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Abedini F, Rahmanian N, Heidari Z, Feizi A, Sherkat R, Rezaei M. Diversity of HLA class I and class II alleles in Iran populations: Systematic review and Meta-Analaysis. Transpl Immunol 2021; 69:101472. [PMID: 34555503 DOI: 10.1016/j.trim.2021.101472] [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: 08/21/2021] [Revised: 09/16/2021] [Accepted: 09/16/2021] [Indexed: 10/20/2022]
Abstract
The human leukocyte antigen (HLA) system plays an essential role in the peptides antigen presentation and more regulation of immune responses. Regarding all HLA molecules' associations with various diseases and their clinical utilities in understanding drug reactions or prediction of transplantation outcome, there is a need for much more extensive HLA data generated from Asian countries. METHOD A comprehensive search was conducted in electronic databases between 1990 and 2021 to identify relevant articles to HLA frequency in the normal Iranian population. Two independent reviewers screened and selected the eligible studies. After data extraction, the meta-analysis was performed using STATA version 14. The overall frequencies and their 95% confidence intervals (CIs) were obtained using the random-effects model. RESULTS Among 1141 studies 78 were eligible for this study and the sample sizes varied from 14 to 15,600. The most frequent alleles of HLA class I were HLA-A*02 (22%; 95%CI: 20-24%; I2 = 88.63%), -B*35 (18%; 95%CI: 16-21%; I2 = 90.95%), -C*12 (18%; 95%CI: 13-22%; I2 = 89.51%). HLA-DQA1*01 (42%; 95%CI: 40-44%; I2 = 56.80%), -DQB1*03 (38%; 95%CI: 35-42%; I2 = 92.38%), and -DRB1*11 (24%; 95%CI: 22-26%; I2 = 90.72%) were the most frequent alleles of HLA class II in Iran. DISCUSSION Our meta-analysis results point out that the comprehensive report of HLA allele frequency in the Iranian population could be helpful as reference data for planning and managing transplantation and immune disease treatment in Iran.
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Affiliation(s)
- Fateme Abedini
- Cancer Prevention Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Narges Rahmanian
- Cancer Prevention Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Applied Physiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Zahra Heidari
- Department of Biostatistics and Epidemiology, School of Health, Isfahan University of Medical sciences, Isfahan, Iran
| | - Awat Feizi
- Department of Biostatistics and Epidemiology, School of Health, Isfahan University of Medical sciences, Isfahan, Iran
| | - Roya Sherkat
- Acquired Immunodeficiency Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Marzieh Rezaei
- Department of Immunology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
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Huang X, Huang L, Xie Q, Zhang L, Huang S, Hong M, Li J, Huang Z, Zhang H. LncRNAs serve as novel biomarkers for diagnosis and prognosis of childhood ALL. Biomark Res 2021; 9:45. [PMID: 34112247 PMCID: PMC8193891 DOI: 10.1186/s40364-021-00303-x] [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: 03/15/2021] [Accepted: 05/25/2021] [Indexed: 02/12/2023] Open
Abstract
Background Although some studies have demonstrated that lncRNAs are dysregulated in hematopoietic malignancies and may regulate the progression of leukemia, the detailed mechanism underlying tumorigenesis is still unclear. This study aimed to investigate lncRNAs that are differentially expressed in childhood B-cell acute lymphoblastic leukemia (B-ALL) and T-cell acute lymphoblastic leukemia (T-ALL) and their potential roles in the progression of childhood ALL. Methods Microarrays were used to detect differentially expressed lncRNAs and mRNAs. Several aberrantly expressed lncRNAs were validated by qRT-PCR. Leukemia-free survival was analyzed using the Kaplan–Meier method with a log-rank test. The co-expression correlations of lncRNAs and mRNAs were determined by Spearman’s correlation coefficient. CCK-8 assays and flow cytometry were performed to measure cell proliferation and apoptosis. Results We revealed that many lncRNAs were abnormally expressed in B-ALL and T-ALL. LncRNA/mRNA co-expression and the gene locus network showed that dysregulated lncRNAs are involved in diverse cellular processes. We also assessed the diagnostic value of the differentially expressed lncRNAs and confirmed the optimal combination of TCONS_00026679, uc002ubt.1, ENST00000411904, and ENST00000547644 with an area under the curve of 0.9686 [95 % CI: 0.9369–1.000, P < 0.001], with 90.7 % sensitivity and 92.19 % specificity, at a cut-off point of -0.5700 to distinguish childhood B-ALL patients from T-ALL patients, implying that these specific lncRNAs may have potential to detect subsets of childhood ALL. Notably, we found that the 8-year leukemia-free survival of patients with high TCONS_00026679 (p = 0.0081), ENST00000522339 (p = 0.0484), ENST00000499583 (p = 0.0381), ENST00000457217 (p = 0.0464), and ENST00000451368 (p = 0.0298) expression levels was significantly higher than that of patients with low expression levels of these lncRNAs, while patients with high uc002ubt.1 (p = 0.0499) and ENST00000547644 (p = 0.0451) expression levels exhibited markedly shorter 8-year leukemia-free survival. In addition, some lncRNAs were found to play different roles in cell proliferation and apoptosis in T-ALL and B-ALL. Conclusions Dysregulated lncRNAs involved in different regulatory mechanisms underlying the progression of childhood T-ALL and B-ALL might serve as novel biomarkers to distinguish ALL subsets and indicate poor outcomes. Supplementary Information The online version contains supplementary material available at 10.1186/s40364-021-00303-x.
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Affiliation(s)
- Xuanmei Huang
- Institute of Laboratory Medicine, Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Key Laboratory of Big Data Mining and Precision Drug Design, School of Medical Technology, Guangdong Medical University, Guangdong Medical University, 523808, Dongguan, China
| | - Libin Huang
- Department of Pediatrics, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhong shan Er Lu, 510080, Guangzhou, China
| | - Qing Xie
- Institute of Laboratory Medicine, Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Key Laboratory of Big Data Mining and Precision Drug Design, School of Medical Technology, Guangdong Medical University, Guangdong Medical University, 523808, Dongguan, China
| | - Ling Zhang
- Health Science Center, The University of Texas, 77030, Houston, USA
| | - Shaohui Huang
- Institute of Laboratory Medicine, Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Key Laboratory of Big Data Mining and Precision Drug Design, School of Medical Technology, Guangdong Medical University, Guangdong Medical University, 523808, Dongguan, China
| | - Mingye Hong
- Institute of Laboratory Medicine, Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Key Laboratory of Big Data Mining and Precision Drug Design, School of Medical Technology, Guangdong Medical University, Guangdong Medical University, 523808, Dongguan, China
| | - Jiangbin Li
- Institute of Laboratory Medicine, Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Key Laboratory of Big Data Mining and Precision Drug Design, School of Medical Technology, Guangdong Medical University, Guangdong Medical University, 523808, Dongguan, China
| | - Zunnan Huang
- Institute of Laboratory Medicine, Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Key Laboratory of Big Data Mining and Precision Drug Design, School of Medical Technology, Guangdong Medical University, Guangdong Medical University, 523808, Dongguan, China
| | - Hua Zhang
- Institute of Laboratory Medicine, Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Key Laboratory of Big Data Mining and Precision Drug Design, School of Medical Technology, Guangdong Medical University, Guangdong Medical University, 523808, Dongguan, China.
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Sayad A, Akbari MT, Ostadali M, Hamidieh AA, Arsang-Jang S, Hajifathali A, Ghafouri-Fard S, Taheri M. Comprehensive assessment of association between HLA polymorphisms and acute leukemia in Iranian population. GENE REPORTS 2020. [DOI: 10.1016/j.genrep.2020.100674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Ghayour-Mobarhan M, Zangouei AS, Hosseinirad SM, Mojarrad M, Moghbeli M. Genetics of blood malignancies among Iranian population: an overview. Diagn Pathol 2020; 15:44. [PMID: 32375828 PMCID: PMC7201799 DOI: 10.1186/s13000-020-00968-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Accepted: 04/29/2020] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Blood malignancies are among the leading causes of cancer related deaths in the world. Different environmental and genetic risk factors are involved in progression of blood malignancies. It has been shown that the lifestyle changes have affected the epidemiological patterns of these malignancies. Hematologic cancers are the 5th common cancer among Iranian population. It has been observed that there is a rising trend of blood malignancies incidences during the recent decades. Therefore, it is required to design novel diagnostic methods for the early detection of such malignancies in this population. MAIN BODY In present review we have summarized all of the significant genes which have been reported among Iranian patients with blood malignancies. The reported genes were categorized based on their cell and molecular functions to clarify the molecular biology and genetics of blood malignancies among Iranian patients. CONCLUSION It was observed that the epigenetic and immune response factors were the most frequent molecular processes associated with progression of blood malignancies among Iranian population. This review paves the way of introducing a population based panel of genetic markers for the early detection of blood malignancies in this population.
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Affiliation(s)
- Majid Ghayour-Mobarhan
- Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Amir Sadra Zangouei
- Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | | | - Majid Mojarrad
- Department of Medical Genetics and Molecular Medicine, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Meysam Moghbeli
- Department of Medical Genetics and Molecular Medicine, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
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Zhong C, Gragert L, Maiers M, Hill BT, Garcia-Gomez J, Gendzekhadze K, Senitzer D, Song J, Weisenburger D, Goldstein L, Wang SS. The association between HLA and non-Hodgkin lymphoma subtypes, among a transplant-indicated population. Leuk Lymphoma 2019; 60:2899-2908. [PMID: 31215275 DOI: 10.1080/10428194.2019.1617858] [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] [Indexed: 10/26/2022]
Abstract
Several studies have implicated HLA in non-Hodgkin lymphoma (NHL) subtype etiology. However, NHL patients indicated for stem cell transplants are underrepresented in these reports. We therefore evaluated the association between HLA and NHL subtypes among a transplant-indicated population. One thousand three hundred and sixty-six NHL patients HLA-typed and indicated for transplant at the City of Hope National Medical Center (Duarte, CA) were compared to 10,271 prospective donors. Odds ratios and 95% confidence intervals were calculated for HLA haplotype and alleles, adjusted for sex and age. The HLA-A*0201∼C*0602∼B*1302∼DRB1*0701∼DQB1*0201 haplotype was significantly associated with follicular lymphoma (FL) risk among Caucasians. Several haplotypes were associated with diffuse large B-cell lymphoma (DLBCL) risk among Caucasians, including the previously implicated DLBCL risk loci, HLA-B*0801. The HLA-A*0101 allele was also observed to be associated with mantle cell lymphoma (MCL) risk. Our results support the association between previously reported susceptibility loci and FL and suggest potentially new DLBCL and MCL risk loci.
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Affiliation(s)
- Charlie Zhong
- Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Loren Gragert
- Department of Pathology and Laboratory Medicine, Tulane Cancer Center, Tulane University School of Medicine, New Orleans, LA, USA.,Bioinformatics Research, National Marrow Donor Program/Be The Match, Minneapolis, MN, USA
| | - Martin Maiers
- Bioinformatics Research, National Marrow Donor Program/Be The Match, Minneapolis, MN, USA
| | - Brian T Hill
- Hematologic Oncology and Blood Disorders, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | | | | | - David Senitzer
- Histocompatibility Laboratory, City of Hope, Duarte, CA, USA
| | - Joo Song
- Department of Pathology, City of Hope, Duarte, CA, USA
| | | | - Leanne Goldstein
- Division of Biostatistics, Beckman Research Institute of the City of Hope, Duarte, CA, USA
| | - Sophia S Wang
- Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope, Duarte, CA, USA
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Urayama KY, Thompson PD, Taylor M, Trachtenberg EA, Chokkalingam AP. Genetic variation in the extended major histocompatibility complex and susceptibility to childhood acute lymphoblastic leukemia: a review of the evidence. Front Oncol 2013; 3:300. [PMID: 24377085 PMCID: PMC3859964 DOI: 10.3389/fonc.2013.00300] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2013] [Accepted: 11/26/2013] [Indexed: 11/13/2022] Open
Abstract
The enduring suspicion that infections and immunologic response may play a role in the etiology of childhood leukemia, particularly acute lymphoblastic leukemia (ALL), is now supported, albeit still indirectly, by numerous epidemiological studies. The cumulative evidence includes, for example, descriptive observations of a peculiar peak incidence at age 2–5 years for ALL in economically developed countries, clustering of cases in situations of population mixing associated with unusual patterns of personal contacts, associations with various proxy measures for immune modulatory exposures early in life, and genetic susceptibility conferred by variation in genes involved in the immune system. In this review, our focus is the extended major histocompatibility complex (MHC), an approximately 7.6 Mb region that is well-known for its high-density of expressed genes, extensive polymorphisms exhibiting complex linkage disequilibrium patterns, and its disproportionately large number of immune-related genes, including human leukocyte antigen (HLA). First discovered through the role they play in transplant rejection, the classical HLA class I (HLA-A, -B, and -C) and class II (HLA-DR, HLA-DQ, and HLA-DP) molecules reside at the epicenter of the immune response pathways and are now the targets of many disease susceptibility studies, including those for childhood leukemia. The genes encoding the HLA molecules are only a minority of the over 250 expressed genes in the xMHC, and a growing number of studies are beginning to evaluate other loci through targeted investigations or utilizing a mapping approach with a comprehensive screen of the entire region. Here, we review the current epidemiologic evidence available to date regarding genetic variation contained within this highly unique region of the genome and its relationship with childhood ALL risk.
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Affiliation(s)
- Kevin Y Urayama
- School of Public Health, University of California , Berkeley, CA , USA ; Center for Clinical Epidemiology, St. Luke's Life Science Institute , Tokyo , Japan
| | - Pamela D Thompson
- Cancer Immunogenetics, St. Mary's Hospital, University of Manchester , Manchester , UK
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