PSD

associated omics data
pleckstrin and Sec7 domain containingGenealiases: EFA6 · EFA6A · PSD1 · TYL

Q-omics provides the consensus-scored PSD profile across patient tissues and cancer cell-line models. PSD expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, PSD is differentially expressed in 14, with the highest sampling consensus in BLCA. Additionally, PSD RNA expression shows 19,810 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight ACC, BLCA, and GBM as cancer lineages where PSD 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 PSD survival associations across molecular data types. PSD RNA expression shows survival associations in the most cancer types (24), followed by mutation status (4) and mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
PSD data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier24ACC (100)view →
MutationKaplan–Meier4UCEC (28)view →
Protein (mass-spec)Kaplan–Meier2PDAC (4)view →
This table ranks reproducible PSD RNA expression–survival associations across cancer types. High PSD expression shows unfavorable associations in ACC, BLCA and MESO, but favorable associations in LGG, HNSC and PAAD. The ACC 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 ACC as the clearest survival context for PSD RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ACCDFSMedianAll0.2190.681<.001100view →
LGGOSMedianAll0.5340.366<.00154view →
BLCADFSQuartileII,III,IV0.4560.606.01132view →
HNSCDFSTertileIV0.4230.220.00628view →
MESOOSTertileIII,IV0.2190.700.00627view →
PAADDFSQuartileAll0.6070.353.00122view →
Pink = unfavorable, green = favorable. all 24 lineages →

PSD-ACC (DFS)

Kaplan–Meier survival curve for PSD RNA expression in ACC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes PSD tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 3. The strongest signals are observed in BLCA for RNA and LSCC for protein.
PSD data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot14BLCA (11)view →
Protein (mass-spec)Box plot3LSCC (6)view →
This table ranks reproducible tumor–normal expression differences for PSD. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PSD shows lower tumor expression in BLCA, COAD, UCEC and STAD and higher tumor expression in LIHC and HNSC. The BLCA box plot shows higher PSD RNA expression in normal versus tumor tissue (log2 FC = −5.122, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
BLCAMaleIV−5.122<.00111view →
COADMaleII,III,IV−2.348<.0018view →
LIHCAllII,III,IV+0.376<.0018view →
HNSCAllAll+0.303<.0018view →
UCECAllAll−2.794<.0016view →
STADAllAll−1.839.0016view →
Green = repressed in tumor. all 14 lineages →

PSD-BLCA

Tumor-vs-normal expression box plot for PSD in BLCA.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with PSD in patient tissues and cancer cell lines. In patient samples, PSD shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, PSD RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in SKIN and LARGE_INTESTINE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
Protein (mass-spec)19,810GBM (9479)view →
RNA17,579ACC (7006)view →
Protein (mass-spec)
Protein (mass-spec)17,018GBM (11616)view →
RNA7,086GBM (4911)view →
Mutation
RNA6,304UCEC (5582)view →
Protein (RPPA)42UCEC (28)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,894BONE (150)view →
RNA1,380SKIN (225)view →
RNA
RNA11,149LARGE_INTESTINE (3550)view →
Function (RNA)4,295BONE (1369)view →
Mutation
Mutation6,751LARGE_INTESTINE (4627)view →
RNA950LARGE_INTESTINE (919)view →