Rac GTPase activating protein 1 pseudogene 1Genealiases: FKSG42 · RACGAP1P
Q-omics provides the consensus-scored RACGAP1P1 profile across patient tissues and cancer cell-line models. RACGAP1P1 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, RACGAP1P1 is differentially expressed in 4, with the highest sampling consensus in HNSC. Additionally, RACGAP1P1 RNA expression shows 7,305 significant gene co-expression associations, with the highest sampling consensus in LIHC. Together, these results highlight UVM, HNSC, and LIHC as cancer lineages where RACGAP1P1 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 RACGAP1P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RACGAP1P1 survival associations across molecular data types. RACGAP1P1 RNA expression shows survival associations in the most cancer types (17). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RACGAP1P1 RNA expression–survival associations across cancer types. High RACGAP1P1 expression shows unfavorable associations in UVM, STAD, KICH and KIRP, but favorable associations in UCEC and UCS. The UVM Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .002). Together, the overview and detailed table identify UVM as the clearest survival context for RACGAP1P1 RNA expression.
This table summarizes RACGAP1P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 4. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for RACGAP1P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RACGAP1P1 shows higher tumor expression in HNSC, COAD, LUAD and UCEC. The HNSC box plot shows higher RACGAP1P1 RNA expression in tumor versus normal tissue (log2 FC = +0.022, t-test p = .005).
This table shows molecular features associated with RACGAP1P1 in patient tissues and cancer cell lines. In patient samples, RACGAP1P1 shows the broadest associations at the RNA and protein expression levels, with LIHC recurring as the lineage with the largest associated feature set.
