| Title |
Influence of XPC, XPD, XPF, and XPG gene polymorphisms on the risk and the outcome of acute myeloid leukemia in a Romanian population
|
|---|---|
| Published in |
Tumor Biology, January 2016
|
| DOI | 10.1007/s13277-016-4815-6 |
| Pubmed ID | |
| Authors |
Claudia Bănescu, Mihaela Iancu, Adrian P. Trifa, Minodora Dobreanu, Valeriu G. Moldovan, Carmen Duicu, Florin Tripon, Andrei Crauciuc, Cristina Skypnyk, Alina Bogliș, Erzsebeth Lazar |
| Abstract |
XPC, XPD, XPF, and XPG genes are implicated in the nucleotide excision repair (NER) system. Gene polymorphisms in NER repair system may influence the individual's capacity to recognize and repair DNA lesions, thus increasing the cancer risk. We hypothesized that these gene polymorphisms might influence the probability of developing acute myeloid leukemia (AML). We investigated the XPC, XPD, XPF, and XPG gene polymorphisms in 108 AML cases and 163 healthy controls. Also cytogenetic analyses besides FLT3 and DNMT3A mutations status were investigated. We found that variant genotypes (heterozygous and homozygous) of XPD 2251A > C and 22541A > C and the heterozygous genotype of XPG 3507G > C were associated with the risk of developing AML (OR = 2.55; 95% CI = 1.53-4.25; p value <0.001; OR = 1.66, 95 % CI = 1.02-2.72; p value = 0.047, and OR = 2.36; 95 % CI = 1.32-4.21; p value = 0.004, respectively). No association was found between white blood cell counts, FLT3, DNMT3A mutations, cytogenetic risk group, and variant genotypes of none of the analyzed polymorphisms. Variant homozygous XPF 673C > T genotype was associated with higher dose of cytosine arabinoside treatment administrated to AML patients (p value = 0.04). No differences were found regarding survival time and variant genotype in the investigated gene polymorphisms with the exception of XPD 2251A > C. In conclusion, XPD 22541A > C, XPD 2251A > C, and XPG 3507G > C gene polymorphisms confer susceptibility to AML, while XPC 2920A > C, XPF-673C > T, XPF 11985A > G are not associated with AML. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 19% |
| Professor | 2 | 13% |
| Other | 2 | 13% |
| Student > Doctoral Student | 2 | 13% |
| Lecturer | 1 | 6% |
| Other | 5 | 31% |
| Unknown | 1 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 31% |
| Medicine and Dentistry | 5 | 31% |
| Agricultural and Biological Sciences | 2 | 13% |
| Earth and Planetary Sciences | 1 | 6% |
| Chemistry | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 2 | 13% |
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 19 January 2016.
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#20,983,210
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#1,851
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Outputs of similar age from Tumor Biology
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