activity regulated cytoskeleton associated proteinGenealiases: Arg3.1 · hArc
Q-omics provides the consensus-scored ARC profile across patient tissues and cancer cell-line models. ARC expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, ARC is differentially expressed in 14, with the highest sampling consensus in KICH. Additionally, ARC RNA expression shows 14,041 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UVM, and KICH as cancer lineages where ARC 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 ARC — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ARC survival associations across molecular data types. ARC RNA expression shows survival associations in the most cancer types (21), followed by mutation status (8) 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 ARC RNA expression–survival associations across cancer types. High ARC expression shows unfavorable associations in UVM, UCEC, COAD, MESO and LGG, but favorable associations in KIRC. The UVM 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 UVM as the clearest survival context for ARC RNA expression.
This table summarizes ARC tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for ARC. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ARC shows lower tumor expression in KICH, KIRP, KIRC, LUAD, LUSC and UCEC. The KICH box plot shows higher ARC RNA expression in normal versus tumor tissue (log2 FC = −4.012, t-test p < 0.001).
This table shows molecular features associated with ARC in patient tissues and cancer cell lines. In patient samples, ARC shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, ARC RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and BONE.
