COPRS

associated omics data
coordinator of PRMT5 and differentiation stimulatorGenealiases: C17orf79 · COPR5 · HSA272196 · TTP1

Q-omics provides the consensus-scored COPRS profile across patient tissues and cancer cell-line models. COPRS expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, COPRS is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, COPRS RNA expression shows 17,181 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight MESO, HNSC, and ACC as cancer lineages where COPRS 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 COPRS survival associations across molecular data types. COPRS RNA expression shows survival associations in the most cancer types (26), 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.
COPRS data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier26MESO (76)view →
Protein (mass-spec)Kaplan–Meier7UCEC (16)view →
MutationKaplan–Meier2LIHC (6)view →
This table ranks reproducible COPRS RNA expression–survival associations across cancer types. High COPRS expression shows unfavorable associations in MESO, LIHC, HNSC, BLCA, ACC and KICH. The MESO 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 MESO as the clearest survival context for COPRS RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
MESOOSTertileIII,IV0.3910.745<.00176view →
LIHCDFSMedianAll0.3450.525<.00175view →
HNSCDFSTertileAll0.6290.757.00259view →
BLCAOSTertileAll0.5660.712.00158view →
ACCDFSMedianAll0.2820.653.00147view →
KICHDFSQuartileAll0.6011.000.00240view →
Pink = unfavorable, green = favorable. all 26 lineages →

COPRS-MESO (OS)

Kaplan–Meier survival curve for COPRS RNA expression in MESO: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes COPRS tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 6. The strongest signals are observed in HNSC for RNA and HNSC for protein.
COPRS data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot13HNSC (10)view →
Protein (mass-spec)Box plot6HNSC (8)view →
This table ranks reproducible tumor–normal expression differences for COPRS. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. COPRS shows lower tumor expression in THCA and higher tumor expression in HNSC, COAD, KICH, LIHC and KIRP. The HNSC box plot shows higher COPRS RNA expression in tumor versus normal tissue (log2 FC = +1.106, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
HNSCMaleIII,IV+1.106<.00110view →
COADFemaleII,III,IV+0.992<.00110view →
KICHAllII,III,IV+0.636<.00110view →
LIHCMaleII,III,IV+0.775<.0019view →
KIRPAllII,III,IV+0.336.0177view →
THCAAllAll−0.402<.0015view →
Green = repressed in tumor. all 13 lineages →

COPRS-HNSC

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

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with COPRS in patient tissues and cancer cell lines. In patient samples, COPRS 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, COPRS 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_Myeloma and SOFT_TISSUE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA17,181ACC (5701)view →
Protein (mass-spec)14,827LSCC (8164)view →
Protein (mass-spec)
Protein (mass-spec)13,908LUAD (2941)view →
RNA10,074UCEC (2712)view →
Mutation
RNA763UCEC (760)view →
Protein (RPPA)12UCEC (12)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,978BONE (160)view →
RNA1,148BLOOD_Myeloma (205)view →
RNA
RNA10,892BONE (2601)view →
Function (RNA)4,886BONE (1233)view →
Protein (mass-spec)
RNA344SOFT_TISSUE (98)view →
Function (RNA)258SOFT_TISSUE (67)view →