Q-omics provides the consensus-scored SEC14L1P1 profile across patient tissues and cancer cell-line models. SEC14L1P1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in UCS. Among the 18 cancer types available for tumor–normal comparison, SEC14L1P1 is differentially expressed in 10, with the highest sampling consensus in HNSC. Additionally, SEC14L1P1 RNA expression shows 20,210 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight UCS, HNSC, and THYM as cancer lineages where SEC14L1P1 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 SEC14L1P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SEC14L1P1 survival associations across molecular data types. SEC14L1P1 RNA expression shows survival associations in the most cancer types (22). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SEC14L1P1 RNA expression–survival associations across cancer types. High SEC14L1P1 expression shows unfavorable associations in STAD, ACC and COAD, but favorable associations in UCS, SKCM and UCEC. The UCS 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 UCS as the clearest survival context for SEC14L1P1 RNA expression.
This table summarizes SEC14L1P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for SEC14L1P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SEC14L1P1 shows lower tumor expression in THCA and BRCA and higher tumor expression in HNSC, COAD, KIRC and KIRP. The HNSC box plot shows higher SEC14L1P1 RNA expression in tumor versus normal tissue (log2 FC = +0.537, t-test p < 0.001).
This table shows molecular features associated with SEC14L1P1 in patient tissues and cancer cell lines. In patient samples, SEC14L1P1 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, SEC14L1P1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in NCI60_ALL.
