Q-omics provides the consensus-scored MOB1A profile across patient tissues and cancer cell-line models. MOB1A expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, MOB1A is differentially expressed in 11, with the highest sampling consensus in HNSC. Additionally, MOB1A RNA expression shows 19,777 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and HNSC as cancer lineages where MOB1A 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 MOB1A — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MOB1A survival associations across molecular data types. MOB1A RNA expression shows survival associations in the most cancer types (25), followed by mutation status (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MOB1A RNA expression–survival associations across cancer types. High MOB1A expression shows unfavorable associations in ACC, LGG, LIHC and MESO, but favorable associations in SKCM and KIRC. The ACC 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 ACC as the clearest survival context for MOB1A RNA expression.
This table summarizes MOB1A tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for MOB1A. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MOB1A shows lower tumor expression in KICH and higher tumor expression in HNSC, BLCA, LIHC, STAD and LUSC. The HNSC box plot shows higher MOB1A RNA expression in tumor versus normal tissue (log2 FC = +1.024, t-test p < 0.001).
This table shows molecular features associated with MOB1A in patient tissues and cancer cell lines. In patient samples, MOB1A shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, MOB1A RNA and mutation anchors are most strongly linked to RNA-expression features, especially in URINARY_TRACT, while CRISPR and shRNA rows add functional-dependency signals in CNS and BLOOD_Leukemia.
