COPG1

associated omics data
coat protein complex I subunit gamma 1Genealiases: COPG · IMD128

Q-omics provides the consensus-scored COPG1 profile across patient tissues and cancer cell-line models. COPG1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, COPG1 is differentially expressed in 15, with the highest sampling consensus in HNSC. Additionally, COPG1 protein abundance shows 27,772 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KICH, HNSC, and GBM as cancer lineages where COPG1 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 COPG1 survival associations across molecular data types. COPG1 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (2) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
COPG1 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier22KICH (105)view →
Protein (mass-spec)Kaplan–Meier7LSCC (39)view →
MutationKaplan–Meier2PRAD (6)view →
This table ranks reproducible COPG1 RNA expression–survival associations across cancer types. High COPG1 expression shows unfavorable associations in KICH, ACC, LIHC, LUSC, HNSC and COAD. The KICH 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 KICH as the clearest survival context for COPG1 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KICHDFSMedianIII,IV0.2460.942<.001105view →
ACCDFSTertileAll0.3090.731<.00162view →
LIHCOSTertileAll0.5540.744<.00149view →
LUSCDFSMedianIII,IV0.2160.539<.00145view →
HNSCOSMedianAll0.2830.492.00239view →
COADDFSQuartileAll0.3210.594<.00135view →
Pink = unfavorable, green = favorable. all 22 lineages →

COPG1-KICH (DFS)

Kaplan–Meier survival curve for COPG1 RNA expression in KICH: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes COPG1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15, while mass-spec protein shows differences in 7. The strongest signals are observed in HNSC for RNA and LUAD for protein.
COPG1 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot15HNSC (12)view →
Protein (mass-spec)Box plot7LUAD (9)view →
This table ranks reproducible tumor–normal expression differences for COPG1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. COPG1 shows higher tumor expression in HNSC, BLCA, KIRC, LIHC, LUAD and STAD. The HNSC box plot shows higher COPG1 RNA expression in tumor versus normal tissue (log2 FC = +1.004, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
HNSCAllIII,IV+1.004<.00112view →
BLCAMaleIV+1.117<.00111view →
KIRCFemaleIV+0.988<.00111view →
LIHCFemaleII,III,IV+1.099<.0019view →
LUADAllIII,IV+0.877<.0019view →
STADMaleII,III,IV+0.946<.0018view →
Green = repressed in tumor. all 15 lineages →

COPG1-HNSC

Tumor-vs-normal expression box plot for COPG1 in HNSC.

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Cross-omics associations

This table shows molecular features associated with COPG1 in patient tissues and cancer cell lines. In patient samples, COPG1 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, COPG1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and BONE.
Associated data typeStrength (# associated data)Lineage of highest associated data
Protein (mass-spec)
Protein (mass-spec)27,772GBM (9626)view →
RNA19,510LSCC (11098)view →
RNA
RNA19,103ACC (10287)view →
Protein (mass-spec)10,864GBM (2495)view →
Mutation
RNA2,679UCEC (2382)view →
Protein (RPPA)24COAD (16)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,869LUNG_SCLC (218)view →
RNA1,596LUNG_SCLC (226)view →
RNA
RNA11,987UPPER_AERODIGESTIVE_TRACT (5312)view →
Function (RNA)5,074BONE (1725)view →
Protein (mass-spec)
RNA3,292PANCREAS (926)view →
Function (mass-spec)3,275CNS (1195)view →
Mutation
Mutation2,649LARGE_INTESTINE (1556)view →
RNA71UPPER_AERODIGESTIVE_TRACT (40)view →