Q-omics provides the consensus-scored LYPLAL1 profile across patient tissues and cancer cell-line models. LYPLAL1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, LYPLAL1 is differentially expressed in 14, with the highest sampling consensus in KIRC. Additionally, LYPLAL1 RNA expression shows 18,710 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, and UVM as cancer lineages where LYPLAL1 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 LYPLAL1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes LYPLAL1 survival associations across molecular data types. LYPLAL1 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (4) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible LYPLAL1 RNA expression–survival associations across cancer types. High LYPLAL1 expression shows unfavorable associations in ACC, SCLC, UVM and LGG, but favorable associations in KIRC and MESO. 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 LYPLAL1 RNA expression.
This table summarizes LYPLAL1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 5. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for LYPLAL1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. LYPLAL1 shows lower tumor expression in KIRC, KIRP, KICH and THCA and higher tumor expression in LIHC and COAD. The KIRC box plot shows higher LYPLAL1 RNA expression in normal versus tumor tissue (log2 FC = −0.753, t-test p < 0.001).
This table shows molecular features associated with LYPLAL1 in patient tissues and cancer cell lines. In patient samples, LYPLAL1 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, LYPLAL1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Myeloma and LUNG_NSCLC_LUAD.
