Q-omics provides the consensus-scored MLNR profile across patient tissues and cancer cell-line models. MLNR expression is associated with patient survival in 18 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, MLNR is differentially expressed in 12, with the highest sampling consensus in THCA. Additionally, MLNR RNA expression shows 16,897 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight KIRC, THCA, and TGCT as cancer lineages where MLNR 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 MLNR — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MLNR survival associations across molecular data types. MLNR RNA expression shows survival associations in the most cancer types (18), followed by mutation status (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MLNR RNA expression–survival associations across cancer types. High MLNR expression shows unfavorable associations in CHOL, ACC and ESCA, but favorable associations in KIRC, SCLC and UCEC. 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 MLNR RNA expression.
This table summarizes MLNR tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for MLNR. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MLNR shows lower tumor expression in THCA, KICH, KIRC and STAD and higher tumor expression in HNSC and LIHC. The THCA box plot shows higher MLNR RNA expression in normal versus tumor tissue (log2 FC = −1.260, t-test p < 0.001).
This table shows molecular features associated with MLNR in patient tissues and cancer cell lines. In patient samples, MLNR shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, MLNR 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 BLOOD_Leukemia and BLOOD_Lymphoma.
