GYG2-AS1

associated omics data
GYG2 antisense RNA 1Genealiases: []

Q-omics provides the consensus-scored GYG2-AS1 profile across patient tissues and cancer cell-line models. GYG2-AS1 expression is associated with patient survival in 13 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, GYG2-AS1 is differentially expressed in 1, with the highest sampling consensus in STAD. Additionally, GYG2-AS1 RNA expression shows 6,213 significant protein co-abundance associations, with the highest sampling consensus in OV. Together, these results highlight ACC, STAD, and OV as cancer lineages where GYG2-AS1 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 GYG2-AS1 survival associations across molecular data types. GYG2-AS1 RNA expression shows survival associations in the most cancer types (13). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
GYG2-AS1 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier13ACC (87)view →
This table ranks reproducible GYG2-AS1 RNA expression–survival associations across cancer types. High GYG2-AS1 expression shows unfavorable associations in ACC, KICH, UVM, READ and MESO, but favorable associations in OV. 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 GYG2-AS1 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ACCDFSTertileAll0.1350.667<.00187view →
KICHOSTertileAll0.0820.877<.00178view →
UVMOSTertileIII,IV0.0700.843<.00154view →
READDFSTertileAll0.2160.602.00354view →
OVDFSMedianIII,IV0.1950.125.00252view →
MESOOSTertileIV0.0360.602<.00136view →
Pink = unfavorable, green = favorable. all 13 lineages →

GYG2-AS1-ACC (DFS)

Kaplan–Meier survival curve for GYG2-AS1 RNA expression in ACC: high vs low expression groups.

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Tumor vs Normal expression

This table summarizes GYG2-AS1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in STAD for RNA.
GYG2-AS1 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot1STAD (4)view →
This table ranks reproducible tumor–normal expression differences for GYG2-AS1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GYG2-AS1 shows higher tumor expression in STAD. The STAD box plot shows higher GYG2-AS1 RNA expression in tumor versus normal tissue (log2 FC = +0.103, t-test p = .003).
LineageGenderStageFold-changepSampling consensus
STADAllAll+0.103.0034view →
Green = repressed in tumor. all 1 lineages →

GYG2-AS1-STAD

Tumor-vs-normal expression box plot for GYG2-AS1 in STAD.

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Cross-omics associations

This table shows molecular features associated with GYG2-AS1 in patient tissues and cancer cell lines. In patient samples, GYG2-AS1 shows the broadest associations at the RNA and protein expression levels, with OV recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
Protein (mass-spec)6,213OV (1952)view →
RNA5,244UVM (1856)view →