Negative regulation of cell-matrix adhesion

Across TCGA patient cohorts, RNA activity of the Negative regulation of cell-matrix adhesion pathway is significantly associated with the protein abundance of multiple proteins, with the GBM cohort showing a particularly strong set of associations.

The most reproducible pathway-associated proteins across cancer lineages are SET_S63, ZC3H8, and TOP3A, each associated with the pathway in up to 3 cancer types. Since the analysis shows associations rather than directional relationships, both pathway-to-partner and partner-to-pathway views are reported.

Each partner is linked to its corresponding Q-omics profile. The scatter plot shows the strongest association, Negative regulation of cell-matrix adhesion activity versus SET_S63 in GBM (Pearson r = -0.30).

Pathway-associated proteins by consensus

Ranked by combined sampling and lineage consensus. X-score (pathway→partner) and Y-score (partner→pathway) are standardized regression coefficients; both directions are reported because the association is undirected. The reported p-values are derived from the association test.

Lineage	Partner protein	X-score	Y-score	p(X)	p(Y)	Sampling consensus	Lineage consensus
GBM	SET_S63 →	-0.522	-0.244	<.001	<.001	3	3
GBM	ZC3H8 →	-0.499	-0.271	<.001	<.001	3	3
LSCC	TOP3A →	-0.360	-0.772	<.001	<.001	3	3
GBM	BUD13_S201 →	-0.335	-0.243	.003	<.001	3	3
GBM	IWS1_S438 →	-1.072	-0.458	<.001	.002	3	3
LUAD	PCF11_S372 →	-0.537	-1.128	.002	<.001	3	3

Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0001953 vs SET_S63 — GBM

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