Simon Heeke, Carl M Gay, Marcos R Estecio, Hai Tran, Benjamin B Morris, Bingnan Zhang, Ximing Tang, Maria Gabriela Raso, Pedro Rocha, Siqi Lai, Edurne Arriola, Paul Hofman, Veronique Hofman, Prasad Kopparapu, Christine M Lovly, Kyle Concannon, Luana Guimaraes De Sousa, Whitney Elisabeth Lewis, Kimie Kondo, Xin Hu, Azusa Tanimoto, Natalie I Vokes, Monique B Nilsson, Allison Stewart, Maarten Jansen, Ildikó Horváth, Mina Gaga, Vasileios Panagoulias, Yael Raviv, Danny Frumkin, Adam Wasserstrom, Aharona Shuali, Catherine A Schnabel, Yuanxin Xi, Lixia Diao, Qi Wang, Jianjun Zhang, Peter Van Loo, Jing Wang, Ignacio I Wistuba, Lauren A Byers, John V Heymach
Small cell lung cancer (SCLC) is an aggressive malignancy composed of distinct transcriptional subtypes, but implementing subtyping in the clinic has remained challenging, particularly due to limited tissue availability. Given the known epigenetic regulation of critical SCLC transcriptional programs, we hypothesized that subtype-specific patterns of DNA methylation could be detected in tumor or blood from SCLC patients. Using genomic-wide reduced-representation bisulfite sequencing (RRBS) in two cohorts totaling 179 SCLC patients and using machine learning approaches, we report a highly accurate DNA methylation-based classifier (SCLC-DMC) that can distinguish SCLC subtypes...
February 12, 2024: Cancer Cell