Q-omics provides the consensus-scored NEDD8-MDP1 profile across patient tissues and cancer cell-line models. NEDD8-MDP1 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in OV. Among the 18 cancer types available for tumor–normal comparison, NEDD8-MDP1 is differentially expressed in 6, with the highest sampling consensus in KICH. Additionally, NEDD8-MDP1 RNA expression shows 13,831 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight OV, KICH, and ACC as cancer lineages where NEDD8-MDP1 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 NEDD8-MDP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NEDD8-MDP1 survival associations across molecular data types. NEDD8-MDP1 RNA expression shows survival associations in the most cancer types (25). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NEDD8-MDP1 RNA expression–survival associations across cancer types. High NEDD8-MDP1 expression shows unfavorable associations in OV, BRCA, KIRC, LIHC, ACC and HNSC. The OV Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .003). Together, the overview and detailed table identify OV as the clearest survival context for NEDD8-MDP1 RNA expression.
This table summarizes NEDD8-MDP1 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 KICH for RNA.
This table ranks reproducible tumor–normal expression differences for NEDD8-MDP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NEDD8-MDP1 shows lower tumor expression in KICH and KIRC and higher tumor expression in BLCA, KIRP, ESCA and LIHC. The KICH box plot shows higher NEDD8-MDP1 RNA expression in normal versus tumor tissue (log2 FC = −0.296, t-test p < 0.001).
This table shows molecular features associated with NEDD8-MDP1 in patient tissues and cancer cell lines. In patient samples, NEDD8-MDP1 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, NEDD8-MDP1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE.
