QL-X-138

Across CCLE and GDSC cell-line panels, response to QL-X-138 is significantly associated with the protein-level pathway activity of multiple pathways, with LIVER cell lines showing a particularly strong set of associations.

The most reproducible QL-X-138 response-associated pathways across cancer lineages are Hormone metabolic process, Negative regulation of transcription of nucleolar large rRNA by RNA polymerase I, and Positive regulation of phospholipid biosynthetic process, each associated with drug response in up to 8 lineages. Since the analysis identifies associations rather than directional relationships, both response-to-biomarker and biomarker-to-response views are provided.

Each biomarker is linked to its corresponding Q-omics profile. The scatter plot shows the strongest observed association, QL-X-138 response versus Hormone metabolic process protein-level pathway activity in LIVER (Pearson r = -0.57).

Protein-level pathway activity biomarkers of QL-X-138 response

Ranked by combined sampling and lineage consensus. X-score (response→biomarker) and Y-score (biomarker→response) 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 pathway	X-score	Y-score	p(X)	p(Y)	Sampling consensus	Lineage consensus
LIVER	Hormone metabolic process →	-0.257	-1.244	.041	.017	2	8
PANCREAS	Negative regulation of transcription of nucleolar large rRNA by RNA polymerase I →	+0.187	+0.771	.020	.005	3	7
BONE	Positive regulation of phospholipid biosynthetic process →	-0.894	-1.308	.009	.001	3	7
OESOPHAGUS	Renal system development →	-0.215	-0.658	.013	.013	2	8
SOFT_TISSUE	Glycerol metabolic process →	-0.209	-0.505	.014	.016	3	7
LIVER	Positive regulation of mitotic cell cycle phase transition →	+1.096	+1.674	.008	.012	3	7

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

QL-X-138 response vs Hormone metabolic process — LIVER

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