Q-omics provides the consensus-scored LGMNP1 profile across patient tissues and cancer cell-line models. LGMNP1 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, LGMNP1 is differentially expressed in 11, with the highest sampling consensus in THCA. Additionally, LGMNP1 RNA expression shows 16,467 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, THCA, and ACC as cancer lineages where LGMNP1 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 LGMNP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes LGMNP1 survival associations across molecular data types. LGMNP1 RNA expression shows survival associations in the most cancer types (21). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible LGMNP1 RNA expression–survival associations across cancer types. High LGMNP1 expression shows unfavorable associations in UVM, STAD and OV, but favorable associations in KIRC, SKCM 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 LGMNP1 RNA expression.
This table summarizes LGMNP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for LGMNP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. LGMNP1 shows lower tumor expression in THCA, LUSC and BRCA and higher tumor expression in KICH, UCEC and COAD. The THCA box plot shows higher LGMNP1 RNA expression in normal versus tumor tissue (log2 FC = −0.836, t-test p < 0.001).
This table shows molecular features associated with LGMNP1 in patient tissues and cancer cell lines. In patient samples, LGMNP1 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
