Q-omics provides the consensus-scored YWHAQP1 profile across patient tissues and cancer cell-line models. YWHAQP1 expression is associated with patient survival in 12 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, YWHAQP1 is differentially expressed in 2, with the highest sampling consensus in BRCA. Additionally, YWHAQP1 RNA expression shows 6,454 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight LIHC, BRCA, and STAD as cancer lineages where YWHAQP1 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 YWHAQP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes YWHAQP1 survival associations across molecular data types. YWHAQP1 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 YWHAQP1 RNA expression–survival associations across cancer types. High YWHAQP1 expression shows unfavorable associations in LIHC, KICH, THYM and BRCA, but favorable associations in LUAD and ESCA. 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 YWHAQP1 RNA expression.
This table summarizes YWHAQP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 2. The strongest signals are observed in BRCA for RNA.
This table ranks reproducible tumor–normal expression differences for YWHAQP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. YWHAQP1 shows higher tumor expression in BRCA and LUSC. The BRCA box plot shows higher YWHAQP1 RNA expression in tumor versus normal tissue (log2 FC = +0.025, t-test p = .009).
This table shows molecular features associated with YWHAQP1 in patient tissues and cancer cell lines. In patient samples, YWHAQP1 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
