Q-omics provides the consensus-scored OFCC1 profile across patient tissues and cancer cell-line models. OFCC1 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, OFCC1 is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, OFCC1 RNA expression shows 11,755 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, HNSC, and UVM as cancer lineages where OFCC1 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 OFCC1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OFCC1 survival associations across molecular data types. OFCC1 RNA expression shows survival associations in the most cancer types (19), followed by mutation status (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible OFCC1 RNA expression–survival associations across cancer types. High OFCC1 expression shows unfavorable associations in KIRC, SKCM, LIHC, COAD, DLBC and KIRP. 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 OFCC1 RNA expression.
This table summarizes OFCC1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for OFCC1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. OFCC1 shows lower tumor expression in KICH and higher tumor expression in HNSC, COAD, LUSC, BLCA and LUAD. The HNSC box plot shows higher OFCC1 RNA expression in tumor versus normal tissue (log2 FC = +0.362, t-test p < 0.001).
This table shows molecular features associated with OFCC1 in patient tissues and cancer cell lines. In patient samples, OFCC1 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, OFCC1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and LUNG_NSCLC_LUAD.
