NPIPB7

associated omics data
nuclear pore complex interacting protein family member B7Genealiases: A-575C2.4 · A-761H5.5 · NPIPL1

Q-omics provides the consensus-scored NPIPB7 profile across patient tissues and cancer cell-line models. NPIPB7 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in SKCM. Among the 18 cancer types available for tumor–normal comparison, NPIPB7 is differentially expressed in 4, with the highest sampling consensus in THCA. Additionally, NPIPB7 RNA expression shows 11,223 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight SKCM, THCA, and TGCT as cancer lineages where NPIPB7 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 NPIPB7 survival associations across molecular data types. NPIPB7 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
NPIPB7 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier22SKCM (45)view →
MutationKaplan–Meier2SKCM (3)view →
This table ranks reproducible NPIPB7 RNA expression–survival associations across cancer types. High NPIPB7 expression shows unfavorable associations in KIRC and CESC, but favorable associations in SKCM, ACC, LUAD and UCS. The SKCM Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .001). Together, the overview and detailed table identify SKCM as the clearest survival context for NPIPB7 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
SKCMOSMedianIV0.8670.225.00145view →
ACCDFSTertileAll0.9230.543.00239view →
KIRCDFSTertileIV0.1750.499.00338view →
LUADDFSMedianIII,IV0.4470.189.00735view →
UCSDFSMedianII,III,IV0.4280.196.01326view →
CESCDFSMedianII,III,IV0.6840.857.00226view →
Pink = unfavorable, green = favorable. all 22 lineages →

NPIPB7-SKCM (OS)

Kaplan–Meier survival curve for NPIPB7 RNA expression in SKCM: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes NPIPB7 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 4. The strongest signals are observed in THCA for RNA.
NPIPB7 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot4THCA (4)view →
This table ranks reproducible tumor–normal expression differences for NPIPB7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NPIPB7 shows lower tumor expression in THCA and KICH and higher tumor expression in KIRP and HNSC. The THCA box plot shows higher NPIPB7 RNA expression in normal versus tumor tissue (log2 FC = −0.086, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
THCAAllAll−0.086<.0014view →
KIRPAllIV+0.070.0492view →
KICHAllAll−0.076.0131view →
HNSCAllIV+0.032.0351view →
Green = repressed in tumor. all 4 lineages →

NPIPB7-THCA

Tumor-vs-normal expression box plot for NPIPB7 in THCA.

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Cross-omics associations

This table shows molecular features associated with NPIPB7 in patient tissues and cancer cell lines. In patient samples, NPIPB7 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA11,223TGCT (2136)view →
Function (RNA)7,043KIRC (4962)view →
Mutation
RNA32UCEC (23)view →