NEDD4L

associated omics data
NEDD4 like E3 ubiquitin protein ligaseGenealiases: NEDD4-2 · NEDD4.2 · PVNH7 · RSP5 · hNEDD4-2

Q-omics provides the consensus-scored NEDD4L profile across patient tissues and cancer cell-line models. NEDD4L expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, NEDD4L is differentially expressed in 14, with the highest sampling consensus in COAD. Additionally, NEDD4L protein abundance shows 22,789 significant protein co-abundance associations, with the highest sampling consensus in UCEC. Together, these results highlight KIRC, COAD, and UCEC as cancer lineages where NEDD4L 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 NEDD4L survival associations across molecular data types. NEDD4L RNA expression shows survival associations in the most cancer types (23), followed by mutation status (6) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
NEDD4L data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier23KIRC (139)view →
Protein (mass-spec)Kaplan–Meier7GBM (32)view →
MutationKaplan–Meier6UCEC (26)view →
This table ranks reproducible NEDD4L RNA expression–survival associations across cancer types. High NEDD4L expression shows favorable associations in KIRC, READ, UCS, LUAD, KIRP and BRCA. The KIRC 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 KIRC as the clearest survival context for NEDD4L RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRCDFSMedianAll0.7610.513<.001139view →
READDFSTertileAll0.8250.258<.00151view →
UCSDFSMedianIII,IV0.4930.143.00448view →
LUADDFSMedianAll0.4230.234.00148view →
KIRPDFSTertileAll0.9390.787<.00146view →
BRCADFSTertileIII,IV0.9600.838.00245view →
Pink = unfavorable, green = favorable. all 23 lineages →

NEDD4L-KIRC (DFS)

Kaplan–Meier survival curve for NEDD4L RNA expression in KIRC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes NEDD4L tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 7. The strongest signals are observed in COAD for RNA and CCRCC for protein.
NEDD4L data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot14COAD (12)view →
Protein (mass-spec)Box plot7CCRCC (11)view →
This table ranks reproducible tumor–normal expression differences for NEDD4L. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NEDD4L shows lower tumor expression in COAD, LUAD, KIRP and KIRC and higher tumor expression in LIHC and HNSC. The COAD box plot shows higher NEDD4L RNA expression in normal versus tumor tissue (log2 FC = −1.428, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
COADAllIV−1.428<.00112view →
LUADFemaleII,III,IV−1.590<.00111view →
KIRPMaleIII,IV−1.504<.00111view →
KIRCMaleII,III,IV−1.265<.00111view →
LIHCFemaleII,III,IV+1.288<.0019view →
HNSCMaleIII,IV+1.249<.0018view →
Green = repressed in tumor. all 14 lineages →

NEDD4L-COAD

Tumor-vs-normal expression box plot for NEDD4L in COAD.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with NEDD4L in patient tissues and cancer cell lines. In patient samples, NEDD4L shows the broadest associations at the RNA and protein expression levels, with UCEC recurring as the lineage with the largest associated feature set. In cancer cell lines, NEDD4L RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and SOFT_TISSUE.
Associated data typeStrength (# associated data)Lineage of highest associated data
Protein (mass-spec)
Protein (mass-spec)22,789UCEC (5948)view →
RNA15,814LSCC (4850)view →
RNA
RNA19,312UVM (8494)view →
Protein (mass-spec)17,059HNSC (5320)view →
Mutation
RNA3,132UCEC (2794)view →
Protein (RPPA)50UCEC (40)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
RNA2,277UPPER_AERODIGESTIVE_TRACT (884)view →
CRISPR1,756BLOOD_Lymphoma (181)view →
RNA
RNA9,124SOFT_TISSUE (2272)view →
Function (RNA)3,969SOFT_TISSUE (1161)view →
Mutation
Mutation2,399BLOOD_Leukemia (956)view →
RNA26LARGE_INTESTINE (10)view →
shRNA
shRNA2,283SOFT_TISSUE (422)view →
RNA1,747SOFT_TISSUE (231)view →