PGBD4P8

associated omics data
piggyBac transposable element derived 4 pseudogene 8Genealiases: []

Q-omics provides the consensus-scored PGBD4P8 profile across patient tissues and cancer cell-line models. PGBD4P8 expression is associated with patient survival in 12 of 34 cancer types, with the highest sampling consensus in CESC. Among the 18 cancer types available for tumor–normal comparison, PGBD4P8 is differentially expressed in 4, with the highest sampling consensus in KICH. Additionally, PGBD4P8 RNA expression shows 8,107 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight CESC, KICH, and KIRP as cancer lineages where PGBD4P8 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 PGBD4P8 survival associations across molecular data types. PGBD4P8 RNA expression shows survival associations in the most cancer types (12). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
PGBD4P8 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier12CESC (108)view →
This table ranks reproducible PGBD4P8 RNA expression–survival associations across cancer types. High PGBD4P8 expression shows unfavorable associations in CESC, THYM, STAD, LGG and OV, but favorable associations in BRCA. The CESC 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 CESC as the clearest survival context for PGBD4P8 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
CESCOSTertileII,III,IV0.0910.830<.001108view →
THYMOSTertileAll0.7360.974.00663view →
BRCADFSQuartileIII,IV0.9540.854.01148view →
STADOSTertileAll0.2400.552.00936view →
LGGOSTertileAll0.3120.512<.00136view →
OVDFSTertileAll0.2380.383.04924view →
Pink = unfavorable, green = favorable. all 12 lineages →

PGBD4P8-CESC (OS)

Kaplan–Meier survival curve for PGBD4P8 RNA expression in CESC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes PGBD4P8 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 KICH for RNA.
PGBD4P8 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot4KICH (5)view →
This table ranks reproducible tumor–normal expression differences for PGBD4P8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PGBD4P8 shows lower tumor expression in KICH and KIRC and higher tumor expression in PRAD and COAD. The KICH box plot shows higher PGBD4P8 RNA expression in normal versus tumor tissue (log2 FC = −0.130, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KICHAllAll−0.130<.0015view →
KIRCAllAll−0.031.0103view →
PRADAllAll+1.136<.0012view →
COADMaleAll+0.125.0462view →
Green = repressed in tumor. all 4 lineages →

PGBD4P8-KICH

Tumor-vs-normal expression box plot for PGBD4P8 in KICH.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with PGBD4P8 in patient tissues and cancer cell lines. In patient samples, PGBD4P8 shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA8,107KIRP (3192)view →
Function (RNA)6,710STAD (4516)view →