher SERBP1P6 RNA expression in tumor versus normal tissue (log2 FC = +0.289, t-test p < 0.001).
This table shows molecular features associated with SERBP1P6 in patient tissues and cancer cell lines. In patient samples, SERBP1P6 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
