ARF like GTPase 4A pseudogene 1Genealiases: ARL4B · ARL4P
Q-omics provides the consensus-scored ARL4AP1 profile across patient tissues and cancer cell-line models. ARL4AP1 expression is associated with patient survival in 14 of 34 cancer types, with the highest sampling consensus in UCS. Among the 18 cancer types available for tumor–normal comparison, ARL4AP1 is differentially expressed in 3, with the highest sampling consensus in KICH. Additionally, ARL4AP1 protein abundance shows 28,346 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight UCS, KICH, and LSCC as cancer lineages where ARL4AP1 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 ARL4AP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ARL4AP1 survival associations across molecular data types. ARL4AP1 RNA expression shows survival associations in the most cancer types (14), followed by mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ARL4AP1 RNA expression–survival associations across cancer types. High ARL4AP1 expression shows unfavorable associations in UCS and CHOL, but favorable associations in ESCA, HNSC, OV and BRCA. The UCS 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 UCS as the clearest survival context for ARL4AP1 RNA expression.
This table summarizes ARL4AP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3, while mass-spec protein shows differences in 7. The strongest signals are observed in KICH for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for ARL4AP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ARL4AP1 shows lower tumor expression in KICH and higher tumor expression in BRCA and STAD. The KICH box plot shows higher ARL4AP1 RNA expression in normal versus tumor tissue (log2 FC = −0.034, t-test p = .010).
This table shows molecular features associated with ARL4AP1 in patient tissues and cancer cell lines. In patient samples, ARL4AP1 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
