Q-omics provides the consensus-scored FIBCD1 profile across patient tissues and cancer cell-line models. FIBCD1 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, FIBCD1 is differentially expressed in 16, with the highest sampling consensus in HNSC. Additionally, FIBCD1 protein abundance shows 20,494 significant protein co-abundance associations, with the highest sampling consensus in BRCA. Together, these results highlight UVM, HNSC, and BRCA as cancer lineages where FIBCD1 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 FIBCD1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes FIBCD1 survival associations across molecular data types. FIBCD1 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (5) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible FIBCD1 RNA expression–survival associations across cancer types. High FIBCD1 expression shows unfavorable associations in UVM, LUAD, MESO, BRCA and LIHC, but favorable associations in THCA. The UVM 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 UVM as the clearest survival context for FIBCD1 RNA expression.
This table summarizes FIBCD1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16, while mass-spec protein shows differences in 5. The strongest signals are observed in HNSC for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for FIBCD1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. FIBCD1 shows higher tumor expression in HNSC, THCA, COAD, KIRC, LIHC and BRCA. The HNSC box plot shows higher FIBCD1 RNA expression in tumor versus normal tissue (log2 FC = +1.240, t-test p < 0.001).
This table shows molecular features associated with FIBCD1 in patient tissues and cancer cell lines. In patient samples, FIBCD1 shows the broadest associations at the RNA and protein expression levels, with BRCA recurring as the lineage with the largest associated feature set. In cancer cell lines, FIBCD1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in OVARY and BONE.
