USP2

associated omics data
ubiquitin specific peptidase 2Genealiases: UBP41 · USP9

Q-omics provides the consensus-scored USP2 profile across patient tissues and cancer cell-line models. USP2 expression is associated with patient survival in 18 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, USP2 is differentially expressed in 15, with the highest sampling consensus in COAD. Additionally, USP2 RNA expression shows 16,542 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight ACC, COAD, and THYM as cancer lineages where USP2 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 USP2 survival associations across molecular data types. USP2 RNA expression shows survival associations in the most cancer types (18), followed by mutation status (4) and mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
USP2 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier18ACC (141)view →
MutationKaplan–Meier4LIHC (20)view →
Protein (mass-spec)Kaplan–Meier2CCRCC (16)view →
This table ranks reproducible USP2 RNA expression–survival associations across cancer types. High USP2 expression shows unfavorable associations in BLCA and HNSC, but favorable associations in ACC, KIRC, KIRP and CESC. The ACC 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 ACC as the clearest survival context for USP2 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ACCOSMedianAll0.8660.374<.001141view →
KIRCOSTertileAll0.7410.525<.001130view →
KIRPDFSQuartileII,III,IV0.7950.335<.00161view →
CESCOSMedianIV0.6550.098.00226view →
BLCAOSQuartileIII,IV0.3170.582.00820view →
HNSCOSQuartileAll0.7290.869.00320view →
Pink = unfavorable, green = favorable. all 18 lineages →

USP2-ACC (OS)

Kaplan–Meier survival curve for USP2 RNA expression in ACC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes USP2 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 2. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
USP2 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot15KIRC (12)view →
Protein (mass-spec)Box plot2CCRCC (12)view →
This table ranks reproducible tumor–normal expression differences for USP2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. USP2 shows lower tumor expression in COAD, KIRC, KIRP, BLCA, THCA and KICH. The COAD box plot shows higher USP2 RNA expression in normal versus tumor tissue (log2 FC = −3.417, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
COADFemaleII,III,IV−3.417<.00112view →
KIRCMaleAll−2.368<.00112view →
KIRPMaleAll−2.531<.00111view →
BLCAFemaleIII,IV−2.224<.00111view →
THCAMaleIII,IV−1.334<.0019view →
KICHMaleAll−2.581<.0018view →
Green = repressed in tumor. all 15 lineages →

USP2-COAD

Tumor-vs-normal expression box plot for USP2 in COAD.

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Cross-omics associations

This table shows molecular features associated with USP2 in patient tissues and cancer cell lines. In patient samples, USP2 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, USP2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and LARGE_INTESTINE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA16,542THYM (6630)view →
Protein (mass-spec)16,254HNSC (7057)view →
Protein (mass-spec)
Protein (mass-spec)11,015CCRCC (4719)view →
RNA2,525GBM (1590)view →
Mutation
RNA2,350UCEC (2097)view →
Protein (RPPA)34UCEC (33)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,698PANCREAS (128)view →
shRNA1,126BLOOD_Leukemia (116)view →
RNA
RNA9,326LARGE_INTESTINE (2318)view →
Function (RNA)3,970BLOOD_Leukemia (1063)view →
Mutation
Mutation3,365LARGE_INTESTINE (1236)view →
RNA41LARGE_INTESTINE (25)view →
shRNA
RNA1,338CNS (523)view →
shRNA1,239OVARY (162)view →