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Series GSE50412 Query DataSets for GSE50412
Status Public on Aug 29, 2013
Title Identification of CpG island methylator phenotype predicts the prognosis of small cell lung cancer
Organism Homo sapiens
Experiment type Methylation profiling by array
Summary We analyzed 28 fresh frozen samples from pure SCLC patients and 13 noncancerous lung tissues, using the Illumina Infinium 27k Human DNA methylation Beadchip v1.2
Background: Small cell lung cancer (SCLC) accounts for 13-15% of new lung cancer cases in worldwide and has the poor therapeutic outcomes with a median survival of just over one year. A CpG island methylate phenotype (CIMP) is well known as a methylator phenotype with characteristic promoter DNA methylation alterations, in colorectal cancers, glioblastoma and breast cancers, although there has been no report about any CIMP of SCLC. We investigated whether DNA methylation profiles can provide useful molecular subtyping of SCLC in terms of etiology and prognosis of SCLC. Results: We selected a total of 1741 most differentially methylated CpG sites (s.d. > 0.20) across the 28 SCLC tumor tissues in each DNA methylation platform, after an elimination of the probes related with the X- and Y- chromosome. Unsupervised hierarchical clustering of methylation data from SCLC samples reveals two major subgroups with different prognosis: the 5 years disease-free interval (DFI) rate of patients in cluster 1 (11.1%) was lower than that of patients in cluster 2 (61.57%) (p = 0.001). By multivariate analysis for DFI, both postoperative chemotherapy and cluster 1 were a significant prognostic factor (p = 0.002 and 0.002; respectively). Next, among 1220 genes with methylation and expression data both available, the CpG sites were ranked on the basis of the spearman’s correlation coefficient between cluster 1 and cluster 2 into an ascending order. Finally, we identified that fifty-five CpG sites were nagetively correlated and found that apoptosis pathway was a most differentially expressed. Conclusion: By comprehensive DNA methylation profiling, two distinct subgroups with different molecular and clinical phenotype were identified to evoke a CIMP of SCLC. We found some promoter markers in the apoptosis pathway could make a difference between the two groups, and we hope that our data can contribute to provide a useful resource for the construction of therapeutic strategy and the development of a new chemotherapeutic agent.
 
Overall design After genomic DNA was treated with sodium bisulfite, bisulfite-converted genomic DNA was analyzed using Illumina’s Infinium HumanMethylation27 BeadChip.
 
Contributor(s) Saito Y, Nakagawa K, Nagae G, Motoi N, Miyauchi E, Ninomiya H, Nakao M, Uehara H, Mun M, Okumura S, Nishio M, Satoh Y, Aburatani H, Ishikawa Y
Citation(s) 26748784
Submission date Aug 28, 2013
Last update date Jan 12, 2016
Contact name YUICHI SAITO
E-mail(s) k3699004@gmail.com
Phone 81335200111
Organization name The Cancer Institute of Japanese Foundation Cancer Research
Department Pathology
Street address 3-8-31 Ariake
City Koto
State/province Tokyo
ZIP/Postal code 1358550
Country Japan
 
Platforms (1)
GPL8490 Illumina HumanMethylation27 BeadChip (HumanMethylation27_270596_v.1.2)
Samples (41)
GSM1218807 genomic DNA from SCLC sample 1
GSM1218808 genomic DNA from SCLC sample 2
GSM1218809 genomic DNA from SCLC sample 3
Relations
BioProject PRJNA217439

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
GSE50412_RAW.tar 5.8 Mb (http)(custom) TAR
GSE50412_matrix_signal_intensities.txt.gz 5.8 Mb (ftp)(http) TXT
Processed data included within Sample table

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