USH1G

associated omics data
USH1 protein network component sansGenealiases: ANKS4A · SANS

Q-omics provides the consensus-scored USH1G profile across patient tissues and cancer cell-line models. USH1G expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in COAD. Among the 18 cancer types available for tumor–normal comparison, USH1G is differentially expressed in 11, with the highest sampling consensus in KICH. Additionally, USH1G RNA expression shows 14,764 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight COAD, KICH, and ACC as cancer lineages where USH1G 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 USH1G survival associations across molecular data types. USH1G RNA expression shows survival associations in the most cancer types (21), followed by mutation status (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
USH1G data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier21COAD (96)view →
MutationKaplan–Meier6LUAD (24)view →
This table ranks reproducible USH1G RNA expression–survival associations across cancer types. High USH1G expression shows unfavorable associations in COAD, LIHC, BLCA, KICH and SKCM, but favorable associations in KIRP. The COAD 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 COAD as the clearest survival context for USH1G RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
COADDFSMedianAll0.4170.602<.00196view →
LIHCOSMedianAll0.4250.594<.00168view →
KIRPDFSTertileIII,IV0.8460.432.00165view →
BLCAOSTertileIV0.2210.664<.00162view →
KICHOSTertileIII,IV0.1780.761.00151view →
SKCMOSMedianAll0.8300.913<.00135view →
Pink = unfavorable, green = favorable. all 21 lineages →

USH1G-COAD (DFS)

Kaplan–Meier survival curve for USH1G RNA expression in COAD: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes USH1G tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in KICH for RNA.
USH1G data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot11KICH (10)view →
This table ranks reproducible tumor–normal expression differences for USH1G. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. USH1G shows lower tumor expression in KICH and KIRC and higher tumor expression in LUAD, LUSC, BRCA and LIHC. The KICH box plot shows higher USH1G RNA expression in normal versus tumor tissue (log2 FC = −0.478, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KICHMaleII,III,IV−0.478<.00110view →
LUADAllAll+0.302<.0019view →
KIRCMaleII,III,IV−0.232<.0017view →
LUSCMaleAll+2.093<.0016view →
BRCAFemaleII,III,IV+0.190<.0014view →
LIHCAllAll+0.044.0033view →
Green = repressed in tumor. all 11 lineages →

USH1G-KICH

Tumor-vs-normal expression box plot for USH1G in KICH.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with USH1G in patient tissues and cancer cell lines. In patient samples, USH1G 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, USH1G RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and BLOOD_Leukemia.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA14,764ACC (4972)view →
Protein (mass-spec)10,626LSCC (7550)view →
Mutation
RNA2,234UCEC (1748)view →
Protein (RPPA)34UCEC (31)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR2,150SKIN (248)view →
RNA1,968SKIN (772)view →
RNA
RNA5,223BLOOD_Lymphoma (896)view →
Function (RNA)2,020BLOOD_Lymphoma (454)view →
Mutation
Mutation4,584BLOOD_Leukemia (2516)view →
RNA21BLOOD_Leukemia (12)view →
shRNA
shRNA854BREAST (186)view →
RNA738STOMACH (166)view →