MIR3156-3

Q-omics provides the consensus-scored MIR3156-3 profile across patient tissues and cancer cell-line models. MIR3156-3 expression is associated with patient survival in 1 of 34 cancer types, with the highest sampling consensus in ESCA. Additionally, MIR3156-3 RNA expression shows 4,065 significant gene co-expression associations, with the highest sampling consensus in STAD. Together, these results highlight ESCA, and STAD as cancer lineages where MIR3156-3 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 MIR3156-3 survival associations across molecular data types. MIR3156-3 RNA expression shows survival associations in the most cancer types (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.

MIR3156-3 data type	Survival analysis	Lineage consensus	Lineage of highest sampling consensus
RNA	Kaplan–Meier	1	ESCA (18)	view →

This table ranks reproducible MIR3156-3 RNA expression–survival associations across cancer types. High MIR3156-3 expression shows unfavorable associations in ESCA. The ESCA Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .035). Together, the overview and detailed table identify ESCA as the clearest survival context for MIR3156-3 RNA expression.

Lineage	Measure	Split	Stage	AUC1 high	AUC2 low	p	Sampling consensus
ESCA	OS	Tertile	II,III,IV	0.321	0.685	.035	18	view →

Pink = unfavorable, green = favorable. all 1 lineages →

MIR3156-3-ESCA (OS)

Explore this curve interactively →