GPR158

associated omics data
Gene

Q-omics provides the consensus-scored GPR158 profile across patient tissues and cancer cell-line models. GPR158 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in LGG. Among the 18 cancer types available for tumor–normal comparison, GPR158 is differentially expressed in 14, with the highest sampling consensus in HNSC. Additionally, GPR158 RNA expression shows 15,925 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight LGG, HNSC, and THYM as cancer lineages where GPR158 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 GPR158 survival associations across molecular data types. GPR158 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (7) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
GPR158 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier23LGG (50)view →
MutationKaplan–Meier7UCEC (28)view →
Protein (mass-spec)Kaplan–Meier1GBM (3)view →
This table ranks reproducible GPR158 RNA expression–survival associations across cancer types. High GPR158 expression shows unfavorable associations in UCEC, KIRP, DLBC and THCA, but favorable associations in LGG and UVM. The LGG 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 LGG as the clearest survival context for GPR158 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
LGGDFSMedianAll0.4940.298<.00150view →
UCECDFSTertileAll0.7470.892<.00144view →
UVMOSTertileAll0.8970.582.00332view →
KIRPDFSQuartileAll0.5590.713.00726view →
DLBCDFSQuartileIII,IV0.0650.774.01025view →
THCAOSTertileAll0.9811.000.00721view →
Pink = unfavorable, green = favorable. all 23 lineages →

GPR158-LGG (DFS)

Kaplan–Meier survival curve for GPR158 RNA expression in LGG: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes GPR158 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 HNSC for RNA.
GPR158 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot14HNSC (12)view →
This table ranks reproducible tumor–normal expression differences for GPR158. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GPR158 shows lower tumor expression in THCA and higher tumor expression in HNSC, STAD, LIHC, LUSC and BRCA. The HNSC box plot shows higher GPR158 RNA expression in tumor versus normal tissue (log2 FC = +1.126, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
HNSCMaleAll+1.126<.00112view →
STADAllII,III,IV+1.000<.0018view →
LIHCMaleAll+1.021<.0017view →
LUSCAllII,III,IV+0.886<.0017view →
THCAMaleII,III,IV−0.664<.0017view →
BRCAAllII,III,IV+0.513<.0016view →
Green = repressed in tumor. all 14 lineages →

GPR158-HNSC

Tumor-vs-normal expression box plot for GPR158 in HNSC.

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Cross-omics associations

This table shows molecular features associated with GPR158 in patient tissues and cancer cell lines. In patient samples, GPR158 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, GPR158 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in OESOPHAGUS and LARGE_INTESTINE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA15,925THYM (7261)view →
Function (RNA)7,143THYM (3669)view →
Protein (mass-spec)
Protein (mass-spec)13,605GBM (13605)view →
RNA4,147GBM (4147)view →
Mutation
RNA10,021SKCM (5020)view →
Protein (RPPA)79UCEC (33)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,775SOFT_TISSUE (149)view →
RNA1,542OESOPHAGUS (233)view →
Mutation
Mutation6,765LARGE_INTESTINE (5700)view →
RNA729LARGE_INTESTINE (544)view →
RNA
RNA4,249BLOOD_Leukemia (621)view →
Function (RNA)1,991BLOOD_Leukemia (300)view →
shRNA
shRNA1,653SKIN (224)view →
RNA1,246LARGE_INTESTINE (167)view →