Q-omics provides the consensus-scored PSMB6 profile across patient tissues and cancer cell-line models. PSMB6 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in LUAD. Among the 18 cancer types available for tumor–normal comparison, PSMB6 is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, PSMB6 RNA expression shows 19,688 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight LUAD, HNSC, and THYM as cancer lineages where PSMB6 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 PSMB6 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PSMB6 survival associations across molecular data types. PSMB6 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (2) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PSMB6 RNA expression–survival associations across cancer types. High PSMB6 expression shows unfavorable associations in LUAD, UVM, KICH, ACC, MESO and UCS. The LUAD 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 LUAD as the clearest survival context for PSMB6 RNA expression.
This table summarizes PSMB6 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 6. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for PSMB6. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PSMB6 shows lower tumor expression in KICH and higher tumor expression in HNSC, COAD, LUSC, LIHC and BLCA. The HNSC box plot shows higher PSMB6 RNA expression in tumor versus normal tissue (log2 FC = +0.436, t-test p < 0.001).
This table shows molecular features associated with PSMB6 in patient tissues and cancer cell lines. In patient samples, PSMB6 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, PSMB6 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LIVER, while CRISPR and shRNA rows add functional-dependency signals in KIDNEY and BLOOD_Leukemia.
