Q-omics provides the consensus-scored MILR1 profile across patient tissues and cancer cell-line models. MILR1 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in SKCM. Among the 18 cancer types available for tumor–normal comparison, MILR1 is differentially expressed in 11, with the highest sampling consensus in KIRC. Additionally, MILR1 RNA expression shows 22,050 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight SKCM, KIRC, and LSCC as cancer lineages where MILR1 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 MILR1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MILR1 survival associations across molecular data types. MILR1 RNA expression shows survival associations in the most cancer types (21), followed by mutation status (1) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MILR1 RNA expression–survival associations across cancer types. High MILR1 expression shows unfavorable associations in UVM, LGG and KIRC, but favorable associations in SKCM, HNSC and CHOL. The SKCM 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 SKCM as the clearest survival context for MILR1 RNA expression.
This table summarizes MILR1 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 4. The strongest signals are observed in KIRC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for MILR1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MILR1 shows lower tumor expression in COAD and LUSC and higher tumor expression in KIRC, THCA, KIRP and STAD. The KIRC box plot shows higher MILR1 RNA expression in tumor versus normal tissue (log2 FC = +1.875, t-test p < 0.001).
This table shows molecular features associated with MILR1 in patient tissues and cancer cell lines. In patient samples, MILR1 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, MILR1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Lymphoma, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and OVARY.
