Q-omics provides the consensus-scored ELOCP14 profile across patient tissues and cancer cell-line models. ELOCP14 expression is associated with patient survival in 4 of 34 cancer types, with the highest sampling consensus in ESCA. Additionally, ELOCP14 RNA expression shows 136 significant mutation-linked associations, with the highest sampling consensus in SKCM. Together, these results highlight ESCA, and SKCM as cancer lineages where ELOCP14 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.

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Survival associations

This table summarizes ELOCP14 survival associations across molecular data types. ELOCP14 RNA expression shows survival associations in the most cancer types (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.

ELOCP14 data type	Survival analysis	Lineage consensus	Lineage of highest sampling consensus
RNA	Kaplan–Meier	4	ESCA (81)	view →

This table ranks reproducible ELOCP14 RNA expression–survival associations across cancer types. High ELOCP14 expression shows unfavorable associations in ESCA, STAD, LAML and THCA. The ESCA 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 ESCA as the clearest survival context for ELOCP14 RNA expression.

Lineage	Measure	Split	Stage	AUC1 high	AUC2 low	p	Sampling consensus
ESCA	OS	Tertile	All	0.328	0.711	<.001	81	view →
STAD	OS	Tertile	IV	0.117	0.560	.018	45	view →
LAML	DFS	Tertile	All	0.028	0.572	<.001	36	view →
THCA	DFS	Tertile	All	0.541	0.841	.015	27	view →

Pink = unfavorable, green = favorable. all 4 lineages →

ELOCP14-ESCA (OS)

Kaplan–Meier survival curve for ELOCP14 RNA expression in ESCA: high vs low expression groups.

Explore this curve interactively →

Cross-omics associations

This table shows molecular features associated with ELOCP14 in patient tissues and cancer cell lines. In patient samples, ELOCP14 shows the broadest associations at the RNA and protein expression levels, with SKCM recurring as the lineage with the largest associated feature set.

Associated data type	Strength (# associated data)	Lineage of highest associated data
▼RNA
Mutation	136	SKCM (118)	view →
RNA	119	STAD (42)	view →