Skip to main content

ADIPOQ single nucleotide polymorphisms and breast cancer in northeastern Mexican women

Abstract

Background

Adiponectin gene (ADIPOQ) polymorphisms have been shown to affect adiponectin serum concentration and some have been associated with breast cancer (BC) risk. The aims of this study were to describe the frequency of single nucleotide polymorphisms (SNPs) of ADIPOQ in Mexican women with BC and to determine if they show an association with it.

Methods

DNA samples from 397 patients and 355 controls were tested for the ADIPOQ gene SNPs: rs2241766 (GT) and rs1501299 (GT) by TaqMan allelic discrimination assay. Hardy–Weinberg equilibrium (HWE) was tested. Multiple SNP inheritance models adjusted by age and body mass index (BMI) were examined for the SNP rs1501299.

Results

We found that in the frequency analysis of rs1501299 without adjusting the BMI and age, the genotype distribution had a statistically significant difference (P = 0.003). The T allele was associated with a BC risk (OR, 1.99; 95% CI 1.13–3.51, TT vs. GG; OR, 1.53; 95% CI 1.12–2.09, GT vs. GG). The SNP rs2241766 was in HW disequilibrium in controls. In conclusion, the rs1501299 polymorphism is associated with a BC risk.

Conclusions

Identification of the genotype of these polymorphisms in patients with BC can contribute to integrate the risk profile in both patients and their relatives as part of a comprehensive approach and increasingly more personalized medicine.

Peer Review reports

Background

Breast cancer (BC) is the most common cancer in adult women in the world [1]. Different risk factors have been implicated in BC initiation and progression such as overweight (OW) and obesity (OB) [2]. OB is increasingly recognized as an oncogenic factor and is associated with many metabolic disorders, such as type 2 diabetes mellitus, coronary heart disease, and hypertension, and with cancer in different tissues, such as colon, prostate, and breast [3,4,5]. Moreover, it has been shown that excess adipose tissue promotes metastasis and recurrence of BC and is associated with increased mortality.

Adipocytes produce adiponectin and leptin, two highly expressed adipokines that have opposing effects on immune cell function [6]. Adiponectin is secreted exclusively by adipose tissue and has antineoplastic, anti-inflammatory, anti-oxidant, and anti-apoptotic roles [7]. This hormone also regulates estrogen, tumor necrosis factor (TNF), and insulin growth factor (IGF) secretion [6, 8,9,10]. Adiponectin serum concentrations are decreased in obese and diabetic subjects [10]. Studies support evidence that decreased adiponectin serum concentration may explain the increased risk of BC in OB9 and that this hormone is a potential diagnostic and prognostic BC biomarker [9].

ADIPOQ polymorphisms have been shown to affect adiponectin serum concentrations, and some have been associated with BC risk [10,11,12]. Adipokines are associated with several types of obesity-related cancers [13,14,15,16,17]. Previous studies found that homozygous carriers of the T allele of SNP rs1501299 had the highest concentration of adiponectin compared to the GG or TG genotypes [10, 18]. Also, an association of the rs2241766 TG and GG genotypes with increased adiponectin serum concentration and with a decreased risk for breast cancer was reported [10]. SNPs that cause lower adiponectin serum concentrations are associated with increased cancer risk; also, adiponectin levels are inversely correlated with adiposity. Decreased adiponectin serum concentrations may explain the increased risk of breast cancer in obesity [10, 18, 19].

The objectives of this hospital case-control study were: 1. To describe the frequency of two SNPs, rs2241766 (+ 45 T > G) and rs1501299 (+ 276G > T) of ADIPOQ in a sample of Mexican women from northeastern Mexico with and without BC, and 2. To determine any association between these polymorphisms and BC risk.

Methods

Approval from the scientific and ethics committees

The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Institutional Ethics Committee of the University Hospital (registration no. BI10–002). All patients were invited to participate in the research project, an interview was performed and once the patients agreed to participate, they signed an informed consent. Afterwards, clinical and epidemiological information was collected, and blood samples were taken.

Study design and population

A hospital case-control study was carried out. Patients were selected among women receiving chemotherapy at two institutions located in Monterrey City, Mexico: the Centro Universitario Contra el Cáncer (Hospital Universitario “Dr. José E. González” (HU), of the Universidad Autónoma de Nuevo León) and the Hospital de Especialidades #25 (Instituto Mexicano del Seguro Social (IMSS)). Both are referral centers for patients affected by this neoplasm who come from five states located in Northeast Mexico (Nuevo León, San Luis Potosi, Zacatecas, Coahuila, and Tamaulipas).

Patient group

All BC patients were older than 18 years, had a confirmatory biopsy, and accepted to participate in the study and signed an informed consent. Because we are studying a low-penetrance gene (ADIPOQ), the study included only patients with sporadic breast cancer, thus, patients with a family history of BC were excluded. Pregnant women were also excluded.

Female BC patients attending the oncology clinics of the two participating hospitals who fulfilled inclusion criteria were invited by the oncologist to participate in the project. An interview was conducted to explain the protocol to the patients and subsequently, women who accepted to participate signed the consent letter. Blood samples were collected in the areas of chemotherapy and consultation. Epidemiological and clinical information was also collected. Only three patients refused to participate in the study. Most of the patients of the case group 288 (72.5%) and all the controls 355 (100%) came from the IMSS, the rest of the cases came from the HU (109/ 27.5%).

Control group

Controls were women older than 18 years of age, without a history of cancer and a BI-RADS 1–2 mammogram who signed an informed consent. Individuals with a family history of BC and pregnant women were excluded.

All control group women were recruited in the radiology areas. They attended a follow-up mammography or were referred for timely detection of cancer by mammography. If the women fulfilled the inclusion criteria, they were invited to participate by interview and after signing the informed consent, a blood sample was taken in the radiology area and epidemiological and clinical information was collected. All 397 patients and 355 controls were Mexican women whose four grandparents were born in Northeast Mexico (Nuevo León, San Luis Potosi, Zacatecas, Coahuila, and Tamaulipas).

DNA preparation

Genomic DNA was extracted from whole peripheral blood either with the QIAmp DNA Blood Kit (Cat No. 51104 Qiagen Inc., CA, USA) according to the manufacturer’s instructions, or using the TSNT method followed by phenol–chloroform extraction and ethanol precipitation [20]. DNA concentrations was measured by NanoDrop 8000 Spectrophotometer (Thermo Scientific, USA). Concentrations was adjusted to 50 ng/μl in purified nuclease-free water.

Analysis of DNA polymorphisms

Samples from patients (n = 397) and controls (n = 355) were tested for the ADIPOQ gene SNPs: rs2241766 (GT) and rs1501299 (GT). All assayed polymorphic sites were genotyped using the TaqMan allelic discrimination assay (Assay ID: C__26426077_10 for rs2241766 and C___7497299_10 for rs1501299, Applied Biosystems, USA). All polymerase chain reactions (PCRs) were done in a volume of 10 μl containing: 5 μl of TaqMan universal PCR Master Mix 2X, 2 μl of DNA (100 ng), 0.2 μl of TaqMan SNP Genotyping Assays 20X, and 2.8 μl of nuclease free water. Thermal cycling conditions were 10 min at 95 °C, and 42 cycles each of 95 °C for 15 s, and 60 °C for 1 min. The Step One Real Time System (Applied Biosystems, USA) was used for genotyping.

Statistical analysis

IBM SPSS version 24.0 was used for descriptive statistical analysis. First, participant characteristics were summarized as arithmetic means with standard deviation (SD) for continuous variables and counts and percentages for categorical variables. Second, the p-values of continuous variables were determined by unpaired t-test, for categorical variables, a chi- square test was used. Third, Hardy–Weinberg equilibrium (HWE) was tested with the public software developed by Tim M Strom and Thomas F. Wienker (http://ihg.gsf.de/cgi-bin/hw/hwa1.pl) without adjustment by age and BMI. Fourth, Multiple SNP inheritance models (codominant, dominant, recessive, overdominant and Log-additive) adjusted by age and BMI were examined to determine odds ratio (OR) and 95% confidence intervals (CI) (http://bioinfo.iconcologia.net/snpstats/start.htm). Given that this software has a limited sample size to run, a random woman was selected in cases (n = 258 of 397) and control (n = 258 of 355) groups; in order to randomly select, the EPIDAT package V4.1 was used. A p-value less than 0.05 was considered significant.

Results

Clinical and pathological characteristics

Demographic and clinical characteristics of the study population are shown in Table 1. The mean ages (±SD) were 52.4 (±12.0) and 49.5 (±10.9) for cases (n = 397) and controls (n = 355), respectively. Of the 12 characteristics analyzed, age at baseline interview, BMI, breast-feeding duration, menopausal status, and use of oral contraceptives showed statistical differences. Pathological characteristics are shown in the supplementary material.

Table 1 Comparison of 12 characteristics in case and control groups

Invasive ductal carcinoma (IDC) was the most frequent cancer type (71.8%). The most frequent clinical stage was IIIB with 17.1%. The most common site of metastasis was bone. The majority of cases had modified radical mastectomy (MRM) surgery (65.8%) and 2.5% of women had bilateral cancer at diagnosis. Supplementary Table 1.

For biopsies with available immunohistochemistry (n = 274) for estrogen and progesterone receptors and HER2-neu, the information is shown in Table 2. In 82 cases (30%), a triple negative profile was observed.

Table 2 Breast cancer tumor immunohistochemistry (n = 274)

The allele and genotype frequencies of ADIPOQ polymorphisms

The allele and genotype frequencies for the rs1501299 and rs2241766 polymorphisms are summarized in Table 3. To carry out this analysis, 258 cases and 258 controls were randomly select, without adjusted by age and BMI. No significant deviations from HWE were found for the SNP rs1501299. The SNP rs2241766 was in HW disequilibrium in control women (p = 0.005). When we performed the frequency analysis without adjusting the BMI and age, the genotype distribution exhibited a statistically significant difference between cases and controls (P = 0.003 and P = 0.0003 for rs1501299 and rs2241766, respectively) and the T allele of rs1501299 was associated with BC risk (OR 1.99; 95% CI 1.13–3.51, TT vs GG; OR 1.53; 95% CI 1.12–2.09, GT vs GG).

Table 3 Frequencies of adiponectin polymorphism in Mexican Women wihout adjusted by age and BMI

Subsequently, we performed the multiple SNP inheritance models of rs1501299 adjusted by age and BMI. With the codominant model, the genotype distribution exhibited a statistically significant difference between cases and controls (p = 8e-04) and the T allele of rs1501299 was associated with BC protection (OR 0.55; 95% CI 0.34–0.80 GT and OR 0.39; 95% CI 0.20–0.76 TT) (Table 4).

Table 4 ADIPOQ rs1501299 polymorphism using the multiple SNP inheritance models adjusted by age and BMI

The rs2241766 G allele (GT and GG genotypes) was associated with a decreased risk for BC (OR 0.20; 95% CI 0.07–0.51, GG vs TT; add the OR and 95% CI for TG). However, because rs2241766 was out of HWE, these results should be considered with caution. Because this polymorphism is not in HW equilibrium, no multiple SNP inheritance models analysis was made.

We compared our genotypic frequencies with the frequencies reported for a population of 46 Mexican individuals from the National Center for Biotechnology Information (NCBI) web page [21]. The SNP rs2241766 frequencies in the controls (0.22 G allele and 0.78 T allele) were compared with the reported frequencies for the NCBI Hispanic population (0.28 for allele G and 0.71 for allele T). A chi-square test was applied and a significant difference between both populations was found for rs2241766 (X2 = 10.70, p = 0.005 when comparing the cases and X2 = 106.28, p = 1 × 10–7 when comparing the controls). Also, rs1501299 frequencies in the controls (0.76 G allele and 0.24 T allele) were compared with the reported frequencies for the NCBI Hispanic population (0.76 for allele G and 0.24 for allele T). A chi-square test was applied, and we did not find a significant difference between both populations (X2 = 0.006, p = 0.997, X2 = 3.16, p = 0.206) respectively.

Association of BMI with ADIPOQ genotypes

We found a statistically significant BMI difference between women with breast cancer and the control group (Table 1). In order to identify if the BMI was associated with the rs1501299 and rs2241766 genotypes, we performed a univariate general lineal model. The result between cases and controls was a F vale of 6.29 (p = 0.012), for the rs2241766 (F = 1.473, p = 0.338) and the s1501299 (F = 2.417, p = 0.131). When we realized the interactions between BMI and rs1501299 (f = 0.30, p = 0.77) and rs2241766 (f = 0.18, p = 0.84), no significance association was found.

Discussion

In this study, we found an association between rs1501299 in ADIPOQ and BC risk in Mexican women with an OR of 1.53 (95% CI, 1.12–2.09) for the GT genotype and 1.99 (95% CI, 1.13–3.51) for TT vs. GG. On the other hand, when information was analyzed adjusted by BMI and age using the five models, all of them showed an OR lower than one, considering a protective association. Besides the codominant model showed the lowest significant p-value (8e-04) and an AIC value of 684.27 with an OR of 0.55 (95% CI 0.34–0.80) for GT genotype, and an OR of 0.39 (95% CI 0.20–0.76) for TT vs GG.

In 2013, Kaklamani et al. found that rs1501299 was associated with BC risk not only in Caucasian population, but also in African American women [11]. Kaklamani associated the genotypes GG and TG with risk of breast cancer and reported that the TT genotype increases circulating adiponectin serum concentrations; this could explain the protective effect of genotype TT observed in our study [11]. Another study reported that variation in the ADIPOQ gene has effects on other types of cancer. They found that the T variation may have a protective effect in the development of endometrial cancer [22]. There is another study with opposite results that report that the GG genotype was associated with a higher adiponectin serum concentration in Kuwait [18]. Gui et al. found no association between genotypes of rs1501299 and adiponectin [23]. Also, there are reports that show an inverse association between adiponectin concentrations within breast tumors and tumor stage [24]. To date, reports of the association of rs1501299 genotypes with serum adiponectin levels are contradictory. Al Khaldi et al. reported that the T allele and TT genotype of rs1501266 reduce adiponectin levels in serum [18].

Another study reports no association between ADIPOQ SNPs and BC in American white women [25]. Genotypes TG and GG of SNP rs2241766 have also been associated with a decreased risk for BC when compared to the TT genotype, the rs2241766 variation with the G allele and the TG and TG + GG genotypes may have a protective effect in ductal infiltrating breast cancer in Mexican women [26].

In our study, the rs2241766 polymorphism was in HW disequilibrium in controls, so it is not possible to confidently associate it with breast cancer risk. The allelic discrimination plots obtained in the real time PCR were clean and we did not find differences between duplicates.

Some authors have also reported HW disequilibrium in different populations for the rs2241766 polymorphism [24]. The main causes of HW disequilibrium in controls were selection bias or a competing risk of death associated with the mutant gene [25].

We performed a general lineal model to identify if the BMI was associated with the polymorphism. We were able to identify that the polymorphism is associated with breast cancer risk, but not the BMI.

In our study, the controls did not come from the general population but from the radiology area, which may have contributed to selection bias and may partly explain the genotypic imbalance in the case of rs2241766. Another disadvantage of this study is that we were unable to analyze serum ADIPOQ levels due to variability in pre-analytical processes.

Further studies are needed to examine the association of adiponectin serum concentrations with the different gene polymorphisms [10, 19], particularly in Mexican populations.

We estimated associations between SNPs in ADIPOQ and BC risk in a hospital case-control study of Mexican women. To our knowledge, our study is the largest in Mexican population (397 cases and 355 controls) evaluating ADIPOQ SNPs in BC risk.

The Mexican population is Mestizo, and it is important to characterize the distribution of BC risk polymorphisms. Detection of SNP rs1501299 in the Mexican population may play an important role as a BC risk biomarker. Other reports in Mexican women found a positive relation with SNP rs1501299, and the response to chemotherapeutic treatment in patients with BC [19].

Mexico is a developing country where the use of genetic tests is not routine and SNP detection will be useful to support potential benefits of personalized medicine for Mexican population.

Conclusions

In conclusion, we confirmed that rs1501299 polymorphism is associated with BC risk in a large series of Mexican women. The identification of the genotype of these polymorphisms in patients with breast cancer can contribute to integrate the risk profile in both patients and their relatives as part of a comprehensive approach and an increasingly more personalized medicine.

Availability of data and materials

All data generated or analyzed during this study are included in this manuscript.

The sequences of the SNP were obtained from the NCBI GenBank database (https://www.ncbi.nlm.nih.gov/genbank/). The reference genome was GRCh38.p12 and the accession numbers for SNP are: NG_021140.1:g.15430 T > G for rs2241766, and NG_021140.1:g.15661G > T for rs1501299.

Abbreviations

ADIPOQ:

Adiponectin gene

BC:

Breast cancer

SNPs:

Single nucleotide polymorphisms

HWE:

Hardy-Weinberg equilibrium

BMI:

Body mass index

OW:

Overweight

OB:

Obesity

TNF:

Tumor necrosis factor

IGF:

Insulin growth factor

IMSS:

Instituto Mexicano del Seguro Social

SDs:

Standard deviations

ORs:

Odds ratios

CI:

Confidence intervals

IDC:

Invasive ductal carcinoma

MRM:

Modified radical mastectomy

NCBI:

National Center of Biotechnology Information

References

  1. 1.

    GLOBOCAN. Estimated cancer incidence, mortality and prevalence worldwide in 2012. Globocan (2012). Available at: http://globocan.iarc.fr/Pages/fact_sheets_population.aspx.

  2. 2.

    Nattenmüller CJ, et al. Obesity as risk factor for subtypes of breast cancer: results from a prospective cohort study. BMC Cancer. 2018;18:1–8.

    Google Scholar 

  3. 3.

    Klein S, Wadden T, Sugerman HJ. AGA technical review on obesity. Gastroenterology. 2002;123:882–932.

    PubMed  Google Scholar 

  4. 4.

    Sorisky A. Molecular links between obesity and cardiovascular disease. Am J Ther. 2002;9:516–21.

    PubMed  Google Scholar 

  5. 5.

    Wolk A, et al. A prospective study of obesity and cancer risk (Sweden). Cancer Causes Control. 2001;12:13–21.

    CAS  PubMed  Google Scholar 

  6. 6.

    Deng T, Lyon CJ, Bergin S, Caligiuri MA, Hsueh WA. Obesity, inflammation, and Cancer. Annual Rev Pathol. 2016;11.

  7. 7.

    Woodward L, Akoumianakis I, Antoniades C. Unravelling the adiponectin paradox: novel roles of adiponectin in the regulation of cardiovascular disease. Br J Pharmacol. 2017;174:4007–20.

    CAS  PubMed  Google Scholar 

  8. 8.

    Ouchi N, Kihara S, Arita Y, Maeda K, Kuriyama H, Okamoto Y, Hotta K, Nishida M, Takahashi M, Nakamura T, Yamashita S, Funahashi T, Matsuzawa Y. Novel modulatior for endothelial adhesion molecules: adipocyte-derived plasma protein adiponectin. Circulation. 1999;100:2473–6.

    CAS  PubMed  Google Scholar 

  9. 9.

    Dalamaga M. Obesity, insulin resistance, adipocytokines and breast cancer: new biomarkers and attractive therapeutic targets. World J Exp Med. 2013;3:0.

    Google Scholar 

  10. 10.

    Kaklamani VG, et al. Variants of the adiponectin and adiponectin receptor 1 genes and breast cancer risk. Cancer Res. 2008;68:3178–84.

    CAS  PubMed  PubMed Central  Google Scholar 

  11. 11.

    Kaklamani VG, et al. Adiponectin pathway polymorphisms and risk of breast cancer in Africa Americans and Hispanics in the Womens health initiative. Breast Cancer Res Treat. 2013;139:461–8.

    CAS  PubMed  PubMed Central  Google Scholar 

  12. 12.

    Dalamaga M, Diakopoulos KN, Mantzoros CS. The role of adiponectin in cancer: a review of current evidence. Endocr Rev. 2012;33:547–94.

    CAS  PubMed  PubMed Central  Google Scholar 

  13. 13.

    Dahran N, Szewczyk-Bieda M, Vinnicombe S, Fleming S, Nabi G. Periprostatic fat adipokine expression is correlated with prostate cancer aggressiveness in men undergoing radical prostatectomy for clinically localized disease. BJU Int. 2018;123:985–94.

    Google Scholar 

  14. 14.

    Morris EV, Edwards CM. Adipokines, adiposity, and bone marrow adipocytes: dangerous accomplices in multiple myeloma. J Cell Physiol. 2018;233:9159–66.

    CAS  PubMed  Google Scholar 

  15. 15.

    Zhu H, et al. Circulating and adipose tissue mRNA levels of zinc-α2-glycoprotein, leptin, high-molecular-weight adiponectin, and tumor necrosis factor-alpha in colorectal cancer patients with or without obesity. Front Endocrinol (Lausanne). 2018;9.

  16. 16.

    Lee CH, et al. Obesity, adipokines and cancer: an update. Clin Endocrinol. 2015;83(147–156).

  17. 17.

    Booth A, Magnuson A, Fouts J, Foster M. Adipose tissue, obesity and adipokines: role in cancer promotion. Horm Mol Biol Clin Investig. 2015;21:57–74.

    CAS  PubMed  Google Scholar 

  18. 18.

    Mazen R, Khaldi A, Al F, Kapila K. Associations of single nucleotide polymorphisms in the adiponectin gene with adiponectin levels and cardio-metabolic risk factors in patients with cancer. Dis Markers. 2011;30:197–212.

    Google Scholar 

  19. 19.

    Méndez-Hernández A, Gallegos-Arreola MP, Moreno-Macías H, Espinosa Fematt J, Pérez-Morales R. LEP rs7799039, LEPR rs1137101, and ADIPOQ rs2241766 and 1501299 polymorphisms are associated with obesity and chemotherapy response in Mexican women with breast Cancer. Clin Breast Cancer. 2017;17:453–62.

    PubMed  Google Scholar 

  20. 20.

    Ausubel FM. Short protocols in molecular biology : A compendium of methods from current protocols in molecular biology. 2nd ed. (green pub. Associates). Brooklyn: Wiley; 1992.

    Google Scholar 

  21. 21.

    National Center for Biotechnology Information (NCBI). 1000 Genomes Browser. Available from: [https://www.ncbi.nlm.nih.gov/variation/tools/1000genomes/]. Accessed 6 Apr 2020.

  22. 22.

    Bieńkiewicz J, Smolarz B, Malinowski A. Association between single nucleotide polymorphism +276G > T (rs1501299) in ADIPOQ and endometrial Cancer. Pathol Oncol Res. 2016;22:135–8.

    PubMed  Google Scholar 

  23. 23.

    Gui MH, et al. Association of the adiponectin gene rs1501299 G>T variant, serum adiponectin levels, and the risk of coronary artery disease in a Chinese population. Diabetes Res Clin Pract. 2012;97:499–504.

    CAS  PubMed  Google Scholar 

  24. 24.

    Li Q, et al. Five common haplotype-tagging variants of adiponectin (ADIPOQ) and cancer susceptibility: a meta-analysis. Genet Test Mol Biomarkers. 2014;18:417–24.

    CAS  PubMed  PubMed Central  Google Scholar 

  25. 25.

    Llorca J, Prieto-Salceda D, Combarros O, Dierssen-Sotos T, Berciano J. Competing risks of death and hardy-Weinberg equilibrium in case-control studies of gene-disease association. Gac Sanit. 2005;19:321–4.

    PubMed  Google Scholar 

  26. 26.

    Macías-Gómez NM, et al. ADIPOQ rs2241766 SNP as protective marker against DIBC development in Mexican population. PLoS One. 2019;14:1–10.

    Google Scholar 

Download references

Acknowledgments

We are grateful for the support provided by the Conacyt National Biobank Laboratory. The authors thank the patients for their valuable participation in this study. Special thanks to the authorities of the participating hospitals: The Hospital Universitario “Dr. José Eleuterio González” from The Universidad Autónoma de Nuevo León, and to the “Hospital de Especialidades No. 25” and “Hospital General de Zona No. 17” from the Instituto Mexicano del Seguro Social for their cooperation. The authors gratefully acknowledge the critical reading of the manuscript by Sergio Lozano-Rodríguez, MD.

We thank the University of Texas Rio Grande Valley (UTRGV) for accepting this work for its presentation at the Research Symposium 2019 of the School of Medicine. The abstract has been published in the symposium program on https://issuu.com/utrgv/docs/2019-symposium-program.

Funding

The present work has been supported by grants from the Universidad Autonoma de Nuevo Leon, UANL (PAICYT-CS816–11 and PAICYT-SA814–19) awarded to MLGR.

Author information

Affiliations

Authors

Contributions

MLGR, JFGG, and OVG designed the study and obtained funding for this study. GGO, RGG, MAPC, ALCA, JFGG, OVG, and MLGR recruited patients for the study. KPCC, MPVV, JCAB, RGG, MAPC, and HFRG carried out the DNA extractions and sample storage in the biobank. HFRG, RMCF, and MLGR designed the sample database, and performed the statistical analysis. KPCC, GGO, IPRS, JCAB and MPVV performed the q-PCR and PCR assays. MLGR, HFRG, OVG, JFGG, HABS, ALCA, and RMCF performed interpretation of data analysis. MLGR, RMCF, HABS, OVG, JFGG, and KPCC drafted the manuscript. All authors substantively read/revised/corrected, and approved the final manuscript.

Corresponding author

Correspondence to María Lourdes Garza-Rodríguez.

Ethics declarations

Ethics approval and consent to participate

All individual participants voluntarily joined this study and provided written informed consent. Ethical approval for this investigation was obtained from the Institutional Ethics Committee of the Hospital Universitario “Dr. José Eleuterio González” (registration number: BI10–002).

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Additional file 1 Table S1

. Clinical-pathological characteristics in the case group.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Cerda-Flores, R.M., Camarillo-Cárdenas, K.P., Gutiérrez-Orozco, G. et al. ADIPOQ single nucleotide polymorphisms and breast cancer in northeastern Mexican women. BMC Med Genet 21, 187 (2020). https://doi.org/10.1186/s12881-020-01125-8

Download citation

Keywords

  • Breast cancer
  • Single nucleotide polymorphisms
  • Adiponectin
  • ADIPOQ
  • Mexican women