ZNF500

associated omics data
zinc finger protein 500Genealiases: ZKSCAN18 · ZSCAN50

Q-omics provides the consensus-scored ZNF500 profile across patient tissues and cancer cell-line models. ZNF500 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, ZNF500 is differentially expressed in 14, with the highest sampling consensus in HNSC. Additionally, ZNF500 RNA expression shows 20,419 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight HNSC, and ACC as cancer lineages where ZNF500 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 ZNF500 survival associations across molecular data types. ZNF500 RNA expression shows survival associations in the most cancer types (21), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
ZNF500 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier21HNSC (124)view →
MutationKaplan–Meier4CHOL (36)view →
This table ranks reproducible ZNF500 RNA expression–survival associations across cancer types. High ZNF500 expression shows unfavorable associations in ACC and LUSC, but favorable associations in HNSC, ESCA, READ and THYM. 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 ZNF500 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
HNSCDFSTertileIII,IV0.7800.589.001124view →
ESCADFSTertileAll1.0000.226<.00136view →
READOSMedianAll0.8540.314.00133view →
ACCDFSQuartileAll0.1050.733<.00131view →
LUSCDFSMedianIII,IV0.3390.961<.00126view →
THYMDFSQuartileAll0.9700.755.00324view →
Pink = unfavorable, green = favorable. all 21 lineages →

ZNF500-HNSC (DFS)

Kaplan–Meier survival curve for ZNF500 RNA expression in HNSC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes ZNF500 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14. The strongest signals are observed in KIRC for RNA.
ZNF500 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot14KIRC (11)view →
This table ranks reproducible tumor–normal expression differences for ZNF500. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ZNF500 shows higher tumor expression in HNSC, KIRC, COAD, LIHC, KIRP and LUAD. The HNSC box plot shows higher ZNF500 RNA expression in tumor versus normal tissue (log2 FC = +0.601, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
HNSCAllIII,IV+0.601<.00111view →
KIRCFemaleAll+0.541<.00111view →
COADFemaleAll+0.425<.00110view →
LIHCFemaleIII,IV+1.114<.0019view →
KIRPAllII,III,IV+0.598.0019view →
LUADAllAll+0.338<.0016view →
Green = repressed in tumor. all 14 lineages →

ZNF500-HNSC

Tumor-vs-normal expression box plot for ZNF500 in HNSC.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with ZNF500 in patient tissues and cancer cell lines. In patient samples, ZNF500 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, ZNF500 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and BLOOD_Lymphoma.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA20,419ACC (10555)view →
Protein (mass-spec)15,871LSCC (4702)view →
Protein (mass-spec)
Protein (mass-spec)1,846BRCA (913)view →
RNA1,051BRCA (497)view →
Mutation
RNA1,287UCEC (1110)view →
Protein (RPPA)2UCEC (2)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,977LUNG_SCLC (223)view →
RNA1,823LUNG_SCLC (591)view →
RNA
RNA12,576UPPER_AERODIGESTIVE_TRACT (6195)view →
Function (RNA)4,861BLOOD_Lymphoma (1346)view →
shRNA
RNA3,129LUNG_SCLC (1764)view →
shRNA1,978LUNG_SCLC (396)view →
Mutation
Mutation698BLOOD_Leukemia (369)view →
RNA29UPPER_AERODIGESTIVE_TRACT (14)view →