Q-omics provides the consensus-scored FCF1P1 profile across patient tissues and cancer cell-line models. FCF1P1 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, FCF1P1 is differentially expressed in 8, with the highest sampling consensus in KICH. Additionally, FCF1P1 RNA expression shows 14,249 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight HNSC, KICH, and TGCT as cancer lineages where FCF1P1 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 FCF1P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes FCF1P1 survival associations across molecular data types. FCF1P1 RNA expression shows survival associations in the most cancer types (17). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible FCF1P1 RNA expression–survival associations across cancer types. High FCF1P1 expression shows unfavorable associations in KICH, THCA, THYM and CESC, but favorable associations in HNSC and LAML. The HNSC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .002). Together, the overview and detailed table identify HNSC as the clearest survival context for FCF1P1 RNA expression.
This table summarizes FCF1P1 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 KICH for RNA.
This table ranks reproducible tumor–normal expression differences for FCF1P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. FCF1P1 shows lower tumor expression in THCA and READ and higher tumor expression in KICH, COAD, KIRP and KIRC. The KICH box plot shows higher FCF1P1 RNA expression in tumor versus normal tissue (log2 FC = +0.221, t-test p = .001).
This table shows molecular features associated with FCF1P1 in patient tissues and cancer cell lines. In patient samples, FCF1P1 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set.
