MAGEH1

associated omics data
MAGE family member H1Genealiases: APR-1 · APR1 · MAGEH

Q-omics provides the consensus-scored MAGEH1 profile across patient tissues and cancer cell-line models. MAGEH1 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, MAGEH1 is differentially expressed in 14, with the highest sampling consensus in THCA. Additionally, MAGEH1 RNA expression shows 19,269 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, THCA, and UVM as cancer lineages where MAGEH1 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 MAGEH1 survival associations across molecular data types. MAGEH1 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (6) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
MAGEH1 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier24KIRC (96)view →
MutationKaplan–Meier6LIHC (24)view →
Protein (mass-spec)Kaplan–Meier1GBM (12)view →
This table ranks reproducible MAGEH1 RNA expression–survival associations across cancer types. High MAGEH1 expression shows unfavorable associations in STAD and LIHC, but favorable associations in KIRC, PAAD, LGG and LUAD. The KIRC 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 KIRC as the clearest survival context for MAGEH1 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRCDFSMedianAll0.6880.566<.00196view →
STADOSQuartileAll0.4680.714<.00186view →
PAADDFSMedianAll0.3930.200<.00152view →
LGGDFSMedianAll0.8330.630<.00151view →
LIHCDFSTertileAll0.3130.503<.00141view →
LUADDFSQuartileAll0.4310.230<.00137view →
Pink = unfavorable, green = favorable. all 24 lineages →

MAGEH1-KIRC (DFS)

Kaplan–Meier survival curve for MAGEH1 RNA expression in KIRC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes MAGEH1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 2. The strongest signals are observed in THCA for RNA and LUAD for protein.
MAGEH1 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot14THCA (11)view →
Protein (mass-spec)Box plot2LUAD (1)view →
This table ranks reproducible tumor–normal expression differences for MAGEH1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MAGEH1 shows lower tumor expression in THCA, LUSC, LUAD, KICH, UCEC and COAD. The THCA box plot shows higher MAGEH1 RNA expression in normal versus tumor tissue (log2 FC = −1.667, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
THCAAllIV−1.667<.00111view →
LUSCAllIII,IV−1.415<.0019view →
LUADFemaleIII,IV−1.207<.0018view →
KICHAllII,III,IV−1.184<.0017view →
UCECAllIII,IV−3.677<.0016view →
COADAllII,III,IV−0.748<.0016view →
Green = repressed in tumor. all 14 lineages →

MAGEH1-THCA

Tumor-vs-normal expression box plot for MAGEH1 in THCA.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with MAGEH1 in patient tissues and cancer cell lines. In patient samples, MAGEH1 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, MAGEH1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in CNS and BLOOD_Leukemia.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA19,269UVM (7042)view →
Protein (mass-spec)19,219CCRCC (4256)view →
Mutation
RNA4,023UCEC (3927)view →
Protein (RPPA)32UCEC (32)view →
Protein (mass-spec)
Protein (mass-spec)3,871GBM (1285)view →
RNA1,458LSCC (422)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,532BONE (115)view →
RNA1,388CNS (352)view →
RNA
RNA9,929BLOOD_Leukemia (4612)view →
Function (RNA)4,150BLOOD_Leukemia (1541)view →
shRNA
shRNA2,183BLOOD_Myeloma (338)view →
RNA1,463LUNG_SCLC (156)view →
Mutation
Mutation718LARGE_INTESTINE (718)view →
RNA2LARGE_INTESTINE (2)view →