Q-omics provides the consensus-scored CARM1 profile across patient tissues and cancer cell-line models. CARM1 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in BLCA. Among the 18 cancer types available for tumor–normal comparison, CARM1 is differentially expressed in 14, with the highest sampling consensus in COAD. Additionally, CARM1 protein abundance shows 20,590 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight BLCA, COAD, and LSCC as cancer lineages where CARM1 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 CARM1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CARM1 survival associations across molecular data types. CARM1 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (6) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CARM1 RNA expression–survival associations across cancer types. High CARM1 expression shows unfavorable associations in BLCA, MESO, ACC, LGG and KICH, but favorable associations in SCLC. The BLCA 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 BLCA as the clearest survival context for CARM1 RNA expression.
This table summarizes CARM1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 5. The strongest signals are observed in COAD for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for CARM1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CARM1 shows higher tumor expression in COAD, HNSC, LUAD, LUSC, LIHC and STAD. The COAD box plot shows higher CARM1 RNA expression in tumor versus normal tissue (log2 FC = +1.262, t-test p < 0.001).
This table shows molecular features associated with CARM1 in patient tissues and cancer cell lines. In patient samples, CARM1 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, CARM1 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 UPPER_AERODIGESTIVE_TRACT and PANCREAS.
