Q-omics provides the consensus-scored WASH2P profile across patient tissues and cancer cell-line models. WASH2P expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, WASH2P is differentially expressed in 9, with the highest sampling consensus in LIHC. Additionally, WASH2P RNA expression shows 18,355 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and LIHC as cancer lineages where WASH2P 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 WASH2P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes WASH2P survival associations across molecular data types. WASH2P RNA expression shows survival associations in the most cancer types (28). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible WASH2P RNA expression–survival associations across cancer types. High WASH2P expression shows unfavorable associations in ACC, COAD and STAD, but favorable associations in BLCA, PAAD and HNSC. The ACC 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 ACC as the clearest survival context for WASH2P RNA expression.
This table summarizes WASH2P 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 LIHC for RNA.
This table ranks reproducible tumor–normal expression differences for WASH2P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. WASH2P shows lower tumor expression in BRCA, UCEC, KICH and LUAD and higher tumor expression in LIHC and CHOL. The LIHC box plot shows higher WASH2P RNA expression in tumor versus normal tissue (log2 FC = +0.720, t-test p < 0.001).
This table shows molecular features associated with WASH2P in patient tissues and cancer cell lines. In patient samples, WASH2P 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, WASH2P 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 BREAST.
