GORASP1

associated omics data
golgi reassembly stacking protein 1Genealiases: GOLPH5 · GRASP65 · P65

Q-omics provides the consensus-scored GORASP1 profile across patient tissues and cancer cell-line models. GORASP1 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, GORASP1 is differentially expressed in 12, with the highest sampling consensus in KIRC. Additionally, GORASP1 RNA expression shows 20,624 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight UCEC, KIRC, and ACC as cancer lineages where GORASP1 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 GORASP1 survival associations across molecular data types. GORASP1 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (2) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
GORASP1 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier24UCEC (78)view →
Protein (mass-spec)Kaplan–Meier4LSCC (33)view →
MutationKaplan–Meier2UCEC (16)view →
This table ranks reproducible GORASP1 RNA expression–survival associations across cancer types. High GORASP1 expression shows unfavorable associations in LIHC and KICH, but favorable associations in UCEC, UVM, UCS and KIRP. The UCEC 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 UCEC as the clearest survival context for GORASP1 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
UCECDFSMedianIII,IV0.7450.409<.00178view →
UVMDFSTertileII,III,IV0.9060.615.00748view →
LIHCDFSTertileAll0.4450.631<.00140view →
UCSDFSMedianIV0.9520.367.00136view →
KIRPDFSQuartileAll0.9680.825.00233view →
KICHDFSQuartileAll0.6321.000.00533view →
Pink = unfavorable, green = favorable. all 24 lineages →

GORASP1-UCEC (DFS)

Kaplan–Meier survival curve for GORASP1 RNA expression in UCEC: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes GORASP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 8. The strongest signals are observed in KIRC for RNA and COAD for protein.
GORASP1 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot12KIRC (12)view →
Protein (mass-spec)Box plot8COAD (9)view →
This table ranks reproducible tumor–normal expression differences for GORASP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GORASP1 shows lower tumor expression in KIRC, THCA, LUAD and LUSC and higher tumor expression in LIHC and STAD. The KIRC box plot shows higher GORASP1 RNA expression in normal versus tumor tissue (log2 FC = −0.845, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KIRCMaleII,III,IV−0.845<.00112view →
THCAMaleIII,IV−0.734<.00110view →
LUADAllIII,IV−0.489<.0019view →
LIHCAllII,III,IV+0.595<.0018view →
LUSCFemaleII,III,IV−0.965<.0016view →
STADAllII,III,IV+0.535<.0016view →
Green = repressed in tumor. all 12 lineages →

GORASP1-KIRC

Tumor-vs-normal expression box plot for GORASP1 in KIRC.

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Cross-omics associations

This table shows molecular features associated with GORASP1 in patient tissues and cancer cell lines. In patient samples, GORASP1 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, GORASP1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and CNS.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA20,624ACC (9575)view →
Protein (mass-spec)12,325BRCA (4120)view →
Protein (mass-spec)
Protein (mass-spec)20,145GBM (5029)view →
RNA8,943LUAD (2577)view →
Mutation
RNA263UCEC (246)view →
Protein (RPPA)13UCEC (13)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR2,044SOFT_TISSUE (155)view →
RNA1,341SOFT_TISSUE (218)view →
RNA
RNA11,743UPPER_AERODIGESTIVE_TRACT (5769)view →
Function (RNA)4,430CNS (1096)view →
Mutation
Mutation3,909LARGE_INTESTINE (3063)view →
RNA11SKIN (7)view →
shRNA
RNA1,235LUNG_SCLC (321)view →
shRNA1,174BONE (182)view →