Q-omics provides the consensus-scored ARMCX1 profile across patient tissues and cancer cell-line models. ARMCX1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, ARMCX1 is differentially expressed in 14, with the highest sampling consensus in BLCA. Additionally, ARMCX1 protein abundance shows 20,533 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRC, BLCA, and LSCC as cancer lineages where ARMCX1 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 ARMCX1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ARMCX1 survival associations across molecular data types. ARMCX1 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (7) and mass-spec protein abundance (11). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ARMCX1 RNA expression–survival associations across cancer types. High ARMCX1 expression shows unfavorable associations in CESC, BLCA and STAD, but favorable associations in KIRC, MESO and PAAD. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for ARMCX1 RNA expression.
This table summarizes ARMCX1 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 9. The strongest signals are observed in BLCA for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for ARMCX1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ARMCX1 shows lower tumor expression in BLCA, THCA, LUAD, COAD, KICH and LUSC. The BLCA box plot shows higher ARMCX1 RNA expression in normal versus tumor tissue (log2 FC = −1.916, t-test p < 0.001).
This table shows molecular features associated with ARMCX1 in patient tissues and cancer cell lines. In patient samples, ARMCX1 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, ARMCX1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in BONE and SOFT_TISSUE.
