Q-omics provides the consensus-scored H3C3 profile across patient tissues and cancer cell-line models. Additionally, H3C3 RNA expression shows 16,550 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 H3C3 in patient tissues and cancer cell lines. In patient samples, H3C3 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, H3C3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and BLOOD_Leukemia.

Associated data type	Strength (# associated data)	Lineage of highest associated data
▼RNA
Protein (mass-spec)	16,550	GBM (6366)	view →
Function (mass-spec)	1,445	GBM (732)	view →

Associated data type	Strength (# associated data)	Lineage of highest associated data
▼CRISPR
RNA	2,273	SKIN (337)	view →
CRISPR	1,866	SOFT_TISSUE (136)	view →
▼RNA
RNA	4,347	BLOOD_Leukemia (1384)	view →
Function (RNA)	1,827	BLOOD_Leukemia (556)	view →
▼shRNA
shRNA	1,712	BLOOD_Leukemia (231)	view →
RNA	1,466	PANCREAS (244)	view →
▼Mutation
Mutation	509	BLOOD_Leukemia (432)	view →
RNA	16	BLOOD_Leukemia (11)	view →