GPR15

associated omics data
Gene

Q-omics provides the consensus-scored GPR15 profile across patient tissues and cancer cell-line models. GPR15 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, GPR15 is differentially expressed in 10, with the highest sampling consensus in COAD. Additionally, GPR15 RNA expression shows 12,659 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight HNSC, COAD, and THYM as cancer lineages where GPR15 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 GPR15 survival associations across molecular data types. GPR15 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
GPR15 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier23HNSC (144)view →
MutationKaplan–Meier6KIRC (18)view →
This table ranks reproducible GPR15 RNA expression–survival associations across cancer types. High GPR15 expression shows unfavorable associations in UVM, LGG and STAD, but favorable associations in HNSC, LUAD and COAD. The HNSC 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 HNSC as the clearest survival context for GPR15 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
HNSCDFSMedianAll0.7640.627<.001144view →
UVMDFSQuartileII,III,IV0.2720.732<.00171view →
LUADOSQuartileIII,IV0.8150.312<.00169view →
LGGOSMedianAll0.3610.498<.00144view →
STADDFSQuartileAll0.4390.615.00339view →
COADDFSQuartileAll0.8750.714.00132view →
Pink = unfavorable, green = favorable. all 23 lineages →

GPR15-HNSC (DFS)

Kaplan–Meier survival curve for GPR15 RNA expression in HNSC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes GPR15 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in COAD for RNA.
GPR15 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot10COAD (12)view →
This table ranks reproducible tumor–normal expression differences for GPR15. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GPR15 shows lower tumor expression in COAD, HNSC, BRCA, READ and BLCA and higher tumor expression in KIRC. The COAD box plot shows higher GPR15 RNA expression in normal versus tumor tissue (log2 FC = −4.004, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
COADFemaleIII,IV−4.004<.00112view →
KIRCMaleAll+0.664<.0019view →
HNSCMaleII,III,IV−0.892<.0016view →
BRCAFemaleII,III,IV−0.572<.0016view →
READAllAll−2.849<.0015view →
BLCAAllAll−1.226.0065view →
Green = repressed in tumor. all 10 lineages →

GPR15-COAD

Tumor-vs-normal expression box plot for GPR15 in COAD.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with GPR15 in patient tissues and cancer cell lines. In patient samples, GPR15 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, GPR15 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and BREAST.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA12,659THYM (5714)view →
Protein (mass-spec)10,681GBM (3260)view →
Mutation
RNA521UCEC (371)view →
Protein (RPPA)9UCEC (9)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,838LUNG_SCLC (205)view →
RNA1,428BLOOD_Leukemia (239)view →
shRNA
shRNA2,279BREAST (240)view →
CRISPR1,409KIDNEY (119)view →
RNA
RNA2,235BLOOD_Lymphoma (1154)view →
Function (RNA)904BLOOD_Lymphoma (546)view →
Mutation
Mutation1,767LARGE_INTESTINE (1243)view →