Q-omics provides the consensus-scored MCOLN3 profile across patient tissues and cancer cell-line models. MCOLN3 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in COAD. Among the 18 cancer types available for tumor–normal comparison, MCOLN3 is differentially expressed in 10, with the highest sampling consensus in KIRC. Additionally, MCOLN3 RNA expression shows 16,138 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight COAD, KIRC, and UVM as cancer lineages where MCOLN3 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 MCOLN3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MCOLN3 survival associations across molecular data types. MCOLN3 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MCOLN3 RNA expression–survival associations across cancer types. High MCOLN3 expression shows unfavorable associations in COAD, UCEC, LGG and KIRP, but favorable associations in PAAD and BRCA. The COAD 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 COAD as the clearest survival context for MCOLN3 RNA expression.
This table summarizes MCOLN3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for MCOLN3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MCOLN3 shows lower tumor expression in KIRC, KIRP, LUAD, BRCA and LUSC and higher tumor expression in HNSC. The KIRC box plot shows higher MCOLN3 RNA expression in normal versus tumor tissue (log2 FC = −1.820, t-test p < 0.001).
This table shows molecular features associated with MCOLN3 in patient tissues and cancer cell lines. In patient samples, MCOLN3 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, MCOLN3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in BREAST and SOFT_TISSUE.
