Q-omics provides the consensus-scored SOX1-OT profile across patient tissues and cancer cell-line models. SOX1-OT expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, SOX1-OT is differentially expressed in 7, with the highest sampling consensus in THCA. Additionally, SOX1-OT RNA expression shows 9,945 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight UVM, THCA, and GBM as cancer lineages where SOX1-OT 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 SOX1-OT — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SOX1-OT survival associations across molecular data types. SOX1-OT 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 SOX1-OT RNA expression–survival associations across cancer types. High SOX1-OT expression shows unfavorable associations in UVM, KICH, ACC, BRCA, THCA and ESCA. 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 SOX1-OT RNA expression.
This table summarizes SOX1-OT tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for SOX1-OT. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SOX1-OT shows lower tumor expression in THCA, COAD, BRCA, READ and STAD and higher tumor expression in LUSC. The THCA box plot shows higher SOX1-OT RNA expression in normal versus tumor tissue (log2 FC = −0.019, t-test p = .003).
This table shows molecular features associated with SOX1-OT in patient tissues and cancer cell lines. In patient samples, SOX1-OT shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
