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Chou CW, Lin CR, Chung YT, Tang CS. Epidemiology of Oral Cancer in Taiwan: A Population-Based Cancer Registry Study. Cancers (Basel) 2023; 15:cancers15072175. [PMID: 37046836 PMCID: PMC10092957 DOI: 10.3390/cancers15072175] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 03/15/2023] [Accepted: 04/03/2023] [Indexed: 04/09/2023] Open
Abstract
Oral cancer (OC) is one of the most common cancers worldwide, and its incidence has regional differences. In this study, the cancer registry database obtained from 1980 to 2019 was used to analyze the characteristic of incidence of OC by average annual percentage change (AAPC) and an age–period–cohort model. Spearman’s correlation was used to analyze the relationship between the age-standard incidence rates (ASR) of OC and related risk factors. Our results showed that the ASR of OC increased from 4.19 to 27.19 per 100,000 population with an AAPC of 5.1% (95% CI = 3.9–6.3, p value < 0.001) in men and from 1.16 to 2.8 per 100,000 population with an AAPC of 3.1% (95% CI = 2.6–3.6, p value < 0.001) in women between 1980–1984 and 2015–2019. The age–period–cohort model reported a trend of rising then declining for the rate ratio in men, with peaks occurring in the 1975 cohort, with a rate ratio of 6.80. The trend of incidence of oral cancer was related to changes in the consumption of cigarettes and alcohol and production of betel quid, with r values of 0.952, 0.979 and 0.963, respectively (all p values < 0.001). We strongly suggest avoiding these risk factors in order to prevent OC.
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Affiliation(s)
- Chao-Wei Chou
- School of Public Health, College of Medicine, Fu Jen Catholic University, No. 510, Zhongzheng Road, Xinzhuang District, New Taipei City 242, Taiwan
| | - Chun-Ru Lin
- Department of Medical Education, Chang Gung Memorial Hospital, Linkou Branch, No. 5, Fuxing Street, Guishan District, Taoyuan City 333, Taiwan
| | - Yi-Ting Chung
- School of Public Health, College of Medicine, Fu Jen Catholic University, No. 510, Zhongzheng Road, Xinzhuang District, New Taipei City 242, Taiwan
| | - Chin-Sheng Tang
- School of Public Health, College of Medicine, Fu Jen Catholic University, No. 510, Zhongzheng Road, Xinzhuang District, New Taipei City 242, Taiwan
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Mohtasham N, Najafi-Ghobadi K, Abbaszadeh H. The XRCC1 Arg194Trp polymorphism was associated with the risk of head and neck squamous cell carcinoma development: Results from a systematic review and meta-analysis. Cancer Rep (Hoboken) 2023; 6:e1776. [PMID: 36573562 PMCID: PMC10026292 DOI: 10.1002/cnr2.1776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 12/05/2022] [Accepted: 12/13/2022] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND The X-ray repair cross complementing group 1 (XRCC1) is a DNA repair gene. Various studies have examined the association between XRCC1 Arg194Trp polymorphism and head and neck squamous cell carcinoma (HNSCC) susceptibility with contradictory results. So, this systematic review and meta-analysis aimed to assess whether variants of this polymorphism increase the HNSCC risk or not. RECENT FINDINGS Thirty three studies consisting of 14282 subjects (6012 cases and 8270 controls) were included in this meta-analysis. Variants of XRCC1 Arg194Trp polymorphism were associated with increased HNSCC risk and the associations were significant based on heterozygous and dominant models (heterozygous model: OR = 1.182, 95%CI = 1.015-1.377, P = 0.032; homozygous model: OR = 1.274, 95%CI = 0.940-1.727, P = 0.119; dominant model: OR = 1.194, 95%CI = 1.027-1.388, P = 0.021; recessive model: OR = 1.181, 95%CI = 0.885-1.576, P = 0.119). There were significant associations between variants of this polymorphism and HNSCC risk based on Asian ethnicity under dominant model, hospital control source under different genetic models, PCR-RFLP genotyping method under dominant model and oral cavity tumor site under heterozygous and dominant models. OBJECTIVE The X-ray repair cross complementing group 1 (XRCC1) is a DNA repair gene. Various studies have examined the association between XRCC1 Arg194Trp polymorphism and head and neck squamous cell carcinoma (HNSCC) susceptibility with contradictory results. So, this systematic review and meta-analysis aimed to assess whether variants of this polymorphism increase the HNSCC risk or not. METHODS A systematic search of the literatures published till April 2022 was conducted using Google Scholar, Scopus, PubMed, Web of Science, Cochrane Library and Embase databases. The heterogeneity was assessed with the I-Square statistic. A random effects model or fixed effects model was used to analyze the data. Data were reported by odds ratio (OR) and 95% confidence interval (CI). The p value was considered significant if p < .05. RESULTS Thirty three studies consisting of 14 282 subjects (6012 cases and 8270 controls) were included in this meta-analysis. Variants of XRCC1 Arg194Trp polymorphism were associated with increased HNSCC risk and the associations were significant based on heterozygous and dominant models (heterozygous model: OR = 1.182, 95%CI = 1.015-1.377, p = .032; homozygous model: OR = 1.274, 95%CI = 0.940-1.727, p = .119; dominant model: OR = 1.194, 95%CI = 1.027-1.388, p = .021; recessive model: OR = 1.181, 95%CI = 0.885-1.576, p = .119). There were significant associations between variants of this polymorphism and HNSCC risk based on Asian ethnicity under dominant model, hospital control source under different genetic models, PCR-RFLP genotyping method under dominant model and oral cavity tumor site under heterozygous and dominant models. CONCLUSION Variants of XRCC1 Arg194Trp polymorphism were significantly associated with increased risk of HNSCC development based on heterozygous and dominant genetic models.
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Affiliation(s)
- Nooshin Mohtasham
- Oral and Maxillofacial Diseases Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Khadijeh Najafi-Ghobadi
- Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Hamid Abbaszadeh
- Department of Oral and Maxillofacial Pathology, School of Dentistry, Birjand University of Medical Sciences, Birjand, Iran
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Genetic and epigenetic instability induced by betel quid associated chemicals. Toxicol Rep 2023; 10:223-234. [PMID: 36845258 PMCID: PMC9945799 DOI: 10.1016/j.toxrep.2023.02.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 02/03/2023] [Indexed: 02/06/2023] Open
Abstract
Over the years, betel quid chewing and tobacco use have attracted considerable interest as they are implicated as the most likely causative risk factors of oral and esophageal cancers. Although areca nut use and betel quid chewing may lead to apoptosis, chronic exposure to areca nut and slaked lime may promote pre-malignant and malignant transformation of oral cells. The putative mutagenic and carcinogenic mechanisms may involve endogenous nitrosation of areca and tobacco alkaloids as well as the presence of direct alkylating agents in betel quid and smokeless tobacco. Metabolic activation of carcinogenic N-nitrosamines by phase-I enzymes is required not only to elicit the genotoxicity via the reactive intermediates but also to potentiate the mutagenicity with the sporadic alkylations of nucleotide bases, resulting in the formation of diverse DNA adducts. Persistent DNA adducts provides the impetus for genetic and epigenetic lesions. The genetic and epigenetic factors cumulatively influence the development and progression of disorders such as cancer. Accumulation of numerous genetic and epigenetic aberrations due to long-term betel quid (with or without tobacco) chewing and tobacco use culminates into the development of head and neck cancers. We review recent evidence that supports putative mechanisms for mutagenicity and carcinogenicity of betel quid chewing along with tobacco (smoking and smokeless) use. The detailed molecular mechanisms of the extent of accumulation and patterns of genetic alterations, indicative of the prior exposure to carcinogens and alkylating agents because of BQ chewing and tobacco use, have not yet been elucidated.
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Ma C, Wu M, Ma S. Analysis of cancer omics data: a selective review of statistical techniques. Brief Bioinform 2022; 23:6510158. [PMID: 35039832 DOI: 10.1093/bib/bbab585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 12/19/2021] [Accepted: 12/20/2021] [Indexed: 11/13/2022] Open
Abstract
Cancer is an omics disease. The development in high-throughput profiling has fundamentally changed cancer research and clinical practice. Compared with clinical, demographic and environmental data, the analysis of omics data-which has higher dimensionality, weaker signals and more complex distributional properties-is much more challenging. Developments in the literature are often 'scattered', with individual studies focused on one or a few closely related methods. The goal of this review is to assist cancer researchers with limited statistical expertise in establishing the 'overall framework' of cancer omics data analysis. To facilitate understanding, we mainly focus on intuition, concepts and key steps, and refer readers to the original publications for mathematical details. This review broadly covers unsupervised and supervised analysis, as well as individual-gene-based, gene-set-based and gene-network-based analysis. We also briefly discuss 'special topics' including interaction analysis, multi-datasets analysis and multi-omics analysis.
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Affiliation(s)
- Chenjin Ma
- College of Statistics and Data Science, Faculty of Science, Beijing University of Technology, Beijing, China
| | - Mengyun Wu
- School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, China
| | - Shuangge Ma
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
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Wang YY, Fang PT, Su CW, Chen YK, Huang JJ, Huang MY, Yuan SSF. Excision repair cross-complementing group 2 upregulation is a potential predictive biomarker for oral squamous cell carcinoma recurrence. Oncol Lett 2021; 21:450. [PMID: 33868488 PMCID: PMC8045162 DOI: 10.3892/ol.2021.12711] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Accepted: 03/10/2021] [Indexed: 11/05/2022] Open
Abstract
Oral cancer is the fourth most common type of cancer among males in Taiwan, and the prognosis for patients with advanced-stage oral squamous cell carcinoma (OSCC) remains poor. The present study investigated the prognostic value of three DNA repair genes, namely excision repair cross-complementing group 1 (ERCC1), ERCC2 and X-ray repair cross-complementing group 1 (XRCC1) in OSCC. The protein expression levels of XRCC1, ERCC1 and ERCC2 in oral cell lines were analyzed via western blotting and immunohistochemistry using samples from 98 patients with biopsy-proven OSCC, while the χ2 test was used to analyze the clinicopathological association. Kaplan-Meier estimates were used to determine the prognostic value of XRCC1, ERCC1 and ERCC2 for overall survival, and the log-rank test was used to evaluate the significance of differences. Multivariate analysis revealed a positive association between ERCC2 expression and OSCC recurrence (19.64-fold; 95% CI, 5.00-77.1; P<0.001). In addition, the high protein expression levels of XRCC1, ERCC1 and ERCC2 were associated with poor disease-free and overall survival rates. Therefore, the present study suggested that high ERCC2 expression may be a risk factor for OSCC recurrence.
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Affiliation(s)
- Yen-Yun Wang
- School of Dentistry, College of Dental Medicine, Kaohsiung Medical University, Kaohsiung 807377, Taiwan, R.O.C.,Translational Research Center, Kaohsiung Medical University Hospital, Kaohsiung 807377, Taiwan, R.O.C.,Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung 807377, Taiwan, R.O.C.,Center for Cancer Research, Kaohsiung Medical University, Kaohsiung 807377, Taiwan, R.O.C
| | - Pen-Tzu Fang
- Department of Radiation Oncology, Kaohsiung Medical University Hospital, Kaohsiung 807377, Taiwan, R.O.C
| | - Chang-Wei Su
- School of Dentistry, College of Dental Medicine, Kaohsiung Medical University, Kaohsiung 807377, Taiwan, R.O.C.,Center for Cancer Research, Kaohsiung Medical University, Kaohsiung 807377, Taiwan, R.O.C.,Division of Oral and Maxillofacial Surgery, Kaohsiung Medical University Hospital, Kaohsiung 807377, Taiwan, R.O.C
| | - Yuk-Kwan Chen
- School of Dentistry, College of Dental Medicine, Kaohsiung Medical University, Kaohsiung 807377, Taiwan, R.O.C.,Center for Cancer Research, Kaohsiung Medical University, Kaohsiung 807377, Taiwan, R.O.C.,Division of Oral Pathology and Maxillofacial Radiology, Kaohsiung Medical University Hospital, Kaohsiung 807377, Taiwan, R.O.C.,Oral and Maxillofacial Imaging Center, College of Dental Medicine, Kaohsiung Medical University, Kaohsiung 807377, Taiwan, R.O.C
| | - Joh-Jong Huang
- Department of Family Medicine, Kaohsiung Medical University Hospital, Kaohsiung 807377, Taiwan, R.O.C
| | - Ming-Yii Huang
- Center for Cancer Research, Kaohsiung Medical University, Kaohsiung 807377, Taiwan, R.O.C.,Department of Radiation Oncology, Kaohsiung Medical University Hospital, Kaohsiung 807377, Taiwan, R.O.C.,Department of Radiation Oncology, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807377, Taiwan, R.O.C.,Center for Biomarkers and Biotech Drugs, Kaohsiung Medical University, Kaohsiung 807377, Taiwan, R.O.C
| | - Shyng-Shiou F Yuan
- Translational Research Center, Kaohsiung Medical University Hospital, Kaohsiung 807377, Taiwan, R.O.C.,Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung 807377, Taiwan, R.O.C.,Center for Cancer Research, Kaohsiung Medical University, Kaohsiung 807377, Taiwan, R.O.C.,Department of Obstetrics and Gynecology, Kaohsiung Medical University Hospital, Kaohsiung 807377, Taiwan, R.O.C.,Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807377, Taiwan, R.O.C.,Department of Biological Science and Technology, College of Biological Science and Technology, National Chiao Tung University, Hsinchu 300093, Taiwan, R.O.C.,Center For Intelligent Drug Systems and Smart Bio-devices, National Chiao Tung University, Hsinchu 300093, Taiwan, R.O.C
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Mozaffari HR, Rostamnia M, Sharifi R, Safaei M, Zavattaro E, Tadakamadla SK, Imani MM, Sadeghi M, Golshah A, Moradpoor H, Rezaei F, Omidpanah N, Hatami M. A PRISMA-compliant meta-analysis on association between X-ray repair cross complementing (XRCC1, XRCC2, and XRCC3) polymorphisms and oral cancer susceptibility. Gene 2021; 781:145524. [PMID: 33631241 DOI: 10.1016/j.gene.2021.145524] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Accepted: 02/09/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND Oral Cancer (OC) is one of the leading causes of death and the disease mainly occurs over 50 years of age. Herein, a meta-analysis aimed to assess the association between X-ray repair cross complementing (XRCC) polymorphisms and OC risk. METHODS Four databases were searched extensively until June 5, 2020. Subgroup analysis, meta-regression, and funnel plots, as well as the quality assessment were estimated. RESULTS Fifteen studies were entered to the analysis. With regards to allele, homozygote, heterozygote, recessive, and dominant models, the pooled ORs for XRCC1 rs1799782 polymorphism were 1.51 (P = 0.01), 1.45 (P = 0.11), 1.45 (P = 0.0003), 1.44 (P = 0.0002), and 1.29 (P = 0.26); for XRCC1 rs1799782 polymorphism were 1.65 (P = 0.11), 1.50 (P = 0.33), 1.06 (P = 0.83), 1.57 (P = 0.12), and 1.32 (P = 0.45); for XRCC1 rs25489 polymorphism were 0.01 (P = 0.19), 1.44 (P = 0.48), 1.21 (P = 0.72), 1.17 (P = 0.19), and 1.38 (P = 0.54); for XRCC2 rs2040639 polymorphism were 0.68 (P = 0.0002), 0.63 (P = 0.02), 0.95 (P = 0.92), 0.79 (P = 0.49), and 0.61 (P = 0.005); and for XRCC3 rs861539 polymorphism were 1.24 (P = 0.20), 1.28 (P = 0.48), 0.99 (P = 0.95), 1.15 (P = 0.46), and 1.52 (P = 0.15), respectively. CONCLUSIONS The T allele and CT genotype of XRCC1 rs1799782 polymorphism had an elevated risk, whereas the G allele and GG genotype of XRCC2 rs2040639 polymorphism had a protective role in OC.
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Affiliation(s)
- Hamid Reza Mozaffari
- Department of Oral and Maxillofacial Medicine, School of Dentistry, Kermanshah University of Medical Sciences, Kermanshah 6713954658, Iran
| | - Maryam Rostamnia
- Students Research Committee, Kermanshah University of Medical Sciences, Kermanshah 6715847141, Iran
| | - Roohollah Sharifi
- Department of Endodontics, School of Dentistry, Kermanshah University of Medical Sciences, Kermanshah 6713954658, Iran
| | - Mohsen Safaei
- Advanced Dental Sciences Research Center, School of Dentistry, Kermanshah University of Medical Sciences, Kermanshah 6713954658, Iran
| | - Elisa Zavattaro
- Dermatology Unit, Department of Translational Medicine, University of Eastern Piedmont, Novara 28100, Italy
| | - Santosh Kumar Tadakamadla
- School of Dentistry and Oral Health, Menzies Health Institute Queensland, Griffith University, Gold Coast 4214, Australia
| | - Mohammad Moslem Imani
- Department of Orthodontics, School of Dentistry, Kermanshah University of Medical Sciences, Kermanshah 6713954658, Iran
| | - Masoud Sadeghi
- Medical Biology Research Center, Kermanshah University of Medical Sciences, Kermanshah 6714415185, Iran.
| | - Amin Golshah
- Department of Orthodontics, School of Dentistry, Kermanshah University of Medical Sciences, Kermanshah 6713954658, Iran
| | - Hedaiat Moradpoor
- Department of Prosthodontics, School of Dentistry, Kermanshah University of Medical Sciences, Kermanshah 6713954658, Iran
| | - Farzad Rezaei
- Department of Oral and Maxillofacial Surgery, School of Dentistry, Kermanshah University of Medical Sciences, Kermanshah 6713954658, Iran
| | - Neda Omidpanah
- Department of Oral and Maxillofacial Medicine, School of Dentistry, Kermanshah University of Medical Sciences, Kermanshah 6713954658, Iran
| | - Masoud Hatami
- Department of Oral and Maxillofacial Medicine, School of Dentistry, Kermanshah University of Medical Sciences, Kermanshah 6713954658, Iran
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Association of XRCC2 rs2040639 with the survival of patients with oral squamous cell carcinoma undergoing concurrent chemoradiotherapy. Gene 2020; 768:145283. [PMID: 33144272 DOI: 10.1016/j.gene.2020.145283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Revised: 10/15/2020] [Accepted: 10/26/2020] [Indexed: 11/22/2022]
Abstract
OBJECTIVE To investigate the association between the variants of DNA double-strand break repair genes and the clinical outcomes of patients with oral squamous cell carcinoma (OSCC) undergoing concurrent chemoradiotherapy. METHODS Five variants of DNA double-strand break repair genes in samples from 319 patients with OSCC were genotyped using the Sequenom iPLEX MassARRAY system. Kaplan-Meier curves and Cox proportional hazards analysis were used to identify the factors associated with patient survival. RESULTS The XRCC2 rs2040639 (G3063A) polymorphism in the codominant model was associated with decreased recurrence risk (hazard ratio [HR] = 0.55, 95% confidence interval [CI] = 0.31-0.98; p = 0.042). A marginally significant interaction was observed between XRCC2 rs2040639 and PRKDC rs7003908 in patients carrying the AA and AA genotypes; these patients showed reduced recurrence risk (HR = 0.36, 95% CI = 0.17-0.79; p = 0.010). CONCLUSION The A-allele of XRCC2 rs2040639 is a favorable prognostic factor for disease-free survival. Patients with these genotypes may benefit from concurrent chemoradiotherapy. Additional confirmation from studies with larger samples or other ethnic populations is warranted.
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Moreira DGL, Morais EFD, Santos HBDP, Freitas RDA. Immunohistochemical expression of DNA repair proteins in oral tongue and lower lip squamous cell carcinoma. Braz Oral Res 2020; 34:e101. [PMID: 32901726 DOI: 10.1590/1807-3107bor-2020.vol34.0101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Accepted: 06/15/2020] [Indexed: 05/30/2023] Open
Abstract
The DNA repair system involves genes and proteins that are essential for the maintenance of genome integrity and the consequent control of various cellular processes. Alterations in these genes and proteins play a role in tumor development and progression and might be associated with prognosis. The aims of this study were to analyze the immunoexpression of two DNA repair proteins, XPF and XRCC1, in lower lip squamous cell carcinoma (LLSCC) and oral tongue squamous cell carcinoma (OTSCC), and to investigate possible associations with clinical and histopathological parameters. The immunohistochemical expression of XPF and XRCC1 was analyzed semi-quantitatively in 40 cases each of LLSCC and OTSCC. The chi-squared test or Fisher's exact test, when appropriate, was used to investigate the association between expression of the proteins and clinicopathological characteristics. The cytoplasmic immunoexpression of XPF was high in OTSCC (95% of the cases analyzed) but low in LLSCC (52.5%). Among the clinicopathological parameters evaluated, a statistically significant association was observed between high nuclear expression of XRCC1 and the absence of regional lymph node metastasis in patients diagnosed with OTSCC (p=0.006). The high protein expression of XPF and XRCC1 in OTSCC and LLSCC suggests an important role in the development and progression of these tumors. Our study found an association between high nuclear expression of XRCC1 and the absence of loco-regional metastasis in cases diagnosed as OTSCC, suggesting a role of this protein in tumor progression.
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Affiliation(s)
- Deborah Gondim Lambert Moreira
- Universidade Federal do Rio Grande do Norte - UFRN, Centro de Ciênicas da Saúde, Department of Oral Pathology, Natal, RN, Brazil
| | - Everton Freitas de Morais
- Universidade Federal do Rio Grande do Norte - UFRN, Centro de Ciênicas da Saúde, Department of Oral Pathology, Natal, RN, Brazil
| | - Hellen Bandeira de Pontes Santos
- Universidade Federal do Rio Grande do Norte - UFRN, Centro de Ciênicas da Saúde, Department of Oral Pathology, Natal, RN, Brazil
| | - Roseana de Almeida Freitas
- Universidade Federal do Rio Grande do Norte - UFRN, Centro de Ciênicas da Saúde, Department of Oral Pathology, Natal, RN, Brazil
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Chuang LY, Yang CS, Yang HS, Yang CH. Identification of High-Order Single-Nucleotide Polymorphism Barcodes in Breast Cancer Using a Hybrid Taguchi-Genetic Algorithm: Case-Control Study. JMIR Med Inform 2020; 8:e16886. [PMID: 32554381 PMCID: PMC7351259 DOI: 10.2196/16886] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Revised: 02/09/2020] [Accepted: 04/08/2020] [Indexed: 12/24/2022] Open
Abstract
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.
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Affiliation(s)
| | - Cheng-San Yang
- Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi City, Taiwan
| | - Huai-Shuo Yang
- Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung City, Taiwan
| | - Cheng-Hong Yang
- Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung City, Taiwan.,Drug Development and Value Creation Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan.,College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
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Yang CH, Lin YD, Chuang LY. Class Balanced Multifactor Dimensionality Reduction to Detect Gene-Gene Interactions. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2020; 17:71-81. [PMID: 30040653 DOI: 10.1109/tcbb.2018.2858776] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Detecting gene-gene interactions in single-nucleotide polymorphism data is vital for understanding disease susceptibility. However, existing approaches may be limited by the sample size in case-control studies. Herein, we propose a balance approach for the multifactor dimensionality reduction (BMDR) method to increase the accuracy of estimates of the prediction error rate in small samples. BMDR explicitly selects the best model by evaluating the average of prediction error rates over k-fold cross-validation without cross-validation consistency selection. In this study, we used several epistatic models with and without marginal effects under different parameter settings (heritability and minor allele frequencies) to evaluate the performance of existing approaches. Using simulated data sets, BMDR successfully detected gene-gene interactions, particularly for data sets with small sample sizes. A large data set was obtained from the Wellcome Trust Case Control Consortium, and results indicated that BMDR could effectively detect significant gene-gene interactions.
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Application of simulation-based CYP26 SNP-environment barcodes for evaluating the occurrence of oral malignant disorders by odds ratio-based binary particle swarm optimization: A case-control study in the Taiwanese population. PLoS One 2019; 14:e0220719. [PMID: 31465460 PMCID: PMC6715230 DOI: 10.1371/journal.pone.0220719] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Accepted: 07/22/2019] [Indexed: 12/15/2022] Open
Abstract
Introduction Genetic polymorphisms and social factors (alcohol consumption, betel quid (BQ) usage, and cigarette consumption), both separately or jointly, play a crucial role in the occurrence of oral malignant disorders such as oral and pharyngeal cancers and oral potentially malignant disorders (OPMD). Material and methods Simultaneous analyses of multiple single nucleotide polymorphisms (SNPs) and environmental effects on oral malignant disorders are essential to examine, albeit challenging. Thus, we conducted a case-control study (N = 576) to analyze the risk of occurrence of oral malignant disorders by using binary particle swarm optimization (BPSO) with an odds ratio (OR)-based method. Results We demonstrated that a combination of SNPs (CYP26B1 rs887844 and CYP26C1 rs12256889) and socio-demographic factors (age, ethnicity, and BQ chewing), referred to as the combined effects of SNP-environment, correlated with maximal risk diversity of occurrence observed between the oral malignant disorder group and the control group. The risks were more prominent in the oral and pharyngeal cancers group (OR = 10.30; 95% confidence interval (CI) = 4.58–23.15) than in the OPMD group (OR = 5.42; 95% CI = 1.94–15.12). Conclusions Simulation-based “SNP-environment barcodes” may be used to predict the risk of occurrence of oral malignant disorders. Applying simulation-based “SNP-environment barcodes” may provide insight into the importance of screening tests in preventing oral and pharyngeal cancers and OPMD.
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Yang CH, Chuang LY, Lin YD. Multiobjective multifactor dimensionality reduction to detect SNP-SNP interactions. Bioinformatics 2019; 34:2228-2236. [PMID: 29471406 DOI: 10.1093/bioinformatics/bty076] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2017] [Accepted: 02/16/2018] [Indexed: 11/12/2022] Open
Abstract
Motivation Single-nucleotide polymorphism (SNP)-SNP interactions (SSIs) are popular markers for understanding disease susceptibility. Multifactor dimensionality reduction (MDR) can successfully detect considerable SSIs. Currently, MDR-based methods mainly adopt a single-objective function (a single measure based on contingency tables) to detect SSIs. However, generally, a single-measure function might not yield favorable results due to potential model preferences and disease complexities. Approach This study proposes a multiobjective MDR (MOMDR) method that is based on a contingency table of MDR as an objective function. MOMDR considers the incorporated measures, including correct classification and likelihood rates, to detect SSIs and adopts set theory to predict the most favorable SSIs with cross-validation consistency. MOMDR enables simultaneously using multiple measures to determine potential SSIs. Results Three simulation studies were conducted to compare the detection success rates of MOMDR and single-objective MDR (SOMDR), revealing that MOMDR had higher detection success rates than SOMDR. Furthermore, the Wellcome Trust Case Control Consortium dataset was analyzed by MOMDR to detect SSIs associated with coronary artery disease. Availability and implementation: MOMDR is freely available at https://goo.gl/M8dpDg. Supplementary information Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Cheng-Hong Yang
- Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan.,Graduate Institute of Clinical Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Li-Yeh Chuang
- Department of Chemical Engineering and Institute of Biotechnology and Chemical Engineering, I-Shou University, Kaohsiung, Taiwan
| | - Yu-Da Lin
- Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan
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13
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Fan J, Liu W, Zhang M, Xing C. A literature review and systematic meta-analysis on XRCC3 Thr241Met polymorphism associating with susceptibility of oral cancer. Oncol Lett 2019; 18:3265-3273. [PMID: 31452804 PMCID: PMC6676654 DOI: 10.3892/ol.2019.10609] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Accepted: 06/21/2019] [Indexed: 12/18/2022] Open
Abstract
Oral cancer is very common, occurring on head as well as neck region with poor prognosis. The X-ray repair cross-complementing group 3 (XRCC3) gene contained in DNA repairing pathway has been investigated for its functional role in oral cancer. Nevertheless, the corresponding results are inconclusive. This study investigated the association of XRCC3 Thr241Met polymorphism regarding oral cancer risk. Article and literature searches were performed using Embase, Medline, PubMed, Wanfang and China National Knowledge Infrastructure (CNKI) databases with a manual search. The keywords of ‘XRCC3 or X-ray repair cross complementing protein 3’, ‘polymorphism or SNP’, ‘oral cancer or oral squamous cell carcinoma’ and their combinations were used to search literature. In accordance with the criteria of inclusion, we focused on only case-and-control studies with the distribution of genotypes and alleles being available to be extracted. Systematic meta-analysis was conducted via the STATA software (version 11.0). After a comprehensive literature collection and review, 1,615 oral cancer cases and 1,897 matched controls extracted from 7 articles were included for this meta-analysis. Our results show that only Met/Met (TT) genotype with the recessive model was associated with high risk of oral cancer (CC + CT vs. TT, OR=1.81, P=0.001, 95% CI=1.28–2.567). A significant relationship was identified under both homozygous and recessive model in Asians (CC vs. TT: OR=2.15, 95% CI=1.107–4.170, P=0.024; CT + CC vs. TT: OR=2.140, 95% CI=1.105–4.144, P=0.024), but not among Caucasians (P>0.05). The results indicate that XRCC3 241Met allele might be a potential factor for oral cancer risk, particularly among Asian population. A further study using a larger population and more ethnicities should be performed to confirm the findings.
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Affiliation(s)
- Jianlin Fan
- Department of Stomatology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215004, P.R. China
| | - Wei Liu
- Department of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China
| | - Mingzhi Zhang
- Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu 215123, P.R. China
| | - Chungen Xing
- Department of General Surgery, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215004, P.R. China
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14
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Akhter N, Alzahrani FA, Dar SA, Wahid M, Sattar RSA, Hussain S, Haque S, Ansari SA, Jawed A, Mandal RK, Almalki S, Alharbi RA, Husain SA. AA genotype of cyclin D1 G870A polymorphism increases breast cancer risk: Findings of a case-control study and meta-analysis. J Cell Biochem 2019; 120:16452-16466. [PMID: 31243808 DOI: 10.1002/jcb.28800] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Revised: 01/29/2019] [Accepted: 02/04/2019] [Indexed: 12/15/2022]
Abstract
BACKGROUND Cyclin D1 (CCND1) polymorphisms, a regulator of the cell cycle progress from G1 to the S phase, may lead to uncontrolled cell proliferation and lack of apoptosis. G870A, a common single-nucleotide polymorphism in CCND1 influences breast cancer risk. However, the association between G870A polymorphism and breast cancer risk is ambiguous so far. MATERIALS AND METHODS In this case-control study, we analyzed the role of G870A polymorphism with breast cancer risk in Indian women. A meta-analysis of 18 studies was also performed to elucidate this association by increasing statistical power. RESULTS In our case-control study, significant risk association of the CCND1 G870A AA genotype with breast cancer in total cohort (odds ratio [OR], 2.98; 95% confidence interval [CI], 1.64-5.42; P value, 4.96e-04) and premenopausal women (OR, 3.31; 95% CI, 1.54-7.08; P value, .003) was found. The results of the meta-analysis showed that AA genotype of the CCND1 G870A polymorphism significantly increases breast cancer risk in total pooled data (AA vs GG+GA: OR = 1.20; 95% CI = 1.03 to 1.39; P value, 0.016*) and Caucasian (AA vs GG+GA: OR = 1.22; 95% CI = 0.99 to 1.51; P value, .056*) but not in Asian population. Further, a significant protective association with breast cancer was also found in the GA vs AA comparison model in pooled data (OR = 0.73; 95% CI = 0.58 to 0.92; P value, .007*) as well as in Caucasian subgroup (OR = 0.62; 95% CI = 0.49 to 0.94; P value, .022*). CONCLUSION CCND1 G870A AA genotype was found associated with breast cancer risk. Future association studies considering the environmental impact on gene expression are required to validate/explore this association.
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Affiliation(s)
- Naseem Akhter
- Department of Biosciences, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, India.,Department of Laboratory Medicine, Faculty of Applied Medical Sciences, Albaha University, Al Bahah, Saudi Arabia
| | - Faisal Abdulrahman Alzahrani
- Department of Biological Sciences, Rabigh College of Science and Arts, King Abdulaziz University, Rabigh, Saudi Arabia
| | - Sajad Ahmad Dar
- Research and Scientific Studies Unit, College of Nursing & Allied Health Sciences, Jazan University, Jazan, Saudi Arabia
| | - Mohd Wahid
- Department of Biosciences, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, India.,Research and Scientific Studies Unit, College of Nursing & Allied Health Sciences, Jazan University, Jazan, Saudi Arabia
| | | | - Showket Hussain
- Division of Molecular OncologyAnchor, AnchorNational Institute of Cancer Prevention and Research (ICMR), Noida, India
| | - Shafiul Haque
- Department of Biosciences, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, India.,Research and Scientific Studies Unit, College of Nursing & Allied Health Sciences, Jazan University, Jazan, Saudi Arabia
| | - Shakeel Ahmed Ansari
- AnchorAnchorCenter of Excellence in Genomic Medicine Research, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Arshad Jawed
- Research and Scientific Studies Unit, College of Nursing & Allied Health Sciences, Jazan University, Jazan, Saudi Arabia
| | - Raju K Mandal
- Research and Scientific Studies Unit, College of Nursing & Allied Health Sciences, Jazan University, Jazan, Saudi Arabia
| | - Shaia Almalki
- Department of Laboratory Medicine, Faculty of Applied Medical Sciences, Albaha University, Al Bahah, Saudi Arabia
| | - Raed A Alharbi
- Department of Laboratory Medicine, Faculty of Applied Medical Sciences, Albaha University, Al Bahah, Saudi Arabia
| | - Syed Akhtar Husain
- Department of Biosciences, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, India
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15
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Abbas M, Srivastava K, Imran M, Banerjee M. Genetic polymorphisms in DNA repair genes and their association with cervical cancer. Br J Biomed Sci 2019; 76:117-121. [PMID: 30870085 DOI: 10.1080/09674845.2019.1592884] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Background and objective: Carcinoma of cervix is the second most common cancer among women worldwide. The DNA repair network plays an important role in the maintenance of genetic stability, protection against DNA damage and carcinogenesis. Alterations in repair genes XRCC1, XRCC2 and XRCC3 and been reported in certain cancers. We hypothesised an association between XRCC1+399A/G, XRCC2+31467G/A and XRCC3+18067C/T polymorphisms and the risk of cervical cancer. Subjects and methods: This study included 525 subjects (265 controls and 260 cervical cancer cases). Genotypes were determined by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). Results: Women with GA and AA genotypes of XRCC1+399A/G showed 2.4-3.8 fold higher risk of cervical cancer (P = 0.001). The +399A* allele was significantly linked with cervical cancer (P = 0.002). However, XRCC2+31479G/A and XRCC3+18067C/T polymorphisms did not show any statistically significant associations. Conclusion: The XRCC1+399A/G SNP is linked with cervical cancer. We suggest that this variant can be utilized as a prognostic marker for determination of cervical cancer susceptibility.
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Affiliation(s)
- M Abbas
- a Molecular and Human Genetics Laboratory, Department of Zoology , University of Lucknow , Lucknow , India.,b Department of Microbiology , ERA University , Lucknow , India
| | - K Srivastava
- c Department of Radiotherapy , King George's Medical University , Lucknow , India
| | - M Imran
- d Department of Biosciences, Faculty of Science , Integral University , Lucknow , India
| | - M Banerjee
- a Molecular and Human Genetics Laboratory, Department of Zoology , University of Lucknow , Lucknow , India
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16
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Liu Y, Zhao XX, Hu XJ, Yang F, Lin P, Cui SC, Zhao W, Cao XY, Wang YS. Effect of sex hormone-binding globulin polymorphisms on the outcome of in vitro fertilization-embryo transfer for polycystic ovary syndrome patients: A case-control study. J Cell Biochem 2018; 120:4675-4686. [PMID: 30520140 DOI: 10.1002/jcb.27756] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Accepted: 09/06/2018] [Indexed: 01/11/2023]
Abstract
Polycystic ovary syndrome (PCOS), known as a common endocrine disorder among females, plagues many PCOS patients. The current study aimed to explore the correlations of sex hormone-binding globulin (SHBG) polymorphisms with the outcome of in vitro fertilization-embryo transfer (IVF-ET) in PCOS patients. PCOS patients who underwent IVF-ET and patients with non-PCOS-related infertility were selected in the study. Correlations of SHBG rs6259 and rs727428 with the risk factors in PCOS were analyzed, followed by the evaluation of the effect of SHBG polymorphisms on the outcome of IVF-ET in PCOS patients. At last, unconditional logistic regression analysis was performed to study the risk factors for IVF-ET treatment outcome. Compared with SHBG rs6259 GG carriers, the incidence of PCOS was found to be elevated in SHBG rs6259 GA+AA carriers which indicated that the A allele was a risk factor for PCOS. Compared with SHBG rs6259 TT carriers, the number of retrieved oocytes and embryo as well as the fertility rate in SHBG rs6259 GA+AA carriers was found to be decreased, while the abortion rate, incidence of ovarian hyperstimulation syndrome, transplant rejection rate, estradiol, and testosterone in serum, as well as testosterone in follicular fluid were elevated. The luteal hormone, serum testosterone, and progesterone and GA+AA genotype of rs6259 were the risk factors for IVF-ET treatment outcome. Taken together, the study showed that SHBG rs6259 polymorphisms might be correlated with the risk of PCOS and the outcome of IVF-ET treatment.
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Affiliation(s)
- Yang Liu
- Department of Obstetrics, Linyi Central Hospital, Linyi, China
| | - Xi-Xi Zhao
- Intensive Care Unit, Linyi Central Hospital, Linyi, China
| | - Xiang-Juan Hu
- Department of Obstetrics and Gynecology, Economic and Technological Development Zone People's Hospital of Linyi, Linyi, China
| | - Feng Yang
- Operating Room, Economic and Technological Development Zone People's Hospital of Linyi, Linyi, China
| | - Ping Lin
- Department of Obstetrics, Linyi Central Hospital, Linyi, China
| | - Shi-Chang Cui
- Department of General Surgery, Linyi Central Hospital, Linyi, China
| | - Wei Zhao
- Department of Obstetrics, Linyi Central Hospital, Linyi, China
| | - Xiao-Yun Cao
- Medical Insurance Management Office, Economic and Technological Development Zone People's Hospital of Linyi, Linyi, China
| | - Yong-Sheng Wang
- Department of Gynecology, Linyi People's Hospital, Linyi, China
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17
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Yang CH, Lin YD, Chuang LY. Multiple-Criteria Decision Analysis-Based Multifactor Dimensionality Reduction for Detecting Gene-Gene Interactions. IEEE J Biomed Health Inform 2018; 23:416-426. [PMID: 29993963 DOI: 10.1109/jbhi.2018.2790951] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Gene-gene interactions (GGIs) are important markers for determining susceptibility to a disease. Multifactor dimensionality reduction (MDR) is a popular algorithm for detecting GGIs and primarily adopts the correct classification rate (CCR) to assess the quality of a GGI. However, CCR measurement alone may not successfully detect certain GGIs because of potential model preferences and disease complexities. In this study, multiple-criteria decision analysis (MCDA) based on MDR was named MCDA-MDR and proposed for detecting GGIs. MCDA facilitates MDR to simultaneously adopt multiple measures within the two-way contingency table of MDR to assess GGIs; the CCR and rule utility measure were employed. Cross-validation consistency was adopted to determine the most favorable GGIs among the Pareto sets. Simulation studies were conducted to compare the detection success rates of the MDR-only-based measure and MCDA-MDR, revealing that MCDA-MDR had superior detection success rates. The Wellcome Trust Case Control Consortium dataset was analyzed using MCDA-MDR to detect GGIs associated with coronary artery disease, and MCDA-MDR successfully detected numerous significant GGIs (p < 0.001). MCDA-MDR performance assessment revealed that the applied MCDA successfully enhanced the GGI detection success rate of the MDR-based method compared with MDR alone.
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18
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Haplotype analysis of XRCC2 gene polymorphisms and association with increased risk of head and neck cancer. Sci Rep 2017; 7:13210. [PMID: 29038438 PMCID: PMC5643489 DOI: 10.1038/s41598-017-13461-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Accepted: 09/15/2017] [Indexed: 12/14/2022] Open
Abstract
We aimed to investigate the effect of hotspot variations of XRCC2 gene on the risk of head and neck cancer (HNC) in 400 patients and 400 controls. Five polymorphisms of XRCC2 gene G4234C (rs3218384), G4088T (rs3218373), G3063A (rs2040639), R188H (rs3218536) and rs7802034 were analyzed using Allele- specific polymerase chain reaction (ARMS-PCR) followed by sequence analysis. For rs3218373, the GG genotype indicated a statistically significant 3-fold increased risk of HNC (P < 0.001) after multivariate adjustment. For rs7802034, the GG genotype suggested statistically significant 2-fold increased risk of HNC (P < 0.001). For SNP of rs3218536, the AA genotype indicated a significant 3-fold increased risk of HNC (P < 0.001). Additionally, haplotype analysis revealed that TACAG, TGGAG, TACGG and TAGGA haplotypes of XRCC2 polymorphisms are associated with HNC risk. Two SNPs in XRCC2 (rs2040639 and rs3218384) were found increased in strong linkage disequilibrium. Furthermore, joint effect model showed 20 fold (OR = 19.89; 95% CI = 2.65–149.36, P = 0.003) increased HNC risk in patients carrying four homozygous risk alleles of selected polymorphisms. These results show that allele distributions and genotypes of XRCC2 SNPs are significantly associated with increased HNC risk and could be a genetic adjuster for the said disease.
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19
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Sharma V, Nandan A, Sharma AK, Singh H, Bharadwaj M, Sinha DN, Mehrotra R. Signature of genetic associations in oral cancer. Tumour Biol 2017; 39:1010428317725923. [DOI: 10.1177/1010428317725923] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Affiliation(s)
- Vishwas Sharma
- Department of Health Research, National Institute of Cancer Prevention and Research (NICPR), Noida, India
| | - Amrita Nandan
- Society for Life Science and Human Health, Allahabad, India
| | - Amitesh Kumar Sharma
- Data Management Laboratory, National Institute of Cancer Prevention and Research (NICPR), Noida, India
- Department of Bioinformatics, Indian Council of Medical Research, New Delhi, India
| | - Harpreet Singh
- Data Management Laboratory, National Institute of Cancer Prevention and Research (NICPR), Noida, India
- Department of Bioinformatics, Indian Council of Medical Research, New Delhi, India
| | - Mausumi Bharadwaj
- Department of Health Research, National Institute of Cancer Prevention and Research (NICPR), Noida, India
- Division of Molecular Genetics & Biochemistry
| | - Dhirendra Narain Sinha
- WHO FCTC Global Knowledge Hub on Smokeless Tobacco, National Institute of Cancer Prevention and Research (NICPR), Noida, India
| | - Ravi Mehrotra
- Department of Health Research, National Institute of Cancer Prevention and Research (NICPR), Noida, India
- Data Management Laboratory, National Institute of Cancer Prevention and Research (NICPR), Noida, India
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20
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Yang CH, Chuang LY, Lin YD. Multiobjective differential evolution-based multifactor dimensionality reduction for detecting gene-gene interactions. Sci Rep 2017; 7:12869. [PMID: 28993686 PMCID: PMC5634479 DOI: 10.1038/s41598-017-12773-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Accepted: 09/15/2017] [Indexed: 12/11/2022] Open
Abstract
Epistasis within disease-related genes (gene–gene interactions) was determined through contingency table measures based on multifactor dimensionality reduction (MDR) using single-nucleotide polymorphisms (SNPs). Most MDR-based methods use the single contingency table measure to detect gene–gene interactions; however, some gene–gene interactions may require identification through multiple contingency table measures. In this study, a multiobjective differential evolution method (called MODEMDR) was proposed to merge the various contingency table measures based on MDR to detect significant gene–gene interactions. Two contingency table measures, namely the correct classification rate and normalized mutual information, were selected to design the fitness functions in MODEMDR. The characteristics of multiobjective optimization enable MODEMDR to use multiple measures to efficiently and synchronously detect significant gene–gene interactions within a reasonable time frame. Epistatic models with and without marginal effects under various parameter settings (heritability and minor allele frequencies) were used to assess existing methods by comparing the detection success rates of gene–gene interactions. The results of the simulation datasets show that MODEMDR is superior to existing methods. Moreover, a large dataset obtained from the Wellcome Trust Case Control Consortium was used to assess MODEMDR. MODEMDR exhibited efficiency in identifying significant gene–gene interactions in genome-wide association studies.
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Affiliation(s)
- Cheng-Hong Yang
- Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, 80778, Taiwan.,Graduate Institute of Clinical Medicine, Kaohsiung Medical University, Kaohsiung, 80708, Taiwan
| | - Li-Yeh Chuang
- Department of Chemical Engineering and Institute of Biotechnology and Chemical Engineering, I-Shou University, Kaohsiung, 84004, Taiwan.
| | - Yu-Da Lin
- Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, 80778, Taiwan.
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21
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Yang Q, Wang S, Dai E, Zhou S, Liu D, Liu H, Meng Q, Jiang B, Jiang W. Pathway enrichment analysis approach based on topological structure and updated annotation of pathway. Brief Bioinform 2017; 20:168-177. [DOI: 10.1093/bib/bbx091] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Indexed: 12/31/2022] Open
Affiliation(s)
- Qian Yang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, People’s Republic of China
| | - Shuyuan Wang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, People’s Republic of China
| | - Enyu Dai
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, People’s Republic of China
| | - Shunheng Zhou
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, People’s Republic of China
| | - Dianming Liu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, People’s Republic of China
| | - Haizhou Liu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, People’s Republic of China
| | - Qianqian Meng
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, People’s Republic of China
| | - Bin Jiang
- College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China
| | - Wei Jiang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, People’s Republic of China
- College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China
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22
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Association of Smoking, Alcohol Use, and Betel Quid Chewing with Epigenetic Aberrations in Cancers. Int J Mol Sci 2017; 18:ijms18061210. [PMID: 28587272 PMCID: PMC5486033 DOI: 10.3390/ijms18061210] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Revised: 05/26/2017] [Accepted: 06/02/2017] [Indexed: 12/16/2022] Open
Abstract
Numerous environmental factors such as diet, alcohol use, stress, and environmental chemicals are known to elicit epigenetic changes, leading to increased rates of cancers and other diseases. The incidence of head and neck cancer, one of the most common cancers in Taiwanese males, is increasing: oral cancer and nasopharyngeal carcinoma are ranked fourth and tenth respectively, among the top ten cancers in this group, and a major cause of cancer-related deaths in Taiwanese males. Previous studies have identified smoking, alcohol use, and betel quid chewing as the three major causes of head and neck cancers; these three social habits are commonly observed in Taiwanese males, resulting in an increasing morbidity rate of head and neck cancers in this population. In this literature review, we discuss the association between specific components of betel quid, alcohol, and tobacco, and the occurrence of head and neck cancers, lung cancer, gastrointestinal cancers, and urethral cancer. We focus on regulatory mechanisms at the epigenetic level and their oncogenic effects. The review further discusses the application of FDA-approved epigenetic drugs as therapeutic strategies against cancer.
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23
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D'Souza W, Pradhan S, Saranath D. Multiple single nucleotide polymorphism analysis and association of specific genotypes in FHIT, SAMD4A, and ANKRD17 in Indian patients with oral cancer. Head Neck 2017; 39:1586-1595. [DOI: 10.1002/hed.24798] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2016] [Revised: 01/13/2017] [Accepted: 02/22/2017] [Indexed: 12/22/2022] Open
Affiliation(s)
- Wendy D'Souza
- Department of Biological Sciences; Sunandan Divatia School of Science, SVKM's NMIMS (Deemed-to-be) University, Vile Parle; Mumbai 400056 India
| | | | - Dhananjaya Saranath
- Department of Biological Sciences; Sunandan Divatia School of Science, SVKM's NMIMS (Deemed-to-be) University, Vile Parle; Mumbai 400056 India
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24
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Yang CH, Chuang LY, Lin YD. CMDR based differential evolution identifies the epistatic interaction in genome-wide association studies. Bioinformatics 2017; 33:2354-2362. [DOI: 10.1093/bioinformatics/btx163] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2016] [Accepted: 03/21/2017] [Indexed: 12/31/2022] Open
Affiliation(s)
- Cheng-Hong Yang
- Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan
- Graduate Institute of Clinical Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Li-Yeh Chuang
- Department of Chemical Engineering and Institute of Biotechnology and Chemical Engineering, I-Shou University, Kaohsiung, Taiwan
| | - Yu-Da Lin
- Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan
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25
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Interaction of MRE11 and Clinicopathologic Characteristics in Recurrence of Breast Cancer: Individual and Cumulated Receiver Operating Characteristic Analyses. BIOMED RESEARCH INTERNATIONAL 2017; 2017:2563910. [PMID: 28133604 PMCID: PMC5241446 DOI: 10.1155/2017/2563910] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/12/2016] [Accepted: 11/28/2016] [Indexed: 12/28/2022]
Abstract
The interaction between the meiotic recombination 11 homolog A (MRE11) oncoprotein and breast cancer recurrence status remains unclear. The aim of this study was to assess the interaction between MRE11 and clinicopathologic variables in breast cancer. A dataset for 254 subjects with breast cancer (220 nonrecurrent and 34 recurrent) was used in individual and cumulated receiver operating characteristic (ROC) analyses of MRE11 and 12 clinicopathologic variables for predicting breast cancer recurrence. In individual ROC analysis, the area under curve (AUC) for each predictor of breast cancer recurrence was smaller than 0.7. In cumulated ROC analysis, however, the AUC value for each predictor improved. Ten relevant variables in breast cancer recurrence were used to find the optimal prognostic indicators. The presence of any six of the following ten variables had a high (79%) sensitivity and a high (70%) specificity for predicting breast cancer recurrence: tumor size ≥ 2.4 cm, tumor stage II/III, therapy other than hormone therapy, age ≥ 52 years, MRE11 positive cells > 50%, body mass index ≥ 24, lymph node metastasis, positivity for progesterone receptor, positivity for epidermal growth factor receptor, and negativity for estrogen receptor. In conclusion, this study revealed that these 10 clinicopathologic variables are the minimum discriminators needed for optimal discriminant effectiveness in predicting breast cancer recurrence.
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26
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Czarny P, Kwiatkowski D, Toma M, Gałecki P, Orzechowska A, Bobińska K, Bielecka-Kowalska A, Szemraj J, Berk M, Anderson G, Śliwiński T. Single-Nucleotide Polymorphisms of Genes Involved in Repair of Oxidative DNA Damage and the Risk of Recurrent Depressive Disorder. Med Sci Monit 2016; 22:4455-4474. [PMID: 27866211 PMCID: PMC5119689 DOI: 10.12659/msm.898091] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background Depressive disorder, including recurrent type (rDD), is accompanied by increased oxidative stress and activation of inflammatory pathways, which may induce DNA damage. This thesis is supported by the presence of increased levels of DNA damage in depressed patients. Such DNA damage is repaired by the base excision repair (BER) pathway. BER efficiency may be influenced by polymorphisms in BER-related genes. Therefore, we genotyped nine single-nucleotide polymorphisms (SNPs) in six genes encoding BER proteins. Material/Methods Using TaqMan, we selected and genotyped the following SNPs: c.-441G>A (rs174538) of FEN1, c.2285T>C (rs1136410) of PARP1, c.580C>T (rs1799782) and c.1196A>G (rs25487) of XRCC1, c.*83A>C (rs4796030) and c.*50C>T (rs1052536) of LIG3, c.-7C>T (rs20579) of LIG1, and c.-468T>G (rs1760944) and c.444T>G (rs1130409) of APEX1 in 599 samples (288 rDD patients and 311 controls). Results We found a strong correlation between rDD and both SNPs of LIG3, their haplotypes, as well as a weaker association with the c.-468T>G of APEXI which diminished after Nyholt correction. Polymorphisms of LIG3 were also associated with early onset versus late onset depression, whereas the c.-468T>G polymorphism showed the opposite association. Conclusions The SNPs of genes involved in the repair of oxidative DNA damage may modulate rDD risk. Since this is an exploratory study, the results should to be treated with caution and further work needs to be done to elucidate the exact involvement of DNA damage and repair mechanisms in the development of this disease.
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Affiliation(s)
- Piotr Czarny
- Department of Molecular Genetics, University of Łódź, Łódź, Poland
| | | | - Monika Toma
- Department of Molecular Genetics, University of Łódź, Łódź, Poland
| | - Piotr Gałecki
- Department of Adult Psychiatry, Medical University of Łódź, Łódź, Poland
| | - Agata Orzechowska
- Department of Adult Psychiatry, Medical University of Łódź, Łódź, Poland
| | - Kinga Bobińska
- Department of Adult Psychiatry, Medical University of Łódź, Łódź, Poland
| | | | - Janusz Szemraj
- Department of Medical Biochemistry, Medical University of Łódź, Łódź, Poland
| | - Michael Berk
- IMPACT Research Center, Deakin University, Geelong, Australia
| | - George Anderson
- Clinical Research Communications Centre, CRC Scotland & London, London, United Kingdom
| | - Tomasz Śliwiński
- Department of Molecular Genetics, University of Łódź, Łódź, Poland
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Chuang LY, Moi SH, Lin YD, Yang CH. A comparative analysis of chaotic particle swarm optimizations for detecting single nucleotide polymorphism barcodes. Artif Intell Med 2016; 73:23-33. [DOI: 10.1016/j.artmed.2016.09.002] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2016] [Accepted: 09/29/2016] [Indexed: 01/24/2023]
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