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Colorectal cancer DNA methylation patterns from patients in Manaus, Brazil

Overview of attention for article published in Biological Research, September 2015
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Title
Colorectal cancer DNA methylation patterns from patients in Manaus, Brazil
Published in
Biological Research, September 2015
DOI 10.1186/s40659-015-0042-7
Pubmed ID
Authors

Fabiana Greyce Oliveira Almeida, Priscila Ferreira de Aquino, Afonso Duarte Leão de Souza, Antonia Queiroz Lima de Souza, Sonia do Carmo Vinhote, Thaís Messias Mac-Cormick, Marcelo Soares da Mota Silva, Sidney Raimundo Silva Chalub, Juliana de Saldanha da Gama Fischer, Paulo Costa Carvalho, Maria da Gloria da Costa Carvalho

Abstract

DNA methylation is commonly linked with the silencing of the gene expression for many tumor suppressor genes. As such, determining DNA methylation patterns should aid, in times to come, in the diagnosis and personal treatment for various types of cancers. Here, we analyzed the methylation pattern from five colorectal cancer patients from the Amazon state in Brazil for four tumor suppressor genes, viz.: DAPK, CDH1, CDKN2A, and TIMP2 by employing a polymerase chain reaction (PCR) specific to methylation. Efforts in the study of colorectal cancer are fundamental as it is the third most of highest incidence in the world. Tumor biopsies were methylated in 1/5 (20 %), 2/5 (40 %), 4/5 (80 %), and 4/5 (80 %) for CDH1, CDKN2A, DAPK, and TIMP2 genes, respectively. The margin biopsies were methylated in 3/7 (43 %), 2/7 (28 %), 7/7 (100 %), and 6/7 (86 %) for CDH1, CDKN2A, DAPK, and TIMP2, respectively. Our findings showed DAPK and TIMP2 to be methylated in most samples from both tumor tissues and adjacent non-neoplastic margins; thus presenting distinct methylation patterns. This emphasizes the importance of better understanding of the relation of these patterns with cancer in the context of different populations.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 27%
Student > Bachelor 4 15%
Other 2 8%
Student > Doctoral Student 2 8%
Student > Ph. D. Student 2 8%
Other 2 8%
Unknown 7 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 27%
Medicine and Dentistry 5 19%
Nursing and Health Professions 2 8%
Agricultural and Biological Sciences 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 0 0%
Unknown 10 38%
Attention Score in Context

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 08 October 2015.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from Biological Research
#527
of 642 outputs
Outputs of similar age
#205,541
of 280,474 outputs
Outputs of similar age from Biological Research
#8
of 17 outputs
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So far Altmetric has tracked 642 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
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We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.