Q-omics provides the consensus-scored TRMT13 profile across patient tissues and cancer cell-line models. TRMT13 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, TRMT13 is differentially expressed in 10, with the highest sampling consensus in LIHC. Additionally, TRMT13 protein abundance shows 29,840 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight LIHC, and LSCC as cancer lineages where TRMT13 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 TRMT13 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TRMT13 survival associations across molecular data types. TRMT13 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (3) and mass-spec protein abundance (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible TRMT13 RNA expression–survival associations across cancer types. High TRMT13 expression shows unfavorable associations in LIHC, LGG, MESO and KIRC, but favorable associations in LUAD and GBM. The LIHC 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 LIHC as the clearest survival context for TRMT13 RNA expression.
This table summarizes TRMT13 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10, while mass-spec protein shows differences in 9. The strongest signals are observed in THCA for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for TRMT13. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TRMT13 shows lower tumor expression in THCA, KICH and BRCA and higher tumor expression in LIHC, BLCA and LUAD. The LIHC box plot shows higher TRMT13 RNA expression in tumor versus normal tissue (log2 FC = +0.747, t-test p < 0.001).
This table shows molecular features associated with TRMT13 in patient tissues and cancer cell lines. In patient samples, TRMT13 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, TRMT13 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Lymphoma, while CRISPR and shRNA rows add functional-dependency signals in SKIN and BLOOD_Leukemia.
