DEFA5

associated omics data
Gene

Q-omics provides the consensus-scored DEFA5 profile across patient tissues and cancer cell-line models. DEFA5 expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in LGG. Among the 18 cancer types available for tumor–normal comparison, DEFA5 is differentially expressed in 3, with the highest sampling consensus in COAD. Additionally, DEFA5 protein abundance shows 9,966 significant protein co-abundance associations, with the highest sampling consensus in OV. Together, these results highlight LGG, COAD, and OV as cancer lineages where DEFA5 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 DEFA5 survival associations across molecular data types. DEFA5 RNA expression shows survival associations in the most cancer types (16), followed by mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
DEFA5 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier16LGG (52)view →
Protein (mass-spec)Kaplan–Meier3PDAC (21)view →
This table ranks reproducible DEFA5 RNA expression–survival associations across cancer types. High DEFA5 expression shows unfavorable associations in UVM, THCA, UCEC and UCS, but favorable associations in LGG and READ. The LGG 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 LGG as the clearest survival context for DEFA5 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
LGGOSMedianAll0.5840.338<.00152view →
UVMOSTertileAll0.3170.938<.00145view →
THCADFSTertileAll0.6920.856.00242view →
UCECDFSTertileIV0.1900.536.01724view →
UCSOSTertileAll0.4730.754.00422view →
READOSMedianII,III,IV0.9540.331.00222view →
Pink = unfavorable, green = favorable. all 16 lineages →

DEFA5-LGG (OS)

Kaplan–Meier survival curve for DEFA5 RNA expression in LGG: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes DEFA5 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3, while mass-spec protein shows differences in 5. The strongest signals are observed in COAD for RNA and LSCC for protein.
DEFA5 data typeExpression analysisLineage consensusLineage of highest sampling consensus
Protein (mass-spec)Box plot5LSCC (7)view →
RNABox plot3COAD (6)view →
This table ranks reproducible tumor–normal expression differences for DEFA5. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DEFA5 shows lower tumor expression in STAD and higher tumor expression in COAD and READ. The COAD box plot shows higher DEFA5 RNA expression in tumor versus normal tissue (log2 FC = +1.748, t-test p = .014).
LineageGenderStageFold-changepSampling consensus
COADAllII,III,IV+1.748.0146view →
STADAllAll−3.205.0034view →
READAllAll+3.981.0032view →
Green = repressed in tumor. all 3 lineages →

DEFA5-COAD

Tumor-vs-normal expression box plot for DEFA5 in COAD.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with DEFA5 in patient tissues and cancer cell lines. In patient samples, DEFA5 shows the broadest associations at the RNA and protein expression levels, with OV recurring as the lineage with the largest associated feature set. In cancer cell lines, DEFA5 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OESOPHAGUS, while CRISPR and shRNA rows add functional-dependency signals in KIDNEY and BONE.
Associated data typeStrength (# associated data)Lineage of highest associated data
Protein (mass-spec)
Protein (mass-spec)9,966OV (2656)view →
Function (mass-spec)3,334PDAC (1127)view →
RNA
RNA7,242THYM (3115)view →
Function (RNA)5,909LGG (1920)view →
Mutation
RNA29SKCM (17)view →
Infiltrating cells2SKCM (2)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,552OESOPHAGUS (117)view →
shRNA1,236KIDNEY (165)view →
shRNA
RNA2,017BONE (431)view →
shRNA1,683SKIN (222)view →
RNA
RNA1,817BLOOD_Lymphoma (440)view →
Function (RNA)521BLOOD_Lymphoma (199)view →