Q-omics provides the consensus-scored RELA-DT profile across patient tissues and cancer cell-line models. Additionally, RELA-DT RNA expression shows 13,899 significant protein co-abundance associations, with the highest sampling consensus in LSCC.

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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Cross-omics associations

This table shows molecular features associated with RELA-DT in patient tissues and cancer cell lines. In patient samples, RELA-DT shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, RELA-DT RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUAD.

Associated data type	Strength (# associated data)	Lineage of highest associated data
▼RNA
Protein (mass-spec)	13,899	LSCC (5904)	view →
Function (mass-spec)	1,170	LSCC (505)	view →

Associated data type	Strength (# associated data)	Lineage of highest associated data
▼shRNA
CRISPR	1,360	LARGE_INTESTINE (119)	view →
shRNA	1,332	LUNG_NSCLC_LUAD (183)	view →