Q-omics provides the consensus-scored WASH4P profile across patient tissues and cancer cell-line models. WASH4P expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, WASH4P is differentially expressed in 7, with the highest sampling consensus in LIHC. Additionally, WASH4P RNA expression shows 16,800 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight LIHC, and THYM as cancer lineages where WASH4P 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 WASH4P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes WASH4P survival associations across molecular data types. WASH4P 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 WASH4P RNA expression–survival associations across cancer types. High WASH4P expression shows unfavorable associations in LIHC, KIRC, UCEC, COAD and ACC, but favorable associations in BLCA. The LIHC 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 LIHC as the clearest survival context for WASH4P RNA expression.
This table summarizes WASH4P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in LIHC for RNA.
This table ranks reproducible tumor–normal expression differences for WASH4P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. WASH4P shows higher tumor expression in LIHC, HNSC, CHOL, BLCA, ESCA and LUSC. The LIHC box plot shows higher WASH4P RNA expression in tumor versus normal tissue (log2 FC = +0.702, t-test p < 0.001).
This table shows molecular features associated with WASH4P in patient tissues and cancer cell lines. In patient samples, WASH4P shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, WASH4P RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE, while CRISPR and shRNA rows add functional-dependency signals in PANCREAS.
