Q-omics provides the consensus-scored OGFOD1 profile across patient tissues and cancer cell-line models. OGFOD1 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, OGFOD1 is differentially expressed in 15, with the highest sampling consensus in HNSC. Additionally, OGFOD1 protein abundance shows 22,591 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight HNSC, and LSCC as cancer lineages where OGFOD1 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 OGFOD1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OGFOD1 survival associations across molecular data types. OGFOD1 RNA expression shows survival associations in the most cancer types (23), 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 OGFOD1 RNA expression–survival associations across cancer types. High OGFOD1 expression shows unfavorable associations in HNSC, LIHC, BLCA, ACC, LGG and KIRP. The HNSC 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 HNSC as the clearest survival context for OGFOD1 RNA expression.
This table summarizes OGFOD1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15, while mass-spec protein shows differences in 4. The strongest signals are observed in HNSC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for OGFOD1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. OGFOD1 shows higher tumor expression in HNSC, COAD, BLCA, LIHC, LUAD and STAD. The HNSC box plot shows higher OGFOD1 RNA expression in tumor versus normal tissue (log2 FC = +0.578, t-test p < 0.001).
This table shows molecular features associated with OGFOD1 in patient tissues and cancer cell lines. In patient samples, OGFOD1 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, OGFOD1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in URINARY_TRACT, while CRISPR and shRNA rows add functional-dependency signals in OVARY and LARGE_INTESTINE.
