Q-omics provides the consensus-scored ODF3 profile across patient tissues and cancer cell-line models. ODF3 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in UCS. Among the 18 cancer types available for tumor–normal comparison, ODF3 is differentially expressed in 2, with the highest sampling consensus in KIRC. Additionally, ODF3 RNA expression shows 9,048 significant gene co-expression associations, with the highest sampling consensus in ESCA. Together, these results highlight UCS, KIRC, and ESCA as cancer lineages where ODF3 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 ODF3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ODF3 survival associations across molecular data types. ODF3 RNA expression shows survival associations in the most cancer types (17), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ODF3 RNA expression–survival associations across cancer types. High ODF3 expression shows unfavorable associations in HNSC, LIHC, KICH and LUSC, but favorable associations in UCS and TGCT. The UCS Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .004). Together, the overview and detailed table identify UCS as the clearest survival context for ODF3 RNA expression.
This table summarizes ODF3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 2. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for ODF3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ODF3 shows higher tumor expression in KIRC and KICH. The KIRC box plot shows higher ODF3 RNA expression in tumor versus normal tissue (log2 FC = +0.013, t-test p < 0.001).
This table shows molecular features associated with ODF3 in patient tissues and cancer cell lines. In patient samples, ODF3 shows the broadest associations at the RNA and protein expression levels, with ESCA recurring as the lineage with the largest associated feature set. In cancer cell lines, ODF3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OESOPHAGUS, while CRISPR and shRNA rows add functional-dependency signals in LUNG_SCLC and BLOOD_Lymphoma.
