Literature DB >> 31759353

P21 Ser31Arg and FGFR2 rs2981582 Polymorphisms as Risk Factors for Early Onset of Breast Cancer in Yogyakarta, Indonesia.

Dewajani Purnomosari1, Clarista Raharjo2, Alvin Santoso Kalim2, Rahma Herviastuti2, Markus Yushan2, Rangga Athilah Fajar2, Karina Kazia Harris2, Artanto Wahyono3.   

Abstract

OBJECTIVES: Breast cancer tend to be more progressive with poorer prognosis in younger patients than those at an older age. Single Nucleotide Polymorphisms (SNPs) of P53 Pro72Arg, MDM2 SNP309, P21 Ser31Arg, ER SNP594, HER2 Ile655Val, and FGFR2 rs2981582 have drawn attention as genetic factors associated with cancer risk. However, there were contradictory results involving different races and their association is still unknown in Indonesian populations. This study was performed to examine the proportion of these six genes polymorphisms and their associations with age of onset of breast cancer patients in Yogyakarta, Indonesia.
METHODS: Biorepository DNA from 199 patients registered at Dr. Sardjito Hospital Yogyakarta from 2006-2013 were tested for polymorphisms using the PCR-RFLP method. Samples were taken from two age groups; early-onset (55 years). Chi-square tests with odds ratio were used for data analysis.
RESULTS: The mean age of the early-onset group was 36±4.2 years, while the late-onset group was 62±6.9 years. AA genotype and A allele of P21 and TT genotypes and T allele of FGFR2 were significantly more frequent and were associated with an increased risk of early-onset of breast cancer (95%CI: 2.54 and 1.59; 2.63 and 1.64, respectively).
CONCLUSIONS: Our study indicates that the A allele of P21 and the allele T of FGFR2 may be associated with an increased risk of early-onset of breast cancer in Yogyakarta, Indonesia. Further analysis is needed to confirm the findings.

Entities:  

Keywords:  Breast carcinoma; FGFR2; Single nucleotide polymorphism; age of onset; p21

Mesh:

Substances:

Year:  2019        PMID: 31759353      PMCID: PMC7063001          DOI: 10.31557/APJCP.2019.20.11.3305

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


Introduction

Globally, breast cancer (BC) ranks highest and is the most prevalent carcinoma among women in Indonesia, accounting for 48.998 new cases (30.5%) with 5 years prevalence of 171.005 (41.7%) (Ferlay, 2013). Early onset BC occurs in patients aged 40 years or younger and its incidence varies among races (Anders et al., 2009). Early onset ofBC tends to occur with hormone receptor negativity in larger and more aggressive, high grade tumors with hormone receptor negativity, and HER2 overexpression (Assi et al., 2013), with greater risk of contralateral breast cancer in 15 years (Metcalfe et al., 2011). In the United States, only 6.8% of BC patients are below 40 years (Anders et al., 2009), whereas in Asia its incidence rate could reaches 9.5-11% (Han et al., 2004). Early onset cases in Dr. Sardjito Hospital Yogyakarta between the years 2012–2015 showed incidence rates ranging from 12.8 – 19.7% (unpublished data). One of the major risk factors for early onset BC is a history of BC in the family, which involves inherited genetic mutations, in particular the major susceptibility genes BRCA1 and BRCA2. However, BRCA1 and BRCA2 have been shown to account for up to only 15% of familial early onset BC cases (Stratton and Rahman, 2008). One study in China showed that among early-onset BC without a family history of ovarian or BC, these genes were responsible for about 3% and 0%, respectively (Chen et al., 2009). The same type of study in Indonesia showed that BRCA1 and BRCA2 were responsible for 8.3% of the cases (Purnomosari et al., 2007). , accounts for only a small percentage of early-onset non-familial BC, indicating other low penetrance susceptibility genes could exist and play a role in tumorigenesis. Genetic mutations occur in about 1% of the population and the most common type of germline variations are single nucleotide polymorphisms (SNPs) (Taylor et al., 2001). While SNP usually have little effect individually, polygenic models indicate combinations of genetic mutation, may together contribute to higher risk of cancer (Pharoah et al., 2002). A number of SNPs of several genes have been associated with susceptibility to early onset of BC, such as HER2 Ile655Val (Montgomery et al., 2003), MDM2 SNP309 and p53 Arg72Pro (Sun et al., 2009), ER1 594G to A (Yu et al., 2006) and p21 Ser31Arg (Ma et al., 2006; Qiu et al., 2010). Recent genome-wide association studies have identified genetic variations that may play a role as risk factors for breast cancer in populations of diverse ethnicity (Easton et al., 2007). SNP rs2981582 which lies in intron 2 of FGFR2 gene is the most significantly associated SNP among eleven SNPs that have been linked with BC (Easton et al., 2007). Further studies also proved the role of FGFR2 rs2981582 as a susceptible gene for early onset of BC (Raskin et al., 2008; Siddiqui et al., 2014), even though like other low penetrance genetic variant studies, the results are not consistent among populations. Thus, the present study aimed to examine the genotypes of p53 Arg72Pro, MDM2 SNP309 T to G, p21 Ser31Arg, HER2 Ile655Val, ER SNP594 G to A, and FGFR2 rs2981582 and their allele frequencies in a clinical group of early onset and late onset BC patients and to test for any correlations between certain genotypes or alleles with the risk of developing early onset BC in Yogyakarta, Indonesia. Study population and sample collection This research was a hospital-based case control study that included 98 early-onset BC cases (< 40 years old at diagnosis) and 101 late-onset cases (> 55 years old) as the controls. These cases were pathologically diagnosed and recruited between the year 2006 – 2013 at the Dr. Sardjito Hospital Yogyakarta Province Indonesia. The study received approval from the Medical and Health Research Ethics Committee of Faculty of Medicine Universitas Gadjah Mada (KE/FK/779/EC and KE/FK/570/EC/2015). DNA extraction and genotyping Spectrophotometric measurement of the absorbance ratio 260/280 nm were used to determine DNA purity and concentration. Genotyping of the 6 genes was performed using Polymerase chain reaction-restriction fragment length polymorphisms (PCR-RFLP) assay. Details of selected SNPs, primer sequences used for PCR, sizes of PCR products and restriction endonuclease, (New England Biolabs, Ipswich, Massachusetts, United States) used for digestion are described (Table 1). Restriction digested fragments from all of the SNPs were analyzed with 3% agarose gel electrophoresis (except for FGFR2, 4% of agarose).
Table 1

Primers and Restriction Enzyme Used for Genotyping 6 Genes

GeneSNPrs numberprimerPCR productenzyme
p53Pro72Argrs1042522F5'- TTG CCG TCC CAA GCA ATG GAT GA -3' 199bpBstu1
R5'- TCT GGG AAG GGA CAG AAG ATG A -3'
MDM2309 T>Grs2279744F5'- GAT TTC GGA CGG CTC TCG CGG C-3' 121bpPstI
R5'- CAT CCG GAC CTC CCG CGC TG-3'
HER2Ile655Valrs1136201F5'- AGA GAG CCA GCC CTC TGA CGT CCA T- 3'148bpBsmAI
R5'- TCC GTT TCC TGC AGC AGT CTC CGC A -3'
ER1594 A>Grs2228480F5'- GAG GAG ACG GAC CAA AGC CAC -3' 227bpBtgI
R5'- GCC ATT GGT GTT GGA TGC ATG C -3'
p21Ser31Argrs1801270 F5'- ATA GTG TCT AAT CTC CGC CG -3' 245bpBlp1
R5'- AAG TCA CCC TCC AGT GGT GT -3'
FGFR2-rs2981582 F5'- CCC TTT GGA GAC AAC GTG AGC C- 3'176bpHinP1I
R5'- CAG GCA CCA GGT GGA CTC TGC-3'
Statistical analyses Data analysis used SPSS-21 software (IBM Corp., Chicago). The Hardy-Weinberg equilibrium was first applied to both case and control groups, separately for each variant before association analyses. Significance level (α) used was 5%. To calculate odds ratios (ORs), unconditional logistic regression model were used with 95% confidence interval (CI) as estimates of relative risk (RR) for the single locus alleles and genotypes. Primers and Restriction Enzyme Used for Genotyping 6 Genes Genotype and Allelic Frequencies of P53 Pro72Arg, MDM2 SNP309, P21 Ser31Arg, ER SNP594, HER2 Ile655Val, and FGFR2 rs2981582 in Breast Cancer Patients with Different Age of Onset *, p<0.05; OR, odds ratio; CI, confidence interval

Results

In this hospital-based case and control study, we analyzed 6 genes’ polymorphisms in 98 early-onset BC patients and 101 late-onset BC patients as the controls. The mean age at diagnosis for early-onset group was 36±4.2 years, while the late-onset group was 62±6.9 years. The Hardy-Weinberg equilibrium analysis showed no significant deviations between early and late-onset BC patients (p>0.05; data not shown). Genotype distribution of each evaluated gene can be found in Table 2. Four genes showed high frequency in heterozygote genotypes, i.e. Arg/Pro of p53, T/G of MDM2, A/C of p21 and C/T of FGFR2 with proportion of 48%, 55.1%, 45.9% and 45.9%, respectively. There was no different proportion between early and late onset cases. On the other hand, genotype frequencies of HER2 and ER1 were different from the other 4 genes, as the most frequent genotype for HER2 was the homozygote wildtype (Ile/Ile), while for ER1 it was the homozygote mutant (G/G).
Table 2

Genotype and Allelic Frequencies of P53 Pro72Arg, MDM2 SNP309, P21 Ser31Arg, ER SNP594, HER2 Ile655Val, and FGFR2 rs2981582 in Breast Cancer Patients with Different Age of Onset

PolymophismsGenotype/AlleleCases (<40) n=98Controls (>=55) n=101p-valueOR95% CI
HER2 Ile133ValI/I73 (74.5%)74 (73.3%)0.614refref
I/V21 (21.4%)25 (24.8%)0.8520.42-1.74
V/V4 (4.1%)2 (2.0%)2,0270.31-16.51
I167 (85.2%)173 (85.6%)0.9011,0360.57-1.87
V29 (14.8%)29 (14.3%)
ER1 594A>GA/A5 (5.1 %)5 (5%)0.52refref
A/G35 (35.7%)44 (43.6%)0.7130.38-1.33
G/G58 (59.2%)52 (51.5%)0.8970.21-3.84
A45 (23%)54 (26.7%)0.3840.8170.51-1.32
G151 (77%)148 (73.3%)
p53 Arg72ProA/A33 (33.7%)25 (24.8%)0.183refref
A/P47 (48%)50 (49.5%)0.6370.31-1.29
P/P18 (18.4%)26 (25.7%)0.4890.20-1.17
A114 (58.2%)99 (49.0%)0.0670.6910.46-1.05
P82 (41.8%)103(51.0%)
MDM2 SNP309T/T20 (20.5%)23 (22.8%)0.644refref
T/G54 (55.1%)49 (48.5%)0.7890.39-1.61
G/G24 (24.5%)29 (28.7%)1.0510.47-2.36
T94 (48.0%)95 (47.0%)0.8531.0380.7-1.54
G102 (52.0%)107 (53.0%)
p21 Ser31ArgC/C21 (21.4%)30 (29.7%)0.047*refref
C/A45(45.9%)53(52.5%)1.2130.61-2.41
A/A32(32.7%)18 (17.8%)2.541.14-5.67
C87 (44.4%)113 (56%)0.021*1.5911.07-2.36
A109 (55.6%)89 (44%)
FGFR2 rs2981582C/C26(26.5%)37 (36.6%)0.091refref
C/T45 (45.9%)48 (47.5%)1.3340.70-2.55
T/T27(27.5%)16 (15.8%)2.4011.08-5.32
C97 (49.5%)122 (60.4%)0.028*1.5561.05-2.32
T99 (50.5%)80 (39.6%)

*, p<0.05; OR, odds ratio; CI, confidence interval

Genotype C/C of P21 was mostly found in late onset compared to early onset cases (29.7% vs 21.4%), while frequency of genotype A/A was higher in early onset compared to late onset (32.7% vs 17. 8%). There were significant differences in frequency of p21 A/A and allele A found through Chi square tests in the younger group compared to older cases (p=0.047 and p=0.021, respectively). Similar circumstance was found in FGFR2 genes, where frequency of C/C genotype was higher in late onset compared to early onset (36.6% vs 26.5%), while T/T genotype was higher in early onset compared to late onset cases (27.5% vs 16.8%), but the difference was not statistically significant. Allele T was more frequently found in early onset cases compare to late onset (50.5% vs 39.6%), and the difference was statistically significant (p=0.028). Logistic regression models comparing with Ser/Ser (C/C genotype) of P21, found those with Ser/Arg (C/A) and Arg/Arg (A/A) had OR of 1.213 (95% CI: 0.612-2.405) and 2.540 (95% CI: 1.138–5.668), respectively, suggesting that Ser31Arg polymorphisms are correlated with the increased risk of early onset BC. Similarly, T/T genotype and T allele of FGFR2 rs2981582 were found to increase the risk of early onset BC with OR of 2.40 (95% CI: 1.08–5.32) and 1.56 (95% CI: 1.05–2.32) respectively.

Discussion

Poor prognosis and low survival are linked to early onset of BC and accordingly, preventive measures by recognizing the risk factors are very much needed. Genetic variations in genes that regulate crucial processes such as cell apoptosis, proliferation and DNA repair are potential candidates for breast cancer risk factors. Recent research that was conducted in many different countries shows different outcomes among different populations. In this study we evaluated 6 genes thathave been linked with susceptibility to early onset of BC, only two of them, P21 and FGFR2 were associated as risk factors in an Indonesian population. P21 Se31Arg polymorphism Results of the present study showed that AA genotype and A allele of P21 were significantly more frequently found in early onset cancer cases and had a 2.540 increased risk of early-onset BC (95% CI: 1.138–5.668). P21 (also identified as CDKN1A), which encodes p21WAF1/CIP1, a cyclin-dependent kinase inhibitor, is considered to significantly influence cell cycle control (Gartel and Radhakrishnan, 2005). One polymorphism of P21 that has received much attention is Ser31Arg (rs1801270), which substitutes A for C in the third base of codon 31 of P21 results in a serine to arginine amino acid substitution in the DNA-binding zinc finger motif of the protein (Mousses et al., 1995). Thus, it is very likely this polymorphism is also involved in cancer development (Lukas et al., 1997). Several results support the role of P21 Ser31Arg polymorphism in BC risk (Keshava et al., 2002; Ma et al., 2006), but the results are inconclusive, possibly due to small effect of the polymorphism on BC risk and the relatively small number of samples used in the studies. There have been several studies of P21 Ser31Arg polymorphism that were done to determine the risk of BC incidence. One meta-analysis study by Qiu and colleagues (Qiu et al., 2010) reported that the genotype C/C significantly increased the risk of breast cancer by 1.496 times (95% CI:1.164-1.924) for Caucasians. However, for the Asian population, there was no statistically significant increase in risk (OR 0.896; 95% CI:0.424-1.893). FGFR2 rs2981582 polymorphism FGFR2 is a member of the FGFR family that contributes to cell growth, malignancy, motility, and angiogenesis. Various meta-analysis studies have been conducted and reported that SNP FGFR2 rs2981582 TT is linked to an increased risk of BC, but until now the exact mechanism of carcinogenesis linking SNP FGFR2 rs2981582 TT to BC, especially early breast cancer onset has not been found (Zhang et al., 2010; Peng et al., 2011). In this study, frequency of C/C genotype was higher in patient with late onset compared to early onset (36.6% vs 26.5%) while T/T genotype was higher in younger cases compared to the older patients (27.5% vs 16.8%), but the result was not statistically significant. Interestingly, proportion of allele T was significantly different in early onset cases. SNP FGFR2 rs2981582 intron 2 alters the binding of two transcription factors, Oct-1 / Runx2 and C / EBpb, resulting in increased expression of the FGFR2 gene in cell lines and mammary tissue (Jia et al., 2010). This overexpression is confirmed by the study of Rebbeck (Rebbeck et al., 2009) that reported FGFR2 over expression occurs in 10-15% of breast tumors, but FGFR2 expression is lower in normal breast tissue in someone who has T allele (Sun et al., 2010). In addition, the in vitro evidence also shows that the mechanism of carcinogenesis of the SNP is more directed toward the anti-apoptosis effect than the mitogenic effects which are partly mediated through the down-regulation of FOXO protein synthesis. Amplification of the FGFR2 gene due to SNP results in an increase in intracellular screening which affects the decrease of FOXO protein. FOXO proteins are involved in apoptotic induction, DNA damage repair, ROS detoxification, and down-regulation of ER-alpha and ER-beta transcription activities. Therefore, decreased protein synthesis of FOXO will decrease apoptosis, ROS detoxification function, DNA repair, and down-regulation of ER transcription activity (Murillo-Zamora et al., 2013). All of the above findings significantly support our results that show FGFR2 gene polymorphism rs2981582 TT can be linked to increased risk of early onset BC in Yogyakarta, Indonesia. This finding is consistent with a study conducted by Fu et al., (2012) which stated that TT and T allele genotypes in FGFR2 polymorphism rs2981582 increase the risk of early-onset BC in South Chinese Han populations with ORs of 3.062 (95% CI: 1.229-7.629) and 1.606 (95% CI: 1.084-2.380), respectively. But in the study, the controls used were healthy women, as well as the age-appropriate early-onset BC limit was <35 years. There is no similar study that discusses the relationship of early onset of breast cancer and FGFR2 polymorphism in other populations, but a study by Liang (Liang et al., 2008) found that there is a strong association of TT mutant genotypes and T alleles in FGFR2 polymorphism rs2981582 as risk factors of occurrence of BC in premenopausal women. Our study indicates that the A allele of P21 and the allele T of FGFR2 may be linked to increased risk of early-onset BC in Yogyakarta, Indonesia. In order to confirm the findings, further analyses are needed. Funding statement This study received grant support from Dana Masyarakat Faculty of Medicine Universitas Gadjah Mada 2015 and 2016. Presentation statement The manuscript has been presented as poster presentation in 9th General Assembly and International Conference 2018. Asian Pacific Organization for Cancer Prevention, Jeju Island, South Korea, 19-20 April 2018
  29 in total

1.  The HER2 I655V polymorphism and risk of breast cancer in women < age 40 years.

Authors:  Karen G Montgomery; Dorota M Gertig; Simon W Baxter; Roger L Milne; Gillian S Dite; Margaret R E McCredie; Graham G Giles; Melissa C Southey; John L Hopper; Ian G Campbell
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2003-10       Impact factor: 4.254

2.  The p21 Ser31Arg polymorphism and breast cancer risk: a meta-analysis involving 51,236 subjects.

Authors:  Li-Xin Qiu; Jian Zhang; Xiao-Dong Zhu; Chun-Lei Zheng; Si Sun; Zhong-Hua Wang; Xin-Min Zhao; Jia-Lei Wang; Lei-Ping Wang; Hui Yu; Kai Xue; Xi-Chun Hu
Journal:  Breast Cancer Res Treat       Date:  2010-03-27       Impact factor: 4.872

3.  FGFR2 is a breast cancer susceptibility gene in Jewish and Arab Israeli populations.

Authors:  Leon Raskin; Mila Pinchev; Chana Arad; Flavio Lejbkowicz; Ada Tamir; Hedy S Rennert; Gad Rennert; Stephen B Gruber
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-05       Impact factor: 4.254

4.  Polymorphisms in second intron of the FGFR2 gene are associated with the risk of early-onset breast cancer in Chinese Han women.

Authors:  Fangmeng Fu; Chuan Wang; Meng Huang; Chuangui Song; Shunguo Lin; Heguang Huang
Journal:  Tohoku J Exp Med       Date:  2012-03       Impact factor: 1.848

5.  Variant genotypes of CDKN1A and CDKN1B are associated with an increased risk of breast cancer in Chinese women.

Authors:  Hongxia Ma; Guangfu Jin; Zhibin Hu; Xiangjun Zhai; Wensen Chen; Shui Wang; Xuechen Wang; Jianwei Qin; Jun Gao; Jiyong Liu; Xinru Wang; Qingyi Wei; Hongbing Shen
Journal:  Int J Cancer       Date:  2006-11-01       Impact factor: 7.396

6.  Quantitative assessment of the effect of FGFR2 gene polymorphism on the risk of breast cancer.

Authors:  Chengyou Jia; Chenyou Jia; Yu Cai; Yushui Ma; Da Fu
Journal:  Breast Cancer Res Treat       Date:  2010-04-04       Impact factor: 4.872

7.  Breast cancer risk associated with genotypic polymorphism of the genes involved in the estrogen-receptor-signaling pathway: a multigenic study on cancer susceptibility.

Authors:  Jyh-Cherng Yu; Huan-Ming Hsu; Shou-Tung Chen; Giu-Cheng Hsu; Chiun-Sheng Huang; Ming-Feng Hou; Yi-Ping Fu; Ting-Chih Cheng; Pei-Ei Wu; Chen-Yang Shen
Journal:  J Biomed Sci       Date:  2006-02-25       Impact factor: 8.410

8.  Waf-1 (p21) and p53 polymorphisms in breast cancer.

Authors:  Channa Keshava; Bonnie L Frye; Mary S Wolff; Erin C McCanlies; Ainsley Weston
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2002-01       Impact factor: 4.254

9.  WAF1/Cip1 gene polymorphism and expression in carcinomas of the breast, ovary, and endometrium.

Authors:  J Lukas; S Groshen; B Saffari; N Niu; A Reles; W H Wen; J Felix; L A Jones; F L Hall; M F Press
Journal:  Am J Pathol       Date:  1997-01       Impact factor: 4.307

10.  Two variants of the CIP1/WAF1 gene occur together and are associated with human cancer.

Authors:  S Mousses; H Ozçelik; P D Lee; D Malkin; S B Bull; I L Andrulis
Journal:  Hum Mol Genet       Date:  1995-06       Impact factor: 6.150

View more
  1 in total

1.  CDKN1A (p21 gene) polymorphisms correlates with age in esophageal cancer.

Authors:  Zehra Kaya; Burak Mugdat Karan; Necat Almalı
Journal:  Mol Biol Rep       Date:  2021-11-07       Impact factor: 2.316

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.