Q-omics provides the consensus-scored RAC1P3 profile across patient tissues and cancer cell-line models. RAC1P3 expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, RAC1P3 is differentially expressed in 5, with the highest sampling consensus in COAD. Additionally, RAC1P3 RNA expression shows 7,186 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight UCEC, COAD, and GBM as cancer lineages where RAC1P3 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 RAC1P3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RAC1P3 survival associations across molecular data types. RAC1P3 RNA expression shows survival associations in the most cancer types (16). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RAC1P3 RNA expression–survival associations across cancer types. High RAC1P3 expression shows unfavorable associations in UCEC, BRCA, SKCM, MESO, KICH and THYM. The UCEC 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 UCEC as the clearest survival context for RAC1P3 RNA expression.
This table summarizes RAC1P3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for RAC1P3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RAC1P3 shows higher tumor expression in COAD, KIRP, LIHC, LUSC and THCA. The COAD box plot shows higher RAC1P3 RNA expression in tumor versus normal tissue (log2 FC = +0.070, t-test p = .001).
This table shows molecular features associated with RAC1P3 in patient tissues and cancer cell lines. In patient samples, RAC1P3 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
