NIPAL3

associated omics data
NIPA like domain containing 3Genealiases: DJ462O23.2 · NPAL3 · SLC57A5

Q-omics provides the consensus-scored NIPAL3 profile across patient tissues and cancer cell-line models. NIPAL3 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, NIPAL3 is differentially expressed in 11, with the highest sampling consensus in LUAD. Additionally, NIPAL3 RNA expression shows 19,994 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, LUAD, and ACC as cancer lineages where NIPAL3 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 NIPAL3 survival associations across molecular data types. NIPAL3 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (4) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
NIPAL3 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier27KIRC (138)view →
MutationKaplan–Meier4ACC (36)view →
Protein (mass-spec)Kaplan–Meier4PDAC (14)view →
This table ranks reproducible NIPAL3 RNA expression–survival associations across cancer types. High NIPAL3 expression shows unfavorable associations in LGG and HNSC, but favorable associations in KIRC, THCA, SKCM and LUAD. The KIRC 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 KIRC as the clearest survival context for NIPAL3 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRCOSMedianAll0.7680.519<.001138view →
THCAOSMedianIII,IV0.9590.732<.00141view →
LGGOSMedianAll0.3830.502<.00141view →
SKCMOSQuartileAll0.8370.686<.00136view →
HNSCOSQuartileAll0.6680.856.00727view →
LUADDFSMedianIII,IV0.6420.345.00821view →
Pink = unfavorable, green = favorable. all 27 lineages →

NIPAL3-KIRC (OS)

Kaplan–Meier survival curve for NIPAL3 RNA expression in KIRC: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes NIPAL3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 4. The strongest signals are observed in LUAD for RNA and LSCC for protein.
NIPAL3 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot11LUAD (8)view →
Protein (mass-spec)Box plot4LSCC (6)view →
This table ranks reproducible tumor–normal expression differences for NIPAL3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NIPAL3 shows lower tumor expression in LUAD, KICH, LUSC and KIRC and higher tumor expression in LIHC and CHOL. The LUAD box plot shows higher NIPAL3 RNA expression in normal versus tumor tissue (log2 FC = −0.740, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
LUADAllII,III,IV−0.740<.0018view →
KICHMaleAll−1.539<.0017view →
LIHCFemaleII,III,IV+1.005<.0017view →
CHOLMaleAll+2.178<.0015view →
LUSCMaleAll−0.550<.0015view →
KIRCAllII,III,IV−0.493.0025view →
Green = repressed in tumor. all 11 lineages →

NIPAL3-LUAD

Tumor-vs-normal expression box plot for NIPAL3 in LUAD.

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Cross-omics associations

This table shows molecular features associated with NIPAL3 in patient tissues and cancer cell lines. In patient samples, NIPAL3 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, NIPAL3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and SOFT_TISSUE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA19,994ACC (9059)view →
Protein (mass-spec)16,201LUAD (7496)view →
Protein (mass-spec)
Protein (mass-spec)11,577GBM (3270)view →
RNA5,991LUAD (2113)view →
Mutation
RNA1,076UCEC (959)view →
Protein (RPPA)27UCEC (27)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR2,053LUNG_NSCLC_LUAD (201)view →
RNA1,448BLOOD_Leukemia (367)view →
RNA
RNA11,291BLOOD_Leukemia (3673)view →
Function (RNA)4,915SOFT_TISSUE (1710)view →
shRNA
shRNA1,324SOFT_TISSUE (313)view →
RNA1,077SOFT_TISSUE (303)view →
Mutation
Mutation722BLOOD_Leukemia (722)view →
RNA14BLOOD_Leukemia (14)view →