Q-omics provides the consensus-scored YWHAQP8 profile across patient tissues and cancer cell-line models. YWHAQP8 expression is associated with patient survival in 12 of 34 cancer types, with the highest sampling consensus in BLCA. Among the 18 cancer types available for tumor–normal comparison, YWHAQP8 is differentially expressed in 4, with the highest sampling consensus in BRCA. Additionally, YWHAQP8 RNA expression shows 5,692 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight BLCA, BRCA, and STAD as cancer lineages where YWHAQP8 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 YWHAQP8 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes YWHAQP8 survival associations across molecular data types. YWHAQP8 RNA expression shows survival associations in the most cancer types (12). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible YWHAQP8 RNA expression–survival associations across cancer types. High YWHAQP8 expression shows unfavorable associations in BLCA, THYM, LUSC, MESO, PAAD and LIHC. The BLCA 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 BLCA as the clearest survival context for YWHAQP8 RNA expression.
This table summarizes YWHAQP8 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 4. The strongest signals are observed in BRCA for RNA.
This table ranks reproducible tumor–normal expression differences for YWHAQP8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. YWHAQP8 shows lower tumor expression in BRCA, THCA and KICH and higher tumor expression in LUAD. The BRCA box plot shows higher YWHAQP8 RNA expression in normal versus tumor tissue (log2 FC = −0.345, t-test p = .001).
This table shows molecular features associated with YWHAQP8 in patient tissues and cancer cell lines. In patient samples, YWHAQP8 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
