AGR3

associated omics data
anterior gradient 3, protein disulphide isomerase family memberGenealiases: AG-3 · AG3 · BCMP11 · HAG3 · PDIA18 · hAG-3

Q-omics provides the consensus-scored AGR3 profile across patient tissues and cancer cell-line models. AGR3 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, AGR3 is differentially expressed in 14, with the highest sampling consensus in KIRC. Additionally, AGR3 protein abundance shows 21,994 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRC, and LSCC as cancer lineages where AGR3 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 AGR3 survival associations across molecular data types. AGR3 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (4) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
AGR3 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier22KIRC (142)view →
Protein (mass-spec)Kaplan–Meier7PDAC (36)view →
MutationKaplan–Meier4STAD (24)view →
This table ranks reproducible AGR3 RNA expression–survival associations across cancer types. High AGR3 expression shows unfavorable associations in KIRC, LGG, UVM, ACC and LUSC, but favorable associations in BRCA. The KIRC 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 KIRC as the clearest survival context for AGR3 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRCOSMedianAll0.5340.724<.001142view →
BRCADFSQuartileIII,IV0.8640.646.00161view →
LGGDFSMedianAll0.6320.817<.00153view →
UVMDFSTertileAll0.2860.651.00451view →
ACCOSTertileIII,IV0.3900.821<.00145view →
LUSCDFSQuartileII,III,IV0.2960.568<.00140view →
Pink = unfavorable, green = favorable. all 22 lineages →

AGR3-KIRC (OS)

Kaplan–Meier survival curve for AGR3 RNA expression in KIRC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes AGR3 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 5. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
AGR3 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot14KIRC (12)view →
Protein (mass-spec)Box plot5CCRCC (11)view →
This table ranks reproducible tumor–normal expression differences for AGR3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. AGR3 shows lower tumor expression in KIRC, THCA, COAD, LUAD and LUSC and higher tumor expression in BRCA. The KIRC box plot shows higher AGR3 RNA expression in normal versus tumor tissue (log2 FC = −2.033, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KIRCFemaleIII,IV−2.033<.00112view →
THCAFemaleII,III,IV−3.035<.00111view →
COADFemaleAll−2.341<.0019view →
LUADMaleAll−2.266<.0019view →
LUSCMaleII,III,IV−5.189<.0018view →
BRCAAllIII,IV+2.855<.0018view →
Green = repressed in tumor. all 14 lineages →

AGR3-KIRC

Tumor-vs-normal expression box plot for AGR3 in KIRC.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with AGR3 in patient tissues and cancer cell lines. In patient samples, AGR3 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, AGR3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in STOMACH and LARGE_INTESTINE.
Associated data typeStrength (# associated data)Lineage of highest associated data
Protein (mass-spec)
Protein (mass-spec)21,994LSCC (8669)view →
RNA17,267BRCA (7725)view →
RNA
Protein (mass-spec)19,942LSCC (7934)view →
RNA13,601TGCT (5236)view →
Mutation
RNA110UCEC (47)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,965BLOOD_Leukemia (201)view →
RNA1,443BLOOD_Leukemia (315)view →
RNA
RNA6,668STOMACH (1878)view →
Function (RNA)3,264LARGE_INTESTINE (1058)view →
shRNA
shRNA1,071SOFT_TISSUE (172)view →
RNA967SOFT_TISSUE (309)view →
Protein (mass-spec)
RNA530LUNG_SCLC (144)view →
Function (RNA)375BREAST (106)view →