scholarly journals High resolution human leukocyte antigen (HLA) class I and class II allele typing in Mexican mestizo women with sporadic breast cancer: case-control study

BMC Cancer ◽  
2009 ◽  
Vol 9 (1) ◽  
Author(s):  
David Cantú de León ◽  
Delia Pérez-Montiel ◽  
Verónica Villavicencio ◽  
Alejandro García Carranca ◽  
Alejandro Mohar Betancourt ◽  
...  
Keyword(s):  
Sporadic Breast Cancer ◽  
Case Control Study ◽  
Human Leukocyte ◽  
Breast Cancer Case ◽  
Hla Class I ◽  
Case Control ◽  
Cancer Case ◽  
Mexican Mestizo ◽  
Leukocyte Antigen ◽  
Control Study

scholarly journals Identification of High-Order Single-Nucleotide Polymorphism Barcodes in Breast Cancer Using a Hybrid Taguchi-Genetic Algorithm: Case-Control Study

10.2196/16886 ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. e16886
Author(s):  
Li-Yeh Chuang ◽  
Cheng-San Yang ◽  
Huai-Shuo Yang ◽  
Cheng-Hong Yang
Keyword(s):  
Breast Cancer ◽  
Genetic Algorithm ◽  
Taguchi Method ◽  
Case Control Study ◽  
Breast Cancer Case ◽  
Case Control ◽  
High Order ◽  
Cancer Case ◽  
Single Nucleotide ◽  
Control Study

Background Breast cancer has a major disease burden in the female population, and it is a highly genome-associated human disease. However, in genetic studies of complex diseases, modern geneticists face challenges in detecting interactions among loci. Objective This study aimed to investigate whether variations of single-nucleotide polymorphisms (SNPs) are associated with histopathological tumor characteristics in breast cancer patients. Methods A hybrid Taguchi-genetic algorithm (HTGA) was proposed to identify the high-order SNP barcodes in a breast cancer case-control study. A Taguchi method was used to enhance a genetic algorithm (GA) for identifying high-order SNP barcodes. The Taguchi method was integrated into the GA after the crossover operations in order to optimize the generated offspring systematically for enhancing the GA search ability. Results The proposed HTGA effectively converged to a promising region within the problem space and provided excellent SNP barcode identification. Regression analysis was used to validate the association between breast cancer and the identified high-order SNP barcodes. The maximum OR was less than 1 (range 0.870-0.755) for two- to seven-order SNP barcodes. Conclusions We systematically evaluated the interaction effects of 26 SNPs within growth factor–related genes for breast carcinogenesis pathways. The HTGA could successfully identify relevant high-order SNP barcodes by evaluating the differences between cases and controls. The validation results showed that the HTGA can provide better fitness values as compared with other methods for the identification of high-order SNP barcodes using breast cancer case-control data sets.

scholarly journals Uterine Natural Killer Cell and Human Leukocyte Antigen-G1 and Human Leukocyte Antigen-G5 Expression in Vaginal Discharge of Threatened-Abortion Women: A Case-Control Study

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Saeideh Sadat Shobeiri ◽  
Zahra Rahmani ◽  
Hadi Hossein Nataj ◽  
Hossein Ranjbaran ◽  
Masoud Mohammadi ◽  
...  
Keyword(s):  
Human Leukocyte Antigen ◽  
Pregnant Women ◽  
Vaginal Discharge ◽  
Case Control Study ◽  
Human Leukocyte ◽  
Case Control ◽  
Leukocyte Antigen ◽  
Unk Cells ◽  
Threatened Abortion ◽  
Control Study

The immunotolerant human leukocyte antigen-G (HLA-G) molecules have a major role in fetal-maternal tolerance during pregnancy. Interaction between these molecules and uterine natural killer (uNK) cells inhibitory receptors prevents NK cell invasion against fetus trophoblast cells. The aim of this study was to evaluate the percentages of uNK cells and HLA-G1 and HLA-G5 isoforms expression in vaginal discharge of threatened-abortion women in comparison with control. In a case-control study, we investigated 30 threatened-abortion women with bleeding or spotting less than 20 weeks of pregnancy as compared to 30 normal pregnant women. uNK cells percentage was assessed by flow cytometry. Furthermore, we evaluated HLA-G1 and HLA-G5 isoforms expression by Real-Time PCR in these groups. The results of this study showed that threatened-abortion women had increased uNK cells and decreased T cells percentage in vaginal discharge in comparison with normal pregnant women (p=0.01,p=0.003, resp.). In addition, HLA-G1 isoform had lower expression in threatened-abortion women in comparison with control groupp=0.0001. The increase of uNK cells level with the decrease of HLA-G expression in vaginal discharge of threatened-abortion pregnant women is an indicator of mother’s immune dysregulation. It is concluded that HLA-G expression level with uNK cells percentage can be determined as a diagnostic marker for threatened-abortion women.

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