MAGED4

associated omics data
MAGE family member D4Genealiases: MAGE-D4 · MAGE-E1 · MAGE1

Q-omics provides the consensus-scored MAGED4 profile across patient tissues and cancer cell-line models. MAGED4 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, MAGED4 is differentially expressed in 7, with the highest sampling consensus in KIRP. Additionally, MAGED4 RNA expression shows 10,094 significant gene co-expression associations, with the highest sampling consensus in ESCA. Together, these results highlight KICH, KIRP, and ESCA as cancer lineages where MAGED4 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 MAGED4 survival associations across molecular data types. MAGED4 RNA expression shows survival associations in the most cancer types (23). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
MAGED4 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier23KICH (90)view →
This table ranks reproducible MAGED4 RNA expression–survival associations across cancer types. High MAGED4 expression shows unfavorable associations in KICH, STAD, ACC and LGG, but favorable associations in LUSC and BLCA. The KICH 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 KICH as the clearest survival context for MAGED4 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KICHDFSTertileAll0.0810.904<.00190view →
STADOSTertileAll0.3180.493.00951view →
LUSCOSTertileII,III,IV0.6910.478.00245view →
ACCDFSTertileAll0.1120.515.00442view →
LGGDFSMedianAll0.6720.800<.00142view →
BLCAOSTertileIII,IV0.6590.504.01240view →
Pink = unfavorable, green = favorable. all 23 lineages →

MAGED4-KICH (DFS)

Kaplan–Meier survival curve for MAGED4 RNA expression in KICH: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes MAGED4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in KIRP for RNA.
MAGED4 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot7KIRP (8)view →
This table ranks reproducible tumor–normal expression differences for MAGED4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MAGED4 shows lower tumor expression in THCA and higher tumor expression in KIRP, HNSC, LUSC, LIHC and LUAD. The KIRP box plot shows higher MAGED4 RNA expression in tumor versus normal tissue (log2 FC = +0.008, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KIRPAllAll+0.008<.0018view →
HNSCAllII,III,IV+0.006.0047view →
LUSCAllAll+0.016<.0015view →
LIHCFemaleIII,IV+0.010.0134view →
LUADAllAll+0.010.0012view →
THCAAllAll−0.005.0152view →
Green = repressed in tumor. all 7 lineages →

MAGED4-KIRP

Tumor-vs-normal expression box plot for MAGED4 in KIRP.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with MAGED4 in patient tissues and cancer cell lines. In patient samples, MAGED4 shows the broadest associations at the RNA and protein expression levels, with ESCA recurring as the lineage with the largest associated feature set. In cancer cell lines, MAGED4 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.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA10,094ESCA (3436)view →
Function (RNA)6,726OV (3513)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA8,298LUNG_SCLC (2200)view →
Function (RNA)3,809BLOOD_Leukemia (954)view →