SYNE4

associated omics data
spectrin repeat containing nuclear envelope family member 4Genealiases: C19orf46 · DFNB76 · KASH4 · Nesp4

Q-omics provides the consensus-scored SYNE4 profile across patient tissues and cancer cell-line models. SYNE4 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, SYNE4 is differentially expressed in 15, with the highest sampling consensus in KIRC. Additionally, SYNE4 RNA expression shows 16,540 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight HNSC, KIRC, and UVM as cancer lineages where SYNE4 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 SYNE4 survival associations across molecular data types. SYNE4 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
SYNE4 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier23HNSC (63)view →
MutationKaplan–Meier4LUAD (24)view →
This table ranks reproducible SYNE4 RNA expression–survival associations across cancer types. High SYNE4 expression shows unfavorable associations in CESC, MESO and LGG, but favorable associations in HNSC, SKCM and KIRP. The HNSC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .001). Together, the overview and detailed table identify HNSC as the clearest survival context for SYNE4 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
HNSCOSTertileAll0.8150.687.00163view →
SKCMOSQuartileII,III,IV0.5930.284.00161view →
KIRPDFSTertileAll0.9560.812<.00156view →
CESCDFSQuartileII,III,IV0.5680.930<.00148view →
MESODFSMedianIV0.1530.474.00133view →
LGGDFSMedianAll0.2990.457<.00133view →
Pink = unfavorable, green = favorable. all 23 lineages →

SYNE4-HNSC (OS)

Kaplan–Meier survival curve for SYNE4 RNA expression in HNSC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes SYNE4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15. The strongest signals are observed in KIRC for RNA.
SYNE4 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot15KIRC (12)view →
This table ranks reproducible tumor–normal expression differences for SYNE4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SYNE4 shows lower tumor expression in KIRC and KIRP and higher tumor expression in BLCA, UCEC, COAD and BRCA. The KIRC box plot shows higher SYNE4 RNA expression in normal versus tumor tissue (log2 FC = −2.502, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KIRCFemaleII,III,IV−2.502<.00112view →
BLCAAllAll+2.086<.00110view →
KIRPAllIV−2.450<.0019view →
UCECAllAll+2.125<.0016view →
COADFemaleAll+1.673<.0016view →
BRCAAllIII,IV+1.364<.0016view →
Green = repressed in tumor. all 15 lineages →

SYNE4-KIRC

Tumor-vs-normal expression box plot for SYNE4 in KIRC.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with SYNE4 in patient tissues and cancer cell lines. In patient samples, SYNE4 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, SYNE4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Lymphoma, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUAD and BREAST.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA16,540UVM (5433)view →
Protein (mass-spec)11,057HNSC (2233)view →
Protein (mass-spec)
Protein (mass-spec)684OV (684)view →
Function (mass-spec)547OV (547)view →
Mutation
RNA211UCEC (126)view →
Protein (RPPA)5UCEC (5)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR2,018BLOOD_Lymphoma (171)view →
RNA1,210LUNG_NSCLC_LUAD (184)view →
RNA
RNA9,138BREAST (2445)view →
Function (RNA)3,905BREAST (1110)view →