Q-omics provides the consensus-scored TOPORS profile across patient tissues and cancer cell-line models. TOPORS expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, TOPORS is differentially expressed in 11, with the highest sampling consensus in THCA. Additionally, TOPORS RNA expression shows 20,436 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, THCA, and UVM as cancer lineages where TOPORS 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 TOPORS — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TOPORS survival associations across molecular data types. TOPORS RNA expression shows survival associations in the most cancer types (23), followed by mutation status (10) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible TOPORS RNA expression–survival associations across cancer types. High TOPORS expression shows unfavorable associations in ACC, UVM, MESO and KIRP, but favorable associations in KIRC and LGG. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for TOPORS RNA expression.
This table summarizes TOPORS tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 3. The strongest signals are observed in THCA for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for TOPORS. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TOPORS shows lower tumor expression in THCA, KICH, KIRC, UCEC and BRCA and higher tumor expression in HNSC. The THCA box plot shows higher TOPORS RNA expression in normal versus tumor tissue (log2 FC = −0.682, t-test p < 0.001).
This table shows molecular features associated with TOPORS in patient tissues and cancer cell lines. In patient samples, TOPORS 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, TOPORS RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUSC, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and BLOOD_Leukemia.
