Q-omics provides the consensus-scored ENPP7P1 profile across patient tissues and cancer cell-line models. ENPP7P1 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in CESC. Among the 18 cancer types available for tumor–normal comparison, ENPP7P1 is differentially expressed in 2, with the highest sampling consensus in STAD. Additionally, ENPP7P1 RNA expression shows 13,403 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight CESC, STAD, and THYM as cancer lineages where ENPP7P1 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 ENPP7P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ENPP7P1 survival associations across molecular data types. ENPP7P1 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 ENPP7P1 RNA expression–survival associations across cancer types. High ENPP7P1 expression shows unfavorable associations in COAD, ACC, LIHC, PCPG and KIRC, but favorable associations in CESC. The CESC 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 CESC as the clearest survival context for ENPP7P1 RNA expression.
This table summarizes ENPP7P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 2. The strongest signals are observed in STAD for RNA.
This table ranks reproducible tumor–normal expression differences for ENPP7P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ENPP7P1 shows higher tumor expression in STAD and LUSC. The STAD box plot shows higher ENPP7P1 RNA expression in tumor versus normal tissue (log2 FC = +0.127, t-test p = .002).
This table shows molecular features associated with ENPP7P1 in patient tissues and cancer cell lines. In patient samples, ENPP7P1 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
