RREB1

associated omics data
ras responsive element binding protein 1Genealiases: FINB · HNT · LZ321 · RREB-1 · Zep-1

Q-omics provides the consensus-scored RREB1 profile across patient tissues and cancer cell-line models. RREB1 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, RREB1 is differentially expressed in 10, with the highest sampling consensus in THCA. Additionally, RREB1 protein abundance shows 25,755 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRC, THCA, and LSCC as cancer lineages where RREB1 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 RREB1 survival associations across molecular data types. RREB1 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (6) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
RREB1 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier27KIRC (100)view →
MutationKaplan–Meier6KICH (13)view →
Protein (mass-spec)Kaplan–Meier5LSCC (37)view →
This table ranks reproducible RREB1 RNA expression–survival associations across cancer types. High RREB1 expression shows unfavorable associations in LGG, CESC and ACC, but favorable associations in KIRC, UVM and HNSC. The KIRC 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 KIRC as the clearest survival context for RREB1 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
KIRCDFSMedianAll0.7250.537<.001100view →
LGGOSMedianAll0.3670.526<.00152view →
UVMOSQuartileII,III,IV0.9450.573.00743view →
CESCDFSQuartileIII,IV0.3110.938.00642view →
ACCDFSQuartileAll0.3180.807<.00140view →
HNSCDFSQuartileAll0.5160.309.00129view →
Pink = unfavorable, green = favorable. all 27 lineages →

RREB1-KIRC (DFS)

Kaplan–Meier survival curve for RREB1 RNA expression in KIRC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes RREB1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10, while mass-spec protein shows differences in 6. The strongest signals are observed in THCA for RNA and LUAD for protein.
RREB1 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot10THCA (8)view →
Protein (mass-spec)Box plot6LUAD (9)view →
This table ranks reproducible tumor–normal expression differences for RREB1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RREB1 shows lower tumor expression in THCA and COAD and higher tumor expression in LUSC, LIHC, STAD and CHOL. The THCA box plot shows higher RREB1 RNA expression in normal versus tumor tissue (log2 FC = −0.611, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
THCAAllII,III,IV−0.611<.0018view →
LUSCAllII,III,IV+0.479<.0017view →
LIHCAllAll+0.484<.0015view →
STADAllII,III,IV+0.697.0094view →
CHOLAllAll+0.777.0023view →
COADFemaleAll−0.344.0093view →
Green = repressed in tumor. all 10 lineages →

RREB1-THCA

Tumor-vs-normal expression box plot for RREB1 in THCA.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with RREB1 in patient tissues and cancer cell lines. In patient samples, RREB1 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, RREB1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in URINARY_TRACT, while CRISPR and shRNA rows add functional-dependency signals in LIVER and LARGE_INTESTINE.
Associated data typeStrength (# associated data)Lineage of highest associated data
Protein (mass-spec)
Protein (mass-spec)25,755LSCC (8269)view →
RNA14,085LSCC (6702)view →
RNA
RNA20,755THYM (9220)view →
Protein (mass-spec)11,459BRCA (3632)view →
Mutation
RNA6,768UCEC (5820)view →
Protein (RPPA)59UCEC (44)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
RNA2,330URINARY_TRACT (758)view →
CRISPR1,910LIVER (138)view →
RNA
RNA12,638LARGE_INTESTINE (5158)view →
Function (RNA)5,400BLOOD_Leukemia (1367)view →
Mutation
Mutation4,857LARGE_INTESTINE (2953)view →
RNA711LARGE_INTESTINE (439)view →
shRNA
CRISPR1,852BREAST (152)view →
shRNA1,813BREAST (209)view →