Q-omics provides the consensus-scored SEC22B2P profile across patient tissues and cancer cell-line models. SEC22B2P expression is associated with patient survival in 14 of 34 cancer types, with the highest sampling consensus in UCS. Among the 18 cancer types available for tumor–normal comparison, SEC22B2P is differentially expressed in 3, with the highest sampling consensus in BRCA. Additionally, SEC22B2P RNA expression shows 7,270 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight UCS, BRCA, and THYM as cancer lineages where SEC22B2P 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 SEC22B2P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SEC22B2P survival associations across molecular data types. SEC22B2P RNA expression shows survival associations in the most cancer types (14). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SEC22B2P RNA expression–survival associations across cancer types. High SEC22B2P expression shows unfavorable associations in UCS, THCA, READ, STAD, ACC and KIRP. The UCS Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .002). Together, the overview and detailed table identify UCS as the clearest survival context for SEC22B2P RNA expression.
This table summarizes SEC22B2P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in BRCA for RNA.
This table ranks reproducible tumor–normal expression differences for SEC22B2P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SEC22B2P shows lower tumor expression in BRCA and LUAD and higher tumor expression in KICH. The BRCA box plot shows higher SEC22B2P RNA expression in normal versus tumor tissue (log2 FC = −0.068, t-test p = .006).
This table shows molecular features associated with SEC22B2P in patient tissues and cancer cell lines. In patient samples, SEC22B2P shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
