PABPC1P7

associated omics data
poly(A) binding protein cytoplasmic 1 pseudogene 7Genealiases: []

Q-omics provides the consensus-scored PABPC1P7 profile across patient tissues and cancer cell-line models. PABPC1P7 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, PABPC1P7 is differentially expressed in 7, with the highest sampling consensus in KICH. Additionally, PABPC1P7 RNA expression shows 16,574 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRP, KICH, and UVM as cancer lineages where PABPC1P7 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 PABPC1P7 survival associations across molecular data types. PABPC1P7 RNA expression shows survival associations in the most cancer types (20). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
PABPC1P7 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier20KIRP (72)view →
This table ranks reproducible PABPC1P7 RNA expression–survival associations across cancer types. High PABPC1P7 expression shows unfavorable associations in COAD, but favorable associations in KIRP, PAAD, HNSC, THYM and MESO. The KIRP 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 KIRP as the clearest survival context for PABPC1P7 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRPOSMedianAll0.8430.529<.00172view →
PAADDFSTertileAll0.4250.210.00330view →
HNSCOSMedianII,III,IV0.4680.300.00128view →
THYMOSTertileII,III,IV1.0000.685.00727view →
COADDFSMedianIII,IV0.4550.730.00916view →
MESODFSTertileIII,IV0.8910.300.01712view →
Pink = unfavorable, green = favorable. all 20 lineages →

PABPC1P7-KIRP (OS)

Kaplan–Meier survival curve for PABPC1P7 RNA expression in KIRP: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes PABPC1P7 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 KICH for RNA.
PABPC1P7 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot7KICH (6)view →
This table ranks reproducible tumor–normal expression differences for PABPC1P7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PABPC1P7 shows lower tumor expression in KICH, UCEC, KIRC, COAD, BRCA and BLCA. The KICH box plot shows higher PABPC1P7 RNA expression in normal versus tumor tissue (log2 FC = −0.195, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KICHAllAll−0.195<.0016view →
UCECAllAll−0.170.0016view →
KIRCAllAll−0.058<.0015view →
COADAllAll−0.041.0053view →
BRCAAllIII,IV−0.099.0252view →
BLCAMaleIV−0.125.0171view →
Green = repressed in tumor. all 7 lineages →

PABPC1P7-KICH

Tumor-vs-normal expression box plot for PABPC1P7 in KICH.

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Cross-omics associations

This table shows molecular features associated with PABPC1P7 in patient tissues and cancer cell lines. In patient samples, PABPC1P7 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA16,574UVM (7014)view →
Protein (mass-spec)11,411GBM (5128)view →