MRAP

associated omics data
melanocortin 2 receptor accessory proteinGenealiases: B27 · C21orf61 · FALP · GCCD2 · MRAP1

Q-omics provides the consensus-scored MRAP profile across patient tissues and cancer cell-line models. MRAP expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, MRAP is differentially expressed in 6, with the highest sampling consensus in BRCA. Additionally, MRAP RNA expression shows 12,979 significant gene co-expression associations, with the highest sampling consensus in LAML. Together, these results highlight KIRC, BRCA, and LAML as cancer lineages where MRAP 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 MRAP survival associations across molecular data types. MRAP RNA expression shows survival associations in the most cancer types (24), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
MRAP data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier24KIRC (135)view →
MutationKaplan–Meier4SKCM (13)view →
This table ranks reproducible MRAP RNA expression–survival associations across cancer types. High MRAP expression shows unfavorable associations in KIRC, UVM, CESC, KICH and OV, but favorable associations in MESO. 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 MRAP RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRCOSQuartileAll0.7060.838<.001135view →
MESOOSTertileAll0.6640.331<.001126view →
UVMDFSMedianAll0.4010.830<.001103view →
CESCOSMedianAll0.7020.881<.00182view →
KICHOSTertileIII,IV0.1780.868<.00175view →
OVOSTertileAll0.7870.891.00262view →
Pink = unfavorable, green = favorable. all 24 lineages →

MRAP-KIRC (OS)

Kaplan–Meier survival curve for MRAP RNA expression in KIRC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes MRAP 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.
MRAP data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot6BRCA (8)view →
This table ranks reproducible tumor–normal expression differences for MRAP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MRAP shows lower tumor expression in BRCA, LUSC, HNSC, LUAD and BLCA and higher tumor expression in STAD. The BRCA box plot shows higher MRAP RNA expression in normal versus tumor tissue (log2 FC = −2.935, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
BRCAAllIII,IV−2.935<.0018view →
LUSCAllII,III,IV−0.199<.0017view →
HNSCAllII,III,IV−0.326.0026view →
LUADAllII,III,IV−0.167.0032view →
BLCAMaleIV−0.285.0331view →
STADFemaleIII,IV+0.165.0251view →
Green = repressed in tumor. all 6 lineages →

MRAP-BRCA

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

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with MRAP in patient tissues and cancer cell lines. In patient samples, MRAP shows the broadest associations at the RNA and protein expression levels, with LAML recurring as the lineage with the largest associated feature set. In cancer cell lines, MRAP RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in SKIN and LUNG_NSCLC_LUAD.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA12,979LAML (3011)view →
Protein (mass-spec)9,402HNSC (3836)view →
Mutation
RNA393UCEC (294)view →
Infiltrating cells2STAD (2)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,651PANCREAS (233)view →
RNA1,143SKIN (139)view →
shRNA
shRNA1,063LUNG_NSCLC_LUAD (164)view →
RNA955LUNG_NSCLC_LUAD (332)view →
RNA
RNA755UPPER_AERODIGESTIVE_TRACT (326)view →
Mutation176UPPER_AERODIGESTIVE_TRACT (100)view →
Mutation
Mutation11LARGE_INTESTINE (11)view →