Q-omics provides the consensus-scored MTND2P23 profile across patient tissues and cancer cell-line models. MTND2P23 expression is associated with patient survival in 11 of 34 cancer types, with the highest sampling consensus in STAD. Among the 18 cancer types available for tumor–normal comparison, MTND2P23 is differentially expressed in 2, with the highest sampling consensus in LUSC. Additionally, MTND2P23 RNA expression shows 6,803 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight STAD, LUSC, and GBM as cancer lineages where MTND2P23 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 MTND2P23 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MTND2P23 survival associations across molecular data types. MTND2P23 RNA expression shows survival associations in the most cancer types (11). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MTND2P23 RNA expression–survival associations across cancer types. High MTND2P23 expression shows unfavorable associations in STAD, READ, UCEC, THCA and MESO, but favorable associations in ESCA. The STAD Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .005). Together, the overview and detailed table identify STAD as the clearest survival context for MTND2P23 RNA expression.
This table summarizes MTND2P23 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 LUSC for RNA.
This table ranks reproducible tumor–normal expression differences for MTND2P23. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MTND2P23 shows lower tumor expression in LUSC and KIRC. The LUSC box plot shows higher MTND2P23 RNA expression in normal versus tumor tissue (log2 FC = −0.042, t-test p = .014).
This table shows molecular features associated with MTND2P23 in patient tissues and cancer cell lines. In patient samples, MTND2P23 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
