Q-omics provides the consensus-scored CSNKA2IP profile across patient tissues and cancer cell-line models. Additionally, CSNKA2IP RNA expression shows 3,511 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 CSNKA2IP in patient tissues and cancer cell lines. In patient samples, CSNKA2IP 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, CSNKA2IP RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia.

Associated data type	Strength (# associated data)	Lineage of highest associated data
▼RNA
Protein (mass-spec)	3,511	GBM (2335)	view →
Function (mass-spec)	344	GBM (210)	view →

Associated data type	Strength (# associated data)	Lineage of highest associated data
▼RNA
RNA	646	BREAST (156)	view →
Mutation	139	BLOOD_Leukemia (88)	view →