ASB14

associated omics data
ankyrin repeat and SOCS box containing 14Genealiases: []

Q-omics provides the consensus-scored ASB14 profile across patient tissues and cancer cell-line models. ASB14 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, ASB14 is differentially expressed in 8, with the highest sampling consensus in THCA. Additionally, ASB14 RNA expression shows 19,588 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight ACC, THCA, and KIRP as cancer lineages where ASB14 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 ASB14 survival associations across molecular data types. ASB14 RNA expression shows survival associations in the most cancer types (21), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
ASB14 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier21ACC (58)view →
MutationKaplan–Meier5LUSC (36)view →
This table ranks reproducible ASB14 RNA expression–survival associations across cancer types. High ASB14 expression shows unfavorable associations in ACC, LIHC and KICH, but favorable associations in THYM, PAAD and SKCM. The ACC 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 ACC as the clearest survival context for ASB14 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ACCDFSQuartileII,III,IV0.1100.666<.00158view →
THYMOSMedianAll1.0000.770.00339view →
LIHCOSTertileAll0.5880.806<.00137view →
PAADOSQuartileAll0.7170.315.00724view →
KICHDFSQuartileAll0.5690.956.00824view →
SKCMOSMedianIV0.8100.375.00623view →
Pink = unfavorable, green = favorable. all 21 lineages →

ASB14-ACC (DFS)

Kaplan–Meier survival curve for ASB14 RNA expression in ACC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes ASB14 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in THCA for RNA.
ASB14 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot8THCA (9)view →
This table ranks reproducible tumor–normal expression differences for ASB14. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ASB14 shows lower tumor expression in THCA, HNSC, LUSC, LUAD and BRCA and higher tumor expression in LIHC. The THCA box plot shows higher ASB14 RNA expression in normal versus tumor tissue (log2 FC = −0.273, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
THCAAllIII,IV−0.273<.0019view →
HNSCMaleAll−0.740<.0018view →
LUSCFemaleII,III,IV−0.690<.0018view →
LIHCAllII,III,IV+0.249<.0018view →
LUADFemaleIII,IV−0.521<.0017view →
BRCAAllIII,IV−0.467.0026view →
Green = repressed in tumor. all 8 lineages →

ASB14-THCA

Tumor-vs-normal expression box plot for ASB14 in THCA.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with ASB14 in patient tissues and cancer cell lines. In patient samples, ASB14 shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set. In cancer cell lines, ASB14 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 SOFT_TISSUE and BLOOD_Leukemia.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA19,588KIRP (5297)view →
Protein (mass-spec)15,840BRCA (3979)view →
Mutation
RNA2,919UCEC (2881)view →
Protein (RPPA)35UCEC (35)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,607UPPER_AERODIGESTIVE_TRACT (113)view →
RNA1,101SOFT_TISSUE (149)view →
RNA
RNA10,281BLOOD_Leukemia (5377)view →
Function (RNA)3,990BLOOD_Leukemia (1587)view →
Mutation
Mutation4,924LARGE_INTESTINE (4592)view →
Drug12LARGE_INTESTINE (12)view →
shRNA
shRNA1,984LUNG_SCLC (265)view →
RNA1,698OVARY (275)view →