Q-omics provides the consensus-scored PSMA2P1 profile across patient tissues and cancer cell-line models. PSMA2P1 expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, PSMA2P1 is differentially expressed in 2, with the highest sampling consensus in KIRC. Additionally, PSMA2P1 RNA expression shows 12,793 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight UCEC, KIRC, and THYM as cancer lineages where PSMA2P1 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 PSMA2P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PSMA2P1 survival associations across molecular data types. PSMA2P1 RNA expression shows survival associations in the most cancer types (16). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PSMA2P1 RNA expression–survival associations across cancer types. High PSMA2P1 expression shows unfavorable associations in UCEC, TGCT, MESO, READ and COAD, but favorable associations in STAD. The UCEC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .004). Together, the overview and detailed table identify UCEC as the clearest survival context for PSMA2P1 RNA expression.
This table summarizes PSMA2P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 2. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for PSMA2P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PSMA2P1 shows lower tumor expression in THCA and higher tumor expression in KIRC. The KIRC box plot shows higher PSMA2P1 RNA expression in tumor versus normal tissue (log2 FC = +0.044, t-test p = .002).
This table shows molecular features associated with PSMA2P1 in patient tissues and cancer cell lines. In patient samples, PSMA2P1 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
