ELOCP8

Q-omics provides the consensus-scored ELOCP8 profile across patient tissues and cancer cell-line models. ELOCP8 expression is associated with patient survival in 1 of 34 cancer types, with the highest sampling consensus in KICH. Additionally, ELOCP8 RNA expression shows 15 significant gene co-expression associations, with the highest sampling consensus in SKCM. Together, these results highlight KICH, and SKCM as cancer lineages where ELOCP8 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 ELOCP8 survival associations across molecular data types. ELOCP8 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.

ELOCP8 data type	Survival analysis	Lineage consensus	Lineage of highest sampling consensus
RNA	Kaplan–Meier	1	KICH (90)	view →

This table ranks reproducible ELOCP8 RNA expression–survival associations across cancer types. High ELOCP8 expression shows unfavorable associations in KICH. The KICH 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 KICH as the clearest survival context for ELOCP8 RNA expression.

Lineage	Measure	Split	Stage	AUC1 high	AUC2 low	p	Sampling consensus
KICH	DFS	Tertile	All	0.081	0.904	<.001	90	view →

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

ELOCP8-KICH (DFS)

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