SNRPEP4

associated omics data
SNRPE pseudogene 4Genealiases: []

Q-omics provides the consensus-scored SNRPEP4 profile across patient tissues and cancer cell-line models. SNRPEP4 expression is associated with patient survival in 30 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, SNRPEP4 is differentially expressed in 14, with the highest sampling consensus in COAD. Additionally, SNRPEP4 RNA expression shows 16,860 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and COAD as cancer lineages where SNRPEP4 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 SNRPEP4 survival associations across molecular data types. SNRPEP4 RNA expression shows survival associations in the most cancer types (30). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
SNRPEP4 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier30ACC (108)view →
This table ranks reproducible SNRPEP4 RNA expression–survival associations across cancer types. High SNRPEP4 expression shows unfavorable associations in ACC, LIHC, LUAD, BRCA, PAAD and KIRC. 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 SNRPEP4 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ACCOSTertileAll0.3270.804<.001108view →
LIHCOSMedianAll0.6900.865<.00160view →
LUADOSTertileAll0.7590.861.00144view →
BRCAOSTertileAll0.8870.936.00535view →
PAADOSTertileAll0.5060.724.00122view →
KIRCDFSTertileIII,IV0.7050.837.01322view →
Pink = unfavorable, green = favorable. all 30 lineages →

SNRPEP4-ACC (OS)

Kaplan–Meier survival curve for SNRPEP4 RNA expression in ACC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes SNRPEP4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14. The strongest signals are observed in KIRC for RNA.
SNRPEP4 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot14KIRC (11)view →
This table ranks reproducible tumor–normal expression differences for SNRPEP4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SNRPEP4 shows higher tumor expression in COAD, KIRC, LUAD, HNSC, LIHC and LUSC. The COAD box plot shows higher SNRPEP4 RNA expression in tumor versus normal tissue (log2 FC = +1.454, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
COADFemaleII,III,IV+1.454<.00111view →
KIRCFemaleIII,IV+0.611<.00111view →
LUADMaleAll+1.106<.00110view →
HNSCMaleIV+0.868<.00110view →
LIHCMaleAll+0.847<.0018view →
LUSCMaleII,III,IV+0.924<.0017view →
Green = repressed in tumor. all 14 lineages →

SNRPEP4-COAD

Tumor-vs-normal expression box plot for SNRPEP4 in COAD.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with SNRPEP4 in patient tissues and cancer cell lines. In patient samples, SNRPEP4 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA16,860ACC (7532)view →
Protein (mass-spec)11,864LSCC (3415)view →