Q-omics provides the consensus-scored NUMBL profile across patient tissues and cancer cell-line models. NUMBL expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, NUMBL is differentially expressed in 13, with the highest sampling consensus in KIRP. Additionally, NUMBL protein abundance shows 39,790 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRC, KIRP, and GBM as cancer lineages where NUMBL 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 NUMBL — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NUMBL survival associations across molecular data types. NUMBL RNA expression shows survival associations in the most cancer types (24), followed by mutation status (3) and mass-spec protein abundance (11). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NUMBL RNA expression–survival associations across cancer types. High NUMBL expression shows unfavorable associations in KIRC, KIRP, ACC, BLCA, OV and UVM. The KIRC 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 KIRC as the clearest survival context for NUMBL RNA expression.
This table summarizes NUMBL tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 10. The strongest signals are observed in LUAD for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for NUMBL. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NUMBL shows lower tumor expression in KICH and higher tumor expression in KIRP, HNSC, LUAD, KIRC and LIHC. The KIRP box plot shows higher NUMBL RNA expression in tumor versus normal tissue (log2 FC = +1.336, t-test p < 0.001).
This table shows molecular features associated with NUMBL in patient tissues and cancer cell lines. In patient samples, NUMBL shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, NUMBL RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in OVARY and LARGE_INTESTINE.
