Q-omics provides the consensus-scored PSLNR profile across patient tissues and cancer cell-line models. PSLNR expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, PSLNR is differentially expressed in 9, with the highest sampling consensus in UCEC. Additionally, PSLNR RNA expression shows 7,014 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight UCEC, and TGCT as cancer lineages where PSLNR 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 PSLNR — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PSLNR survival associations across molecular data types. PSLNR RNA expression shows survival associations in the most cancer types (21). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PSLNR RNA expression–survival associations across cancer types. High PSLNR expression shows unfavorable associations in UCEC, KICH, STAD, KIRP, ACC and COAD. The UCEC 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 UCEC as the clearest survival context for PSLNR RNA expression.
This table summarizes PSLNR 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 UCEC for RNA.
This table ranks reproducible tumor–normal expression differences for PSLNR. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PSLNR shows higher tumor expression in UCEC, LUSC, LUAD, BRCA, HNSC and LIHC. The UCEC box plot shows higher PSLNR RNA expression in tumor versus normal tissue (log2 FC = +1.080, t-test p = .005).
This table shows molecular features associated with PSLNR in patient tissues and cancer cell lines. In patient samples, PSLNR shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set.
