GIMAP1-GIMAP5

associated omics data
GIMAP1-GIMAP5 readthroughGenealiases: []

Q-omics provides the consensus-scored GIMAP1-GIMAP5 profile across patient tissues and cancer cell-line models. GIMAP1-GIMAP5 expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in LUSC. Among the 18 cancer types available for tumor–normal comparison, GIMAP1-GIMAP5 is differentially expressed in 5, with the highest sampling consensus in LUAD. Additionally, GIMAP1-GIMAP5 RNA expression shows 5,451 significant gene co-expression associations, with the highest sampling consensus in SCLC. Together, these results highlight LUSC, LUAD, and SCLC as cancer lineages where GIMAP1-GIMAP5 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 GIMAP1-GIMAP5 survival associations across molecular data types. GIMAP1-GIMAP5 RNA expression shows survival associations in the most cancer types (16), followed by mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
GIMAP1-GIMAP5 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier16LUSC (51)view →
Protein (mass-spec)Kaplan–Meier2CCRCC (2)view →
This table ranks reproducible GIMAP1-GIMAP5 RNA expression–survival associations across cancer types. High GIMAP1-GIMAP5 expression shows unfavorable associations in LUSC, STAD, LAML, KIRP and DLBC, but favorable associations in KIRC. The LUSC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .011). Together, the overview and detailed table identify LUSC as the clearest survival context for GIMAP1-GIMAP5 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
LUSCOSTertileAll0.2470.531.01151view →
KIRCDFSTertileIII,IV0.7920.381.01036view →
STADDFSTertileIV0.0680.480<.00136view →
LAMLDFSTertileAll0.3340.591.00836view →
KIRPDFSTertileAll0.2020.628<.00130view →
DLBCDFSTertileIV0.1281.000.01728view →
Pink = unfavorable, green = favorable. all 16 lineages →

GIMAP1-GIMAP5-LUSC (OS)

Kaplan–Meier survival curve for GIMAP1-GIMAP5 RNA expression in LUSC: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes GIMAP1-GIMAP5 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5, while mass-spec protein shows differences in 3. The strongest signals are observed in LUAD for RNA and LSCC for protein.
GIMAP1-GIMAP5 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot5LUAD (6)view →
Protein (mass-spec)Box plot3LSCC (7)view →
This table ranks reproducible tumor–normal expression differences for GIMAP1-GIMAP5. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GIMAP1-GIMAP5 shows lower tumor expression in LUAD, LUSC, BRCA, KICH and THCA. The LUAD box plot shows higher GIMAP1-GIMAP5 RNA expression in normal versus tumor tissue (log2 FC = −0.020, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
LUADAllAll−0.020<.0016view →
LUSCFemaleAll−0.045<.0015view →
BRCAAllAll−0.011<.0014view →
KICHAllAll−0.016.0082view →
THCAAllAll−0.006.0172view →
Green = repressed in tumor. all 5 lineages →

GIMAP1-GIMAP5-LUAD

Tumor-vs-normal expression box plot for GIMAP1-GIMAP5 in LUAD.

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Cross-omics associations

This table shows molecular features associated with GIMAP1-GIMAP5 in patient tissues and cancer cell lines. In patient samples, GIMAP1-GIMAP5 shows the broadest associations at the RNA and protein expression levels, with SCLC recurring as the lineage with the largest associated feature set. In cancer cell lines, GIMAP1-GIMAP5 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in SKIN.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA5,451SCLC (2455)view →
Function (RNA)4,348SCLC (2019)view →
Protein (mass-spec)
Protein (mass-spec)2,190LSCC (1107)view →
RNA1,485LSCC (810)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
shRNA
shRNA1,773CNS (219)view →
RNA1,525SKIN (457)view →