| Title |
Aberrant DNA methylation of acute myeloid leukemia and colorectal cancer in a Chinese pedigree with a MLL3 germline mutation
|
|---|---|
| Published in |
Tumor Biology, July 2016
|
| DOI | 10.1007/s13277-016-5130-y |
| Pubmed ID | |
| Authors |
Fuhua Yang, Qiang Gong, Wentao Shi, Yunding Zou, Jingmin Shi, Fengjiang Wei, Qingrong Li, Jieping Chen, Wei-Dong Li |
| Abstract |
Unlike genetic aberrations, epigenetic alterations do not modify the deoxyribonucleic acid (DNA) coding sequence and can be reversed pharmacologically. Identifying a particular epigenetic alteration such as abnormal DNA methylation may provide better understanding of cancers and improve current therapy. In a Chinese pedigree with colorectal carcinoma and acute myeloid leukemia, we examined the genome-wide DNA methylation level of cases and explored the role of methylation in pathogenesis and progression. DNA methylation status in the four cases, which all harbor a MLL3 germline mutation, differed from that of the normal control, and hypermethylation was more prevalent. Also, more CpG sites were hypermethylated in the acute-phase AML patient than in the AML patient in remission. Fifty-nine hyper- or hypomethylated genes were identified as common to all four cases. Genome-wide DNA methylation analysis demonstrated that differentially methylated sites among acute myeloid leukemia and colorectal carcinoma cases and the control were in both promoters (CpG island) and gene body regions (shelf/shore areas). Hypermethylation was more prevalent in cancer cases. The study supports the suggestion that the level of DNA methylation changes in AML progression. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 33% |
| Student > Doctoral Student | 1 | 11% |
| Librarian | 1 | 11% |
| Student > Ph. D. Student | 1 | 11% |
| Student > Bachelor | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 2 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 33% |
| Nursing and Health Professions | 1 | 11% |
| Agricultural and Biological Sciences | 1 | 11% |
| Computer Science | 1 | 11% |
| Medicine and Dentistry | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 2 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 July 2016.
All research outputs
#20,335,770
of 22,880,691 outputs
Outputs from Tumor Biology
#1,835
of 2,623 outputs
Outputs of similar age
#308,432
of 354,435 outputs
Outputs of similar age from Tumor Biology
#59
of 92 outputs
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