SEC14 like lipid binding 1Genealiases: PRELID4A · SEC14L
Q-omics provides the consensus-scored SEC14L1 profile across patient tissues and cancer cell-line models. SEC14L1 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, SEC14L1 is differentially expressed in 10, with the highest sampling consensus in LUAD. Additionally, SEC14L1 RNA expression shows 19,738 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, LUAD, and ACC as cancer lineages where SEC14L1 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 SEC14L1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SEC14L1 survival associations across molecular data types. SEC14L1 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (6) 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 SEC14L1 RNA expression–survival associations across cancer types. High SEC14L1 expression shows unfavorable associations in BLCA, ACC and LGG, but favorable associations in KIRC, UCEC and BRCA. 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 SEC14L1 RNA expression.
This table summarizes SEC14L1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10, while mass-spec protein shows differences in 6. The strongest signals are observed in LUAD for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for SEC14L1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SEC14L1 shows lower tumor expression in LUAD, KICH, KIRP and BRCA and higher tumor expression in HNSC and LIHC. The LUAD box plot shows higher SEC14L1 RNA expression in normal versus tumor tissue (log2 FC = −0.990, t-test p < 0.001).
This table shows molecular features associated with SEC14L1 in patient tissues and cancer cell lines. In patient samples, SEC14L1 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, SEC14L1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and UPPER_AERODIGESTIVE_TRACT.
