PAICSP3

associated omics data
phosphoribosylaminoimidazole carboxylase, phosphoribosylaminoimidazole succinocarboxamide synthetase pseudogene 3Genealiases: []

Q-omics provides the consensus-scored PAICSP3 profile across patient tissues and cancer cell-line models. PAICSP3 expression is associated with patient survival in 18 of 34 cancer types, with the highest sampling consensus in CHOL. Among the 18 cancer types available for tumor–normal comparison, PAICSP3 is differentially expressed in 3, with the highest sampling consensus in BRCA. Additionally, PAICSP3 RNA expression shows 10,114 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight CHOL, BRCA, and THYM as cancer lineages where PAICSP3 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 PAICSP3 survival associations across molecular data types. PAICSP3 RNA expression shows survival associations in the most cancer types (18). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
PAICSP3 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier18CHOL (63)view →
This table ranks reproducible PAICSP3 RNA expression–survival associations across cancer types. High PAICSP3 expression shows unfavorable associations in CHOL, KIRC, ACC and SKCM, but favorable associations in THYM and LGG. The CHOL 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 CHOL as the clearest survival context for PAICSP3 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
CHOLOSTertileAll0.2530.817<.00163view →
KIRCDFSQuartileIV0.3800.696<.00136view →
THYMDFSMedianIII,IV1.0000.498.01722view →
LGGOSMedianAll0.9440.846<.00122view →
ACCDFSTertileAll0.4180.709.00721view →
SKCMDFSTertileIV0.1570.527.01721view →
Pink = unfavorable, green = favorable. all 18 lineages →

PAICSP3-CHOL (OS)

Kaplan–Meier survival curve for PAICSP3 RNA expression in CHOL: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes PAICSP3 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.
PAICSP3 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot3BRCA (6)view →
This table ranks reproducible tumor–normal expression differences for PAICSP3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PAICSP3 shows lower tumor expression in BRCA and KICH and higher tumor expression in COAD. The BRCA box plot shows higher PAICSP3 RNA expression in normal versus tumor tissue (log2 FC = −0.060, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
BRCAFemaleAll−0.060<.0016view →
COADFemaleII,III,IV+0.078.0104view →
KICHAllAll−0.022.0141view →
Green = repressed in tumor. all 3 lineages →

PAICSP3-BRCA

Tumor-vs-normal expression box plot for PAICSP3 in BRCA.

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Cross-omics associations

This table shows molecular features associated with PAICSP3 in patient tissues and cancer cell lines. In patient samples, PAICSP3 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA10,114THYM (4882)view →
Function (RNA)6,967STAD (5715)view →