Q-omics provides the consensus-scored SCO2 profile across patient tissues and cancer cell-line models. Additionally, SCO2 protein abundance shows 12,941 significant protein co-abundance associations, with the highest sampling consensus in GBM.

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 SCO2 in patient tissues and cancer cell lines. In patient samples, SCO2 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, SCO2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LIVER, while CRISPR and shRNA rows add functional-dependency signals in SKIN and BLOOD_Leukemia.

Associated data type	Strength (# associated data)	Lineage of highest associated data
▼Protein (mass-spec)
Protein (mass-spec)	12,941	GBM (3713)	view →
RNA	6,311	LSCC (1445)	view →
▼RNA
Protein (mass-spec)	10,722	GBM (3181)	view →
Function (mass-spec)	882	GBM (292)	view →

Associated data type	Strength (# associated data)	Lineage of highest associated data
▼CRISPR
CRISPR	2,303	LIVER (342)	view →
RNA	1,646	LIVER (571)	view →
▼RNA
RNA	7,864	SKIN (2826)	view →
Function (RNA)	3,034	SKIN (1011)	view →
▼Mutation
Mutation	3,980	BLOOD_Leukemia (2688)	view →
▼Protein (mass-spec)
RNA	3,832	BLOOD_Lymphoma (1649)	view →
Function (RNA)	1,735	BLOOD_Lymphoma (719)	view →