MIR339

associated omics data
microRNA 339Genealiases: MIRN339 · hsa-mir-339 · mir-339

Q-omics provides the consensus-scored MIR339 profile across patient tissues and cancer cell-line models. MIR339 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, MIR339 is differentially expressed in 15, with the highest sampling consensus in KICH. Additionally, MIR339 RNA expression shows 12,567 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight ACC, KICH, and THYM as cancer lineages where MIR339 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 MIR339 survival associations across molecular data types. MIR339 RNA expression shows survival associations in the most cancer types (20). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
MIR339 data typeSurvival analysisLineage consensusLineage of highest sampling consensus
RNAKaplan–Meier20ACC (94)view →
This table ranks reproducible MIR339 RNA expression–survival associations across cancer types. High MIR339 expression shows unfavorable associations in ACC, LIHC, CESC, MESO, UVM and 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 MIR339 RNA expression.
LineageMeasureSplitStageAUC1
high
AUC2
low
pSampling consensus
ACCDFSMedianAll0.4360.729<.00194view →
LIHCOSTertileIII,IV0.3000.729<.00159view →
CESCDFSMedianIII,IV0.5780.852.00340view →
MESODFSMedianIII,IV0.2790.454.00533view →
UVMOSMedianII,III,IV0.7490.947.00332view →
LGGDFSMedianAll0.3360.546<.00129view →
Pink = unfavorable, green = favorable. all 20 lineages →

MIR339-ACC (DFS)

Kaplan–Meier survival curve for MIR339 RNA expression in ACC: high vs low expression groups.

Explore this curve interactively →

Tumor vs Normal expression

This table summarizes MIR339 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15. The strongest signals are observed in KICH for RNA.
MIR339 data typeExpression analysisLineage consensusLineage of highest sampling consensus
RNABox plot15KICH (11)view →
This table ranks reproducible tumor–normal expression differences for MIR339. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MIR339 shows lower tumor expression in KICH, BLCA, UCEC, BRCA, COAD and THCA. The KICH box plot shows higher MIR339 RNA expression in normal versus tumor tissue (log2 FC = −1.522, t-test p < 0.001).
LineageGenderStageFold-changepSampling consensus
KICHAllIII,IV−1.522<.00111view →
BLCAMaleIII,IV−1.087<.0016view →
UCECAllAll−1.042<.0016view →
BRCAFemaleII,III,IV−0.531<.0016view →
COADAllII,III,IV−0.513.0016view →
THCAMaleIII,IV−1.138.0055view →
Green = repressed in tumor. all 15 lineages →

MIR339-KICH

Tumor-vs-normal expression box plot for MIR339 in KICH.

Explore this plot interactively →

Cross-omics associations

This table shows molecular features associated with MIR339 in patient tissues and cancer cell lines. In patient samples, MIR339 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
Associated data typeStrength (# associated data)Lineage of highest associated data
RNA
RNA12,567THYM (3041)view →
Function (RNA)6,995THCA (2876)view →