Bet1 golgi vesicular membrane trafficking protein pseudogene 1Genealiases: []
Q-omics provides the consensus-scored BET1P1 profile across patient tissues and cancer cell-line models. BET1P1 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, BET1P1 is differentially expressed in 9, with the highest sampling consensus in KIRP. Additionally, BET1P1 RNA expression shows 11,515 significant gene co-expression associations, with the highest sampling consensus in DLBC. Together, these results highlight HNSC, KIRP, and DLBC as cancer lineages where BET1P1 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 BET1P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes BET1P1 survival associations across molecular data types. BET1P1 RNA expression shows survival associations in the most cancer types (20). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible BET1P1 RNA expression–survival associations across cancer types. High BET1P1 expression shows unfavorable associations in UVM, but favorable associations in HNSC, SKCM, LIHC, BLCA and CESC. The HNSC 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 HNSC as the clearest survival context for BET1P1 RNA expression.
This table summarizes BET1P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in KIRP for RNA.
This table ranks reproducible tumor–normal expression differences for BET1P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. BET1P1 shows lower tumor expression in KIRP, KICH, LUSC, LUAD, BRCA and UCEC. The KIRP box plot shows higher BET1P1 RNA expression in normal versus tumor tissue (log2 FC = −0.506, t-test p < 0.001).
This table shows molecular features associated with BET1P1 in patient tissues and cancer cell lines. In patient samples, BET1P1 shows the broadest associations at the RNA and protein expression levels, with DLBC recurring as the lineage with the largest associated feature set.
