NBPF1

associated omics data
Gene

Q-omics provides the consensus-scored NBPF1 profile across patient tissues and cancer cell-line models. NBPF1 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, NBPF1 is differentially expressed in 11, with the highest sampling consensus in COAD. Additionally, NBPF1 RNA expression shows 20,200 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and COAD as cancer lineages where NBPF1 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 NBPF1 survival associations across molecular data types. NBPF1 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
NBPF1 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier24ACC (102)view →
MutationKaplan–Meier2UCEC (6)view →
This table ranks reproducible NBPF1 RNA expression–survival associations across cancer types. High NBPF1 expression shows unfavorable associations in ACC, LUSC, LIHC and MESO, but favorable associations in KIRC and BRCA. 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 NBPF1 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ACCDFSMedianAll0.2290.674<.001102view →
KIRCDFSMedianAll0.7190.546<.00188view →
BRCADFSTertileIII,IV0.9340.787.00160view →
LUSCDFSTertileIII,IV0.3620.815<.00149view →
LIHCOSMedianAll0.4060.591<.00139view →
MESODFSQuartileAll0.2590.507.00236view →
Pink = unfavorable, green = favorable. all 24 lineages →

NBPF1-ACC (DFS)

Kaplan–Meier survival curve for NBPF1 RNA expression in ACC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes NBPF1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in COAD for RNA.
NBPF1 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot11COAD (11)view →
This table ranks reproducible tumor–normal expression differences for NBPF1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NBPF1 shows lower tumor expression in COAD, KICH, KIRC, THCA and READ and higher tumor expression in HNSC. The COAD box plot shows higher NBPF1 RNA expression in normal versus tumor tissue (log2 FC = −1.409, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
COADFemaleII,III,IV−1.409<.00111view →
KICHFemaleII,III,IV−1.102<.0018view →
HNSCAllIII,IV+0.517.0016view →
KIRCAllII,III,IV−0.382<.0016view →
THCAAllII,III,IV−0.380.0036view →
READAllAll−1.222<.0015view →
Green = repressed in tumor. all 11 lineages →

NBPF1-COAD

Tumor-vs-normal expression box plot for NBPF1 in COAD.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with NBPF1 in patient tissues and cancer cell lines. In patient samples, NBPF1 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, NBPF1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA20,200ACC (9242)view →
Protein (mass-spec)17,500PDAC (5278)view →
Mutation
RNA691UCEC (642)view →
Protein (RPPA)13UCEC (13)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA11,970BLOOD_Leukemia (5961)view →
Function (RNA)4,393BLOOD_Leukemia (1553)view →
Mutation
Mutation948LARGE_INTESTINE (597)view →
RNA142BLOOD_Leukemia (59)view →