Q-omics provides the consensus-scored OR2L8 profile across patient tissues and cancer cell-line models. Additionally, OR2L8 RNA expression shows 8,376 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 OR2L8 in patient tissues and cancer cell lines. In patient samples, OR2L8 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, OR2L8 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and LUNG_NSCLC_LUAD.

Associated data type	Strength (# associated data)	Lineage of highest associated data
▼RNA
Protein (mass-spec)	8,376	GBM (5282)	view →
Function (mass-spec)	735	GBM (498)	view →
▼Mutation
RNA	4	SCLC (4)	view →

Associated data type	Strength (# associated data)	Lineage of highest associated data
▼shRNA
RNA	2,912	BONE (731)	view →
shRNA	2,018	BONE (263)	view →
▼RNA
RNA	1,486	BLOOD_Leukemia (452)	view →
Mutation	333	LUNG_NSCLC_LUAD (100)	view →
▼Mutation
Mutation	350	SKIN (252)	view →
RNA	9	LUNG_NSCLC_LUAD (6)	view →