Q-omics provides the consensus-scored ESPNP profile across patient tissues and cancer cell-line models. ESPNP expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, ESPNP is differentially expressed in 13, with the highest sampling consensus in KIRC. Additionally, ESPNP RNA expression shows 13,517 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight ACC, KIRC, and KIRP as cancer lineages where ESPNP 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 ESPNP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ESPNP survival associations across molecular data types. ESPNP RNA expression shows survival associations in the most cancer types (17), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ESPNP RNA expression–survival associations across cancer types. High ESPNP expression shows unfavorable associations in ACC, UCEC and CHOL, but favorable associations in KIRP, LUAD and UCS. The ACC 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 ACC as the clearest survival context for ESPNP RNA expression.
This table summarizes ESPNP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for ESPNP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ESPNP shows lower tumor expression in KIRC, KIRP and KICH and higher tumor expression in LUAD, UCEC and COAD. The KIRC box plot shows higher ESPNP RNA expression in normal versus tumor tissue (log2 FC = −0.216, t-test p < 0.001).
This table shows molecular features associated with ESPNP in patient tissues and cancer cell lines. In patient samples, ESPNP shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set. In cancer cell lines, ESPNP RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Myeloma, while CRISPR and shRNA rows add functional-dependency signals in URINARY_TRACT.
