B4GALT4

associated omics data
beta-1,4-galactosyltransferase 4Genealiases: B4Gal-T4 · beta4Gal-T4

Q-omics provides the consensus-scored B4GALT4 profile across patient tissues and cancer cell-line models. B4GALT4 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, B4GALT4 is differentially expressed in 16, with the highest sampling consensus in BLCA. Additionally, B4GALT4 RNA expression shows 20,104 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight UCEC, BLCA, and ACC as cancer lineages where B4GALT4 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 B4GALT4 survival associations across molecular data types. B4GALT4 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (6) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
B4GALT4 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier24UCEC (74)view →
MutationKaplan–Meier6BRCA (14)view →
Protein (mass-spec)Kaplan–Meier6LUAD (11)view →
This table ranks reproducible B4GALT4 RNA expression–survival associations across cancer types. High B4GALT4 expression shows unfavorable associations in KICH, LIHC, LGG, ACC and LUAD, but favorable associations in UCEC. The UCEC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .002). Together, the overview and detailed table identify UCEC as the clearest survival context for B4GALT4 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
UCECDFSQuartileIII,IV0.7430.412.00274view →
KICHDFSMedianII,III,IV0.5430.958<.00173view →
LIHCOSMedianAll0.7050.843<.00161view →
LGGDFSMedianAll0.6540.817<.00154view →
ACCDFSMedianAll0.2810.627<.00141view →
LUADDFSMedianAll0.2400.451<.00138view →
Pink = unfavorable, green = favorable. all 24 lineages →

B4GALT4-UCEC (DFS)

Kaplan–Meier survival curve for B4GALT4 RNA expression in UCEC: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes B4GALT4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16, while mass-spec protein shows differences in 5. The strongest signals are observed in LIHC for RNA and LUAD for protein.
B4GALT4 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot16LIHC (9)view →
Protein (mass-spec)Box plot5LUAD (9)view →
This table ranks reproducible tumor–normal expression differences for B4GALT4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. B4GALT4 shows higher tumor expression in BLCA, LUAD, LIHC, LUSC, HNSC and BRCA. The BLCA box plot shows higher B4GALT4 RNA expression in tumor versus normal tissue (log2 FC = +1.433, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
BLCAAllIII,IV+1.433<.0019view →
LUADMaleIII,IV+1.161<.0019view →
LIHCAllII,III,IV+0.744<.0019view →
LUSCFemaleAll+1.772<.0018view →
HNSCMaleIII,IV+1.719<.0018view →
BRCAAllIII,IV+0.646<.0018view →
Green = repressed in tumor. all 16 lineages →

B4GALT4-BLCA

Tumor-vs-normal expression box plot for B4GALT4 in BLCA.

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Cross-omics associations

This table shows molecular features associated with B4GALT4 in patient tissues and cancer cell lines. In patient samples, B4GALT4 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, B4GALT4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in PANCREAS and BONE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA20,104ACC (9707)view →
Protein (mass-spec)13,642LSCC (5634)view →
Protein (mass-spec)
Protein (mass-spec)20,065LSCC (3607)view →
RNA11,778LSCC (4273)view →
Mutation
RNA2,984UCEC (2818)view →
Protein (RPPA)28UCEC (28)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,945OVARY (158)view →
RNA1,589PANCREAS (199)view →
RNA
RNA10,483BONE (4157)view →
Function (RNA)5,042BONE (2565)view →
shRNA
shRNA1,386CNS (145)view →
CRISPR1,324LUNG_NSCLC_LUAD (128)view →
Protein (mass-spec)
RNA768LUNG_SCLC (233)view →
Function (RNA)443LUNG_SCLC (171)view →