MDGA1

associated omics data
MAM domain containing glycosylphosphatidylinositol anchor 1Genealiases: GPIM · MAMDC3

Q-omics provides the consensus-scored MDGA1 profile across patient tissues and cancer cell-line models. MDGA1 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, MDGA1 is differentially expressed in 13, with the highest sampling consensus in KICH. Additionally, MDGA1 RNA expression shows 16,823 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UVM, and KICH as cancer lineages where MDGA1 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 MDGA1 survival associations across molecular data types. MDGA1 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (7) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
MDGA1 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier23UVM (101)view →
MutationKaplan–Meier7THYM (42)view →
Protein (mass-spec)Kaplan–Meier3PDAC (28)view →
This table ranks reproducible MDGA1 RNA expression–survival associations across cancer types. High MDGA1 expression shows unfavorable associations in UVM, KIRC, THCA and KIRP, but favorable associations in SKCM and CHOL. The UVM 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 UVM as the clearest survival context for MDGA1 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
UVMOSMedianAll0.4120.761<.001101view →
SKCMOSMedianII,III,IV0.9110.768.00183view →
CHOLDFSQuartileAll0.6290.097<.00167view →
KIRCDFSMedianII,III,IV0.4190.623<.00160view →
THCAOSTertileAll0.9771.000.00232view →
KIRPDFSTertileIV0.0490.765.01028view →
Pink = unfavorable, green = favorable. all 23 lineages →

MDGA1-UVM (OS)

Kaplan–Meier survival curve for MDGA1 RNA expression in UVM: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes MDGA1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 3. The strongest signals are observed in KICH for RNA and LUAD for protein.
MDGA1 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot13KICH (10)view →
Protein (mass-spec)Box plot3LUAD (7)view →
This table ranks reproducible tumor–normal expression differences for MDGA1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MDGA1 shows lower tumor expression in KICH, LUAD, COAD and UCEC and higher tumor expression in HNSC and LIHC. The KICH box plot shows higher MDGA1 RNA expression in normal versus tumor tissue (log2 FC = −0.736, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KICHAllAll−0.736<.00110view →
HNSCAllAll+0.843<.0019view →
LUADFemaleIII,IV−1.436<.0018view →
COADAllAll−0.386<.0018view →
LIHCAllII,III,IV+0.584<.0017view →
UCECAllAll−1.335<.0016view →
Green = repressed in tumor. all 13 lineages →

MDGA1-KICH

Tumor-vs-normal expression box plot for MDGA1 in KICH.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with MDGA1 in patient tissues and cancer cell lines. In patient samples, MDGA1 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, MDGA1 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 LARGE_INTESTINE and CNS.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA16,823UVM (6863)view →
Protein (mass-spec)10,961LSCC (2401)view →
Protein (mass-spec)
Protein (mass-spec)11,891LUAD (5765)view →
RNA4,980LSCC (1537)view →
Mutation
RNA4,267UCEC (3042)view →
Protein (RPPA)46UCEC (39)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR2,091SOFT_TISSUE (182)view →
RNA1,531LARGE_INTESTINE (193)view →
RNA
RNA8,567CNS (2163)view →
Function (RNA)4,081CNS (1102)view →
Mutation
Mutation4,927LARGE_INTESTINE (4157)view →
RNA691LARGE_INTESTINE (624)view →
shRNA
RNA2,171LUNG_SCLC (717)view →
shRNA1,688SKIN (362)view →