Q-omics provides the consensus-scored PICSAR profile across patient tissues and cancer cell-line models. PICSAR expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, PICSAR is differentially expressed in 11, with the highest sampling consensus in HNSC. Additionally, PICSAR RNA expression shows 8,211 significant protein co-abundance associations, with the highest sampling consensus in BRCA. Together, these results highlight KIRP, HNSC, and BRCA as cancer lineages where PICSAR 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 PICSAR — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PICSAR survival associations across molecular data types. PICSAR RNA expression shows survival associations in the most cancer types (24). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PICSAR RNA expression–survival associations across cancer types. High PICSAR expression shows unfavorable associations in KIRP, LIHC, LUAD, MESO, GBM and COAD. The KIRP Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify KIRP as the clearest survival context for PICSAR RNA expression.
This table summarizes PICSAR tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for PICSAR. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PICSAR shows lower tumor expression in LUAD, BRCA and LUSC and higher tumor expression in HNSC, KIRC and THCA. The HNSC box plot shows higher PICSAR RNA expression in tumor versus normal tissue (log2 FC = +1.765, t-test p < 0.001).
This table shows molecular features associated with PICSAR in patient tissues and cancer cell lines. In patient samples, PICSAR shows the broadest associations at the RNA and protein expression levels, with BRCA recurring as the lineage with the largest associated feature set.
