Q-omics provides the consensus-scored F8 profile across patient tissues and cancer cell-line models. F8 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, F8 is differentially expressed in 13, with the highest sampling consensus in KICH. Additionally, F8 RNA expression shows 19,165 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, KICH, and UVM as cancer lineages where F8 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 F8 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes F8 survival associations across molecular data types. F8 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (12) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible F8 RNA expression–survival associations across cancer types. High F8 expression shows unfavorable associations in UCEC, but favorable associations in KIRC, CESC, SKCM, PAAD and ACC. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for F8 RNA expression.
This table summarizes F8 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 3. The strongest signals are observed in THCA for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for F8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. F8 shows lower tumor expression in KICH, THCA, LUSC, LUAD, COAD and BLCA. The KICH box plot shows higher F8 RNA expression in normal versus tumor tissue (log2 FC = −1.769, t-test p < 0.001).
This table shows molecular features associated with F8 in patient tissues and cancer cell lines. In patient samples, F8 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, F8 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Myeloma, while CRISPR and shRNA rows add functional-dependency signals in BREAST and BLOOD_Lymphoma.
