Q-omics provides the consensus-scored ARHGEF2-AS1 profile across patient tissues and cancer cell-line models. ARHGEF2-AS1 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in BLCA. Among the 18 cancer types available for tumor–normal comparison, ARHGEF2-AS1 is differentially expressed in 11, with the highest sampling consensus in LUAD. Additionally, ARHGEF2-AS1 RNA expression shows 13,769 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight BLCA, LUAD, and KIRP as cancer lineages where ARHGEF2-AS1 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 ARHGEF2-AS1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ARHGEF2-AS1 survival associations across molecular data types. ARHGEF2-AS1 RNA expression shows survival associations in the most cancer types (25). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ARHGEF2-AS1 RNA expression–survival associations across cancer types. High ARHGEF2-AS1 expression shows unfavorable associations in KIRC, ACC and LIHC, but favorable associations in BLCA, UCS and OV. The BLCA Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .001). Together, the overview and detailed table identify BLCA as the clearest survival context for ARHGEF2-AS1 RNA expression.
This table summarizes ARHGEF2-AS1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in LUAD for RNA.
This table ranks reproducible tumor–normal expression differences for ARHGEF2-AS1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ARHGEF2-AS1 shows lower tumor expression in LUAD, LUSC and KICH and higher tumor expression in KIRP, PAAD and STAD. The LUAD box plot shows higher ARHGEF2-AS1 RNA expression in normal versus tumor tissue (log2 FC = −2.085, t-test p < 0.001).
This table shows molecular features associated with ARHGEF2-AS1 in patient tissues and cancer cell lines. In patient samples, ARHGEF2-AS1 shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set.
