IER5

associated omics data
Gene

Q-omics provides the consensus-scored IER5 profile across patient tissues and cancer cell-line models. IER5 expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, IER5 is differentially expressed in 14, with the highest sampling consensus in THCA. Additionally, IER5 RNA expression shows 18,123 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRP, THCA, and UVM as cancer lineages where IER5 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 IER5 survival associations across molecular data types. IER5 RNA expression shows survival associations in the most cancer types (28), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
IER5 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier28KIRP (67)view →
MutationKaplan–Meier4LUAD (12)view →
This table ranks reproducible IER5 RNA expression–survival associations across cancer types. High IER5 expression shows unfavorable associations in KIRP, LGG, LIHC, LUSC and READ, but favorable associations in UCEC. The KIRP 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 KIRP as the clearest survival context for IER5 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRPDFSTertileAll0.3440.874<.00167view →
LGGOSMedianAll0.3440.566<.00149view →
UCECOSMedianIII,IV0.8930.761.00542view →
LIHCDFSTertileAll0.4250.595<.00140view →
LUSCOSTertileAll0.6830.792.00235view →
READDFSQuartileAll0.7370.936.00734view →
Pink = unfavorable, green = favorable. all 28 lineages →

IER5-KIRP (DFS)

Kaplan–Meier survival curve for IER5 RNA expression in KIRP: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes IER5 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14. The strongest signals are observed in THCA for RNA.
IER5 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot14THCA (11)view →
This table ranks reproducible tumor–normal expression differences for IER5. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. IER5 shows lower tumor expression in BRCA and higher tumor expression in THCA, KIRC, HNSC, LIHC and COAD. The THCA box plot shows higher IER5 RNA expression in tumor versus normal tissue (log2 FC = +1.095, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
THCAMaleIII,IV+1.095<.00111view →
KIRCMaleAll+0.992<.00111view →
HNSCMaleII,III,IV+0.830<.00110view →
LIHCMaleII,III,IV+1.420<.0019view →
COADMaleAll+0.510<.0016view →
BRCAFemaleAll−0.308.0016view →
Green = repressed in tumor. all 14 lineages →

IER5-THCA

Tumor-vs-normal expression box plot for IER5 in THCA.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with IER5 in patient tissues and cancer cell lines. In patient samples, IER5 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, IER5 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Lymphoma, while CRISPR and shRNA rows add functional-dependency signals in BONE and SKIN.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA18,123UVM (5867)view →
Protein (mass-spec)12,686CCRCC (2764)view →
Mutation
RNA594UCEC (552)view →
Infiltrating cells4UCEC (4)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
RNA2,582BLOOD_Lymphoma (1148)view →
CRISPR2,127BONE (200)view →
RNA
RNA6,773BLOOD_Lymphoma (2116)view →
Function (RNA)3,738BLOOD_Lymphoma (1414)view →
shRNA
shRNA1,029SKIN (204)view →
CRISPR935LUNG_NSCLC_LUAD (198)view →
Mutation
Mutation588BLOOD_Leukemia (182)view →
RNA7BLOOD_Leukemia (3)view →