Q-omics provides the consensus-scored ENTR1P2 profile across patient tissues and cancer cell-line models. ENTR1P2 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, ENTR1P2 is differentially expressed in 6, with the highest sampling consensus in COAD. Additionally, ENTR1P2 RNA expression shows 6,599 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight KIRC, COAD, and STAD as cancer lineages where ENTR1P2 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 ENTR1P2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ENTR1P2 survival associations across molecular data types. ENTR1P2 RNA expression shows survival associations in the most cancer types (17). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ENTR1P2 RNA expression–survival associations across cancer types. High ENTR1P2 expression shows unfavorable associations in KIRC, ACC, BLCA, BRCA and LIHC, but favorable associations in SKCM. The KIRC 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 KIRC as the clearest survival context for ENTR1P2 RNA expression.
This table summarizes ENTR1P2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for ENTR1P2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ENTR1P2 shows lower tumor expression in LIHC and higher tumor expression in COAD, HNSC, STAD, LUSC and KIRC. The COAD box plot shows higher ENTR1P2 RNA expression in tumor versus normal tissue (log2 FC = +0.157, t-test p = .005).
This table shows molecular features associated with ENTR1P2 in patient tissues and cancer cell lines. In patient samples, ENTR1P2 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
