Q-omics provides the consensus-scored RAPGEF4 profile across patient tissues and cancer cell-line models. RAPGEF4 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, RAPGEF4 is differentially expressed in 11, with the highest sampling consensus in HNSC. Additionally, RAPGEF4 protein abundance shows 25,609 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRC, HNSC, and GBM as cancer lineages where RAPGEF4 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 RAPGEF4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RAPGEF4 survival associations across molecular data types. RAPGEF4 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (5) and mass-spec protein abundance (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RAPGEF4 RNA expression–survival associations across cancer types. High RAPGEF4 expression shows unfavorable associations in KIRP, UVM and UCEC, but favorable associations in KIRC, PAAD and LGG. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for RAPGEF4 RNA expression.
This table summarizes RAPGEF4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 6. The strongest signals are observed in HNSC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for RAPGEF4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RAPGEF4 shows lower tumor expression in LUAD, LUSC, KIRP and UCEC and higher tumor expression in HNSC and KIRC. The HNSC box plot shows higher RAPGEF4 RNA expression in tumor versus normal tissue (log2 FC = +1.120, t-test p < 0.001).
This table shows molecular features associated with RAPGEF4 in patient tissues and cancer cell lines. In patient samples, RAPGEF4 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, RAPGEF4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and LARGE_INTESTINE.
