USP14

associated omics data
ubiquitin specific peptidase 14Genealiases: TGT · Ubp6

Q-omics provides the consensus-scored USP14 profile across patient tissues and cancer cell-line models. USP14 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, USP14 is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, USP14 RNA expression shows 19,511 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight HNSC, and ACC as cancer lineages where USP14 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 USP14 survival associations across molecular data types. USP14 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (6) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
USP14 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier27HNSC (116)view →
MutationKaplan–Meier6LUSC (36)view →
Protein (mass-spec)Kaplan–Meier5CCRCC (13)view →
This table ranks reproducible USP14 RNA expression–survival associations across cancer types. High USP14 expression shows unfavorable associations in HNSC, MESO, ACC, LIHC, BLCA and LGG. 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 USP14 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
HNSCOSTertileII,III,IV0.6710.823<.001116view →
MESOOSMedianIII,IV0.2840.481.00487view →
ACCDFSMedianAll0.1590.698<.00172view →
LIHCOSTertileAll0.5650.766<.00163view →
BLCADFSTertileAll0.3980.681.00139view →
LGGOSTertileAll0.7240.883<.00135view →
Pink = unfavorable, green = favorable. all 27 lineages →

USP14-HNSC (OS)

Kaplan–Meier survival curve for USP14 RNA expression in HNSC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes USP14 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 6. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
USP14 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot13HNSC (12)view →
Protein (mass-spec)Box plot6CCRCC (9)view →
This table ranks reproducible tumor–normal expression differences for USP14. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. USP14 shows higher tumor expression in HNSC, LIHC, LUSC, STAD, BRCA and LUAD. The HNSC box plot shows higher USP14 RNA expression in tumor versus normal tissue (log2 FC = +0.903, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
HNSCAllIII,IV+0.903<.00112view →
LIHCMaleII,III,IV+1.232<.0019view →
LUSCAllIII,IV+0.991<.0018view →
STADMaleII,III,IV+0.982<.0018view →
BRCAAllAll+0.733<.0018view →
LUADMaleII,III,IV+0.723<.0018view →
Green = repressed in tumor. all 13 lineages →

USP14-HNSC

Tumor-vs-normal expression box plot for USP14 in HNSC.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with USP14 in patient tissues and cancer cell lines. In patient samples, USP14 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, USP14 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 BLOOD_Lymphoma and PANCREAS.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA19,511ACC (10392)view →
Protein (mass-spec)12,686LSCC (5142)view →
Protein (mass-spec)
Protein (mass-spec)12,135LSCC (3189)view →
RNA6,572LSCC (3278)view →
Mutation
RNA2,105UCEC (2006)view →
Protein (RPPA)35UCEC (35)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
RNA2,089BLOOD_Leukemia (383)view →
CRISPR1,866BLOOD_Lymphoma (174)view →
RNA
RNA9,826BLOOD_Leukemia (4908)view →
Function (RNA)3,583BLOOD_Leukemia (1315)view →
Protein (mass-spec)
RNA3,952PANCREAS (891)view →
Function (mass-spec)3,214CNS (1148)view →
shRNA
shRNA1,777SKIN (174)view →
RNA1,691URINARY_TRACT (190)view →