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Series GSE145156 Query DataSets for GSE145156
Status Public on Jun 24, 2020
Title Epigenome-Wide DNA Methylation Analysis of Small Cell Lung Cancer Cell Lines Suggests Potential Chemotherapy Targets
Organism Homo sapiens
Experiment type Methylation profiling by genome tiling array
Summary Small cell lung cancer (SCLC) is an aggressive neuroendocrine lung cancer. SCLC progression and treatment resistance involve epigenetic processes. However, links between SCLC DNA methylation and drug response remain unclear. We performed an epigenome-wide study of 66 human SCLC cell lines using the Illumina Infinium MethylationEPIC BeadChip array. Correlations of SCLC DNA methylation and gene expression with in-vitro response to 526 antitumor agents were examined. Results:We found multiple significant correlations between DNA methylation and chemosensitivity. A potentially important association was observed for TREX1,  which encodes the 3’ exonuclease I that serves as a STING antagonist in the regulation of a cytosolic DNA-sensing pathway. Increased methylation and low expression of  TREX1  were associated with the sensitivity to Aurora kinase inhibitors AZD-1152, SCH-1473759, SNS-314, and TAK-901, the CDK inhibitor R-547, the Vertex ATR inhibitor Cpd 45 and the mitotic spindle disruptor vinorelbine. Compared with cell lines of other cancer types, TREX1  had low mRNA expression and increased upstream region methylation in SCLC, suggesting a possible relationship with SCLC sensitivity to Aurora kinase inhibitors.  We also identified multiple additional correlations indicative of potential mechanisms of chemosensitivity. Methylation of the 3’UTR of  CEP350  and  MLPH , involved in centrosome machinery and microtubule tracking, respectively, was associated with response to Aurora kinase inhibitors and other agents.  EPAS1  methylation was associated with response to Aurora kinase inhibitors, a PLK-1 inhibitor and a Bcl-2 inhibitor.  KDM1A methylation was associated with PLK-1 inhibitors and a KSP inhibitor. Increased promoter methylation of  SLFN11  was correlated with resistance to DNA damaging agents, as a result of low or no  SLFN11  expression. The 5’ UTR of the epigenetic modifier  EZH2  was associated with response to Aurora kinase inhibitors and a FGFR inhibitor. Methylation and expression of YAP1  were correlated with response to an mTOR inhibitor. Among non-neuroendocrine markers,  EPHA2  was associated with response to Aurora kinase inhibitors and a PLK-1 inhibitor, and  CD151  with Bcl-2 inhibitors. Conclusions Multiple associations indicate potential epigenetic mechanisms affecting SCLC response to chemotherapy and suggest targets for combination therapies. While many correlations were not specific to SCLC lineages, several lineage markers were associated with specific agents.
 
Overall design Methylation measurements for all cell lines were generated in a single batch using Illumina Infinium MethylationEPIC BeadChip (Illumina, Inc).
 
Contributor(s) Krushkal J, Silvers T, Reinhold WC, Sonkin D, Vural S, Connelly J, Varma S, Meltzer PS, Kunkel M, Rapisarda A, Evans D, Pommier Y, Teicher BA
Citation(s) 32586373, 33086069, 36325065
Submission date Feb 12, 2020
Last update date Nov 17, 2022
Contact name Sudhir Varma
E-mail(s) sudhirv4rma@gmail.com
Organization name HiThru Analytics
Street address 1215 Wessex Pl
City Princeton
State/province NJ
ZIP/Postal code 08540
Country USA
 
Platforms (1)
GPL21145 Infinium MethylationEPIC
Samples (70)
GSM4307624 A549
GSM4307625 COLO 668
GSM4307626 COLO L279
Relations
BioProject PRJNA606243

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE145156_Matrix-signal-intensities.txt.gz 332.1 Mb (ftp)(http) TXT
GSE145156_RAW.tar 1.1 Gb (http)(custom) TAR (of IDAT)
Processed data included within Sample table

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