Q-omics provides the consensus-scored PBXIP1 profile across patient tissues and cancer cell-line models. PBXIP1 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, PBXIP1 is differentially expressed in 13, with the highest sampling consensus in KICH. Additionally, PBXIP1 RNA expression shows 19,234 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, KICH, and ACC as cancer lineages where PBXIP1 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 PBXIP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PBXIP1 survival associations across molecular data types. PBXIP1 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (3) 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 PBXIP1 RNA expression–survival associations across cancer types. High PBXIP1 expression shows unfavorable associations in LGG, but favorable associations in KIRC, UVM, PAAD, LUAD 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 PBXIP1 RNA expression.
This table summarizes PBXIP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 5. The strongest signals are observed in KICH for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for PBXIP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PBXIP1 shows lower tumor expression in KICH, BLCA, COAD, UCEC and LUSC and higher tumor expression in LIHC. The KICH box plot shows higher PBXIP1 RNA expression in normal versus tumor tissue (log2 FC = −1.547, t-test p < 0.001).
This table shows molecular features associated with PBXIP1 in patient tissues and cancer cell lines. In patient samples, PBXIP1 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, PBXIP1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and BONE.
