Q-omics provides the consensus-scored FBXW4P1 profile across patient tissues and cancer cell-line models. FBXW4P1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, FBXW4P1 is differentially expressed in 12, with the highest sampling consensus in HNSC. Additionally, FBXW4P1 RNA expression shows 16,944 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, HNSC, and ACC as cancer lineages where FBXW4P1 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 FBXW4P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes FBXW4P1 survival associations across molecular data types. FBXW4P1 RNA expression shows survival associations in the most cancer types (22). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible FBXW4P1 RNA expression–survival associations across cancer types. High FBXW4P1 expression shows unfavorable associations in KIRC, UVM, ACC, COAD and THCA, but favorable associations in STAD. The KIRC 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 KIRC as the clearest survival context for FBXW4P1 RNA expression.
This table summarizes FBXW4P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for FBXW4P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. FBXW4P1 shows lower tumor expression in KIRC and higher tumor expression in HNSC, STAD, THCA, LUAD and LUSC. The HNSC box plot shows higher FBXW4P1 RNA expression in tumor versus normal tissue (log2 FC = +0.497, t-test p < 0.001).
This table shows molecular features associated with FBXW4P1 in patient tissues and cancer cell lines. In patient samples, FBXW4P1 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, FBXW4P1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST, while CRISPR and shRNA rows add functional-dependency signals in NCI60_ALL.
