GAS5

associated omics data
growth arrest specific 5Genealiases: NCRNA00030 · SNHG2

Q-omics provides the consensus-scored GAS5 profile across patient tissues and cancer cell-line models. GAS5 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, GAS5 is differentially expressed in 13, with the highest sampling consensus in KIRC. Additionally, GAS5 RNA expression shows 20,157 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight ACC, KIRC, and LSCC as cancer lineages where GAS5 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 GAS5 survival associations across molecular data types. GAS5 RNA expression shows survival associations in the most cancer types (23). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
GAS5 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier23ACC (129)view →
This table ranks reproducible GAS5 RNA expression–survival associations across cancer types. High GAS5 expression shows unfavorable associations in ACC, LIHC, KIRP, KICH and OV, but favorable associations in LGG. 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 GAS5 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ACCDFSMedianAll0.1750.696<.001129view →
LIHCOSMedianII,III,IV0.6080.811<.00195view →
KIRPDFSTertileAll0.8240.970<.00150view →
KICHDFSQuartileII,III,IV0.2701.000.00540view →
LGGOSMedianAll0.9370.845<.00138view →
OVOSMedianIV0.2600.473.00934view →
Pink = unfavorable, green = favorable. all 23 lineages →

GAS5-ACC (DFS)

Kaplan–Meier survival curve for GAS5 RNA expression in ACC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes GAS5 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13. The strongest signals are observed in KIRC for RNA.
GAS5 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot13KIRC (12)view →
This table ranks reproducible tumor–normal expression differences for GAS5. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GAS5 shows higher tumor expression in KIRC, COAD, LIHC, THCA, KIRP and CHOL. The KIRC box plot shows higher GAS5 RNA expression in tumor versus normal tissue (log2 FC = +1.379, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KIRCMaleAll+1.379<.00112view →
COADFemaleII,III,IV+1.692<.00110view →
LIHCFemaleII,III,IV+2.170<.0019view →
THCAAllIII,IV+1.009<.0019view →
KIRPAllII,III,IV+0.868.0046view →
CHOLAllAll+3.860<.0015view →
Green = repressed in tumor. all 13 lineages →

GAS5-KIRC

Tumor-vs-normal expression box plot for GAS5 in KIRC.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with GAS5 in patient tissues and cancer cell lines. In patient samples, GAS5 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
Protein (mass-spec)20,157LSCC (11128)view →
RNA16,827ACC (5447)view →