Q-omics provides the consensus-scored PWWP3B profile across patient tissues and cancer cell-line models. PWWP3B expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, PWWP3B is differentially expressed in 11, with the highest sampling consensus in THCA. Additionally, PWWP3B RNA expression shows 19,743 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRC, THCA, and GBM as cancer lineages where PWWP3B 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 PWWP3B — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PWWP3B survival associations across molecular data types. PWWP3B RNA expression shows survival associations in the most cancer types (24), followed by mutation status (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PWWP3B RNA expression–survival associations across cancer types. High PWWP3B expression shows unfavorable associations in STAD, HNSC and UVM, but favorable associations in KIRC, UCS and LGG. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for PWWP3B RNA expression.
This table summarizes PWWP3B 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 THCA for RNA.
This table ranks reproducible tumor–normal expression differences for PWWP3B. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PWWP3B shows lower tumor expression in THCA, UCEC, KICH, STAD and LIHC and higher tumor expression in BLCA. The THCA box plot shows higher PWWP3B RNA expression in normal versus tumor tissue (log2 FC = −4.596, t-test p < 0.001).
This table shows molecular features associated with PWWP3B in patient tissues and cancer cell lines. In patient samples, PWWP3B shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, PWWP3B RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in OESOPHAGUS and SOFT_TISSUE.
