SEC13 homolog, nuclear pore and COPII coat complex component pseudogene 1Genealiases: []
Q-omics provides the consensus-scored SEC13P1 profile across patient tissues and cancer cell-line models. SEC13P1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, SEC13P1 is differentially expressed in 9, with the highest sampling consensus in COAD. Additionally, SEC13P1 RNA expression shows 15,917 significant gene co-expression associations, with the highest sampling consensus in DLBC. Together, these results highlight KICH, COAD, and DLBC as cancer lineages where SEC13P1 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 SEC13P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SEC13P1 survival associations across molecular data types. SEC13P1 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 SEC13P1 RNA expression–survival associations across cancer types. High SEC13P1 expression shows unfavorable associations in KICH, OV, ACC, KIRC and THCA, but favorable associations in COAD. The KICH Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p < 0.001). Together, the overview and detailed table identify KICH as the clearest survival context for SEC13P1 RNA expression.
This table summarizes SEC13P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for SEC13P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SEC13P1 shows higher tumor expression in COAD, BRCA, BLCA, LIHC, READ and STAD. The COAD box plot shows higher SEC13P1 RNA expression in tumor versus normal tissue (log2 FC = +0.161, t-test p = .002).
This table shows molecular features associated with SEC13P1 in patient tissues and cancer cell lines. In patient samples, SEC13P1 shows the broadest associations at the RNA and protein expression levels, with DLBC recurring as the lineage with the largest associated feature set.
