Q-omics provides the consensus-scored PWWP3A profile across patient tissues and cancer cell-line models. PWWP3A expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, PWWP3A is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, PWWP3A RNA expression shows 19,778 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, HNSC, and ACC as cancer lineages where PWWP3A 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 PWWP3A — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PWWP3A survival associations across molecular data types. PWWP3A RNA expression shows survival associations in the most cancer types (28), followed by mutation status (8) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PWWP3A RNA expression–survival associations across cancer types. High PWWP3A expression shows unfavorable associations in KIRC and ACC, but favorable associations in UCEC, HNSC, PAAD and THYM. The KIRC 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 KIRC as the clearest survival context for PWWP3A RNA expression.
This table summarizes PWWP3A 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 5. The strongest signals are observed in HNSC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for PWWP3A. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PWWP3A shows lower tumor expression in THCA and UCEC and higher tumor expression in HNSC, COAD, LIHC and KIRC. The HNSC box plot shows higher PWWP3A RNA expression in tumor versus normal tissue (log2 FC = +0.455, t-test p < 0.001).
This table shows molecular features associated with PWWP3A in patient tissues and cancer cell lines. In patient samples, PWWP3A shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, PWWP3A RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUAD and LARGE_INTESTINE.
