Systems-level network modeling of Small Cell Lung Cancer subtypes identifies master regulators and destabilizers
Fig 2
Consensus clustering and WGCNA of 50 SCLC cell lines reveals four subtypes differentiated by gene modules.
A. Consensus clustering with k = 4 gives most consistent clusters. K = 3 and K = 5 add complexity without a corresponding increase in accuracy. LDA plot shows separation of 4 clusters, with non-SCLC cell lines falling near non-NE cell lines. B. Current biomarkers in the field of SCLC are able to distinguish between three of the subtypes; The fourth subtype, NEv2, is not separable from NE using markers from SCLC literature.