Q-omics provides the consensus-scored TRMT12 profile across patient tissues and cancer cell-line models. TRMT12 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, TRMT12 is differentially expressed in 15, with the highest sampling consensus in HNSC. Additionally, TRMT12 RNA expression shows 18,759 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight HNSC, and ACC as cancer lineages where TRMT12 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 TRMT12 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TRMT12 survival associations across molecular data types. TRMT12 RNA expression shows survival associations in the most cancer types (21), followed by mutation status (3) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible TRMT12 RNA expression–survival associations across cancer types. High TRMT12 expression shows unfavorable associations in HNSC, LIHC, UVM, COAD and ACC, but favorable associations in KIRC. 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 TRMT12 RNA expression.
This table summarizes TRMT12 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15, while mass-spec protein shows differences in 1. The strongest signals are observed in HNSC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for TRMT12. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TRMT12 shows lower tumor expression in THCA and KICH and higher tumor expression in HNSC, LIHC, LUSC and STAD. The HNSC box plot shows higher TRMT12 RNA expression in tumor versus normal tissue (log2 FC = +1.103, t-test p < 0.001).
This table shows molecular features associated with TRMT12 in patient tissues and cancer cell lines. In patient samples, TRMT12 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, TRMT12 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 OVARY and BLOOD_Lymphoma.
