GABRP

associated omics data
gamma-aminobutyric acid type A receptor subunit piGenealiases: []

Q-omics provides the consensus-scored GABRP profile across patient tissues and cancer cell-line models. GABRP expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, GABRP is differentially expressed in 14, with the highest sampling consensus in HNSC. Additionally, GABRP RNA expression shows 13,567 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight KIRP, HNSC, and TGCT as cancer lineages where GABRP 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.

Survival associations

This table summarizes GABRP survival associations across molecular data types. GABRP RNA expression shows survival associations in the most cancer types (23), followed by mutation status (6) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
GABRP data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier23KIRP (131)view →
MutationKaplan–Meier6LIHC (15)view →
Protein (mass-spec)Kaplan–Meier1GBM (3)view →
This table ranks reproducible GABRP RNA expression–survival associations across cancer types. High GABRP expression shows unfavorable associations in KIRP, PAAD, LGG and BLCA, but favorable associations in UVM and THCA. The KIRP 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 KIRP as the clearest survival context for GABRP RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRPDFSQuartileAll0.4420.821<.001131view →
UVMDFSMedianAll0.8780.596<.00187view →
THCADFSTertileAll0.9700.629<.00160view →
PAADDFSQuartileAll0.1330.511<.00152view →
LGGDFSMedianAll0.6580.792<.00136view →
BLCAOSQuartileAll0.5190.804.01030view →
Pink = unfavorable, green = favorable. all 23 lineages →

GABRP-KIRP (DFS)

Kaplan–Meier survival curve for GABRP RNA expression in KIRP: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes GABRP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14. The strongest signals are observed in KIRC for RNA.
GABRP data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot14KIRC (11)view →
This table ranks reproducible tumor–normal expression differences for GABRP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GABRP shows lower tumor expression in HNSC, KICH, KIRC, BRCA and LIHC and higher tumor expression in COAD. The HNSC box plot shows higher GABRP RNA expression in normal versus tumor tissue (log2 FC = −3.447, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
HNSCMaleII,III,IV−3.447<.00111view →
KICHFemaleAll−2.694<.00111view →
KIRCMaleII,III,IV−2.166<.00111view →
COADFemaleII,III,IV+1.622<.0017view →
BRCAAllIII,IV−3.378<.0016view →
LIHCMaleAll−0.861<.0015view →
Green = repressed in tumor. all 14 lineages →

GABRP-HNSC

Tumor-vs-normal expression box plot for GABRP in HNSC.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with GABRP in patient tissues and cancer cell lines. In patient samples, GABRP shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, GABRP RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE, while CRISPR and shRNA rows add functional-dependency signals in STOMACH and PANCREAS.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA13,567TGCT (5566)view →
Protein (mass-spec)11,598BRCA (3625)view →
Mutation
RNA921UCEC (779)view →
Protein (RPPA)28UCEC (26)view →
Protein (mass-spec)
Protein (mass-spec)421UCEC (420)view →
RNA396UCEC (369)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,864LARGE_INTESTINE (205)view →
RNA1,326STOMACH (161)view →
RNA
RNA3,976PANCREAS (1084)view →
Function (RNA)1,927BREAST (425)view →
shRNA
shRNA2,069BONE (233)view →
RNA1,979BONE (409)view →
Mutation
Mutation1,495LARGE_INTESTINE (917)view →
RNA9BLOOD_Leukemia (3)view →