SCUBE1

associated omics data
signal peptide, CUB domain and EGF like domain containing 1Genealiases: []

Q-omics provides the consensus-scored SCUBE1 profile across patient tissues and cancer cell-line models. SCUBE1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in CESC. Among the 18 cancer types available for tumor–normal comparison, SCUBE1 is differentially expressed in 13, with the highest sampling consensus in KIRP. Additionally, SCUBE1 RNA expression shows 16,237 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight CESC, KIRP, and TGCT as cancer lineages where SCUBE1 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 SCUBE1 survival associations across molecular data types. SCUBE1 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (6) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
SCUBE1 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier22CESC (112)view →
MutationKaplan–Meier6UCEC (12)view →
Protein (mass-spec)Kaplan–Meier3LUAD (4)view →
This table ranks reproducible SCUBE1 RNA expression–survival associations across cancer types. High SCUBE1 expression shows unfavorable associations in ACC, UCS and CHOL, but favorable associations in CESC, BLCA and HNSC. The CESC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify CESC as the clearest survival context for SCUBE1 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
CESCOSMedianII,III,IV0.9330.717<.001112view →
BLCAOSMedianIV0.7790.377.00141view →
ACCDFSMedianAll0.2470.693<.00138view →
UCSDFSTertileIV0.3530.956.02430view →
HNSCDFSTertileII,III,IV0.4080.230.00430view →
CHOLOSQuartileII,III,IV0.2420.890.00225view →
Pink = unfavorable, green = favorable. all 22 lineages →

SCUBE1-CESC (OS)

Kaplan–Meier survival curve for SCUBE1 RNA expression in CESC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes SCUBE1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 3. The strongest signals are observed in KIRP for RNA and CCRCC for protein.
SCUBE1 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot13KIRP (11)view →
Protein (mass-spec)Box plot3CCRCC (11)view →
This table ranks reproducible tumor–normal expression differences for SCUBE1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SCUBE1 shows lower tumor expression in KIRP, COAD, LUSC, LUAD and KIRC and higher tumor expression in LIHC. The KIRP box plot shows higher SCUBE1 RNA expression in normal versus tumor tissue (log2 FC = −1.498, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KIRPMaleIII,IV−1.498<.00111view →
COADFemaleIII,IV−1.206<.00111view →
LUSCFemaleII,III,IV−3.621<.0019view →
LUADFemaleIII,IV−2.935<.0019view →
KIRCMaleII,III,IV−1.102<.0019view →
LIHCAllAll+1.038<.0017view →
Green = repressed in tumor. all 13 lineages →

SCUBE1-KIRP

Tumor-vs-normal expression box plot for SCUBE1 in KIRP.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with SCUBE1 in patient tissues and cancer cell lines. In patient samples, SCUBE1 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, SCUBE1 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 SOFT_TISSUE and LARGE_INTESTINE.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA16,237TGCT (5483)view →
Protein (mass-spec)11,580LSCC (4812)view →
Protein (mass-spec)
Protein (mass-spec)8,140LSCC (4684)view →
RNA4,521LSCC (2394)view →
Mutation
RNA3,465UCEC (2197)view →
Protein (RPPA)49UCEC (39)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR1,866KIDNEY (154)view →
RNA1,601SOFT_TISSUE (245)view →
Mutation
Mutation5,499LARGE_INTESTINE (3489)view →
RNA270LARGE_INTESTINE (161)view →
RNA
RNA3,802SOFT_TISSUE (1602)view →
Function (RNA)1,689SOFT_TISSUE (822)view →
shRNA
shRNA2,399OVARY (387)view →
RNA1,900LUNG_NSCLC_LUAD (355)view →