Q-omics provides the consensus-scored FILNC1 profile across patient tissues and cancer cell-line models. FILNC1 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in READ. Among the 18 cancer types available for tumor–normal comparison, FILNC1 is differentially expressed in 8, with the highest sampling consensus in THCA. Additionally, FILNC1 RNA expression shows 8,948 significant gene co-expression associations, with the highest sampling consensus in PAAD. Together, these results highlight READ, THCA, and PAAD as cancer lineages where FILNC1 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 FILNC1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes FILNC1 survival associations across molecular data types. FILNC1 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 FILNC1 RNA expression–survival associations across cancer types. High FILNC1 expression shows unfavorable associations in READ, LIHC, UCS, LAML and GBM, but favorable associations in SKCM. The READ Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify READ as the clearest survival context for FILNC1 RNA expression.
This table summarizes FILNC1 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 THCA for RNA.
This table ranks reproducible tumor–normal expression differences for FILNC1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. FILNC1 shows lower tumor expression in THCA, LUAD, KICH, BRCA, LUSC and COAD. The THCA box plot shows higher FILNC1 RNA expression in normal versus tumor tissue (log2 FC = −0.626, t-test p < 0.001).
This table shows molecular features associated with FILNC1 in patient tissues and cancer cell lines. In patient samples, FILNC1 shows the broadest associations at the RNA and protein expression levels, with PAAD recurring as the lineage with the largest associated feature set.
