COG3

associated omics data
component of oligomeric golgi complex 3Genealiases: CDG2BB · SEC34

Q-omics provides the consensus-scored COG3 profile across patient tissues and cancer cell-line models. COG3 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, COG3 is differentially expressed in 11, with the highest sampling consensus in KICH. Additionally, COG3 protein abundance shows 22,407 significant protein co-abundance associations, with the highest sampling consensus in PDAC. Together, these results highlight KIRC, KICH, and PDAC as cancer lineages where COG3 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 COG3 survival associations across molecular data types. COG3 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (5) and mass-spec protein abundance (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
COG3 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier26KIRC (104)view →
Protein (mass-spec)Kaplan–Meier10UCEC (26)view →
MutationKaplan–Meier5KIRC (36)view →
This table ranks reproducible COG3 RNA expression–survival associations across cancer types. High COG3 expression shows unfavorable associations in CESC, OV, READ and UVM, but favorable associations in KIRC and UCEC. 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 COG3 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRCDFSQuartileAll0.8780.653<.001104view →
CESCDFSTertileAll0.3670.700<.00172view →
OVOSQuartileAll0.7710.902.00152view →
READDFSMedianAll0.7450.888.00534view →
UVMDFSMedianIII,IV0.2080.740.00629view →
UCECDFSTertileIII,IV0.9010.695.00528view →
Pink = unfavorable, green = favorable. all 26 lineages →

COG3-KIRC (DFS)

Kaplan–Meier survival curve for COG3 RNA expression in KIRC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes COG3 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 7. The strongest signals are observed in THCA for RNA and LUAD for protein.
COG3 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot11THCA (10)view →
Protein (mass-spec)Box plot7LUAD (9)view →
This table ranks reproducible tumor–normal expression differences for COG3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. COG3 shows lower tumor expression in KICH, THCA and UCEC and higher tumor expression in STAD, HNSC and COAD. The KICH box plot shows higher COG3 RNA expression in normal versus tumor tissue (log2 FC = −1.011, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KICHFemaleAll−1.011<.00110view →
THCAMaleIII,IV−0.931<.00110view →
STADAllAll+0.509<.0016view →
UCECAllIV−1.004.0154view →
HNSCFemaleIII,IV+0.748.0174view →
COADMaleAll+0.554<.0014view →
Green = repressed in tumor. all 11 lineages →

COG3-KICH

Tumor-vs-normal expression box plot for COG3 in KICH.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with COG3 in patient tissues and cancer cell lines. In patient samples, COG3 shows the broadest associations at the RNA and protein expression levels, with PDAC recurring as the lineage with the largest associated feature set. In cancer cell lines, COG3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and UPPER_AERODIGESTIVE_TRACT.
Associated data typeStrength (# associated data)Lineage of highest associated data
Protein (mass-spec)
Protein (mass-spec)22,407PDAC (5418)view →
RNA14,380BRCA (4147)view →
RNA
RNA21,154ACC (9411)view →
Protein (mass-spec)12,668BRCA (4863)view →
Protein (RPPA)
Function (RNA)4,519BRCA (3386)view →
Mutation
RNA2,088UCEC (2006)view →
Protein (RPPA)21UCEC (21)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,977BONE (159)view →
RNA1,938BLOOD_Lymphoma (297)view →
RNA
RNA6,927UPPER_AERODIGESTIVE_TRACT (2685)view →
Function (RNA)2,155BLOOD_Lymphoma (361)view →
Mutation
Mutation2,827LARGE_INTESTINE (2116)view →
RNA14BLOOD_Leukemia (8)view →
shRNA
shRNA1,622OVARY (192)view →
CRISPR1,408PANCREAS (139)view →