↓ Skip to main content

SHMT1 C1420T polymorphism contributes to the risk of non‐Hodgkin lymphoma: evidence from 7309 patients

Overview of attention for article published in Cancer Communications, December 2015
Altmetric Badge

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
10 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
SHMT1 C1420T polymorphism contributes to the risk of non‐Hodgkin lymphoma: evidence from 7309 patients
Published in
Cancer Communications, December 2015
DOI 10.1186/s40880-015-0065-z
Pubmed ID
Authors

Yi-Wei Wang, Shao-Dan Zhang, Wen-Ji Xue, Mei-Ling Zhu, Lei-Zhen Zheng

Abstract

Serine hydroxymethyltransferase 1 (SHMT1) is a key enzyme in the folate metabolic pathway that plays an important role in biosynthesis by providing one carbon unit. SHMT1 C1420T may lead to the abnormal biosynthesis involved in DNA synthesis and methylation, and it may eventually increase cancer susceptibility. Many epidemiologic studies have explored the association between C1420T polymorphism and the risk of non-Hodgkin lymphoma (NHL), but the results have been contradictory. Therefore, we performed this meta-analysis to evaluate the relationship. The meta-analyses were conducted to evaluate the effect of SHMT1 C1420T polymorphism on NHL risk. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to measure the strength of the association. Eight studies encompassing 3232 cases and 4077 controls were included. A statistically significant association was found between SHMT1 C1420T polymorphism and NHL risk under the allelic comparison (T vs. C: OR = 1.09, 95% CI 1.01-1.17); a borderline association was found between SHMT1 C1420T polymorphism and NHL risk under the homozygote model (TT vs. CC: OR = 1.18, 95% CI 1.00-1.39) and the dominant model (CT+TT vs. CC: OR = 1.10, 95% CI 1.00-1.21). SHMT1 C1420T polymorphism may be associated with NHL risk, which needs to be validated in large, prospective studies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 20%
Student > Master 2 20%
Other 2 20%
Unspecified 1 10%
Unknown 3 30%
Readers by discipline Count As %
Medicine and Dentistry 3 30%
Biochemistry, Genetics and Molecular Biology 1 10%
Unspecified 1 10%
Neuroscience 1 10%
Immunology and Microbiology 1 10%
Other 0 0%
Unknown 3 30%