ras homolog family member Q pseudogene 2Genealiases: []
Q-omics provides the consensus-scored RHOQP2 profile across patient tissues and cancer cell-line models. RHOQP2 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in LUAD. Among the 18 cancer types available for tumor–normal comparison, RHOQP2 is differentially expressed in 11, with the highest sampling consensus in BLCA. Additionally, RHOQP2 RNA expression shows 18,751 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight LUAD, BLCA, and UVM as cancer lineages where RHOQP2 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 RHOQP2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RHOQP2 survival associations across molecular data types. RHOQP2 RNA expression shows survival associations in the most cancer types (24). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RHOQP2 RNA expression–survival associations across cancer types. High RHOQP2 expression shows unfavorable associations in LGG, UVM and ACC, but favorable associations in LUAD, PRAD and SARC. The LUAD 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 LUAD as the clearest survival context for RHOQP2 RNA expression.
This table summarizes RHOQP2 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 BLCA for RNA.
This table ranks reproducible tumor–normal expression differences for RHOQP2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RHOQP2 shows lower tumor expression in BLCA, BRCA, LUAD and KICH and higher tumor expression in HNSC and LIHC. The BLCA box plot shows higher RHOQP2 RNA expression in normal versus tumor tissue (log2 FC = −1.052, t-test p = .001).
This table shows molecular features associated with RHOQP2 in patient tissues and cancer cell lines. In patient samples, RHOQP2 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
