regulator of G protein signaling 20Genealiases: RGSZ1 · ZGAP1 · g(z)GAP · gz-GAP
Q-omics provides the consensus-scored RGS20 profile across patient tissues and cancer cell-line models. RGS20 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, RGS20 is differentially expressed in 12, with the highest sampling consensus in HNSC. Additionally, RGS20 RNA expression shows 17,994 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, HNSC, and UVM as cancer lineages where RGS20 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 RGS20 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RGS20 survival associations across molecular data types. RGS20 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (4) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RGS20 RNA expression–survival associations across cancer types. High RGS20 expression shows unfavorable associations in KIRC, ACC, LUAD, BRCA, MESO and UVM. The KIRC 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 KIRC as the clearest survival context for RGS20 RNA expression.
This table summarizes RGS20 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 1. The strongest signals are observed in HNSC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for RGS20. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RGS20 shows higher tumor expression in HNSC, KIRC, LUAD, LUSC, KIRP and LIHC. The HNSC box plot shows higher RGS20 RNA expression in tumor versus normal tissue (log2 FC = +1.559, t-test p < 0.001).
This table shows molecular features associated with RGS20 in patient tissues and cancer cell lines. In patient samples, RGS20 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, RGS20 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 BREAST and BONE.
