Q-omics provides the consensus-scored MRTO4 profile across patient tissues and cancer cell-line models. MRTO4 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, MRTO4 is differentially expressed in 16, with the highest sampling consensus in KIRC. Additionally, MRTO4 protein abundance shows 39,948 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight ACC, KIRC, and GBM as cancer lineages where MRTO4 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 MRTO4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MRTO4 survival associations across molecular data types. MRTO4 RNA expression shows survival associations in the most cancer types (26), 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 MRTO4 RNA expression–survival associations across cancer types. High MRTO4 expression shows unfavorable associations in ACC, LIHC, KIRP, BLCA, KICH 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 MRTO4 RNA expression.
This table summarizes MRTO4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16, while mass-spec protein shows differences in 13. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for MRTO4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MRTO4 shows higher tumor expression in KIRC, COAD, BLCA, LUAD, HNSC and STAD. The KIRC box plot shows higher MRTO4 RNA expression in tumor versus normal tissue (log2 FC = +0.816, t-test p < 0.001).
This table shows molecular features associated with MRTO4 in patient tissues and cancer cell lines. In patient samples, MRTO4 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, MRTO4 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.
