Q-omics provides the consensus-scored YWHAQP6 profile across patient tissues and cancer cell-line models. YWHAQP6 expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, YWHAQP6 is differentially expressed in 8, with the highest sampling consensus in HNSC. Additionally, YWHAQP6 RNA expression shows 13,886 significant gene co-expression associations, with the highest sampling consensus in DLBC. Together, these results highlight KIRP, HNSC, and DLBC as cancer lineages where YWHAQP6 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 YWHAQP6 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes YWHAQP6 survival associations across molecular data types. YWHAQP6 RNA expression shows survival associations in the most cancer types (16). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible YWHAQP6 RNA expression–survival associations across cancer types. High YWHAQP6 expression shows unfavorable associations in KIRP, KICH, LGG and THCA, but favorable associations in KIRC and LUAD. The KIRP 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 KIRP as the clearest survival context for YWHAQP6 RNA expression.
This table summarizes YWHAQP6 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for YWHAQP6. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. YWHAQP6 shows lower tumor expression in BRCA and higher tumor expression in HNSC, COAD, UCEC, STAD and PAAD. The HNSC box plot shows higher YWHAQP6 RNA expression in tumor versus normal tissue (log2 FC = +0.170, t-test p < 0.001).
This table shows molecular features associated with YWHAQP6 in patient tissues and cancer cell lines. In patient samples, YWHAQP6 shows the broadest associations at the RNA and protein expression levels, with DLBC recurring as the lineage with the largest associated feature set.
