RAB30-DT

associated omics data
Gene

Q-omics provides the consensus-scored RAB30-DT profile across patient tissues and cancer cell-line models. RAB30-DT expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, RAB30-DT is differentially expressed in 9, with the highest sampling consensus in KICH. Additionally, RAB30-DT RNA expression shows 19,597 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight ACC, KICH, and UVM as cancer lineages where RAB30-DT 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 RAB30-DT survival associations across molecular data types. RAB30-DT RNA expression shows survival associations in the most cancer types (22). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
RAB30-DT data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier22ACC (82)view →
This table ranks reproducible RAB30-DT RNA expression–survival associations across cancer types. High RAB30-DT expression shows unfavorable associations in ACC, KICH and LIHC, but favorable associations in LUSC, KIRC and LUAD. 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 RAB30-DT RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ACCDFSTertileAll0.1940.649<.00182view →
KICHOSMedianIII,IV0.3401.000.00157view →
LUSCOSMedianAll0.8280.724.00144view →
LIHCOSMedianAll0.6870.870<.00143view →
KIRCOSTertileAll0.8600.770.00437view →
LUADDFSMedianAll0.8310.698.00528view →
Pink = unfavorable, green = favorable. all 22 lineages →

RAB30-DT-ACC (DFS)

Kaplan–Meier survival curve for RAB30-DT RNA expression in ACC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes RAB30-DT tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in THCA for RNA.
RAB30-DT data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot9THCA (10)view →
This table ranks reproducible tumor–normal expression differences for RAB30-DT. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RAB30-DT shows lower tumor expression in KICH and THCA and higher tumor expression in LIHC, HNSC, LUSC and CHOL. The KICH box plot shows higher RAB30-DT RNA expression in normal versus tumor tissue (log2 FC = −1.140, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KICHMaleIII,IV−1.140<.00110view →
THCAMaleAll−0.646<.00110view →
LIHCMaleAll+1.048<.0019view →
HNSCMaleAll+0.597<.0018view →
LUSCAllAll+0.474<.0016view →
CHOLFemaleAll+1.253<.0015view →
Green = repressed in tumor. all 9 lineages →

RAB30-DT-KICH

Tumor-vs-normal expression box plot for RAB30-DT in KICH.

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Cross-omics associations

This table shows molecular features associated with RAB30-DT in patient tissues and cancer cell lines. In patient samples, RAB30-DT shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA19,597UVM (7561)view →
Protein (mass-spec)15,987GBM (4960)view →