MIR767

Q-omics provides the consensus-scored MIR767 profile across patient tissues and cancer cell-line models. MIR767 expression is associated with patient survival in 3 of 34 cancer types, with the highest sampling consensus in UCEC. Additionally, MIR767 RNA expression shows 10,529 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight UCEC, and TGCT as cancer lineages where MIR767 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 MIR767 survival associations across molecular data types. MIR767 RNA expression shows survival associations in the most cancer types (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.

MIR767 data type	Survival analysis	Lineage consensus	Lineage of highest sampling consensus
RNA	Kaplan–Meier	3	UCEC (108)	view →

This table ranks reproducible MIR767 RNA expression–survival associations across cancer types. High MIR767 expression shows unfavorable associations in UCEC, STAD and HNSC. The UCEC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .002). Together, the overview and detailed table identify UCEC as the clearest survival context for MIR767 RNA expression.

Lineage	Measure	Split	Stage	AUC1 high	AUC2 low	p	Sampling consensus
UCEC	OS	Tertile	All	0.110	0.679	.002	108	view →
STAD	DFS	Tertile	All	0.234	0.723	<.001	72	view →
HNSC	DFS	Tertile	II,III,IV	0.196	0.613	.019	54	view →

Pink = unfavorable, green = favorable. all 3 lineages →

MIR767-UCEC (OS)

Explore this curve interactively →