SGSM3-AS1

associated omics data
SGSM3 antisense RNA 1Genealiases: []

Q-omics provides the consensus-scored SGSM3-AS1 profile across patient tissues and cancer cell-line models. SGSM3-AS1 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, SGSM3-AS1 is differentially expressed in 5, with the highest sampling consensus in UCEC. Additionally, SGSM3-AS1 RNA expression shows 15,257 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight MESO, UCEC, and UVM as cancer lineages where SGSM3-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 SGSM3-AS1 survival associations across molecular data types. SGSM3-AS1 RNA expression shows survival associations in the most cancer types (17). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
SGSM3-AS1 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier17MESO (47)view →
This table ranks reproducible SGSM3-AS1 RNA expression–survival associations across cancer types. High SGSM3-AS1 expression shows unfavorable associations in MESO, KIRC, ESCA, ACC and OV, but favorable associations in BLCA. The MESO Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .007). Together, the overview and detailed table identify MESO as the clearest survival context for SGSM3-AS1 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
MESODFSQuartileII,III,IV0.2530.468.00747view →
BLCAOSMedianII,III,IV0.7840.651<.00141view →
KIRCDFSMedianII,III,IV0.4310.606.00335view →
ESCAOSTertileAll0.3221.000.00422view →
ACCOSTertileIII,IV0.3860.733.00417view →
OVDFSQuartileIV0.3740.660.01512view →
Pink = unfavorable, green = favorable. all 17 lineages →

SGSM3-AS1-MESO (DFS)

Kaplan–Meier survival curve for SGSM3-AS1 RNA expression in MESO: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes SGSM3-AS1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in BRCA for RNA.
SGSM3-AS1 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot5BRCA (4)view →
This table ranks reproducible tumor–normal expression differences for SGSM3-AS1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SGSM3-AS1 shows lower tumor expression in UCEC, BRCA and THCA and higher tumor expression in PAAD and CHOL. The UCEC box plot shows higher SGSM3-AS1 RNA expression in normal versus tumor tissue (log2 FC = −0.375, t-test p = .014).
LineageGenderStageFold-changepSampling consensus
UCECAllIV−0.375.0144view →
BRCAAllIV−0.345.0014view →
THCAAllAll−0.083<.0014view →
PAADMaleAll+0.265.0172view →
CHOLAllAll+0.115.0181view →
Green = repressed in tumor. all 5 lineages →

SGSM3-AS1-UCEC

Tumor-vs-normal expression box plot for SGSM3-AS1 in UCEC.

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Cross-omics associations

This table shows molecular features associated with SGSM3-AS1 in patient tissues and cancer cell lines. In patient samples, SGSM3-AS1 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
RNA15,257UVM (5438)view →
Protein (mass-spec)10,175GBM (2985)view →