POMP

associated omics data
proteasome maturation proteinGenealiases: C13orf12 · HSPC014 · PNAS-110 · PRAAS2 · UMP1

Q-omics provides the consensus-scored POMP profile across patient tissues and cancer cell-line models. POMP expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, POMP is differentially expressed in 15, with the highest sampling consensus in KIRC. Additionally, POMP RNA expression shows 19,001 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight HNSC, KIRC, and ACC as cancer lineages where POMP 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 POMP survival associations across molecular data types. POMP RNA expression shows survival associations in the most cancer types (26), followed by mutation status (4) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
POMP data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier26HNSC (164)view →
Protein (mass-spec)Kaplan–Meier7CCRCC (34)view →
MutationKaplan–Meier4CESC (48)view →
This table ranks reproducible POMP RNA expression–survival associations across cancer types. High POMP expression shows unfavorable associations in HNSC, UVM, ACC, ESCA, LUAD and LIHC. The HNSC 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 HNSC as the clearest survival context for POMP RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
HNSCDFSMedianAll0.5100.685<.001164view →
UVMDFSMedianAll0.3930.787<.001153view →
ACCDFSMedianAll0.2180.705<.001110view →
ESCADFSTertileIII,IV0.2520.560<.00181view →
LUADOSQuartileAll0.2370.446.00250view →
LIHCOSMedianAll0.4540.651<.00144view →
Pink = unfavorable, green = favorable. all 26 lineages →

POMP-HNSC (DFS)

Kaplan–Meier survival curve for POMP RNA expression in HNSC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes POMP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15, while mass-spec protein shows differences in 6. The strongest signals are observed in KIRC for RNA and COAD for protein.
POMP data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot15KIRC (12)view →
Protein (mass-spec)Box plot6COAD (8)view →
This table ranks reproducible tumor–normal expression differences for POMP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. POMP shows higher tumor expression in KIRC, HNSC, COAD, STAD, LIHC and BLCA. The KIRC box plot shows higher POMP RNA expression in tumor versus normal tissue (log2 FC = +0.738, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KIRCFemaleIV+0.738<.00112view →
HNSCAllIV+0.681<.00112view →
COADAllIII,IV+1.194<.00111view →
STADFemaleAll+1.318<.0019view →
LIHCMaleII,III,IV+0.926<.0019view →
BLCAAllAll+0.452.0019view →
Green = repressed in tumor. all 15 lineages →

POMP-KIRC

Tumor-vs-normal expression box plot for POMP in KIRC.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with POMP in patient tissues and cancer cell lines. In patient samples, POMP 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, POMP RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LIVER, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and BLOOD_Lymphoma.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA19,001ACC (7713)view →
Protein (mass-spec)9,680LSCC (2154)view →
Protein (mass-spec)
Protein (mass-spec)11,177GBM (2681)view →
RNA8,025UCEC (2779)view →
Mutation
RNA60UCEC (33)view →
Infiltrating cells1UCEC (1)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,999LIVER (183)view →
RNA1,685UPPER_AERODIGESTIVE_TRACT (213)view →
RNA
RNA7,465UPPER_AERODIGESTIVE_TRACT (2306)view →
Function (RNA)2,812UPPER_AERODIGESTIVE_TRACT (529)view →
Protein (mass-spec)
RNA2,054BLOOD_Lymphoma (529)view →
CRISPR1,232BLOOD_Lymphoma (178)view →
Mutation
Mutation505LARGE_INTESTINE (505)view →