GKAP1

associated omics data
G kinase anchoring protein 1Genealiases: FKSG21 · GKAP42

Q-omics provides the consensus-scored GKAP1 profile across patient tissues and cancer cell-line models. GKAP1 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, GKAP1 is differentially expressed in 13, with the highest sampling consensus in THCA. Additionally, GKAP1 RNA expression shows 20,885 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight LIHC, THCA, and UVM as cancer lineages where GKAP1 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 GKAP1 survival associations across molecular data types. GKAP1 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (6) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
GKAP1 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier24LIHC (65)view →
MutationKaplan–Meier6HNSC (39)view →
Protein (mass-spec)Kaplan–Meier4GBM (12)view →
This table ranks reproducible GKAP1 RNA expression–survival associations across cancer types. High GKAP1 expression shows unfavorable associations in LIHC and SCLC, but favorable associations in PAAD, KIRC, READ and SKCM. The LIHC 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 LIHC as the clearest survival context for GKAP1 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
LIHCDFSMedianAll0.4650.617<.00165view →
PAADDFSQuartileAll0.5070.157<.00142view →
KIRCOSMedianAll0.6910.571.00140view →
READOSMedianII,III,IV1.0000.844.00635view →
SKCMOSQuartileAll0.3710.267.00231view →
SCLCDFSMedianIV0.1370.559.00823view →
Pink = unfavorable, green = favorable. all 24 lineages →

GKAP1-LIHC (DFS)

Kaplan–Meier survival curve for GKAP1 RNA expression in LIHC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes GKAP1 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 5. The strongest signals are observed in THCA for RNA and CCRCC for protein.
GKAP1 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot13THCA (10)view →
Protein (mass-spec)Box plot5CCRCC (12)view →
This table ranks reproducible tumor–normal expression differences for GKAP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GKAP1 shows lower tumor expression in THCA, BLCA, KICH, HNSC and BRCA and higher tumor expression in LIHC. The THCA box plot shows higher GKAP1 RNA expression in normal versus tumor tissue (log2 FC = −0.956, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
THCAMaleIV−0.956<.00110view →
LIHCMaleII,III,IV+0.778<.0019view →
BLCAMaleIV−2.177.0028view →
KICHAllAll−0.582<.0018view →
HNSCAllAll−0.582<.0016view →
BRCAFemaleAll−0.381<.0016view →
Green = repressed in tumor. all 13 lineages →

GKAP1-THCA

Tumor-vs-normal expression box plot for GKAP1 in THCA.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with GKAP1 in patient tissues and cancer cell lines. In patient samples, GKAP1 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, GKAP1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUAD and LARGE_INTESTINE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA20,885UVM (7898)view →
Protein (mass-spec)20,683GBM (6040)view →
Protein (mass-spec)
Protein (mass-spec)14,527GBM (3599)view →
RNA12,362GBM (5277)view →
Mutation
RNA3,524UCEC (3360)view →
Protein (RPPA)25UCEC (25)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,683BLOOD_Leukemia (133)view →
RNA1,458LUNG_NSCLC_LUAD (321)view →
RNA
RNA12,030BLOOD_Leukemia (5951)view →
Function (RNA)5,456BLOOD_Leukemia (1989)view →
Mutation
Mutation3,271LARGE_INTESTINE (3271)view →
RNA1LARGE_INTESTINE (1)view →
shRNA
RNA1,810BLOOD_Leukemia (664)view →
shRNA1,459BLOOD_Leukemia (197)view →