Q-omics provides the consensus-scored MT2P1 profile across patient tissues and cancer cell-line models. MT2P1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, MT2P1 is differentially expressed in 11, with the highest sampling consensus in LIHC. Additionally, MT2P1 RNA expression shows 14,425 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight HNSC, LIHC, and TGCT as cancer lineages where MT2P1 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 MT2P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MT2P1 survival associations across molecular data types. MT2P1 RNA expression shows survival associations in the most cancer types (22). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MT2P1 RNA expression–survival associations across cancer types. High MT2P1 expression shows unfavorable associations in HNSC, LUAD, UCS and KICH, but favorable associations in SKCM and ESCA. The HNSC 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 HNSC as the clearest survival context for MT2P1 RNA expression.
This table summarizes MT2P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in LIHC for RNA.
This table ranks reproducible tumor–normal expression differences for MT2P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MT2P1 shows lower tumor expression in LIHC, KICH, COAD and CHOL and higher tumor expression in UCEC and HNSC. The LIHC box plot shows higher MT2P1 RNA expression in normal versus tumor tissue (log2 FC = −3.726, t-test p < 0.001).
This table shows molecular features associated with MT2P1 in patient tissues and cancer cell lines. In patient samples, MT2P1 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set.
