BAG3

associated omics data
BAG cochaperone 3Genealiases: BAG-3 · BIS · CAIR-1 · CMD1HH · CMT2JJ · HMND15

Q-omics provides the consensus-scored BAG3 profile across patient tissues and cancer cell-line models. BAG3 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, BAG3 is differentially expressed in 14, with the highest sampling consensus in LIHC. Additionally, BAG3 protein abundance shows 26,121 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRC, LIHC, and GBM as cancer lineages where BAG3 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 BAG3 survival associations across molecular data types. BAG3 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (3) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
BAG3 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier23KIRC (59)view →
Protein (mass-spec)Kaplan–Meier5CCRCC (16)view →
MutationKaplan–Meier3LUAD (24)view →
This table ranks reproducible BAG3 RNA expression–survival associations across cancer types. High BAG3 expression shows unfavorable associations in LIHC, HNSC, BLCA, UVM and LAML, but favorable associations in KIRC. 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 BAG3 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRCOSMedianAll0.7110.541<.00159view →
LIHCDFSMedianAll0.3460.523<.00157view →
HNSCOSQuartileAll0.5330.854.00455view →
BLCADFSQuartileAll0.4510.801.00144view →
UVMDFSTertileAll0.2660.906.01139view →
LAMLDFSTertileAll0.3930.683<.00136view →
Pink = unfavorable, green = favorable. all 23 lineages →

BAG3-KIRC (OS)

Kaplan–Meier survival curve for BAG3 RNA expression in KIRC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes BAG3 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 7. The strongest signals are observed in LIHC for RNA and COAD for protein.
BAG3 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot14LIHC (8)view →
Protein (mass-spec)Box plot7COAD (9)view →
This table ranks reproducible tumor–normal expression differences for BAG3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. BAG3 shows lower tumor expression in BLCA, KICH and KIRP and higher tumor expression in LIHC, CHOL and THCA. The LIHC box plot shows higher BAG3 RNA expression in tumor versus normal tissue (log2 FC = +1.169, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
LIHCMaleII,III,IV+1.169<.0018view →
BLCAAllAll−1.077<.0018view →
KICHAllAll−0.869<.0018view →
KIRPMaleAll−0.676<.0016view →
CHOLMaleAll+2.028<.0014view →
THCAMaleAll+0.895<.0014view →
Green = repressed in tumor. all 14 lineages →

BAG3-LIHC

Tumor-vs-normal expression box plot for BAG3 in LIHC.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with BAG3 in patient tissues and cancer cell lines. In patient samples, BAG3 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, BAG3 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 PANCREAS and BLOOD_Lymphoma.
Associated data typeStrength (# associated data)Lineage of highest associated data
Protein (mass-spec)
Protein (mass-spec)26,121GBM (7590)view →
RNA12,974COAD (2658)view →
RNA
RNA19,661THYM (7312)view →
Protein (mass-spec)15,434GBM (5373)view →
Mutation
RNA1,063UCEC (955)view →
Protein (RPPA)27UCEC (27)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,845SOFT_TISSUE (151)view →
RNA1,261PANCREAS (142)view →
RNA
RNA11,240BLOOD_Lymphoma (3153)view →
Function (RNA)5,420BONE (1513)view →
Mutation
Mutation4,995LARGE_INTESTINE (4126)view →
RNA13LARGE_INTESTINE (6)view →
Protein (mass-spec)
Protein (mass-spec)2,234CNS (1305)view →
Function (mass-spec)2,169CNS (970)view →