POTED

associated omics data
POTE ankyrin domain family member DGenealiases: A26B3 · ANKRD21 · CT104.1 · POTE · POTE-21 · POTE21

Q-omics provides the consensus-scored POTED profile across patient tissues and cancer cell-line models. POTED expression is associated with patient survival in 10 of 34 cancer types, with the highest sampling consensus in READ. Among the 18 cancer types available for tumor–normal comparison, POTED is differentially expressed in 3, with the highest sampling consensus in BRCA. Additionally, POTED RNA expression shows 6,342 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight READ, BRCA, and TGCT as cancer lineages where POTED 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 POTED survival associations across molecular data types. POTED RNA expression shows survival associations in the most cancer types (10), followed by mutation status (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
POTED data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier10READ (99)view →
MutationKaplan–Meier7LUAD (30)view →
This table ranks reproducible POTED RNA expression–survival associations across cancer types. High POTED expression shows unfavorable associations in READ, PCPG, ACC, THYM and BLCA, but favorable associations in BRCA. The READ 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 READ as the clearest survival context for POTED RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
READOSTertileII,III,IV0.1110.919<.00199view →
PCPGOSTertileAll0.4510.981<.00136view →
ACCDFSTertileAll0.0610.635<.00127view →
THYMDFSTertileAll0.6160.930.00627view →
BRCADFSTertileIV0.8920.408.01524view →
BLCADFSTertileIV0.1360.474.00718view →
Pink = unfavorable, green = favorable. all 10 lineages →

POTED-READ (OS)

Kaplan–Meier survival curve for POTED RNA expression in READ: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes POTED tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in BRCA for RNA.
POTED data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot3BRCA (4)view →
This table ranks reproducible tumor–normal expression differences for POTED. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. POTED shows lower tumor expression in KIRC and higher tumor expression in BRCA and LIHC. The BRCA box plot shows higher POTED RNA expression in tumor versus normal tissue (log2 FC = +0.030, t-test p = .020).
LineageGenderStageFold-changepSampling consensus
BRCAAllAll+0.030.0204view →
LIHCAllAll+0.002.0261view →
KIRCAllAll−0.002.0371view →
Green = repressed in tumor. all 3 lineages →

POTED-BRCA

Tumor-vs-normal expression box plot for POTED in BRCA.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with POTED in patient tissues and cancer cell lines. In patient samples, POTED shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, POTED RNA and mutation anchors are most strongly linked to RNA-expression features, especially in KIDNEY, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and BONE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA6,342TGCT (3281)view →
Function (RNA)5,624STAD (3179)view →
Mutation
RNA100UCEC (40)view →
Infiltrating cells2OV (1)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,666KIDNEY (197)view →
shRNA1,199BLOOD_Lymphoma (219)view →
RNA
RNA549BONE (174)view →
Mutation72BLOOD_Lymphoma (31)view →