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Egyptian Journal of Medical Human Genetics
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STAT3 gene polymorphisms and susceptibility to breast cancer in the Moroccan population

Egyptian Journal of Medical Human Genetics volume 24, Article number: 85 (2023) Cite this article

Abstract

Background

Breast cancer is a complex disease due to its extremely complicated and varied etiology. It is found to be linked to improper transcription factor activation that interferes with normal breast development. Among these factors, signal transducer and activator of transcription (STAT) proteins play a crucial role in regulating gene expression and cell signaling. Specifically, STAT3, a member of the STAT family, has been found to be constitutively active in various cancer types, including breast cancer. Three STAT3 SNPs (rs744166, rs229152, and rs4796793) were widely investigated in association with cancer diseases in many populations, yet the findings were conflicting. This study seeks to evaluate the association risk of these three SNPs with breast cancer in Moroccan women.

Materials and methods

This case–control study consisted of 200 breast cancer cases and 200 age- and sex-matched healthy controls. The extraction was carried out from whole blood by the salting-out method. Genotypes were defined using polymerase chain reaction–restriction fragment length polymorphism (PCR–RFLP) and sequence-specific primer–polymerase chain reaction (SSP–PCR) methods.

Results

In the over-dominant model (GG–CC vs. GC), the rs4796793*GC genotype was linked to a higher risk of breast cancer among triple-negative cases. Additionally, a significant association has been revealed between HER2 and the mutant genotype of the two polymorphisms rs744166 and rs4796793. Moreover, the STAT3 rs744166*AG genotype was less common in cases with late-stage (grade III) disease.

Conclusion

These findings suggest that STAT3 polymorphisms are associated with triple-negative breast cancer and HER2+ type; the top two lethal breast cancer in Moroccans.

Introduction

Breast cancer is one of the most common forms of cancer among women globally. In 2020, there were roughly 2.3 million new cases of breast cancer reported worldwide which accounted for around 24.5% of all new cancer cases diagnosed in women [1]. In Morocco, breast cancer is a major public health concern, being the most commonly diagnosed cancer among women in the country. According to the WHO, it represents almost 40% of all cancers diagnosed in women in 2020 [1].

Breast cancer is a complex pathology characterized by multifactorial mechanisms, including genetic predisposition and environmental factors. Growing evidence suggests that the immune system plays a critical role in cancer susceptibility and development. Previous studies have shown that genetic variations in genes involved in regulating immunity, such as STAT3, may play a significant role in breast cancer susceptibility [2, 3].

Signal transducer and activator of transcription 3 (STAT3) is a transcription factor encoded by the STAT3 gene [4]. STAT3 activity regulates a plethora of genes implicated in numerous normal cellular processes including proliferation, differentiation, cell proliferation, apoptosis, inflammation, and immune responses [5]. STAT3 plays a fundamental role in normal mammary gland development and is also implicated in mammary oncogenesis [6, 7].

Aberrant STAT3 activation has been strongly associated with tumor progression by regulating gene expression involved in angiogenesis and invasion [5]. This anomalous activation of STAT3 has been shown to be present in a variety of human malignant tumors, including breast cancer [8]. This transcription factor regulates the expression of many genes, which promote tumor progression. These include the genes that encode Bcl-xL, cyclin D1 and D2, c-MYC, and MCL1, eventually leading to cellular transformation by increasing proliferation and slowing-down apoptosis [9]. Recent genetic studies have demonstrated that genetic variants in the STAT3 gene influence numerous human malignancies' susceptibility, development, and therapy outcomes [10,11,12,13].

STAT3 was discovered in 1994 for the first time as a DNA-binding protein in response to interleukin-6 and epidermal growth factor [14]. To date, there are seven members of this protein family: STAT1, 2, 3, 4, 5A, 5B, and 6 [8]. Most immune regulatory systems including tumor cell identification and escapement are mediated by the Janus kinase-signal transducer and activator of transcription (JAK-STAT) signaling pathway [15]. Janus kinases (JAKs) are activated by cytokines including interleukin-6 (IL-6) and interleukin-10 (IL-10), hormones, and growth factors as well as oncogenic proteins, such as Src [16] and Ras [17]. Upon activation, JAKs phosphorylate STAT3, which forms homodimers and translocate to the nucleus to activate the transcription of specific genes that drive cancer progression [18, 19]. Recent clinical and preclinical data indicate the involvement of overexpressed and constitutively activated STAT3 in the progression, proliferation, metastasis, and chemoresistance of breast cancer [20]. It has been proven that STAT3, in particular, performs a crucial function in the pathological process of human breast cancer as well as normal mammary gland development [6, 7]. STAT3 is implicated in the post-lactational regression and apoptosis of the mammary gland [7]. STAT3 has been mentioned in several studies to be associated with oncogenesis via several mechanisms, including apoptosis inhibition, cell proliferation promotion, angiogenesis induction, and immune response suppression [21].

Three STAT3 polymorphisms were investigated in the current study, including rs744166 (in intron 2), rs229152 (in intron 11), and rs4796793 (in the promoter). The three polymorphisms have been studied previously in relation to several neoplasms; however, the findings were conflicting [22].

The aim of the present study was to investigate the association of these three STAT3 polymorphisms with breast cancer risk in Moroccan women.

Materials and methods

Study population

Four hundred unrelated Moroccan women were enrolled in this case–control study (200 breast cancer cases and 200 age- and sex-matched healthy controls). Patients have been recruited during two years from 2017 to 2019. All cases were confirmed histopathologically and were receiving medical treatment at the Regional Center of Oncology and Radiotherapy; Hospital Hassan II, Agadir. Blood donor women with no personal or family cancer history were also recruited as the control group. Cases with unclear diagnostic and controls with personal or familial breast cancer history were excluded from the study. We extracted all patients' information including age, sex, and menopausal status from clinical records. Tumor description including SBR grading, ER receptor, HER2 receptor, tumor histology, PR receptor, and IHC subtypes were also assessed in this study. All subjects gave informed consent before participating in the study. The study was conducted in accordance with the Helsinki Declaration, and the protocol was approved by the Ethics Committee of Cadi Ayyad University Hospital Center (CHU) Mohammed VI, Marrakech, Morocco.

Genotyping

Samples were collected from venous blood in an EDTA tube, and the common salting-out method described by Miller et al. was used to isolate genomic DNA [23].

The genotyping of rs744166 and rs229152 polymorphisms was carried out using the polymerase chain reaction–restriction fragment length polymorphism (PCR–RFLP) method. The amplified PCR products were processed with restriction enzyme overnight (rs744166 by HindIII and rs229152 by HpaII), and then, the products were analyzed by electrophoresis in 2–4% agarose gel.

Genotyping for rs4796793 was performed using polymerase chain reaction with sequence-specific primer–polymerase chain reaction (SSP–PCR) method as described by Wang et al. [24]. A fragment of 502 bp results from a first PCR performed using forward (F) and common reverse (R) primers. The second one was done using the common reverse (R) and specific forward C (F1) primers for the wild-type allele and the common reverse (R) and specific forward G (F2) primers for the amplification of the mutant allele. The two alleles’ fragments result in a fragment of approximately 316 bp. Table 1 provides further details about these assays.

Table 1 Primers and PCR conditions used for the three studied SNPs
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Approximately 10% of all samples were genotyped in duplicate to verify results.

Statistical analysis

To assess whether the distributions of STAT3 genotypes were in Hardy–Weinberg equilibrium, we used SNPStats software [27]. IBM SPSS Statistics (version 25.0) [28] was used to evaluate genotypic and allelic frequencies. The association between STAT3 genetic variants and breast cancer risk was also assessed using SPSS software using odds ratios (ORs) with 95% confidence intervals adjusted for age and menopausal status. The link between STAT3 polymorphisms’ haplotypic frequencies and the risk of breast cancer was estimated by SNPStats software. Both SNPstats and SPSS software were used to assess the association between each STAT3 genetic variant and clinical characteristics. Linkage disequilibrium (LD) was assessed by Haploview software (version 4.2) [29].

Results

Detailed information for the three SNPs is abstracted in Table 2, including gene location, minor allele frequency (MAF), functional annotations, and HWE p-value. Hardy–Weinberg equilibrium (HWE) was performed within the control and case groups (Table 2). Both the cases’ and controls' genotypic frequencies were within the HWE (p > 0.05).

Table 2 Description of the three SNPs
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Detailing clinicopathological characteristics of breast cancer patients are presented in Table 3 [30].

Table 3 Clinicopathological characteristics of BC cases
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Figure 1 depicts an ethidium bromide-stained agarose gel illustrating the three SNPs. Images (A), (C), and (B), respectively, show PCR–RFLP results for the STAT3 polymorphism rs744166 and rs2293152 and SSP–PCR results for the STAT3 polymorphism rs476793.

Fig. 1
figure 1

Ethidium bromide-stained agarose gel showing the three SNPs

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The genotype and allele frequencies of each SNP are listed in Table 4. The minor allele frequencies of rs744166, rs2293152, and rs4796793 were about 51%, 32%, and 32% in breast cancer cases and 51%, 37%, and 34% in controls, respectively. According to statistical analysis, adjusted for age and menopausal status, there was no statistically significant association between the risk of breast cancer and the STAT3 variants (Table 4).

Table 4 STAT3 polymorphisms' genotype and allele frequencies in breast cancer cases and healthy controls
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However, the results suggest a potential link, evaluated as an OR adjusted for menopausal status and age, between STAT3 polymorphisms (rs4796793 and rs744166) and clinical characteristics of breast cancer (Table 5). However, statistical findings show no significant link between rs2293152 with clinical characteristics. The rs744166*GG genotype was found to be more common in HER2-positive cases (OR 2.97 (1.08–8.13); P = 0.0323), while the rs744166*AG genotype was associated with breast cancer among grade 3 cases (OR 2.23 (1.05–4.71); P = 0.0373). Additionally, the rs4796793*CC genotype was associated with breast cancer within HER2-positive cases (OR 0.30 (0.09–0.95); P = 0.0281). In the over-dominant model (GG–CC vs GC), the genotype rs4796793*GC showed an association with breast cancer within triple-negative cases (OR 2.43 (1.01–5.82) p = 0.0397).

Table 5 Correlation of STAT3 polymorphisms with clinical characteristics of cases with breast cancer
Full size table

The haplotype ACG was the most prevalent (frequency 0.2716), followed by the GGC haplotype (0.2452). Moreover, Table 6 shows the generated haplotypes and their association with breast cancer risk. According to the results, null association was observed between the generated haplotypes and breast cancer risk.

Table 6 Haplotype constructions of STAT3 polymorphisms
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Based on the LD calculation among the three SNPs, no LD between these polymorphisms was found (Fig. 2).

Fig. 2
figure 2

Linkage disequilibrium plot of three SNPs within STAT3. Lewontin's coefficient (D′) and Pearson's (r) statistics were used to calculate LD

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Discussion

STAT3 gene is located on chromosome 17q21.2 [31]. STAT3 protein is a member of a family of seven transcription factors that are a component of the JAK-STAT signaling pathway which underlies the signal transduction mechanism of many cytokine receptors [32]. STAT3 can upregulate the transcription of genes implicated in immunological and anti-apoptotic processes, as well as genes involved in cell survival and proliferation [33]. STAT3 is one of the STAT protein family's seven members and is highly activated in many cancers, including breast cancer, prostate hepatocellular carcinoma, lymphoma, non-small cell lung cancer, and multiple myeloma [34].

This transcription factor has dual crucial roles as signal transduction proteins from extracellular stimuli frequently activated in cancer cells and as nuclear transcription factors that regulate the expression of a diverse set of genes, contributing to cancer progression [35, 36]. Among the seven STAT members, STAT3 is the most important one for cancer progression [9, 37]. Although the main role of STAT3 in normal mammary gland development has been studied as an inducer of apoptosis and cell elimination during involution, abnormal STAT3 activation may also contribute to breast cancer formation and progression. Studies have revealed that STAT3 is constitutively activated at a percentage that varies between 35 and 60% in human breast cancers and is associated with an increased risk of metastasis, high tumor grade, and high risk of recurrence [38,39,40]. STAT3 is a polymorphic gene, and numerous researches have studied how STAT3 single-nucleotide polymorphisms (SNPs) affect various populations' risk of developing cancer [22]. It has been proposed that STAT3 SNPs may affect STAT3 activation and expression after stimulation and increase the chances of developing inflammatory and malignant disorders [22].

According to the present study, the presence of rs4796793*GC genotype under the over-dominant model (GG–CC vs GC) was associated with an increased risk of breast cancer within triple-negative cases (OR 2.43 (1.01–5.82); p = 0.044). In our dataset, triple-negative breast cancer cases account for 16.66% of all subtypes [30]. Triple-negative breast cancer affects young women, and it represents around 15% of all breast cancer cases across populations and is more prevalent in women of African and Hispanic ancestry [41]. In another Moroccan study, the triple-negative breast cancer rate was 16.67%, which is consistent with our dataset [42]. But an epidemiological Moroccan study reported a rate of 20.26% for triple-negative breast cancer among 1559 cases [43]. Although STAT3 is upregulated in all subtypes of breast cancer, it is more frequently linked to triple-negative tumors, in which HER2 is not overexpressed and does not express estrogen (ER) or progesterone receptors (PR) [44]. Indeed, STAT3 rs4796793 polymorphisms could be used as a possible marker for detecting malignant triple-negative breast cancer [45]. Additionally, a study using an in silico method discovered that the STAT3 protein was found to be excessively expressed in triple-negative breast cancer and negatively correlated with lymph node implication and breast cancer clinical stage [3]. Triple negatives are more likely to have MYC and STAT3 abnormal expressions. These two molecules enhance tumor anti-apoptotic activity, metastasis, vascularity, and histological grade [46]. Our findings also showed an association between the mutant genotype of the two STAT3 polymorphisms rs744166 and rs4796793 and HER2. In our study, 29.11% of all subtypes are HER2-positive cases. However, its frequency matched the positive frequency of HER2, which ranges between 25 and 30% across several investigations [40, 47, 48]. According to a Moroccan study, the HER2 protein is overexpressed in 29.17% of tumors in breast cancer cases [43]. Both triple-negative breast cancer and HER2+ have been regarded as the top two lethal subtypes of breast cancer due to their poor prognostic features [49]. Additionally, our findings are the first to suggest that the STAT3 rs744166*AG genotype was less occurred in cases with late-stage (grade III) cancer. The three STAT3 polymorphisms' allele and genotype frequencies were not significantly associated with the menopausal state, tumor histology, estrogen receptor, or progesterone receptor.

Three STAT3 polymorphisms—rs744166, rs2293152, and rs4796793—were investigated in this study. The three polymorphisms have been previously investigated with regard to different cancers, but the results were inconsistent [12, 50,51,52]. Our results show no statistically significant link between any of the three variants and breast cancer in Moroccan women. Similar findings were reached in other studies, for instance, a case–control study of German breast cancer cases, which revealed no statistically significant link between rs2293152 and breast cancer [12]. Regarding other cancer types, two studies found no statistically significant link between rs2293152 polymorphism and gastric [52] or lung cancer [50]. Contrary, Yan et al. found that the STAT3 rs744166 polymorphisms reduced significantly the incidence of cancers [22]. STAT3 rs4796793 was associated with increased susceptibility to lung cancer [53] and decreased risk of breast cancer [13]. Furthermore, the STAT3 rs2293152 polymorphism has been linked to a higher risk of basal cell carcinoma [54].

This study reported the association of STAT3 polymorphisms with triple-negative breast cancer and HER2+, and this finding could help to better understand the molecular mechanisms underlying breast cancer in the Moroccan population and to identify people at high risk of developing this disease. Further studies are needed to understand the etiology of breast cancer and to detect the involvement of immunity genes in breast cancer outcome and prognostics for more appropriate medical treatment and long-term survival.

Conclusion

In summary, triple-negative cases with the rs4796793*GC genotype (GG–CC vs GC) are at an elevated risk of developing breast cancer. Our research also revealed an association between HER2 and the mutant genotype of the two STAT3 polymorphisms, rs744166 and rs4796793. Furthermore, the STAT3 rs744166*AG genotype was found to be less common in cases with late-stage (grade III) disease.

Availability of data and materials

The datasets supporting the results are included within the article. The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available because of privacy or ethical restrictions.

Abbreviations

Bcl-xL:

B-cell lymphoma-extra large

CI:

Confidence interval

DNA:

Deoxyribonucleic acid

EDTA:

Ethylenediaminetetraacetic acid

EM:

Expectation maximization

ER:

Estrogen receptors

JAK:

Janus kinase

HER2:

Human epidermal growth factor 2

HWE:

Hardy–Weinberg equilibrium

IHC:

Immuno-histochemical subtypes

LD:

Linkage disequilibrium

MAF:

Minor allele frequency

MCL1:

Myeloid cell leukemia sequence 1

OR:

Odds ratio

PCR:

Polymerase chain reaction

PCR–RFLP:

Polymerase chain reaction–restriction fragment length polymorphism

PR:

Progesterone receptors

SBR:

Scarff–Bloom–Richardson

SNP:

Single-nucleotide polymorphism

SSP–PCR:

Sequence-specific primer–polymerase chain reaction

STAT:

Signal transducer and activator of transcription

References

  1. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A et al (2021) Global Cancer Statistics 2020: GLOBOCAN estimates of Incidence and Mortality Worldwide for 36 cancers in 185 countries. CA Cancer J Clin 71(3):209–249. https://doi.org/10.3322/caac.21660

    Article  PubMed  Google Scholar 

  2. Tolomeo M, Cascio A (2021) The multifaced role of STAT3 in cancer and its implication for anticancer therapy. Int J Mol Sci 22(2):603

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Lei J, Rudolph A, Moysich KB, Behrens S, Goode EL, Bolla MK et al (2016) Genetic variation in the immunosuppression pathway genes and breast cancer susceptibility: a pooled analysis of 42,510 cases and 40,577 controls from the Breast Cancer Association Consortium. Hum Genet 135(1):137

    Article  CAS  PubMed  Google Scholar 

  4. Zhao M, Jiang B, Gao FH (2011) Small molecule inhibitors of STAT3 for cancer therapy. Curr Med Chem 18(26):4012–4018

    Article  CAS  PubMed  Google Scholar 

  5. Lee H, Jeong AJ, Ye SK (2019) Highlighted STAT3 as a potential drug target for cancer therapy. BMB Rep 52:415–23. https://doi.org/10.5483/BMBRep.2019.52.7.152

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Clevenger CV (2004) Roles and regulation of stat family transcription factors in human breast cancer. Am J Pathol 165(5):1449

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Watson CJ (2001) Stat transcription factors in mammary gland development and tumorigenesis. J Mammary Gland Biol Neoplas 6(1):115–127

    Article  CAS  Google Scholar 

  8. Guanizo AC, Fernando CD, Garama DJ, Gough DJ (2018) STAT3: a multifaceted oncoprotein. Growth Factors 36:1–14. https://doi.org/10.1080/08977194.2018.1473393

    Article  CAS  PubMed  Google Scholar 

  9. Yu H, Jove R (2004) The stats of cancer—new molecular targets come of age. Nat Rev Cancer 4:97–105

    Article  CAS  PubMed  Google Scholar 

  10. Kreil S, Waghorn K, Ernst T, Chase A, White H, Hehlmann R et al (2010) A polymorphism associated with STAT3 expression and response of chronic myeloid leukemia to interferon α. Haematologica 95(1):148–152

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Peng Y, Zhou B, Wang Y, Chen Y, Li H, Song Y et al (2012) Association between polymorphisms in the signal transducer and activator of transcription and dilated cardiomyopathy in the Chinese Han population. Mol Cell Biochem 360(1–2):197–203

    Article  CAS  PubMed  Google Scholar 

  12. Vaclavicek A, Bermejo JL, Schmutzler RK, Sutter C, Wappenschmidt B, Meindl A et al (2007) Polymorphisms in the Janus kinase 2 (JAK)/signal transducer and activator of transcription (STAT) genes: Putative association of the STAT gene region with familial breast cancer. Endocr Relat Cancer 14(2):267–277

    Article  CAS  PubMed  Google Scholar 

  13. Zhao H, Wang Z, Wu H, Xiao Q, Yao W, Wang E et al (2015) STAT3 genetic variant, alone and in combination with STAT5b polymorphism, contributes to breast cancer risk and clinical outcomes. Med Oncol 32(1):66

    Article  Google Scholar 

  14. Zhong Z, Wen Z, Darnell JE (1994) Stat3: a STAT family member activated by tyrosine phosphorylation in response to epidermal growth factor and interleukin-6. Science 264(5155):95–8

    Article  CAS  PubMed  Google Scholar 

  15. Owen KL, Brockwell NK, Parker BS (2019) JAK-STAT signaling: a double-edged sword of immune regulation and cancer progression. Cancers 11(12):66

    Article  Google Scholar 

  16. Yu CL, Meyer DJ, Campbell GS, Larner AC, Carter-Su C, Schwartz J, Jove R (1995) Enhanced DNA-binding activity of a Stat3-related protein in cells transformed by the Src oncoprotein. Science 269(5220):81–3. https://doi.org/10.1126/science.7541555

    Article  CAS  PubMed  Google Scholar 

  17. Giordano V, De Falco G, Chiari R, Quinto I, Pelicci PG, Bartholomew L, Delmastro P, Gadina M, Scala G (1997) Shc mediates IL-6 signaling by interacting with gp130 and Jak2 kinase. J Immunol 158(9):4097–103

    Article  CAS  PubMed  Google Scholar 

  18. Manore SG, Doheny DL, Wong GL, Lo HW (2022) IL-6/JAK/STAT3 signaling in breast cancer metastasis: biology and treatment. Front Oncol 12:66

    Article  Google Scholar 

  19. Pencik J, Pham HTT, Schmoellerl J, Javaheri T, Schlederer M, Culig Z et al (2016) JAK-STAT signaling in cancer: from cytokines to non-coding genome. Cytokine 87:26

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Ma JH, Qin L, Li X (2020) Role of STAT3 signaling pathway in breast cancer. Cell Commun Signal 18(1):66

    Article  Google Scholar 

  21. Diaz N, Minton S, Cox C, Bowman T, Gritsko T, Garcia R et al (2006) Activation of Stat3 in primary tumors from high-risk breast cancer patients is associated with elevated levels of activated Src and survivin expression. Clin Cancer Res 12(1):20–28

    Article  CAS  PubMed  Google Scholar 

  22. Yan R, Lin F, Hu C, Tong S (2015) Association between STAT3 polymorphisms and cancer risk: a meta-analysis. Mol Genet Genomics 290(6):2261–2270

    Article  CAS  PubMed  Google Scholar 

  23. Miller SA, Dykes DD, Polesky HF (1988) A simple salting out procedure for extracting DNA from human nucleated cells. Nucleic Acids Res 16(3):1215–1215. https://doi.org/10.1093/nar/16.3.1215

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Wang Z, Xu B, Zhang H, Fan R, Zhou J, Zhong J (2014) Association between STAT3 gene polymorphisms and Crohn’s disease susceptibility: a case–control study in a Chinese Han population. Diagn Pathol 9(1):104. https://doi.org/10.1186/1746-1596-9-104

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Hu K, Hou S, Jiang Z, Kijlstra A, Yang P (2012) JAK2 and STAT3 polymorphisms in a Han Chinese population with Behçet’s disease. Invest Ophthalmol Vis Sci 53(1):538–541

    Article  CAS  PubMed  Google Scholar 

  26. Sato K, Shiota M, Fukuda S, Iwamoto E, MacHida H, Inamine T et al (2009) Strong evidence of a combination polymorphism of the tyrosine kinase 2 gene and the signal transducer and activator of transcription 3 gene as a DNA-based biomarker for susceptibility to Crohn’s disease in the Japanese population. J Clin Immunol 29(6):815–825

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Solé X, Guinó E, Valls J, Iniesta R, Moreno V (2006) SNPStats: a web tool for the analysis of association studies. Bioinformatics 22(15):1928–1929

    Article  PubMed  Google Scholar 

  28. IBM Corp. IBM SPSS Statistics for Windows (Version 25.0) [Computer software]. Armonk: IBM Corp; 2017.

  29. Barrett JC, Fry B, Maller J, Daly MJ (2005) Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics 21(2):263–265

    Article  CAS  PubMed  Google Scholar 

  30. Ighid N, El Akil S, Elouilamine E, Izaabel EH (2022) A negative association of CTLA-4 genetic variant (rs11571317) with breast cancer risk in Moroccan population. Gene Rep 26:101513

    Article  CAS  Google Scholar 

  31. Aggarwal BB, Kunnumakkara AB, Harikumar KB, Gupta SR, Tharakan ST, Koca C et al (2009) Signal transducer and activator of transcription-3, inflammation, and cancer: How intimate is the relationship? Ann N Y Acad Sci 1171:59–76

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Klemm JD, Schreiber SL, Crabtree GR (1998) Dimerization as a regulatory mechanism in signal transduction. Annu Rev Immunol 16:569–592

    Article  CAS  PubMed  Google Scholar 

  33. Bharti AC, Vishnoi K, Singh SM, Aggarwal BB. Pathways linked to cancer chemoresistance and their targeting by nutraceuticals. In: Role of Nutraceuticals in cancer chemosensitization. Academic Press; 2018. p. 1–30.

  34. Tuli HS, Sak K, Iqubal A, Garg VK, Varol M, Sharma U et al (2022) STAT signaling as a target for intervention: from cancer inflammation and angiogenesis to non-coding RNAs modulation. Mol Biol Rep 6:66

    Google Scholar 

  35. Yu H, Lee H, Herrmann A, Buettner R, Jove R (2014) Revisiting STAT3 signalling in cancer: new and unexpected biological functions. Nat Rev Cancer 14(11):736–746

    Article  CAS  PubMed  Google Scholar 

  36. Yu H, Pardoll D, Jove R (2009) STATs in cancer inflammation and immunity: a leading role for STAT3. Nat Rev Cancer 9(11):798

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Haura EB, Turkson J, Jove R (2005) Mechanisms of disease: insights into the emerging role of signal transducers and activators of transcription in cancer. Nat Clin Pract Oncol 2(6):315–324

    Article  CAS  PubMed  Google Scholar 

  38. Hsieh FC, Cheng G, Lin J (2005) Evaluation of potential Stat3-regulated genes in human breast cancer. Biochem Biophys Res Commun 335(2):292–299

    Article  CAS  PubMed  Google Scholar 

  39. Chen Y, Wang J, Wang X, Liu X, Li H, Lv Q et al (2013) STAT3, a poor survival predicator, is associated with lymph node metastasis from breast cancer. J Breast Cancer 16(1):40–49

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Chung SS, Giehl N, Wu Y, Vadgama JV (2014) STAT3 activation in HER2-overexpressing breast cancer promotes epithelial-mesenchymal transition and cancer stem cell traits. Int J Oncol 44(2):403–411

    Article  CAS  PubMed  Google Scholar 

  41. Lehmann BD, Pietenpol JA (2015) Clinical implications of molecular heterogeneity in triple negative breast cancer. Breast 24:S36-40

    Article  PubMed  Google Scholar 

  42. Elouilamine E, El Akil S, Aznag FZ, Izaabel EH (2020) CYP2D6 gene polymorphisms and breast cancer risk in Moroccan population: a case–control study. Gene Rep 20:100768. https://doi.org/10.1016/j.genrep.2020.100768

    Article  CAS  Google Scholar 

  43. Aznag FZ, Elouilamine E, Basselam MA, Chadli S, El Cadi MA, Hassan IE (2018) Epidemiological and biological profiling of breast cancer in southern Morocco. Integr J Med Sci 5:5–6

    Article  Google Scholar 

  44. Banerjee K, Resat H (2016) Constitutive activation of STAT3 in breast cancer cells: a review. Int J Cancer 138:2570–8

    Article  CAS  PubMed  Google Scholar 

  45. Zhao L, Zhang Q, Luan X, Huang X, Zhao S, Zhao H (2015) STAT3 and STAT5b polymorphism contributes to breast cancer risk and clinical outcomes. Int J Clin Exp Pathol 8(2):2033–2038

    PubMed  PubMed Central  Google Scholar 

  46. Liu LYD, Chang LY, Kuo WH, Hwa HL, Lin YS, Huang SF et al (2012) Major functional transcriptome of an inferred center regulator of an ER(−) breast cancer model system. Cancer Inform 11:87

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Yarden Y (2001) Biology of HER2 and its importance in breast cancer. Oncology 61(SUPPL. 2):1–13

    Article  CAS  PubMed  Google Scholar 

  48. Slamon DJ, Clark GM, Wong SG, Levin WJ, Ullrich A, McGuire WL (1987) Human breast cancer: correlation of relapse and survival with amplification of the HER-2/neu oncogene. Science 235(4785):182–191

    Article  Google Scholar 

  49. Brown M, Bauer K, Pare M (2010) Tumor marker phenotype concordance in second primary breast cancer, California, 1999–2004. Breast Cancer Res Treat 120(1):217–227

    Article  PubMed  Google Scholar 

  50. Jiang B, Zhu ZZ, Liu F, Yang LJ, Zhang WY, Yuan HH et al (2011) STAT3 gene polymorphisms and susceptibility to non-small cell lung cancer. Genet Mol Res 10(3):1856–1865

    Article  CAS  PubMed  Google Scholar 

  51. Wang K, Zhou B, Zhang J, Xin Y, Lai T, Wang Y et al (2011) Association of signal transducer and activator of transcription 3 gene polymorphisms with cervical cancer in Chinese women. DNA Cell Biol 30(11):931–936

    Article  CAS  PubMed  Google Scholar 

  52. Yuan K, Liu H, Huang L, Ren X, Liu J, Dong X et al (2014) rs744166 polymorphism of the STAT3 gene is associated with risk of gastric cancer in a Chinese population. Biomed Res Int 2014:527918

    PubMed  PubMed Central  Google Scholar 

  53. Gong WJ, Ma LY, Hu L, Lv YN, Huang H, Xu JQ et al (2019) STAT3 rs4796793 contributes to lung cancer risk and clinical outcomes of platinum-based chemotherapy. Int J Clin Oncol 24(5):476–484. https://doi.org/10.1007/s10147-018-01386-7

    Article  CAS  PubMed  Google Scholar 

  54. Sławińska M, Zabłotna M, Gleń J, Lakomy J, Nowicki RJ, Sobjanek M (2019) STAT3 polymorphisms and IL-6 polymorphism are associated with the risk of basal cell carcinoma in patients from northern Poland. Arch Dermatol Res 311(9):697–704. https://doi.org/10.1007/s00403-019-01952-7

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

Dr. Mohammed Aghrouch (Head of the Medical Analysis Laboratory at the Regional Hospital Hassan II, Agadir City), Dr. El Allali (Laboratory of Medical and Biological Analysis, Agadir City), as well as the entire staff of the Oncology and Radiotherapy Center of Hospital Hassan II in Agadir, are all gratefully acknowledged by the authors for their contributions to the realization of this work.

Funding

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Author notes

  1. Nassima Ighid and Soumaya El Akil have contributed equally to this work

Authors and Affiliations

  1. Cellular Biology and Molecular Genetics Laboratory, Ibn Zohr University, PO Box 8106, 80000, Agadir, Morocco

    Nassima Ighid, Soumaya El Akil & El Hassan Izaabel

  2. Sustainable Innovation and Applied Research Laboratory, Universiapolis, Agadir, Morocco

    Nassima Ighid & Soumaya El Akil

Authors
  1. Nassima Ighid
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  2. Soumaya El Akil
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  3. El Hassan Izaabel
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Contributions

NI contributed to the conceptualization, methodology, software, data curation, and writing—original draft preparation. SEA contributed to the conceptualization, methodology, software, writing—reviewing, and editing. EHI contributed to the conceptualization, writing—reviewing, and supervision. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Nassima Ighid.

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Ethics approval and consent to participate

All subjects gave informed consent before participating in the study. The study was conducted in accordance with the Helsinki Declaration, and the protocol was approved by the Ethics Committee of Cadi Ayyad University Hospital Center (CHU) Mohammed VI, Marrakech, Morocco.

Consent for publication

Written informed consent was obtained from all patients and controls.

Competing interests

The authors declare that they have no competing interests.

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Ighid, N., El Akil, S. & Izaabel, E.H. STAT3 gene polymorphisms and susceptibility to breast cancer in the Moroccan population. Egypt J Med Hum Genet 24, 85 (2023). https://doi.org/10.1186/s43042-023-00465-3

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