Q-omics provides the consensus-scored CYP3A7-CYP3A51P profile across patient tissues and cancer cell-line models. Additionally, CYP3A7-CYP3A51P RNA expression shows 5,462 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 CYP3A7-CYP3A51P in patient tissues and cancer cell lines. In patient samples, CYP3A7-CYP3A51P 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, CYP3A7-CYP3A51P RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in SKIN and NCI60_ALL.

Associated data type	Strength (# associated data)	Lineage of highest associated data
▼RNA
Protein (mass-spec)	5,462	GBM (2638)	view →
Function (mass-spec)	341	GBM (146)	view →

Associated data type	Strength (# associated data)	Lineage of highest associated data
▼shRNA
CRISPR	1,441	BLOOD_Leukemia (127)	view →
shRNA	1,426	SKIN (226)	view →
▼RNA
Inducing drug	1	NCI60_ALL (1)	view →