USP17L9P

Q-omics provides the consensus-scored USP17L9P profile across patient tissues and cancer cell-line models. USP17L9P expression is associated with patient survival in 1 of 34 cancer types, with the highest sampling consensus in ESCA. Additionally, USP17L9P RNA expression shows 1 significant protein co-abundance associations, with the highest sampling consensus in UCEC. Together, these results highlight ESCA, and UCEC as cancer lineages where USP17L9P 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 USP17L9P survival associations across molecular data types. USP17L9P 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.

USP17L9P data type	Survival analysis	Lineage consensus	Lineage of highest sampling consensus
RNA	Kaplan–Meier	1	ESCA (27)	view →

This table ranks reproducible USP17L9P RNA expression–survival associations across cancer types. High USP17L9P 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 = .019). Together, the overview and detailed table identify ESCA as the clearest survival context for USP17L9P RNA expression.

Lineage	Measure	Split	Stage	AUC1 high	AUC2 low	p	Sampling consensus
ESCA	OS	Tertile	II,III,IV	0.248	0.686	.019	27	view →

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

USP17L9P-ESCA (OS)

Explore this curve interactively →