MRGPRX3

associated omics data
MAS related GPR family member X3Genealiases: GPCR · MRGX3 · SNSR1 · SNSR2

Q-omics provides the consensus-scored MRGPRX3 profile across patient tissues and cancer cell-line models. MRGPRX3 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, MRGPRX3 is differentially expressed in 6, with the highest sampling consensus in BRCA. Additionally, MRGPRX3 RNA expression shows 12,820 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight LIHC, BRCA, and TGCT as cancer lineages where MRGPRX3 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 MRGPRX3 survival associations across molecular data types. MRGPRX3 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (9). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
MRGPRX3 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier25LIHC (46)view →
MutationKaplan–Meier9THYM (42)view →
This table ranks reproducible MRGPRX3 RNA expression–survival associations across cancer types. High MRGPRX3 expression shows unfavorable associations in LIHC, KIRC, KICH, MESO and UCEC, but favorable associations in BRCA. The LIHC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .004). Together, the overview and detailed table identify LIHC as the clearest survival context for MRGPRX3 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
LIHCOSTertileIII,IV0.4030.694.00446view →
KIRCDFSQuartileAll0.4830.663.00144view →
KICHOSTertileIII,IV0.6730.980.00242view →
MESOOSQuartileAll0.3090.586<.00141view →
UCECDFSTertileAll0.7650.858.00836view →
BRCAOSQuartileAll0.5720.467.00526view →
Pink = unfavorable, green = favorable. all 25 lineages →

MRGPRX3-LIHC (OS)

Kaplan–Meier survival curve for MRGPRX3 RNA expression in LIHC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes MRGPRX3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in BRCA for RNA.
MRGPRX3 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot6BRCA (6)view →
This table ranks reproducible tumor–normal expression differences for MRGPRX3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MRGPRX3 shows lower tumor expression in BRCA, KIRP and THCA and higher tumor expression in LUSC, HNSC and LUAD. The BRCA box plot shows higher MRGPRX3 RNA expression in normal versus tumor tissue (log2 FC = −1.348, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
BRCAFemaleAll−1.348<.0016view →
LUSCMaleAll+0.878<.0013view →
HNSCAllAll+0.623.0252view →
KIRPAllIV−0.025.0272view →
LUADAllAll+0.137.0431view →
THCAMaleII,III,IV−0.026.0061view →
Green = repressed in tumor. all 6 lineages →

MRGPRX3-BRCA

Tumor-vs-normal expression box plot for MRGPRX3 in BRCA.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with MRGPRX3 in patient tissues and cancer cell lines. In patient samples, MRGPRX3 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, MRGPRX3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and LUNG_SCLC.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA12,820TGCT (5068)view →
Function (RNA)6,972BRCA (4028)view →
Mutation
RNA2,497UCEC (2101)view →
Protein (RPPA)23COAD (16)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,980BLOOD_Leukemia (179)view →
RNA1,574LARGE_INTESTINE (215)view →
Mutation
Mutation1,738LARGE_INTESTINE (1649)view →
RNA6LUNG_SCLC (3)view →
shRNA
shRNA1,667KIDNEY (170)view →
RNA1,639PANCREAS (299)view →
RNA
RNA1,367BLOOD_Lymphoma (502)view →
Function (RNA)489SKIN (196)view →