Project description: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.

Project description: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. After genomic DNA was treated with sodium bisulfite, bisulfite-converted genomic DNA was analyzed using Illumina’s Infinium HumanMethylation27 BeadChip.

Project description:BACKGROUND & AIM: Sessile serrated adenoma/polyps (SSA/Ps) are the likely culprit of ~20% colon cancers but they are molecularly poorly understood. We investigated their epigenetic phenotype using high-throughput analysis of DNA methylation and gene expression. METHODS: 17 SSA/Ps and, as a comparative group, 15 conventional adenomas (all with matched samples of normal mucosa) were prospectively collected during colonoscopy. DNA from the 64 tissues was analyzed, via bisulfite next generation sequencing, for methylation at ~2.7 million CpG sites located prevalently in gene regulatory regions spanning 80.5Mb (~2.5% of the genome). The transcriptome of these samples was also investigated using RNA sequencing. An independent series of 61 archival lesions was used for targeted verification of DNA methylation. RESULTS: Both SSA/Ps and conventional adenomas showed a profound remodelling of their methylome. Cytosine hypermethylation was more pervasive in SSA/Ps than adenomas, in terms of number of hypermethylated regions (22,147 vs 15,965, respectively) and genes (4938 vs 3443, respectively). In addition, the extent of hypermethylation in a given region was higher in SSA/Ps than adenomas. This methylation pattern of SSA/Ps was reminiscent of the CpG island methylator phenotype (CIMP) of their descendant cancers. We have called this phenotype proto-CIMP since most of the hypermethylation occurred in CpG islands and shores. SSA/Ps were also protected from a wave of demethylation that instead occurred in adenomas outside of CpG islands/shores (4288 vs 18,417 hypomethylated regions in SSAPs vs adenomas). Verification studies of six hypermethylated regions demonstrated the high potential of DNA methylation markers for predicting the diagnosis of SSA/Ps and/or adenomas. Proto-CIMP of SSA/Ps was surprisingly associated with a higher number of up- (618) than downregulated (349) genes, while adenomas showed the opposite trend (516 up- vs 712 downregulated genes). CONCLUSIONS: The epigenetic landscape of SSA/Ps differs substantially from that of conventional adenomas. This huge amount of epigenetic variation represents a rich source of promising diagnostic tools, such as novel DNA markers or histologic stainings, for the tailored management of the two most frequent colon cancer precursors.

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Association between gut microbiota and CpG island methylator phenotype in colorectal cancer

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