MAFG-DT

associated omics data
Gene

Q-omics provides the consensus-scored MAFG-DT profile across patient tissues and cancer cell-line models. MAFG-DT expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in BLCA. Among the 18 cancer types available for tumor–normal comparison, MAFG-DT is differentially expressed in 16, with the highest sampling consensus in COAD. Additionally, MAFG-DT RNA expression shows 17,846 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight BLCA, COAD, and LSCC as cancer lineages where MAFG-DT 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 MAFG-DT survival associations across molecular data types. MAFG-DT RNA expression shows survival associations in the most cancer types (20). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
MAFG-DT data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier20BLCA (138)view →
This table ranks reproducible MAFG-DT RNA expression–survival associations across cancer types. High MAFG-DT expression shows unfavorable associations in BLCA, KIRC, ACC, LIHC and SARC, but favorable associations in HNSC. The BLCA 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 BLCA as the clearest survival context for MAFG-DT RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
BLCADFSMedianAll0.2520.464<.001138view →
KIRCOSTertileAll0.5440.733<.001130view →
ACCDFSMedianAll0.2150.674<.001102view →
LIHCOSMedianAll0.6930.864<.00173view →
HNSCOSTertileIV0.4540.252.00330view →
SARCOSMedianAll0.6670.814.00126view →
Pink = unfavorable, green = favorable. all 20 lineages →

MAFG-DT-BLCA (DFS)

Kaplan–Meier survival curve for MAFG-DT RNA expression in BLCA: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes MAFG-DT tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16. The strongest signals are observed in COAD for RNA.
MAFG-DT data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot16COAD (12)view →
This table ranks reproducible tumor–normal expression differences for MAFG-DT. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MAFG-DT shows lower tumor expression in KIRC and KICH and higher tumor expression in COAD, BLCA, LUAD and LIHC. The COAD box plot shows higher MAFG-DT RNA expression in tumor versus normal tissue (log2 FC = +2.739, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
COADMaleIV+2.739<.00112view →
BLCAAllAll+1.550<.00111view →
LUADFemaleIII,IV+1.334<.00111view →
KIRCFemaleIII,IV−0.813<.00110view →
LIHCMaleII,III,IV+2.238<.0019view →
KICHFemaleII,III,IV−1.622<.0018view →
Green = repressed in tumor. all 16 lineages →

MAFG-DT-COAD

Tumor-vs-normal expression box plot for MAFG-DT in COAD.

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Cross-omics associations

This table shows molecular features associated with MAFG-DT in patient tissues and cancer cell lines. In patient samples, MAFG-DT shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
Protein (mass-spec)17,846LSCC (8646)view →
RNA17,074ACC (6479)view →