Q-omics provides the consensus-scored OR10X1 profile across patient tissues and cancer cell-line models. Additionally, OR10X1 RNA expression shows 17 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.

Premium analyses for OR10X1 — synthetic lethality, tumor antigen, and pembrolizumab response.

View premium →

Cross-omics associations

This table shows molecular features associated with OR10X1 in patient tissues and cancer cell lines. In patient samples, OR10X1 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, OR10X1 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_SCLC and KIDNEY.

Associated data type	Strength (# associated data)	Lineage of highest associated data
▼RNA
Protein (mass-spec)	17	GBM (11)	view →

Associated data type	Strength (# associated data)	Lineage of highest associated data
▼Mutation
Mutation	2,691	LARGE_INTESTINE (2345)	view →
RNA	20	LUNG_SCLC (5)	view →
▼shRNA
RNA	1,363	KIDNEY (292)	view →
shRNA	1,349	KIDNEY (166)	view →
▼RNA
RNA	75	BLOOD_Leukemia (75)	view →
Mutation	4	BLOOD_Leukemia (4)	view →