RABL2B

associated omics data
RAB, member of RAS oncogene family like 2BGenealiases: []

Q-omics provides the consensus-scored RABL2B profile across patient tissues and cancer cell-line models. RABL2B expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, RABL2B is differentially expressed in 14, with the highest sampling consensus in KICH. Additionally, RABL2B RNA expression shows 19,958 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight MESO, KICH, and ACC as cancer lineages where RABL2B 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 RABL2B survival associations across molecular data types. RABL2B RNA expression shows survival associations in the most cancer types (21), followed by mutation status (1) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
RABL2B data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier21MESO (79)view →
Protein (mass-spec)Kaplan–Meier3PDAC (6)view →
MutationKaplan–Meier1BLCA (48)view →
This table ranks reproducible RABL2B RNA expression–survival associations across cancer types. High RABL2B expression shows unfavorable associations in MESO, LIHC and ACC, but favorable associations in BLCA, UCEC and READ. The MESO Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify MESO as the clearest survival context for RABL2B RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
MESOOSTertileII,III,IV0.3020.580.00179view →
LIHCDFSMedianAll0.4700.611<.00173view →
BLCADFSQuartileIV0.6380.396.00868view →
ACCDFSTertileAll0.2140.699<.00152view →
UCECDFSQuartileAll0.9620.862.00148view →
READOSTertileII,III,IV0.7930.262<.00139view →
Pink = unfavorable, green = favorable. all 21 lineages →

RABL2B-MESO (OS)

Kaplan–Meier survival curve for RABL2B RNA expression in MESO: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes RABL2B 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 THCA for RNA and LUAD for protein.
RABL2B data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot14THCA (7)view →
Protein (mass-spec)Box plot3LUAD (2)view →
This table ranks reproducible tumor–normal expression differences for RABL2B. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RABL2B shows lower tumor expression in KICH, THCA and LUAD and higher tumor expression in HNSC, LIHC and STAD. The KICH box plot shows higher RABL2B RNA expression in normal versus tumor tissue (log2 FC = −1.069, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KICHFemaleAll−1.069<.0017view →
HNSCMaleIII,IV+0.708<.0017view →
LIHCAllII,III,IV+0.598<.0017view →
THCAAllAll−0.325<.0017view →
STADMaleII,III,IV+0.729<.0016view →
LUADAllAll−0.386.0016view →
Green = repressed in tumor. all 14 lineages →

RABL2B-KICH

Tumor-vs-normal expression box plot for RABL2B in KICH.

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Cross-omics associations

This table shows molecular features associated with RABL2B in patient tissues and cancer cell lines. In patient samples, RABL2B shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, RABL2B RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in URINARY_TRACT and BLOOD_Leukemia.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA19,958ACC (9549)view →
Protein (mass-spec)10,518LSCC (2592)view →
Protein (mass-spec)
Protein (mass-spec)10,238PDAC (4106)view →
RNA3,245UCEC (877)view →
Mutation
RNA177UCEC (155)view →
Protein (RPPA)10UCEC (10)view →
Associated data typeStrength (# associated data)Lineage of highest associated data
CRISPR
CRISPR2,305SOFT_TISSUE (209)view →
RNA1,646URINARY_TRACT (296)view →
RNA
RNA10,886BLOOD_Leukemia (5506)view →
Function (RNA)3,954BLOOD_Leukemia (1606)view →
shRNA
shRNA1,996BONE (288)view →
RNA1,953BONE (397)view →
Mutation
Mutation343LARGE_INTESTINE (242)view →
RNA46CNS (24)view →