Literature DB >> 28210099

Study of polymorphisms in the TP53 and RB1 genes in children with retinoblastoma in northern Mexico.

Edwin J Anaya-Pava1, Jesús Nares-Cisneros2, Rubén I Cárdenas-Hernández3, Yolanda Jaramillo-Rodríguez4, Graciela Zambrano-Galván5.   

Abstract

PURPOSE: To determine the frequency and association of polymorphisms in the TP53 and RB1 genes with clinical characteristics in a group of children with retinoblastoma (RB) in northern Mexico.
METHODS: A prospective, longitudinal, and analytical study of 11 patients diagnosed with RB was conducted. Endpoint PCR and high-resolution real-time PCR were performed. Chi-square and Student t tests were used to evaluate associations between variables. Allelic frequencies, as well as genotypic and Hardy-Weinberg equilibriums, were evaluated using Guo and Thompson's method.
RESULTS: We found a statistically significant difference between the polymorphism RB1-GG/rs9568036 and tumor chemoresistance (p<0.05). The allelic variants RB1-AA and AG/rs9568036 were determined to be associated with tumor chemosensitivity (p<0.05). A statistically significant relation between the polymorphism RB1-GG/rs9568036 and males (p = 0.0386), rate ratio (RR) = 2.0 (95% confidence interval [CI] = 0.76-5.32), as well as between the allelic variants RB1-AA and AG/rs9568036 and females (p = 0.0027), RR = 8.0 (95% CI = 1.28-50.04), was observed. We also observed a statistically significant association between the rs1042522 polymorphism in the TP53 gene and unilateral presentation of the disease.
CONCLUSIONS: The rs9568036 polymorphism in the RB1 gene and the allelic variants can be associated with type of response to medical therapy and associated with male sex, while the allelic variant rs1042522 polymorphism in the TP53 gene is associated with the unilateral presentation of the disease in a group of Mexican children with RB.

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Year:  2017        PMID: 28210099      PMCID: PMC5287443     

Source DB:  PubMed          Journal:  Mol Vis        ISSN: 1090-0535            Impact factor:   2.367


Introduction

Retinoblastoma (RB) is a primary intraocular tumor that is most commonly malignant in childhood; this condition arises from primitive neural retinal cells destined to become photoreceptors and corresponds to 11% of all cancers in the first year of life [1,2]. The incidence of RB worldwide is estimated at between 5,000 and 8,000 new cases per year, and although RB can occur at any age, this tumor occurs most often in preschool children (95% of cases diagnosed before 5 years of age) [3-5]. The primary genetic event associated with RB is the inactivation of both alleles of the RB1 gene (Gene ID: 5925, OMIM 614041) in the 13q14 locus by translocations, deletions, insertions, and point mutations [6,7]. Genetically, RB presents as hereditary (40%) or non-hereditary (60%). In the inherited form, a constitutional mutated allele is always transmitted via germs; meanwhile, in the non-hereditary form, both alleles are inactivated by somatic mutations [8,9]. The TP53 gene (Gene ID: 7157, OMIM 191170) is located at 17p13.1 and provides instructions for making the p53 tumor protein (p53); this protein acts as a tumor suppressor and binds directly to DNA. When p53 is damaged, other genes are activated to repair the damage. If the DNA cannot be repaired, this protein prevents the cell from dividing and sends signals for apoptosis; thus, the protein has been nicknamed the “guardian of the genome” [10,11]. Genetic polymorphisms are variants of genome mutations that appear in certain individuals. These polymorphisms are transmitted to offspring and acquire a certain frequency in the population after many generations. The most common polymorphisms are single base changes, known as single nucleotide polymorphisms (SNPs) [12,13]. The aim of this study was to determine the frequency and association between the SNP rs9568036 (the RB1 gene) and the SNP rs1042522 (TP53) and clinical characteristics in a group of Mexican children with RB.

Methods

A total of 11 pediatric patients under 10 years of age with a diagnosis of RB confirmed by histopathological studies who presented at our hospital between March 2015 and August 2015 for close follow-up exams after completion of chemotherapy were recruited for polymorphism detection (men 63.6%, mean diagnosis age=16 months, range 3-37; woman 36.4%, mean diagnosis age=20 months, range 4-42). The mean duration of follow-up after diagnosis was 30 months (range 4-87). We excluded patients who had received blood transfusions in the previous 6 months or those who had received an organ donation. The study was approval by the Local Research Ethics Committee of High Specialty Medicine Unit, Specialty Hospital (UMAE) No. 71 of Mexican Institute of Social Security (IMSS) with code registered R2015–501–70 20, and informed consent was obtained from the responsible caregiver for all cases. The study was conducted in accordance with the Declaration of Helsinki and in compliance with the laws and regulations of the Mexican General Law of Health in Research for Health. Fifteen microliters of venous blood of patients with RB were obtained, placed in 100 µl of cell lysis solution, and immediately stored at 2 °C. Polymorphism analysis was performed by amplification of the polymorphic site with conventional PCR using GoTaq Master Mix (Promega Inc., Madison, WI) to obtain similar amounts of amplification products from each sample. The 15 µl reaction contained 7.5 μl GoTaq Master Mix, 5.7 μl water, 0.3 μl the each primer (AAG GGA GGG ATA GCA TTA GGA (Sense), GAA TGT GCA GGT TTG TTA CAT AGG (AntiSense) for RB1(rs9568036) and CAT CAC ACC CTC AGC ATC TC (Sense), GCC TGG TCA GGA GCT TAT TT (AntiSense) for TP53 (rs1042522)) and 1.2 μl blood lysate. High-resolution melt (HRM) analysis, which is based on the characterization of the PCR products according the dissociation behavior of the DNA strand, was performed because this method is sensitive even to a simple change of base. A melting temperature (Tm) of 55 °C to 95 °C was used to cover all melting points according to the exchange rate base. A second amplification was performed using real-time PCR. The conditions of the conventional PCR amplification were: initial denaturation at 94 °C for 10 min, followed by an amplification of 55 cycles of 95 °C / 45 s; 54 °C / 45 s; 72 °C / 45 s. The reaction mixture for each sample (15 μl) was prepared according to the manual accompanying the HRM Type-it reagent (Qiagen Inc., Germantown, MD), and contained 7.5 μl, 5.9 μl water, 0.3 μl sense primer, 0.3 μl antisense primer, and 1 μl PCR product (Table 1). The conditions of a second amplification using real-time PCR were the same that conventional PCR, only that they used 20 cycles for both polymorphisms; for the analysis of the melt curves a RotorGene thermocycler (Quiagen Inc. Germantown, Maryland) was used with HRM channel. DNA melting curve analysis between 55 °C and 90 °C for both genes was used as an internal control to prevent false-negative or false-positive results (Figure 1).
Table 1

Polymorphisms and sequences of RB1 and TP53.

PolymorphismSequence (5’-3’)Amplicon size
RB1 (rs9568036)
F: AAGGGAGGGATAGCATTAGGA
R: GAATGTGCAGGTTTGTTACATAGG
105 bp
TP53 (rs1042522)F: CATCACACCCTCAGCATCTC
R: GCCTGGTCAGGAGCTTATTT97 bp
Figure 1

DNA melting curve analysis for the RB1 and TP53 genes. The change in fluorescence with increasing temperature was measured. As the temperature increased, the strands of the amplicon separate to form single-stranded DNA, causing the fluorescent intercalating dye to dissociate from the DNA and stop fluorescing. HET, heterozygote; WH, wild homozygous; MH, mutated homozygote.

DNA melting curve analysis for the RB1 and TP53 genes. The change in fluorescence with increasing temperature was measured. As the temperature increased, the strands of the amplicon separate to form single-stranded DNA, causing the fluorescent intercalating dye to dissociate from the DNA and stop fluorescing. HET, heterozygote; WH, wild homozygous; MH, mutated homozygote. The SNPs rs9568036 (RB1) and rs1042522 (TP53) selected for the study were taken from the HapMap SNP database and were genotyped by iSelect HD Bead-Chip (Illumina, San Diego, CA). Statistical analysis included measures of central tendency and dispersion (p values less than 0.05 were considered significant), and the chi-square and Student t tests were used to determine the association between variables using SPSS version 19.0 software (SPSS Inc., Chicago, IL). Genotype and allele frequencies, as well as Hardy–Weinberg equilibrium, were evaluated using Guo and Thompson’s method [14].

Results

The frequencies of genotypes and alleles obtained for each of the examined SNPs are presented in Table 2. There was a statistically significant difference (p<0.05) between the frequency of the genotypes and the expected genotypes in the population according to the Hardy–Weinberg equilibrium (Table 3). There was a statistically significant difference between the RB1-GG/rs9568036 polymorphism and tumor chemoresistance, as well as between the RB1-AA and AG/rs9568036 polymorphisms and tumor chemosensitivity (Table 4).
Table 2

Genotype and allele frequencies of the analyzed SNPs.

SNPGenotypeFrequencyp valueAlleleFrequency
rs9568036/RB1
Wild Homozygous AA
0.182
˂0.001
A
G
0.9091
0.0909
Heterozygote AG
0
Mutated Homozygote GG
0.818
rs1042522/TP53Wild Homozygous CC
0.818
˂0.001C
G0.875
0.125
Heterozygote CG
0.91
Mutated Homozygote GG0.91
Table 3

Distribution of genotypes for RB1 and TP53 genes, and Hardy–Weinberg equilibrium (HWE).

AllelesAAAaaap value
RB1 observed
10
0
1
˂0.001
RB1 expected by HWE
9.090909
1.818182
1.818182
TP53 observed
9
1
1
0.02
TP53 expected by HWE9.18752.6250.1875
Table 4

Correlation between genotype - phenotype allelic variants of rs9568036 in the RB1 gene and rs1042522 in the TP53 gene polymorphisms.

CharacteristicPolymorphism RB1-GG/rs9568036Polymorphism RB1-AA and AG/rs9568036p value RB1Polymorphism TP53-CC/rs1042522Polymorphism TP53-CG and GG/rs1042522p value TP53
Leukocoria n=11/11
15*
(range 1-42)
10* (range 8-12)
0.194
14.2* (range 1-42)
13.5* (range 8-19)
0.4645
Strabismus n=5/11
8* (range 3-14)
8*
0.3746
7.6* (range 3-14)
8.5* (range 8-9)
0.4121
Ocular hypertension n=5/11
20.75* (range 13-37)
15*
0.2315
21.3* (range 13-37)
17* (range 15-19)
0.3202
Diagnosis age
18* (range 3-42)
18*
0.4664
17.3* (range 3-42)
19* (range 18-20)
0.3726
Chemotherapy sessions
7.22
4
0.0431
6.7
8
0.244
Metastasis01N01NA

*months

*months There was no statistically significant association (p = 0.6576) between the RB1/rs9568036 polymorphism and any allelic variants with unilateral or bilateral disease presentation. There was a statistically significant relation between unilateral presentation of the disease and the polymorphism TP53-CC/rs1042522 (p = 0.0386), rate ratio (RR) = 2.0 (95% CI = 0.75–5.32), but the allelic variants TP53-CG and GG/rs1042522 had no relation with the laterality of the disease (p = 0.4611). There was a statistically significant association between the polymorphism RB1-GG/rs9568036 and men (p = 0.0386), RR = 2.0 (95% CI = 0.76–5.32), as well as between the RB1-AA and AG/rs9568036 polymorphisms and women (p = 0.0027), RR = 8.0 (95% CI = 1.28–50.04).

Discussion

The RB1 gene plays an important role in the negative control of cell cycling and tumor progression by translating the Rb protein and inhibiting cell division. In the hypophosphorylated state, the Rb protein is active and prevents the attachment of an E2 factor (E2F) transcription factor (related to DNA replication for division) [15]. Being hyperphosphorylated, the Rb protein receives kinases’ phosphate groups and is inactivated, allowing cells to move from the G1 to the S phase and proceed with division. The absence of Rb protein activity, as a result of mutations that inactivate or deregulate its phosphorylated state, causes continuous cell division and leads to a large number of human cancers and metastasis, including cellular response to mitotic inhibition–induced cell death during chemotherapy [16,17]. To have equal concentrations of DNA, the first amplification was performed with end-point PCR, after which the PCR-HRM technique was performed to analyze the polymorphisms. The PCR-HRM technique used to analyze the polymorphisms in this study has been used in different clinical applications and successful investigations even in the analysis of SNPs in different types of cancer [18]. Each double-stranded DNA fragment presents a characteristic fusion pattern, which is determined by the content, length, and position of the CGs in the DNA sequence, thus allowing the detection of minimal alterations in the sequences, making this method faster, simpler, and less expensive compared with other methods used for amplification and quantification of DNA sequences [19,20]. Liu and colleagues studied some polymorphisms of the RB1 gene and found that in response to platinum- and taxane-based chemotherapy, patients with the polymorphism rs4151510 GG had better survival rates for squamous cell lung cancer, while patients with the polymorphisms rs4151510, rs4151465, and rs9568036 had increased survival rates for non-small lung cancer cells [21]. In this study, we found that the polymorphism RB1/rs9568036 homozygous mutant GG was associated with twice the likelihood of RB in men refractory to conventional chemotherapy, while the SNP rs9568036 homozygous wild AA and heterozygous AG were associated with tumor sensitivity to chemotherapy. Carvalho et al. found that in RB the polymorphisms rs1801270 C>A and rs1059234 C>T of the CDKN1A (Gene ID: 1026, OMIM 116899) gene were associated with an increased risk of RB (odds ratio [OR] = 2.5, 95% CI = 1.38–4.53), whereas patients with the CC genotype for both polymorphisms had a lower risk of RB (OR = 0.43, 95% CI = 0.25–0.74) [22]. In this study, we found that the polymorphism RB1/rs9568036 homozygous wild AA and heterozygous AG were associated with an increased likelihood (8X) of RB in women. Kadam-Pai and colleagues studied the Tsp509I polymorphism of the RB1 gene in eight Asian populations and found an ethnic variation prevalent in Southeast Asia that confers increased susceptibility to RB [13]. In the present study of a northern Mexican population, we found that the RB1/rs9568036 polymorphism and the allelic variants RB1-GG/rs9568036, RB1-AA, and AG/rs9568036 were associated with an increased risk for RB. Furthermore, most of the somatic mutations in the TP53 gene alter the individual amino acids in p53 leading to the production of an altered version of the protein that cannot bind DNA efficiently. This defective protein can accumulate in the nucleus of cells and prevent them from suffering apoptosis in response to DNA damage. Thus, the damaged cells continue to grow and divide an unregulated manner. In the rs1042522 polymorphism of the TP53 gene, the substitution G>C exists in codon 72 and exon 4. Han and colleagues found that the GG genotype of the SNP rs1042522 of the TP53 gene showed increased resistance to first-line chemotherapy compared with those with the genotypes CG or CC (60% versus 27%, p = 0.014) in a study of 148 patients with lung cancer with non-small cell carcinomas [23]. Shabazz and colleagues found a correlation between an increased risk of breast cancer and allelic variants of the rs1042522 polymorphism in women from Bangladesh (p = 0.0053, OR = 1.69) [24]. Meanwhile, Chen et al. reported in a Chinese population that this polymorphism is associated with local tumor invasion [25]. In this study, we found a statistically significant relation between the unilateral presentation of the disease and the same SNP.

Conclusion

The rs9568036 polymorphism in the RB1 gene and its allelic variants can be associated with the type of response to medical therapy and associated with male sex, while the allelic variant rs1042522 polymorphism in the TP53 gene is associated with the unilateral presentation of the disease in a group of Mexican children with RB.
  25 in total

1.  Ethnic variations of a retinoblastoma susceptibility gene (RB1) polymorphism in eight Asian populations.

Authors:  Priya Kadam-Pai; Xin-Yi Su; Jasmin Jiji Miranda; Agustinus Soemantri; Nilmani Saha; Chew-Kiat Heng; Poh-San Lai
Journal:  J Genet       Date:  2003 Apr-Aug       Impact factor: 1.166

2.  The genome sequence is a jazz score.

Authors:  Miquel Porta
Journal:  Int J Epidemiol       Date:  2003-02       Impact factor: 7.196

Review 3.  p53 and Retinoblastoma protein (pRb): a complex network of interactions.

Authors:  N Godefroy; C Lemaire; B Mignotte; J-L Vayssière
Journal:  Apoptosis       Date:  2006-05       Impact factor: 4.677

Review 4.  High-resolution DNA melting analysis: advancements and limitations.

Authors:  Carl T Wittwer
Journal:  Hum Mutat       Date:  2009-06       Impact factor: 4.878

Review 5.  RB and cell cycle progression.

Authors:  C Giacinti; A Giordano
Journal:  Oncogene       Date:  2006-08-28       Impact factor: 9.867

6.  RB1 polymorphism contributes to the efficacy of platinum-taxanes in advanced squamous cell lung cancer.

Authors:  Di Liu; Wen Xu; Zhi-Wei Zhang; Ji Qian; Hui Zheng; Jie Zhang; Bo Su
Journal:  Asian Pac J Cancer Prev       Date:  2015

7.  Parental origin of mutations of the retinoblastoma gene.

Authors:  T P Dryja; S Mukai; R Petersen; J M Rapaport; D Walton; D W Yandell
Journal:  Nature       Date:  1989-06-15       Impact factor: 49.962

8.  Delayed diagnosis of retinoblastoma: analysis of degree, cause, and potential consequences.

Authors:  Linda J Butros; David H Abramson; Ira J Dunkel
Journal:  Pediatrics       Date:  2002-03       Impact factor: 7.124

Review 9.  Molecular genetics of RB1--the retinoblastoma gene.

Authors:  Yannek I Leiderman; Szilárd Kiss; Shizuo Mukai
Journal:  Semin Ophthalmol       Date:  2007 Oct-Dec       Impact factor: 1.975

10.  Association of p53 rs1042522, MDM2 rs2279744, and p21 rs1801270 polymorphisms with retinoblastoma risk and invasion in a Chinese population.

Authors:  Rongxin Chen; Shu Liu; Huijing Ye; Jiali Li; Yi Du; Lingyan Chen; Xiaoman Liu; Yungang Ding; Qian Li; Yuxiang Mao; Siming Ai; Ping Zhang; Wenfang Ma; Huasheng Yang
Journal:  Sci Rep       Date:  2015-08-20       Impact factor: 4.379

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