Q-omics provides the consensus-scored MCOLN1 profile across patient tissues and cancer cell-line models. MCOLN1 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, MCOLN1 is differentially expressed in 11, with the highest sampling consensus in HNSC. Additionally, MCOLN1 RNA expression shows 18,200 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight UVM, HNSC, and ACC as cancer lineages where MCOLN1 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 MCOLN1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MCOLN1 survival associations across molecular data types. MCOLN1 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (9) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MCOLN1 RNA expression–survival associations across cancer types. High MCOLN1 expression shows unfavorable associations in UVM, LGG and LUSC, but favorable associations in PAAD, CESC and KIRC. The UVM 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 UVM as the clearest survival context for MCOLN1 RNA expression.
This table summarizes MCOLN1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 2. The strongest signals are observed in KIRC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for MCOLN1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MCOLN1 shows lower tumor expression in LUAD and LUSC and higher tumor expression in HNSC, KIRC, LIHC and KIRP. The HNSC box plot shows higher MCOLN1 RNA expression in tumor versus normal tissue (log2 FC = +0.751, t-test p < 0.001).
This table shows molecular features associated with MCOLN1 in patient tissues and cancer cell lines. In patient samples, MCOLN1 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, MCOLN1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUAD and LARGE_INTESTINE.
