ARPIN-AP3S2

associated omics data
Gene

Q-omics provides the consensus-scored ARPIN-AP3S2 profile across patient tissues and cancer cell-line models. ARPIN-AP3S2 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, ARPIN-AP3S2 is differentially expressed in 7, with the highest sampling consensus in COAD. Additionally, ARPIN-AP3S2 RNA expression shows 18,976 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight ACC, COAD, and THYM as cancer lineages where ARPIN-AP3S2 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 ARPIN-AP3S2 survival associations across molecular data types. ARPIN-AP3S2 RNA expression shows survival associations in the most cancer types (23). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
ARPIN-AP3S2 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier23ACC (88)view →
This table ranks reproducible ARPIN-AP3S2 RNA expression–survival associations across cancer types. High ARPIN-AP3S2 expression shows unfavorable associations in ACC and UVM, but favorable associations in KIRC, SCLC, UCS and KIRP. The ACC 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 ACC as the clearest survival context for ARPIN-AP3S2 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ACCDFSMedianAll0.3900.755<.00188view →
KIRCDFSMedianIV0.6310.281.00238view →
SCLCDFSTertileAll0.6560.368.00225view →
UCSDFSTertileIV0.9750.401.02424view →
UVMDFSMedianAll0.4240.739<.00119view →
KIRPDFSMedianAll0.9000.809.01319view →
Pink = unfavorable, green = favorable. all 23 lineages →

ARPIN-AP3S2-ACC (DFS)

Kaplan–Meier survival curve for ARPIN-AP3S2 RNA expression in ACC: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes ARPIN-AP3S2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in COAD for RNA.
ARPIN-AP3S2 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot7COAD (11)view →
This table ranks reproducible tumor–normal expression differences for ARPIN-AP3S2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ARPIN-AP3S2 shows lower tumor expression in COAD, KICH, READ and LUSC and higher tumor expression in LIHC and BRCA. The COAD box plot shows higher ARPIN-AP3S2 RNA expression in normal versus tumor tissue (log2 FC = −0.533, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
COADFemaleIII,IV−0.533<.00111view →
KICHFemaleAll−0.239<.0017view →
LIHCAllAll+0.118<.0014view →
READFemaleAll−0.438.0022view →
LUSCAllAll−0.096.0192view →
BRCAAllAll+0.059.0432view →
Green = repressed in tumor. all 7 lineages →

ARPIN-AP3S2-COAD

Tumor-vs-normal expression box plot for ARPIN-AP3S2 in COAD.

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Cross-omics associations

This table shows molecular features associated with ARPIN-AP3S2 in patient tissues and cancer cell lines. In patient samples, ARPIN-AP3S2 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, ARPIN-AP3S2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and OVARY.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA18,976THYM (8060)view →
Function (RNA)7,155PRAD (4547)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
Mutation
Mutation2,132LARGE_INTESTINE (1983)view →
RNA7BLOOD_Leukemia (4)view →
shRNA
RNA1,888LARGE_INTESTINE (460)view →
shRNA1,612OVARY (151)view →