Polymorphism of Riboavin Transporter (RFVT) Gene in Patients with Esophageal Cancer in Hakka Population in Southern China
←
→
Page content transcription
If your browser does not render page correctly, please read the page content below
Polymorphism of Riboflavin Transporter (RFVT) Gene in Patients with Esophageal Cancer in Hakka Population in Southern China Tao Li ( litaoli23@163.com ) Medical College of Jiaying University Wanqin Hu Medical University of jiaying University Minli Zheng medical college of jiaying university Bo Qiu medical college of jiaying university Yuhui Yang medical college of jiaying university Research Keywords: Riboflavin transporter, esophageal cancer, polymorphism,Hakka Posted Date: July 19th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-709003/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/13
Abstract Background: The aim of this study was to examine the human riboflavin transporter (RFVT) gene polymorphism in Hakka esophageal cancer patients in Guangdong Province and to explore its relationship with esophageal cancer. Methods: We used matrix-assisted laser desorption ionization flight time mass spectrometry to genotype RFVT1 rs346821 and RFVT2 rs13042395 in 211 Hakka esophageal cancer patients and 216 healthy controls in Meizhou. Results: There were polymorphisms in the rs346821 and rs13042395 in the two groups of Hakka; G/A polymorphism in the RFVT1 gene rs346821; three genotypes GG, AG, and AA of RFVT rs346821 were found in the Meizhou Hakka population, with distribution frequencies in the esophageal cancer group at 61.61, 36.02, and 2.37% respectively; the frequencies of allele G and A were 79.62 and 20.38%. The distribution frequencies of the three genotypes in the control subjects were 54.17, 40.28, and 5.55% respectively; the frequencies of allele G and A were 74.31 and 25.69%. There was a significant difference observed in the binary logistic analysis; the occurence of AG and AA genotypes in the Hakka population were 2.424 times and 1.922 times higher than that of the GG genotype. Bioinformatics analysis revealed that RFVT1 rs346821 had a missense mutation, and the corresponding amino acid was changed from alanine to valine, resulting in a change in its protein structure. Conclusions: The study concluded that RFVT1 rs346821 polymorphism might be associated with the genetic susceptibility of the Hakka population to esophageal cancer. The variation in the protein structure resulting from the variation of RFVT1 rs346821 might have a significant influence on the occurrence and development of esophageal cancer in the Hakka population. Introduction Esophageal cancer is one of the most common malignant tumors of the digestive tract and is the sixth leading cause of cancer deaths[1–3]. There were more than 572,000 people newly diagnosed with esophageal cancer and 508,585 deaths globally in 2018[4]. Esophageal cancer is also one of the most commonly diagnosed and fatal types of cancer in Asia, especially in East Asia [5]. Among them, China has the highest incidence of esophageal cancer, with 234,624 cases of esophageal cancer incidents and 212,586 deaths recorded in 2017[6], mostly in northern China[7–10], which has caused a heavy economic burden to Chinese people, especially in rural areas[11]. Esophageal cancer is a complex disease with various causes.In addition to alcohol, tobacco and intake of pickled vegetables[12–14], genetic polymorphism is also closely associated with the occurrence of esophageal cancer[2, 15–21].The RFVT gene is a riboflavin transporter and riboflavin deficiency is one of the important risk factors for esophageal cancer[22–24]. The association of riboflavin transporter with susceptibility to esophageal cancer is however, no clear. Page 2/13
Hakka is a sub-family of Chinese Han population and also widely distribute in Southeast Asia. Located in the northeast of Guangdong Province, China, the Meizhou region is known as the famous center of Hakka World, with a total area of 15,876 square kilometers and a population of 5.43 million. More than 95% of the residents living in Meizhou are Hakkas, who show lots of unique features in diet, life style, culture, language, and environment [25]. Esophageal cancer was one of the major diseases in the regions populated by the Hakka population. However, the relationship between RFVT gene polymorphism and susceptibility to esophageal cancer in this population, needs evaluation. This study is designed to evaluate the distribution of RFVT1 (rs346821) and RFVT2 (rs13042395) genotypes in this population and explore the relationship between the polymorphism and the susceptibility to esophageal cancer. 1. Material And Methods 1.1 Clinical data Newly diagnosed esophageal cancer patients (classified according to the ICD-151 standard) were recruited between July 2019 and December 2020 at the Affiliated Hospital of Medical College of Jiaying University and were approved by the hospital ethics committee. We included 211 esophageal cancer patients: 147 males and 64 females aged 35 to 80 years (average age, 60.44±9.33 years). All patients underwent endoscopy or pathological examination for clear diagnosis. We randomly selected 216 healthy subjects with non-digestive diseases and who were cancer-free and were of the same age. The control group included 136 males and 80 females aged 19 to 79 years (average age, 59.44±11.87 years). The patients in both groups had patrilineal and matrilineal Hakka ancestry and they had been living in the Meizhou municipality jurisdiction for 3 generations or more (including 3 generations). 1.2 Genomic DNA extraction Venous blood (2 ml) anticoagulated using heparin sodium was collected from each esophageal cancer patient or healthy control. A DNA extraction kit (Promega, USA) was used to extract DNA, according to the manufacturer’s instructions. The DNA was stored at -80℃ until further analysis. 1.3 Locus selection and primer design RFVT1 (rs346821) and RFVT2 (rs13042395) gene polymorphisms were selected, based on the gene target sequence and associated polymorphic loci. Polymerase chain reaction (PCR) primers were designed using the Sequenom Assay Design 3.1 software (Sequenom,Inc, Delaware, USA). The primers were amplified and extended using multiplex PCR, specific for this locus. The primers used are as follows: RFVT1 rs346821: forward: 5’- GGG CAA ACA GGA AAA GCT CT-3’ and reverse: 5’-AGG AGC AGA GGA GGA AGA GA -3’; RFVT2 rs13042395: forward: 5’- CCC AGC CCA AGA AAG TGA AG -3’; reverse: 5’- ACC AGC GCT CAA CAG ATA GA-3’.The primers were subjected to mass spectrometry using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) to evaluate the consistency between the actual and theoretical molecular weights, to ascertain the purity of primers for the Page 3/13
experimental requirements. Characteristic mass spectra of the RFVT1 (rs346821) and RFVT2 (rs13042395) genotypes are shown in Figure.S1. 1.4 Gene analysis Purified genomic DNA samples were diluted and added to a 384-well plate with the designed primers. The PCR reaction consisted of: 1U Taq polymerase, 20-50 ng genomic DNA, 2.5 pmol PCR primers, and 2.5mM deoxyribonucleotide triphosphate (dNTP). PCR amplification conditions were 95°C for 2 min, 45 cycles of 95°C for 30 s, 56°C for 30 s, and 72°C for 60 s. The remaining dNTP was removed by adding 0.3 U alkaline phosphatase. EXTEND MIX (2 µl) was added to complete the single-base extension process. The reaction conditions were 94°C for 5 s, 52°C for 5 s, 40 external cycles, and 80°Cfor 5 s×5 internal cycles, 72°C for 3 min; the products were stored at 4°C. Following resin desalination, the reaction products were spotted into SpectroCHIP chips (Sequenom) with an automatic spotting instrument and were analyzed using MALDI-TOF-MS. The mass spectra peak was detected using Typer 4.0 software; based on which the target locus genotypes of each sample were interpreted. 1.5 Comprehensive bioinformatics analysis NCBI database was used for analyzing rs346821 C>T point mutation and confirming the corresponding change in the amino acid sequence. The amino acid sequence of RFVT1 from different species was obtained from NCBI database, and the conservation of the mutation site was analyzed. 1.6 Protein model prediction I-TASSER open server was used to predict the protein structure. PYMOL was used to visualize the details of the protein structure. 1.7 Statistical analysis SPSS 21.0 was used for statistical analysis. Hardy-Weinberg equilibrium was tested; the genotype and allele frequency of the patient and control groups were analyzed using the chi-square test. A binary logistic regression analysis was used to evaluate the association between the polymorphic loci and esophageal cancer susceptibility with the odds ratio (OR) and 95% confidence interval (95% CI) as the relative risk. A P value of
groups was not statistically different (Table.S1). Distribution of the age in esophageal cancer group showed a normal distribution. The proportion of patients aged between 55 and 65 years was the highest, and the peak incidence occurred at around 60 years of age, and then decreased with age. The ratio of male to female patients was 2:1 (Table.S2). 2.2 Genotype frequency distribution of RFVT1 (SLC52A1) rs346821 and RFVT2 (C20orf54) rs13042395 in patients and controls The GG, GA, AA polymorphisms were present in rs346821 and CC, CT, and TT polymorphisms were present in the rs13042395 in the Meizhou Hakka population (Table 3). The distribution frequencies of rs346821 genotype GG, GA, and AA polymorphisms in the esophageal cancer group were 61.61%, 36.02%, and 2.37%, respectively; while those in the healthy control group were 54.17%, 40.28%, and 5.55%, respectively. Binary logistic regression analysis showed that the risk of developing esophageal cancer for subjects carrying the GA, AA genotype was higher than that for subjects carrying the GG genotype (OR = 2.424, 95% CI = 1.254–4.686; OR = 1.922, 95% CI = 1.005–3.674). Therefore, the risk of esophageal cancer in the Hakka population carrying the RFVT1 gene rs346821 locus GA and AA genotype was higher. The distribution frequencies of rs13042395 genotype CC, CT, and TT polymorphisms in the esophageal cancer group were 32.23%, 28.44%, and 39.33%%, respectively; while that in the healthy control group were 28.70%, 25.46%, and 45.84%, respectively (Table 1). There was no significant difference in the frequency between the two groups. Table 1 Distribution of the rs346821 and rs13042395 genotypes in esophageal cancer group and healthy control group Gene locus Genotypes esophageal cancer healthy OR 95%CL ༰ control (n = 211) (n = 216) rs346821 GG 130(61.61) 117(54.17) 1 GA 76(36.02) 87(40.28) 2.424 1.254ཞ4.686 0.008 AA 5(2.37) 12(5.55) 1.922 1.005ཞ3.674 0.048 rs13042395 CC 68(32.23) 62(28.70) 1 CT 60(28.44) 55(25.46) 1.005 0.671ཞ1.506 0.979 TT 83(39.33) 99(45.84) 0.769 0.572ཞ1.032 0.08 Page 5/13
2.3 Allele frequency distribution of the rs346821 and rs13042395 in the esophageal cancer and the healthy control groups The A and G allele frequencies of rs346821 in the esophageal cancer group were 20.38% and 79.62%, and those in healthy control group were 46.45% and 53.55%, respectively. There was no statistically significant difference in allele frequency between the two groups (chi-square = 1.377, P = 0.241). The C and T allele frequencies of rs13042395 in the esophageal cancer group were 46.45 and 53.55%, and those in healthy control group were 41.44% and 58.56%, respectively. The differences in allele frequencies between the two groups were not statistically significant (chi-square = 0.901, P = 0.342) (Table 2). These showed that the distribution of alleles of rs346821 and rs13042395 was not statistically different between the esophageal cancer and the healthy control groups. Table 2 Distribution of the rs346821 and rs13042395 alleles in esophageal cancer group and healthy control group Gene locus Alleles esophageal cancer healthy X2 ༰ control (n = 211) (n = 216) rs346821 A 86(20.38) 111(25.69) 1.377 0.241 G 336(79.62) 321(74.31) rs13042395 C 196(46.45) 179(41.44) 0.901 0.342 T 226(53.55) 253(58.56) Page 6/13
Table 3 Logistic analysis of age and gender of RFVT1 (rs346821) genotype in esophageal cancer group and healthy control group Variables esophageal cancer (n = 211) healthy control (n = 216) X2 P GG AG AA GG AG AA Gender Male 88 56 3 72 56 8 0.739 0.691 Female 42 20 2 45 31 4 Age(years) ≥60 65 34 2 50 45 8 0.518 0.772
2.5 Conservative analysis and protein model prediction of RFVT1 rs346821 We further analyzed the conservation of RFVT1 rs346821 and predicted its protein model. The results showed that the alanine at position 271 was significant conserved by BLAST (Fig. 1A). By using the I- TASSER public server, we predicted the protein structure and the protein structure was visualized using PyMOL. When alanine was replaced by valine, a small hydrophilic polar amino acid was replaced by the large hydrophobic aromatic amino acid, and the change of this domain influences the function of the RFVT1 protein (Fig. 1B). 3. Discussion Riboflavin is involved in the metabolism of fat, amino acid, vitamin, and carbohydrates and plays an important role in cell proliferation and angiogenesis. It maintains homeostasis. Riboflavin deficiency is a major risk factor for esophageal cancer. Proper supplementation of riboflavin could significantly reduce the prevalence and recurrence of esophageal cancer and improve the prognosis of esophageal cancer patients[26, 27]. However, the effect of dietary riboflavin supplementation varied among individuals, suggesting an interaction between environment and genetic factors in esophageal cancer. A Genome- Wide Association Study (GWAS) revealed that the Chinese RFVT2 gene was a susceptible gene in the Han, Hazaks, and Uygur esophageal cancer patients among China’s population; rs13042395 was the common susceptibility locus between the two types of esophageal cancer[28]. The other RFVT2 loci, such as 1172 C > A and 1246A > G, are also associated with esophageal cancer[29]. However, there are also suggestions that it may not contribute to risk of ESCC in Iranians [30]. Riboflavin transporter-1 (RFVT-1) is a plasma membrane protein, encoded by the SLC52A1 gene, which can transport vitamin B2 (riboflavin, RF) into cells. Therefore, it plays a role in controlling the intracellular homeostasis of RF. Currently, the relationship between RFVT1 rs346821 and RFVT2 rs13042395 and esophageal cancer in Hakka population is still unclear. The Hakkas are a branch of the Chinese Han population who speak Hakka and have a relatively unique genetic background and diet in the Han branch. Studies on the association of gene polymorphisms with susceptibility to esophageal cancer in the Hakka population have been inconclusive. This study showed that the average age of patients with esophageal cancer in this area was between 55 and 65 years of age, with a peak of 60 years. The prevalence of esophageal cancer was higher in male patients when compared to that in female patients, with the ratio of male to female at 1:2, which was consistent with earlier reports. Analysis of RFVT1 (rs346821) and RFVT2 (rs13042395) genotypes showed that there were polymorphisms at rs346821 (A/G) and rs13042395(C/T) in the Hakka population. Among them, there were GG, AG, and AA polymorphisms of rs346821 gene in the Hakka population in Meizhou. The Page 8/13
frequencies of distribution of rs346821 genotype among esophageal cancer patients were 61.61, 36.02, and 2.37 %, respectively; while those in the controls were 54.17, 40.28, and 5.55%, respectively. Subjects with the GA genotype (OR = 2.424, 95% CI = 1.254ཞ4.686) and AA genotype (OR = 1.922, 95% CI = 1.005ཞ3.674) had a higher risk of developing esophageal cancer, when compared to those carrying the GG genotype. The risk of esophageal cancer was higher in the Hakka people, who carried the GA and AA genotypes of RFVT1 rs346821. The distribution frequencies of rs13042395 genotypes was not significantly different between the esophageal cancer and the control groups, indicating that the rs13042395 genotypes might not be associated with esophageal cancer in the Hakka population. There were no significant differences in the distribution frequency of the alleles and the stratified analysis, based on age and gender, of the RFVT1 (rs346821) and RFVT2 (rs13042395) genes between the esophageal cancer and the control groups. The results of this study are consistent with most studies[30– 32], but there are also studies suggesting that rs13042395 genotype is associated with esophageal cancer in Chinese Han population[33].This could possibly be attributed to the relatively unique genetic background of the Hakka population in the Han branch. The Hakka are most similar to the Han, but they also show the characteristics of the Shes nationality, who speak the Miao language in China, which is different from that of the southern Han, who speak the Dong Tai language[34]. The results of this study further confirm that differences in genetic polymorphism are associated with different populations, races, and regions. In this study, a c.812C > T (p.Ala271Val) variant in rs346821 was identified. The mutation at this site was a missense mutation, resulting in the mutation of alanine to valine, and the alanine at position 271 was highly conserved among 6 vertebrates. The alanine to valine substitution is likely to significantly impact the functionality of RFVT1, as this is a change from a small hydrophilic polar amino acid to a large hydrophobic aromatic amino acid. 4. Conclusions In conclusion, RFVT1 (rs346821) polymorphism might be associated with esophageal cancer susceptibility in the Hakka population in Guangdong Province. c.812C > T (p.Ala271Val) variant in rs346821 might affect the function of RFVT1 by altering the protein structure, which might influence the occurrence of esophageal cancer in the Hakka population. This is significant for the diagnosis of esophageal cancer in Hakka population. Genetic-mutation animal model construction and functional studies would further elucidate the pathogenesis of esophageal cancer in hakka population. Abbreviations RFVT riboflavin transporter; OR:odds ratio; CI:confidence interval; PCR:polymerase chain reaction. Declarations Page 9/13
Acknowledgements We thank Dr. Mingyuan Wang for his support in bioinformatics in this study. Authors’ contributions Tao Li and Bo Qiu contributed to the conception and designed the study. Wanqin Hu and Minli Zheng collected the data and carried out the experiment. Yuhui Yang edited the manuscript. All authors read and approved the final manuscript. Funding This research was supported by grants from the science and technology Foundation of Guangdong Province (NO: 2013B021800084). Availability of data and materials The datasets supporting the conclusion of this article are included within the article. Ethics approval and consent to participate Not applicable. Consent for publication Not applicable. Competing interests The authors declare no conflict of interest. References 1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68:394–424. 2. Abnet CC, Arnold M, Wei WQ. Epidemiology of Esophageal Squamous Cell Carcinoma. Gastroenterology. 2018;154:360–73. 3. Uhlenhopp DJ, Then EO, Sunkara T, Gaduputi V. Epidemiology of esophageal cancer: update in global trends, etiology and risk factors. Clin J Gastroenterol. 2020;13:1010–21. 4. Thrift AP. Global burden and epidemiology of Barrett oesophagus and oesophageal cancer. Nat Rev Gastroenterol Hepatol. 2021;18:1–2. 5. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2019. CA Cancer J Clin. 2019;69:7–34. 6. Yang S, Lin S, Li N, Deng Y, Wang M, Xiang D, Xiang G, Wang S, Ye X, Zheng Y, et al. Burden, trends, and risk factors of esophageal cancer in China from 1990 to 2017: an up-to-date overview and comparison with those in Japan and South Korea. J Hematol Oncol. 2020;13:146. Page 10/13
7. Abudukadeer A, Azam S, Mutailipu AZ, Qun L, Guilin G, Mijiti S. Knowledge and attitude of Uyghur women in Xinjiang province of China related to the prevention and early detection of cervical cancer. World J Surg Oncol. 2015;13:110. 8. Wang SM, Abnet CC, Qiao YL. What have we learned from Linxian esophageal cancer etiological studies? Thorac Cancer. 2019;10:1036–42. 9. GBD. 2017 Oesophageal Cancer Collaborators. The global, regional, and national burden of oesophageal cancer and its attributable risk factors in 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet Gastroenterol Hepatol 2020, 5:582–597. 10. Zheng Y, Fan Y, Zeng Y, Liu S, Gao L. Different Genotype Distribution of Human Papillomavirus between Cervical and Esophageal Cancers: A Study in Both High-Incidence Areas, Xinjiang, China. Biomed Res Int. 2020;2020:7926754. 11. Chen W, Zheng R, Baade PD, Zhang S, Zeng H, Bray F, Jemal A, Yu XQ, He J. Cancer statistics in China, 2015. CA Cancer J Clin. 2016;66:115–32. 12. Rustgi AK, El-Serag HB. Esophageal carcinoma. N Engl J Med. 2014;371:2499–509. 13. Zhang Y. Epidemiology of esophageal cancer. World J Gastroenterol. 2013;19:5598–606. 14. Islami F, Ren JS, Taylor PR, Kamangar F. Pickled vegetables and the risk of oesophageal cancer: a meta-analysis. Br J Cancer. 2009;101:1641–7. 15. Zhang P, Xia JH, Zhu J, Gao P, Tian YJ, Du M, Guo YC, Suleman S, Zhang Q, Kohli M, et al: High- throughput screening of prostate cancer risk loci by single nucleotide polymorphisms sequencing. Nat Commun 2018, 9:2022. 16. Suo C, Yang Y, Yuan Z, Zhang T, Yang X, Qing T, Gao P, Shi L, Fan M, Cheng H, et al: Alcohol Intake Interacts with Functional Genetic Polymorphisms of Aldehyde Dehydrogenases (ALDH2) and Alcohol Dehydrogenase (ADH) to Increase Esophageal Squamous Cell Cancer Risk. J Thorac Oncol 2019. 17. Lin DC, Wang MR, Koeffler HP. Genomic and Epigenomic Aberrations in Esophageal Squamous Cell Carcinoma and Implications for Patients. Gastroenterology. 2018;154:374–89. 18. Dong J, Levine DM, Buas MF, Zhang R, Onstad L, Fitzgerald RC, Corley DA, Shaheen NJ, Lagergren J, Hardie LJ, et al: Interactions Between Genetic Variants and Environmental Factors Affect Risk of Esophageal Adenocarcinoma and Barrett's Esophagus. Clin Gastroenterol Hepatol 2018. 19. Yu C, Guo Y, Bian Z, Yang L, Millwood IY, Walters RG, Chen Y, Chen Y, Zhang X, Lei Y, et al: Association of low-activity ALDH2 and alcohol consumption with risk of esophageal cancer in Chinese adults: A population-based cohort study. Int J Cancer 2018. 20. Suo C, Qing T, Liu Z, Yang X, Yuan Z, Yang YJ, Fan M, Zhang T, Lu M, Jin L, et al: Differential cumulative risk of genetic polymorphisms in familial and non-familial esophageal squamous cell carcinoma. Cancer Epidemiol Biomarkers Prev 2019. 21. Yang F, Wei K, Qin Z, Shao C, Shu Y, Shen H. Association between TNF-ɑ-308G/A polymorphism and esophageal cancer risk: An updated meta-analysis and trial sequential analysis. J Cancer. 2019;10:1086–96. Page 11/13
22. He Y, Ye L, Shan B, Song G, Meng F, Wang S. Effect of riboflavin-fortified salt nutrition intervention on esophageal squamous cell carcinoma in a high incidence area, China. Asian Pac J Cancer Prev. 2009;10:619–22. 23. Siassi F, Ghadirian P. Riboflavin deficiency and esophageal cancer: a case control-household study in the Caspian Littoral of Iran. Cancer Detect Prev. 2005;29:464–9. 24. Ainiwaer J, Tuerhong A, Hasim A, Chengsong D, Liwei Z, Sheyhidin I. Association of the plasma riboflavin levels and riboflavin transporter (C20orf54) gene statuses in Kazak esophageal squamous cell carcinoma patients. Mol Biol Rep. 2013;40:3769–75. 25. Zhao P, Hou J, Wu H, Zhong M. Analysis of genetic polymorphism of methylenetetrahydrofolate reductase in a large ethnic Hakka population in southern China. Medicine. 2018;97:e13332. 26. Ji AF, Wei W, Wang JS, Wei ZB, Lian CH, Yang JZ, Zhao L, Ma L, Ma L, Qin XQ, et al. A comparison and significance of plasma riboflavin levels in patients with esophageal squamous cell carcinoma versus Linzhou healthy migrants in Changzhi of Shanxi. Zhonghua Nei Ke Za Zhi. 2011;50:1048–50. 27. Li SS, Xu YW, Wu JY, Tan HZ, Wu ZY, Xue YJ, Zhang JJ, Li EM, Xu LY. Plasma Riboflavin Level is Associated with Risk, Relapse, and Survival of Esophageal Squamous Cell Carcinoma. Nutr Cancer. 2017;69:21–8. 28. Wang LD, Zhou FY, Li XM, Sun LD, Song X, Jin Y, Li JM, Kong GQ, Qi H, Cui J, et al. Genome-wide association study of esophageal squamous cell carcinoma in Chinese subjects identifies susceptibility loci at PLCE1 and C20orf54. Nat Genet. 2010;42:759–63. 29. Ji A, Wang J, Yang J, Wei Z, Lian C, Ma L, Ma L, Chen J, Qin X, Wang L, Wei W. Functional SNPs in human C20orf54 gene influence susceptibility to esophageal squamous cell carcinoma. Asian Pac J Cancer Prev. 2011;12:3207–12. 30. Nariman-Saleh-Fam Z, Saadatian Z, Nariman-Saleh-Fam L, Ouladsahebmadarek E, Tavakkoly- Bazzaz J, Bastami M. An Association and Meta-Analysis of Esophageal Squamous Cell Carcinoma Risk Associated with PLCE1 rs2274223, C20orf54 rs13042395 and RUNX1 rs2014300 Polymorphisms. Pathol Oncol Res. 2020;26:681–92. 31. Gu H, Ding G, Zhang W, Liu C, Chen Y, Chen S, Jiang P. Replication study of PLCE1 and C20orf54 polymorphism and risk of esophageal cancer in a Chinese population. Mol Biol Rep. 2012;39:9105– 11. 32. Dong Y, Chen J, Chen Z, Tian C, Lu H, Ruan J, Yang W. Evaluating the Association of Eight Polymorphisms with Cancer Susceptibility in a Han Chinese Population. PLoS One. 2015;10:e0132797. 33. Tan HZ, Wu ZY, Wu JY, Long L, Jiao JW, Peng YH, Xu YW, Li SS, Wang W, Zhang JJ, et al. Single nucleotide polymorphism rs13042395 in the SLC52A3 gene as a biomarker for regional lymph node metastasis and relapse-free survival of esophageal squamous cell carcinoma patients. BMC Cancer. 2016;16:560. 34. Zheng L, Li Y, Lu S, Bao J, Wang Y, Zhang X, Xue H, Rong W. Physical characteristics of Chinese Hakka. Sci China Life Sci. 2013;56:541–51. Page 12/13
Figures Figure 1 Conservative analysis and protein model prediction of RFVT1 rs346821. A.Conservation analysis of the alanine at position 271 (p.F271) among 6 vertebrates. B.Cartoon representationof the model structure of RFVT1 by PyMOL. Supplementary Files This is a list of supplementary files associated with this preprint. Click to download. Supplementarymaterial.docx Page 13/13
You can also read