NPAP1P6

associated omics data
nuclear pore associated protein 1 pseudogene 6Genealiases: []

Q-omics provides the consensus-scored NPAP1P6 profile across patient tissues and cancer cell-line models. NPAP1P6 expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, NPAP1P6 is differentially expressed in 1, with the highest sampling consensus in LUAD. Additionally, NPAP1P6 RNA expression shows 8,575 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight HNSC, LUAD, and LSCC as cancer lineages where NPAP1P6 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 NPAP1P6 survival associations across molecular data types. NPAP1P6 RNA expression shows survival associations in the most cancer types (16). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
NPAP1P6 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier16HNSC (75)view →
This table ranks reproducible NPAP1P6 RNA expression–survival associations across cancer types. High NPAP1P6 expression shows unfavorable associations in KICH, READ, COAD, BLCA and MESO, but favorable associations in HNSC. The HNSC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .002). Together, the overview and detailed table identify HNSC as the clearest survival context for NPAP1P6 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
HNSCOSTertileII,III,IV0.6340.310.00275view →
KICHOSTertileII,III,IV0.0700.828<.00163view →
READOSTertileAll0.1980.829.00154view →
COADOSTertileIV0.1540.666<.00154view →
BLCADFSTertileAll0.3110.518.00245view →
MESODFSTertileAll0.1330.368.03127view →
Pink = unfavorable, green = favorable. all 16 lineages →

NPAP1P6-HNSC (OS)

Kaplan–Meier survival curve for NPAP1P6 RNA expression in HNSC: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes NPAP1P6 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in LUAD for RNA.
NPAP1P6 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot1LUAD (2)view →
This table ranks reproducible tumor–normal expression differences for NPAP1P6. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NPAP1P6 shows higher tumor expression in LUAD. The LUAD box plot shows higher NPAP1P6 RNA expression in tumor versus normal tissue (log2 FC = +0.011, t-test p = .013).
LineageGenderStageFold-changepSampling consensus
LUADAllAll+0.011.0132view →
Green = repressed in tumor. all 1 lineages →

NPAP1P6-LUAD

Tumor-vs-normal expression box plot for NPAP1P6 in LUAD.

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Cross-omics associations

This table shows molecular features associated with NPAP1P6 in patient tissues and cancer cell lines. In patient samples, NPAP1P6 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
Protein (mass-spec)8,575LSCC (6924)view →
Function (RNA)6,330STAD (5844)view →