Q-omics provides the consensus-scored METTL1 profile across patient tissues and cancer cell-line models. METTL1 expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, METTL1 is differentially expressed in 15, with the highest sampling consensus in COAD. Additionally, METTL1 protein abundance shows 24,564 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRC, COAD, and GBM as cancer lineages where METTL1 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 METTL1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes METTL1 survival associations across molecular data types. METTL1 RNA expression shows survival associations in the most cancer types (28), followed by mutation status (5) and mass-spec protein abundance (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible METTL1 RNA expression–survival associations across cancer types. High METTL1 expression shows unfavorable associations in KIRC, ACC, LIHC, BLCA and MESO, but favorable associations in OV. The KIRC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify KIRC as the clearest survival context for METTL1 RNA expression.
This table summarizes METTL1 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 8. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for METTL1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. METTL1 shows higher tumor expression in COAD, KIRC, HNSC, STAD, LUAD and LIHC. The COAD box plot shows higher METTL1 RNA expression in tumor versus normal tissue (log2 FC = +1.766, t-test p < 0.001).
This table shows molecular features associated with METTL1 in patient tissues and cancer cell lines. In patient samples, METTL1 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, METTL1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and UPPER_AERODIGESTIVE_TRACT.
