Q-omics provides the consensus-scored ODF3L1 profile across patient tissues and cancer cell-line models. ODF3L1 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, ODF3L1 is differentially expressed in 15, with the highest sampling consensus in BLCA. Additionally, ODF3L1 RNA expression shows 12,325 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight UVM, BLCA, and TGCT as cancer lineages where ODF3L1 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 ODF3L1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ODF3L1 survival associations across molecular data types. ODF3L1 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ODF3L1 RNA expression–survival associations across cancer types. High ODF3L1 expression shows unfavorable associations in UVM, LGG, ACC, THCA and LAML, but favorable associations in UCS. 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 ODF3L1 RNA expression.
This table summarizes ODF3L1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15. The strongest signals are observed in BLCA for RNA.
This table ranks reproducible tumor–normal expression differences for ODF3L1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ODF3L1 shows lower tumor expression in BLCA, LUAD, LUSC, THCA and UCEC and higher tumor expression in HNSC. The BLCA box plot shows higher ODF3L1 RNA expression in normal versus tumor tissue (log2 FC = −2.347, t-test p < 0.001).
This table shows molecular features associated with ODF3L1 in patient tissues and cancer cell lines. In patient samples, ODF3L1 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, ODF3L1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and BLOOD_Lymphoma.
