Prediction of prognosis for small cell lung cancer based on genome-wide methylation analyses with surgical materials and robust clustering methods

ABSTRACT: Methylation is closely involved in the development of various carcinomas. However, little datasets are available for small cell lung carcinoma (SCLC) due to the scarcity of fresh tumor samples. The aim of this study is to investigate the comprehensive genome-wide methylation profile of SCLC to predict the prognosis after surgical treatment. We investigated the high DNA methylated and low gene expression sites using 25 SCLC tumor tissues. First, we selected most differentially methylated CpG sites across the tumor tissues. Following hierarchical clustering (HC) and non-negative matrix factorization (NMF), gene ontology analysis was performed using DAVID software. Clustering of SCLC tumors led to the important identification of a CpG island methylator phenotype (CIMP) of SCLC, and showed tha

ORGANISM(S): Homo sapiens

SUBMITTER: SAITO YUICHI 

PROVIDER: S-ECPF-GEOD-62021 | biostudies-other |

REPOSITORIES: biostudies-other