OGG1

associated omics data
8-oxoguanine DNA glycosylaseGenealiases: HMMH · HOGG1 · MUTM · OGH1

Q-omics provides the consensus-scored OGG1 profile across patient tissues and cancer cell-line models. OGG1 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, OGG1 is differentially expressed in 11, with the highest sampling consensus in COAD. Additionally, OGG1 RNA expression shows 19,516 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRP, COAD, and ACC as cancer lineages where OGG1 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 OGG1 survival associations across molecular data types. OGG1 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (9) and mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
OGG1 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier25KIRP (157)view →
MutationKaplan–Meier9OV (30)view →
Protein (mass-spec)Kaplan–Meier2LUAD (36)view →
This table ranks reproducible OGG1 RNA expression–survival associations across cancer types. High OGG1 expression shows unfavorable associations in KICH, LIHC, OV, ACC and MESO, but favorable associations in KIRP. The KIRP 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 KIRP as the clearest survival context for OGG1 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRPDFSTertileII,III,IV0.7770.247<.001157view →
KICHDFSMedianAll0.6730.978<.001110view →
LIHCOSTertileAll0.5360.782<.001103view →
OVOSQuartileIII,IV0.2460.414.00366view →
ACCDFSQuartileAll0.1240.702<.00148view →
MESODFSTertileII,III,IV0.3180.705.01239view →
Pink = unfavorable, green = favorable. all 25 lineages →

OGG1-KIRP (DFS)

Kaplan–Meier survival curve for OGG1 RNA expression in KIRP: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes OGG1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 3. The strongest signals are observed in COAD for RNA and LUAD for protein.
OGG1 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot11COAD (10)view →
Protein (mass-spec)Box plot3LUAD (7)view →
This table ranks reproducible tumor–normal expression differences for OGG1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. OGG1 shows lower tumor expression in KICH and KIRC and higher tumor expression in COAD, LIHC, HNSC and CHOL. The COAD box plot shows higher OGG1 RNA expression in tumor versus normal tissue (log2 FC = +0.358, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
COADAllAll+0.358<.00110view →
LIHCMaleAll+1.290<.0019view →
KICHFemaleAll−1.496<.0018view →
HNSCMaleIII,IV+0.476<.0018view →
KIRCMaleAll−0.398<.0016view →
CHOLAllAll+0.787<.0013view →
Green = repressed in tumor. all 11 lineages →

OGG1-COAD

Tumor-vs-normal expression box plot for OGG1 in COAD.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with OGG1 in patient tissues and cancer cell lines. In patient samples, OGG1 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, OGG1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LIVER, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and BLOOD_Lymphoma.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA19,516ACC (8059)view →
Protein (mass-spec)15,113GBM (4965)view →
Mutation
RNA2,800UCEC (2640)view →
Protein (RPPA)27UCEC (27)view →
Protein (mass-spec)
Protein (mass-spec)2,492BRCA (777)view →
RNA1,256GBM (522)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
RNA3,164LIVER (871)view →
CRISPR2,111LIVER (162)view →
RNA
RNA12,178SOFT_TISSUE (4508)view →
Function (RNA)4,861BLOOD_Lymphoma (1796)view →
Mutation
Mutation2,923BLOOD_Leukemia (2883)view →
shRNA
shRNA1,961LUNG_NSCLC_LUAD (245)view →
RNA1,552LIVER (441)view →