Q-omics provides the consensus-scored PSME2P5 profile across patient tissues and cancer cell-line models. PSME2P5 expression is associated with patient survival in 18 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, PSME2P5 is differentially expressed in 8, with the highest sampling consensus in KIRC. Additionally, PSME2P5 RNA expression shows 11,202 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KICH, KIRC, and GBM as cancer lineages where PSME2P5 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 PSME2P5 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PSME2P5 survival associations across molecular data types. PSME2P5 RNA expression shows survival associations in the most cancer types (18). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PSME2P5 RNA expression–survival associations across cancer types. High PSME2P5 expression shows unfavorable associations in KICH, ACC, STAD, KIRC and ESCA, but favorable associations in SKCM. 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 PSME2P5 RNA expression.
This table summarizes PSME2P5 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for PSME2P5. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PSME2P5 shows lower tumor expression in LUSC and higher tumor expression in KIRC, COAD, KIRP, HNSC and STAD. The KIRC box plot shows higher PSME2P5 RNA expression in tumor versus normal tissue (log2 FC = +0.166, t-test p < 0.001).
This table shows molecular features associated with PSME2P5 in patient tissues and cancer cell lines. In patient samples, PSME2P5 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
