PHOSPHO1

associated omics data
phosphoethanolamine/phosphocholine phosphatase 1Genealiases: []

Q-omics provides the consensus-scored PHOSPHO1 profile across patient tissues and cancer cell-line models. PHOSPHO1 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, PHOSPHO1 is differentially expressed in 8, with the highest sampling consensus in LUAD. Additionally, PHOSPHO1 RNA expression shows 16,549 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UVM, and LUAD as cancer lineages where PHOSPHO1 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 PHOSPHO1 survival associations across molecular data types. PHOSPHO1 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (5) and mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
PHOSPHO1 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier27UVM (110)view →
MutationKaplan–Meier5LUSC (12)view →
Protein (mass-spec)Kaplan–Meier2LSCC (13)view →
This table ranks reproducible PHOSPHO1 RNA expression–survival associations across cancer types. High PHOSPHO1 expression shows unfavorable associations in UVM, LGG, KICH and THYM, but favorable associations in SCLC and PAAD. The UVM 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 UVM as the clearest survival context for PHOSPHO1 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
UVMOSMedianAll0.4100.832<.001110view →
SCLCDFSTertileIII,IV0.8430.360.00460view →
PAADOSMedianAll0.4690.308.00549view →
LGGDFSMedianAll0.3180.506<.00146view →
KICHOSTertileIII,IV0.6921.000.00731view →
THYMOSMedianAll0.7280.960.00129view →
Pink = unfavorable, green = favorable. all 27 lineages →

PHOSPHO1-UVM (OS)

Kaplan–Meier survival curve for PHOSPHO1 RNA expression in UVM: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes PHOSPHO1 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 LUAD for RNA.
PHOSPHO1 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot8LUAD (9)view →
This table ranks reproducible tumor–normal expression differences for PHOSPHO1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PHOSPHO1 shows lower tumor expression in LUAD, LIHC, BRCA and LUSC and higher tumor expression in CHOL and KIRC. The LUAD box plot shows higher PHOSPHO1 RNA expression in normal versus tumor tissue (log2 FC = −1.267, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
LUADMaleAll−1.267<.0019view →
LIHCMaleAll−0.172<.0017view →
BRCAFemaleAll−0.350<.0016view →
LUSCMaleII,III,IV−1.078<.0015view →
CHOLFemaleAll+0.696.0452view →
KIRCAllAll+0.259.0022view →
Green = repressed in tumor. all 8 lineages →

PHOSPHO1-LUAD

Tumor-vs-normal expression box plot for PHOSPHO1 in LUAD.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with PHOSPHO1 in patient tissues and cancer cell lines. In patient samples, PHOSPHO1 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, PHOSPHO1 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 BLOOD_Myeloma and BONE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA16,549UVM (7095)view →
Protein (mass-spec)14,446GBM (4447)view →
Protein (mass-spec)
Protein (mass-spec)1,679LSCC (1008)view →
RNA1,156LUAD (411)view →
Mutation
RNA1,219UCEC (1191)view →
Protein (RPPA)14UCEC (14)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,972LUNG_SCLC (159)view →
RNA1,363BLOOD_Myeloma (216)view →
RNA
RNA8,547BONE (4126)view →
Function (RNA)3,883BONE (1960)view →
shRNA
shRNA1,915BREAST (225)view →
CRISPR1,470BLOOD_Leukemia (185)view →
Mutation
Mutation135LUNG_NSCLC_LUAD (74)view →
RNA7LARGE_INTESTINE (5)view →