| Literature DB >> 30005692 |
Ding Peng1,2,3,4,5, Guangzhe Ge2,6, Yanqing Gong1,3,4,5, Yonghao Zhan1,3,4,5, Shiming He1,3,4,5, Bao Guan1,3,4,5, Yifan Li1,3,4,5, Ziying Xu2, Han Hao1,3,4,5, Zhisong He1,3,4,5, Gengyan Xiong1,3,4,5, Cuijian Zhang1,3,4,5, Yue Shi2, Yuanyuan Zhou2, Weimin Ci7,8, Xuesong Li9,10,11,12, Liqun Zhou13,14,15,16.
Abstract
BACKGROUND: 5-Hydroxymethylcytosine (5hmC) is converted from 5-methylcytosine (5mC) by a group of enzymes termed ten-eleven translocation (TET) family dioxygenases. The loss of 5hmC has been identified as a hallmark of most types of cancer and is related to tumorigenesis and progression. However, the role of 5hmC in bladder cancer is seldom investigated. Vitamin C was recently reported to induce the generation of 5hmC by acting as a cofactor for TET dioxygenases. In this study, we explored the role of 5hmC in bladder cancer and the therapeutic efficacy of vitamin C in increasing the 5hmC pattern.Entities:
Keywords: 5-Hydroxymethylcytosine; Bladder cancer; TET; Vitamin C
Mesh:
Substances:
Year: 2018 PMID: 30005692 PMCID: PMC6045833 DOI: 10.1186/s13148-018-0527-7
Source DB: PubMed Journal: Clin Epigenetics ISSN: 1868-7075 Impact factor: 6.551
Clinicopathological characteristics of 135 patients with bladder urothelial carcinoma
| Characteristics | Total |
|---|---|
| Age, years, median (IQR) | 66 (56–74) |
| Gender | |
| female | 23 |
| male | 112 |
| Grade | |
| 2 | 35 |
| 3 | 100 |
| T stage | |
| Tis | 3 |
| T1 | 36 |
| T2 | 39 |
| T3 | 25 |
| T4 | 32 |
| N status | |
| Negative | 110 |
| Positive | 25 |
IQR interquartile range
Fig. 1Loss of 5hmC is a hallmark of bladder cancer. a IHC staining of 5hmC in the positive control (normal kidney) and representative bladder cancer and normal bladder samples. Scale bar, 30 μm. b Analysis of 5hmC levels in bladder cancer and normal bladder samples represented by a 5hmC score. Statistical significance was determined by the Mann-Whitney U test. c Dot blot assay of 5hmC levels in normal bladder tissues relative to bladder cancer tissues. d Kaplan-Meier survival curves of bladder cancer patients with high and low 5hmC staining. P value was calculated by the log-rank test. e Multivariate Cox regression analyses of bladder cancer cases
Association between clinicopathological characteristics and 5hmC level of bladder urothelial carcinoma
| Cohort characteristics | 5hmc level | Chi-square test | |
|---|---|---|---|
| Low | High | ||
| Grade | 0.514 | ||
| 2 | 20 | 18 | |
| 3 | 45 | 52 | |
| Age | 0.412 | ||
| < 65 | 27 | 34 | |
| ≥ 65 | 38 | 36 | |
| T stage | 0.010 | ||
| Tis–T1 | 12 | 27 | |
| T2–T4 | 53 | 43 | |
| N stage | 0.028 | ||
| Negetive | 47 | 62 | |
| Positive | 18 | 8 | |
Fig. 2Genome-wide mapping of 5hmC in bladder cancer and normal bladder. a The distribution of 5hmC densities in the chr2:128,141,348-128,726,952 regions by hMeDIP-seq. RefSeq genes are shown at the bottom. b The average 5hmC levels in normal bladder and bladder cancer tissues across different gene-associated regions. c Significant 5hmC peak numbers in normal bladder and bladder cancer samples in different genomic regions. Promoters were defined as − 2k to + 2k relative to the TSS. d KEGG pathway and GO term analysis results for significant 5hmC peak-associated genes. e The hMeDIP-seq results (left) and hMeDIP-qPCR/MeDip-qPCR verifications of representative TIMP2 and ITIH5 genes
Fig. 3Vitamin C treatment increases 5hmC levels and decreases malignant phenotypes in bladder cancer cells in vitro. a Dot blot assay of 5hmC levels in normal bladder and cancer cell lines. b The relative transcription levels measured by RT-qPCR of 5hmC-related genes and SVCTs in normal bladder and bladder cancer cells. c Dot blot assay of 5hmC levels of T24 cells at varying concentrations and time periods with vitamin C. d Dot blot assay of 5mC levels of T24 cells at varying concentrations and time periods with vitamin C. e MTS assay of cell viability for normal bladder and cancer cell lines at varying concentrations with vitamin C. f Apoptosis assay of T24 cells at varying concentrations with vitamin C. g Clone formation assay for normal bladder and cancer cell lines at varying concentrations with vitamin C. Statistical significance was determined by the Mann-Whitney U test
Fig. 4Vitamin C treatment increases 5hmC levels and decreases malignant phenotypes in T24 cells in vivo. a Tumor growth curves of xenografts with T24 cells treated with vitamin C or placebo. Tumor volume is shown as the mean ± SD (n = 8 mice). b Tumor weights of the indicated xenografts at the endpoint (39 days) are shown as the mean ± SD (n = 8 mice). Statistical significance was determined by the Mann-Whitney U test. c Images of xenograft tissues in vitamin C in treated and control groups (n = 8). d The body weights of mice during treatment (n = 8 mice). e 5hmC score and representative IHC staining of xenograft tissues. Scale bar, 50 μm. Statistical significance was determined by the Mann-Whitney U test
Fig. 5Vitamin C treatment re-establishes the 5hmC landscape in the bladder cancer cell epigenome. a Average 5hmC levels in T24 cells treated with vitamin C or control across different gene-associated regions. b KEGG pathway analysis results for significantly elevated 5hmC peak-associated genes. c KEGG pathway analysis results for overlapping 5hmC peak-associated genes. d GO term analysis results for overlapping 5hmC peak-associated genes. e The hMeDIP-seq results and hMeDIP-qPCR/MeDip-qPCR verifications of representative overlapping LATS2 and RND3 genes. f The enrichment scores of vitamin C-restored 5hmC peaks in different genomic elements. g IPA pathway enrichment analysis for enhancer-assigned genes
Fig. 6Vitamin C treatment shifted the bladder cancer cell transcriptome. a Volcano plot figure for differentially expressed genes treated with vitamin C. b, c KEGG pathway and GO term analysis results for differentially expressed genes, respectively. d Representative GSEA enrichment plots for enriched gene sets. e Venn diagrams showing the overlap between elevated 5hmC peak-associated genes and differentially expressed genes. f KEGG pathway analysis results for overlapping genes
Primer pairs for real-time PCR
| Genes | Sequence (5′ to 3′) | |
|---|---|---|
| GAPDH | Sense | GGTGAAGGTCGGAGTCAACG |
| Antisense | TGGGTGGAATCATATTGGAACA | |
| TET1 | Sense | AATGGAAGCACTGTGGTTTG |
| Antisense | ACATGGAGCTGCTCATCTTG | |
| TET2 | Sense | AATGGCAGCACATTGGTATG |
| Antisense | AGCTTCCACACTCCCAAACT | |
| TET3 | Sense | GAGGAGCGGTATGGAGAGAA |
| Antisense | AGTAGCTTCTCCTCCAGCGT | |
| SVCT1 | Sense | TCATCCTCCTCTCCCAGTACCT |
| Antisense | AGAGCAGCCACACGGTCAT | |
| SVCT2 | Sense | TCTTTGTGCTTGGATTTTCGAT |
| Antisense | ACGTTCAACACTTGATCGATTC | |
| IDH1 | Sense | TCCGTCACTTGGTGTGTAGG |
| Antisense | GGCTTGTGAGTGGATGGGTA | |
| IDH2 | Sense | TGAACTGCCAGATAATACGGG |
| Antisense | CTGACAGCCCCCACCTC | |
| L2HGDH | Sense | TCAAAAATTCATCCCTGAAATTACT |
| Antisense | CTACCAGATTTCCATCTCTATCCAG | |