Skip to main content
Download PDF
  • Primary Research
  • Open access
  • Published:

Unique CD44 intronic SNP is associated with tumor grade in breast cancer: a case control study and in silico analysis

Cancer Cell International volume 18, Article number: 28 (2018) Cite this article

Abstract

Background

CD44 encoded by a single gene is a cell surface transmembrane glycoprotein. Exon 2 is one of the important exons to bind CD44 protein to hyaluronan. Experimental evidences show that hyaluronan–CD44 interaction intensifies the proliferation, migration, and invasion of breast cancer cells. Therefore, the current study aimed at investigating the association between specific polymorphisms in exon 2 and its flanking region of CD44 with predisposition to breast cancer.

Methods

In the current study, 175 Iranian female patients with breast cancer and 175 age-matched healthy controls were recruited in biobank, Breast Cancer Research Center, Tehran, Iran. Single nucleotide polymorphisms of CD44 exon 2 and its flanking were analyzed via polymerase chain reaction and gene sequencing techniques. Association between the observed variation with breast cancer risk and clinico-pathological characteristics were studied. Subsequently, bioinformatics analysis was conducted to predict potential exonic splicing enhancer (ESE) motifs changed as the result of a mutation.

Results

A unique polymorphism of the gene encoding CD44 was identified at position 14 nucleotide upstream of exon 2 (A37692→G) by the sequencing method. The A > G polymorphism exhibited a significant association with higher-grades of breast cancer, although no significant relation was found between this polymorphism and breast cancer risk. Finally, computational analysis revealed that the intronic mutation generated a new consensus-binding motif for the splicing factor, SC35, within intron 1.

Conclusions

The current study results indicated that A > G polymorphism was associated with breast cancer development; in addition, in silico analysis with ESE finder prediction software showed that the change created a new SC35 binding site.

Background

Breast cancer is one of the leading causes of cancer-related mortality and the most prevalent cancer in women worldwide [1]. Family history of the disease is one of the most important risk factors for breast cancer [2, 3]. Therefore, inherited genetic makeup may bring about the utmost risk of developing cancer. The most important familial breast cancer susceptibility genes are BRCA1 and BRCA2, which are inherited with autosomal dominant pattern. The carriers of mutant genes have a significantly greater risk for developing breast and ovary cancers [4, 5]. According to the current estimates, known breast cancer susceptibility genes are responsible for only less than 25% of the familial clustering of breast cancer [6]. This fact requires the execution of further studies to detect other responsible genes.

One of the interesting candidates of such genes is CD44, which plays pivotal roles in normal and pathologic processes of the body. CD44 is composed of 20 exons spanning about 50 kb of DNA [7]. CD44 is one of the most notable examples of alternative splicing because 10 of a total of 20 exons can be included or skipped to produce over 1000 potential isoforms [8]. The 1st and the last 5 exons of the gene are constant exons [9]. The protein is involved in normal processes of the body such as cell–cell and cell–extracellular matrix interactions, and thereby, plays important roles in lymphocyte migration, extravasation and homing, T cell and B-cell adhesion, T-cell signaling, and apoptosis [2, 10,11,12,13,14,15,16]. Some studies point out its qualitative and quantitative expression changes in breast cancer. There is a noticeable link between CD44 expression and breast cancer aggressiveness [17,18,19]. The altered splicing patterns are reported in many cancer-related genes, including FGFR, CD44, MDM2, IIp45, etc. [20]. Serine/arginine-rich (SR) proteins implicated as trans-acting factors are closely correlated with tumorigenesis. The SR family of proteins is bound to ESEs; therefore, they can promote exon recognition and correct splicing. Nucleotide substitution in ESEs can affect the binding of SR proteins to these ESEs, leading to splicing errors and exon skipping or intron retention [21].

High level of SR proteins expression is correlated with a progression from a pre-neoplastic to metastatic cancer in a mouse model of mammary cancer [22]. Increased expression of the SR proteins is also associated with an increased complexity of CD44 isoforms, indicating increased SR protein expression that may promote alternative splicing of CD44 mRNA and contribute to tumor progression [23]. CD44 is also one of the well-known markers of breast cancer-initiating cells (BCIC). These cells are phenotypically distinguished cells, which account for the development of primary and metastatic tumor. CD44 acts as a BCIC biomarker and the main contributor to BCICs maintenance, activity, drug, and radiation resistance, as well as pre-metastatic niche preparation [10, 16, 19]. Exon 2 is one of the important exons to bind CD44 protein to hyaluronan [24]. Experimental evidence shows that hyaluronan–CD44 interaction intensifies the proliferation, migration, invasion, tumor angiogenesis, and patient survival of breast cancer cells. This polymorphism was examined in a white and African–American population and there was a significant relationship between the frequency of this polymorphism and the risk of breast cancer. Based on our knowledge, there are no studies reporting the association between CD44 polymorphisms and breast cancer risk as well as clinico-pathological properties in Iranian patients. Therefore, the current study aimed at investigating the association between specific polymorphisms in exon 2 and its flanking region with breast cancer risk.

Materials and methods

Study population

In the current case–control study, 350 subjects (175 cases and 175 age-matched controls) were investigated. To prepare the subjects, blood samples were taken from them; then, the specimens were sent to the Breast Cancer Research Institute (BCRC-BB) and collected in the Biological Bank of the institute. The inclusion criteria of the study were: having breast cancer and the availability of blood sample. Healthy matched controls were selected from age-matched females. They did not have any signs or familial history of breast cancer. BCRC-BB is obliged to ethical guidelines and recommendations for biobanks on the storage and use of human biological samples. The current study was approved by the BCRC Research Ethics Committee and performed according to the ethical standards as laid down in the 1964 Declaration of Helsinki. In addition, all patients provided written informed consent before entering the biobank. The diagnosis of cancer was confirmed by histopathological analysis. Clinical information such as stage, grade, hormonal receptor status (ER, PR, and Her2), tumor size, and clinical lymph node was obtained from the hospital records.

Genomic DNA isolation and PCR amplification

Genomic DNA was extracted from peripheral blood samples using the genomic DNA purification kit (Promega, Madison, USA) according to the manufacturer’s recommendations. DNA sequencing method was used to determine the polymorphisms in the CD44 exon 2 (166 bp) and its flanking region (271 bp). Briefly, genomic DNA from each sample was amplified using 0.5 µM forward (5′-CCGGCCTTATTTGACTTTTTAAGGAGTCTG-3′) and reveres (5′-CTCCAGTTGTCATACAGGTTGCA GATTGAC-3′) primers designed by Zhou et al. [25]. The PCR program was 94 °C for 5 min (1 cycle), 94 °C for 40 s, 64 °C for 30 s, and 72 °C for 35 s (30 cycles), and the final extension at 72 °C for 5 min. The PCR product, with an expected length of 437 bp, was analyzed in 2% gel agarose electrophoresis. Then, the PCR products were sequenced by standard methods using BigDye terminator DNA sequencing kit (Applied Biosystems, Foster City, CA) with CD44 forward and reverse primers. Sequences were blasted and then, DNA Baser software was used to investigate the sequencing results [26].

Statistical analysis

Statistical analysis was performed with SPSS version 18.0 software. Associations between the single-nucleotide polymorphism (SNP) and breast cancer risk were assessed using the Chi square test. A 2-tailed P value < 0.05 was considered statistically significant.

In silico analysis

In order to identify the potential impact of the A > G variant on the efficiency of splicing, in silico analyses were performed using Human Splicing Finder version 3.0 (HSF) and ESE finder with mutant and reference sequences [27, 28].

HSF was used to predict acceptor (3′ ss) and donor (5′ ss) splice sites strength based on position weight matrices.

ESEs were recognized by individual SR proteins in the study subjects. ESE finder was used to identify ESE motifs that changed as a result of a mutation (ESE-finder: http://rulai.cshl.edu/tools/ESE/). The default threshold values were considered to identify sites responsible for 4 SR proteins, including alternative splicing factor/splicing factor2 (ASF/SF2), SR splicing factor 5 (SRp40), SR splicing factor 3 (SC35), and SR splicing factor 6 (SRp55). Only the wild type or mutant sequence motifs with scores higher than or equal to the threshold were considered.

Results

Characteristics of participants

The demographic and clinico-pathological characteristics of the case and control groups were summarized in Table 1. There was no statistical difference between the case and control groups concerning age distribution.

Table 1 Demographic features of patients
Full size table

Distribution of polymorphisms in exon 2 and its flanking of CD44

Sequence analysis showed a unique polymorphism between CD44 exon 2 and its upstream intron (intron 1). The polymorphic change was A > G located 14 nucleotides upstream of the exon 2 (A37692→G) (Fig. 1). Result of the Chi square test showed that frequency of A > G variant was 42.6 and 36.9% in patients and controls, respectively. Accordingly, this polymorphism was higher in females with breast cancer in comparison with that of control population, though this difference was statistically insignificant (P = 0.27). The risk of breast cancer related to CD44 polymorphism was further examined with stratification by age, family history of breast cancer, pathological type, clinical stage, estrogen/progesterone receptor status (ER, PR), and Her2 expression. Results of the current study showed no significant associations between the homo- and heterozygous polymorphism and age, ER/PR/HER2 status, or molecular subtype. Interestingly, significant association was found between A > G polymorphism with higher-grade tumors (grade 3) [P = 0.009, odds ratio (OR) = 2.5], indicating that A > G polymorphism increased approximately twice more the risk of higher grade of breast cancer (Table 2). Polymorphism in intron 1 CD44 was identified in 58.69% of females with breast cancer grade 3. Another A > G nucleotide change was detected in intron 1 that was a 37-nucleotide upstream exon 2 (A37669→G) in only two patients with breast cancer. Both heterozygous and homozygous SNPs were identified in patients with breast cancer.

Fig. 1
figure 1

Distributions of polymorphisms in exon 2 and its flanking in CD44. Chromatogram of A > G heterozygous variant (a), homozygous change (b), and wild-type sequence (c) in CD44 intron 1, 14 nucleotides upstream of exon 2

Full size image
Table 2 Association of CD44 polymorphism with tumor grade
Full size table

In silico analysis

The disruption of cis-elements or the change in splice site strength are among the approaches in which mutations can affect splicing. These effects were investigated by Human Splicing Finder version 3.0 and ESE-finder, respectively [27, 28].

ESE finder showed that mutation generated a new SC35 binding site within intron 1. This sequence is shown in boldface in Table 3 and the mutated nucleotide is underlined. The score for the newly generated SC35 binding motif was higher than the defaults threshold. Human Splicing Finder version 3.0 revealed that polymorphism does not alter an authentic splice site (data not shown).

Table 3 The prediction of the connected ESE motifs by examining the intron 1 and exon 2 sequences with the ESE finder program
Full size table

Discussion

The CD44 gene is located on human chromosome 11p13 in which at least 10 internal exons can be alternatively spliced [7]. The CD44 protein binds to hyaluronan via regions coded by the exons 2 and 5 [24]. Experimental evidence shows that hyaluronan–CD44 interaction intensifies the proliferation, migration, and invasion of breast cancer cells. It is also associated with tumor angiogenesis and patient survival [29,30,31,32,33]. There are few studies reporting the association between CD44 polymorphisms and breast cancer risk [25, 34,35,36,37]. This polymorphism was examined in a white and African–American population and there was a significant relationship between the frequency of this polymorphism and the risk of breast cancer. It is also known that patients with breast cancer also had a significantly higher percentage of unique SNP than normal donors [25]. This polymorphism probably leads to tumor progression. It is reported that CD44 rs353639 variant may associate with breast cancer prognosis; however, both the rs13347 and rs353639 polymorphisms did not affect breast cancer risk in a North Indian population [36]. Zhou et al., also showed that the combined effects of 4 SNPs in CD44 exon 2 were significantly associated with breast cancer development; however, no significant difference was found between SNPs and breast cancer risk [37]. These reports motivated the authors to investigate the association of specific polymorphisms in exon 2 and its flanking region with breast cancer risk.

In the current study, a significant association was found between A > G polymorphism and higher grades of breast cancer (grade 3), while no significant difference was observed between the said polymorphism and breast cancer risk. To the authors’ best knowledge, the association between A > G polymorphism and cancer grade was reported for the first time in the current study.

AA genotypes are directly proportional to low grade tumors (G 1/2), while this trend is reversed in patients carrying AG/GG genotypes as they showed a significantly higher incidence of grade 3. These data indicate that AG/GG genotypes may lead to higher grades of breast cancer. In another study, a significant association was observed between the same CD44 polymorphism and breast cancer risk in the population, European descent and African–American. However, there were statistically significant differences in the distribution of allele frequency and breast cancer risk based on ethnic groups; the difference was especially great in the case of the European descent (P < 0.005). The difference in allele frequencies between above-mentioned study and our data may be due to the variations in sample selection criteria, geographical distribution, and different ethnic groups. It was reported that African–American have higher mortality rate due to breast cancer than the European descent; however, African–American females had a lower incidence of breast cancer compared with European females [38]. Zhou et al., also showed that frequency of the unique SNP in CD44 intron 1 was higher both in African–American patients with breast cancer and normal donors than white population, while breast cancer was diagnosed at an earlier age in African–American females carrying the unique polymorphism in intron 1 than the European females. These results were consistent with those of the current study that showed the association of the unique SNP in intron 1 with breast cancer invasion and mortality [25].

It is estimated that 15% of point mutations causing human genetic diseases disrupt splice sites or splicing control sequences [39]. Most mutations result in exon skipping due to disruption of 5′ and 3′ splice sites. As previously mentioned, since SR proteins usually induce splicing as a result of their connection to ESE and ISE, the ESE Finder program was used to examine the presence of potential SR protein binding sites within the exon 2 of CD44 and its flanking region [27]. Remarkably, this analysis identified a new high-affinity SC35 binding site located within mutant, but not in the wild type sequence. Additionally, SR protein levels can affect CD44 alternative splicing implicated in tumor progression [40]. In human disease genes, mutations in the ESE sequences linked to aberrant transcripts. For example, a disease-related point mutation at position 26 of the intron of the dE1-α PDH gene activates cryptic 5′ splice site due to increased SC35 binding to an ESE; this activation is consistent with the ESE score values predicted by ESE finder [41]. Based on the in silico analysis, A > G polymorphism within exon 2 flanking region of CD44 may be effective on CD44 splicing due to the creation of a new position for SR proteins. The intronic mutation generates a new binding motif for the SC35 and may lead to part of the intron 1 sequence be incorporated into exon. Further studies are needed to confirm our hypothesis by performing in vitro splicing assays.

The current study had some limitations that should be acknowledged. Since the new alternative splicing site was found in this study, further experimental validation of this site and detecting probable protein varient producing from this site is recommended. In addition, independent studies in other ethnic populations are still needed to confirm our present findings.

Conclusions

The current study found that A > G polymorphism in intron 1 of CD44 was associated with higher grades of breast cancer, and generated a new SC35 binding site as predicted by the ESE finder. Since CD44 alternative splicing and overexpression implicated in tumor progression, more experiments should be performed to determine the probable effects of A > G polymorphism on CD44 expression in patients with breast cancer.

Abbreviations

PCR:

polymerase chain reaction

ESE:

exonic splicing enhancer

SR:

serine/arginine-rich

BCIC:

breast cancer-initiating cells

BCRC-BB:

Breast Cancer Research Institute

SNP:

single-nucleotide polymorphism

HSF:

Human Splicing Finder version

ASF/SF2:

alternative splicing factor/splicing factor2

ER/PR:

estrogen/progesterone receptor status

References

  1. Kamangar F, Dores GM, Anderson WF. Patterns of cancer incidence, mortality, and prevalence across five continents: defining priorities to reduce cancer disparities in different geographic regions of the world. J Clin Oncol. 2006;24(14):2137–50.

    Article  PubMed  Google Scholar 

  2. Sellers TA. Genetic factors in the pathogenesis of breast cancer: their role and relative importance. J Nutr. 1997;127(5):929S–32S.

    Article  CAS  PubMed  Google Scholar 

  3. Oskouee MA, Shahmahmoudi S, Nategh R, Esmaeili H-A, Safaeyan F, Moghaddam MZ. Three common TP53 polymorphisms and the risk of breast cancer among groups of Iranian women. Arch Breast Cancer. 2015;2(4):114–9.

    Google Scholar 

  4. Antoniou A, Easton D. Models of genetic susceptibility to breast cancer. Oncogene. 2006;25(43):5898–905.

    Article  CAS  PubMed  Google Scholar 

  5. King M-C, Marks JH, Mandell JB. Breast and ovarian cancer risks due to inherited mutations in BRCA1 and BRCA2. Science. 2003;302(5645):643–6.

    Article  CAS  PubMed  Google Scholar 

  6. Thompson D, Easton D. The genetic epidemiology of breast cancer genes. J Mammary Gland Biol Neoplasia. 2004;9(3):221–36.

    Article  PubMed  Google Scholar 

  7. Goodfellow PN, Banting G, Wiles MV, Tunnacliffe A, Parkar M, Solomon E, et al. The gene, MIC4, which controls expression of the antigen defined by monoclonal antibody F10. 44.2, is on human chromosome 11. Eur J Immunol. 1982;12(8):659–63.

    Article  CAS  PubMed  Google Scholar 

  8. Bell MV, Cowper AE, Lefranc M-P, Bell JI, Screaton GR. Influence of intron length on alternative splicing of CD44. Mol Cell Biol. 1998;18(10):5930–41.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Screaton GR, Bell MV, Jackson DG, Cornelis FB, Gerth U, Bell JI. Genomic structure of DNA encoding the lymphocyte homing receptor CD44 reveals at least 12 alternatively spliced exons. Proc Natl Acad Sci. 1992;89(24):12160–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Al-Hajj M, Wicha MS, Benito-Hernandez A, Morrison SJ, Clarke MF. Prospective identification of tumorigenic breast cancer cells. Proc Natl Acad Sci. 2003;100(7):3983–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Bourguignon L, Zhu D, Zhu H. CD44 isoform–cytoskeleton interaction in oncogenic signaling and tumor progression. Front Biosci. 1998;1998(3):d637–49.

    Article  Google Scholar 

  12. Chen D, McKallip RJ, Zeytun A, Do Y, Lombard C, Robertson JL, et al. CD44-deficient mice exhibit enhanced hepatitis after concanavalin A injection: evidence for involvement of CD44 in activation-induced cell death. J Immunol. 2001;166(10):5889–97.

    Article  CAS  PubMed  Google Scholar 

  13. McKallip RJ, Fisher M, Do Y, Szakal AK, Gunthert U, Nagarkatti PS, et al. Targeted deletion of CD44v7 exon leads to decreased endothelial cell injury but not tumor cell killing mediated by interleukin-2-activated cytolytic lymphocytes. J Biol Chem. 2003;278(44):43818–30.

    Article  CAS  PubMed  Google Scholar 

  14. McKallip RJ, Fisher M, Gunthert U, Szakal AK, Nagarkatti PS, Nagarkatti M. Role of CD44 and its v7 isoform in staphylococcal enterotoxin B-induced toxic shock: CD44 deficiency on hepatic mononuclear cells leads to reduced activation-induced apoptosis that results in increased liver damage. Infect Immun. 2005;73(1):50–61.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Rafi A, Nagarkatti M, Nagarkatti PS. Hyaluronate–CD44 interactions can induce murine B-cell activation. Blood. 1997;89(8):2901–8.

    CAS  PubMed  Google Scholar 

  16. Sales KM, Winslet MC, Seifalian AM. Stem cells and cancer: an overview. Stem Cell Rev. 2007;3(4):249–55.

    Article  CAS  PubMed  Google Scholar 

  17. Bankfalvi A, Terpe HJ, Breukelmann D, Bier B, Rempe D, Pschadka G, et al. Gains and losses of CD44 expression during breast carcinogenesis and tumour progression. Histopathology. 1998;33(2):107–16.

    Article  CAS  PubMed  Google Scholar 

  18. Kaufmann M, von Minckwitz G, Heider K, Ponta H, Herrlich P, Sinn H. CD44 variant exon epitopes in primary breast cancer and length of survival. Lancet. 1995;345(8950):615–9.

    Article  CAS  PubMed  Google Scholar 

  19. Dall P, Heider KH, Sinn HP, Skroch-Angel P, Adolf G, Kaufmann M, et al. Comparison of immunohistochemistry and RT-PCR for detection of CD44v-expression, a new prognostic factor in human breast cancer. Int J Cancer. 1995;60(4):471–7.

    Article  CAS  PubMed  Google Scholar 

  20. Srebrow A, Kornblihtt AR. The connection between splicing and cancer. J Cell Sci. 2006;119(13):2635–41.

    Article  CAS  PubMed  Google Scholar 

  21. Cartegni L, Chew SL, Krainer AR. Listening to silence and understanding nonsense: exonic mutations that affect splicing. Nat Rev Genet. 2002;3(4):285–98.

    Article  CAS  PubMed  Google Scholar 

  22. Stickeler E, Kittrell F, Medina D, Berget SM. Stage-specific changes in SR splicing factors and alternative splicing in mammary tumorigenesis. Oncogene. 1999;18(24):3574–82.

    Article  CAS  PubMed  Google Scholar 

  23. Günthert U, Hofmann M, Rudy W, Reber S, Zöller M, Haußmann I, et al. A new variant of glycoprotein CD44 confers metastatic potential to rat carcinoma cells. Cell. 1991;65(1):13–24.

    Article  PubMed  Google Scholar 

  24. Telen MJ, Udani M, Washington MK, Levesque MC, Lloyd E, Rao N. A blood group-related polymorphism of CD44 abolishes a hyaluronan-binding consensus sequence without preventing hyaluronan binding. J Biol Chem. 1996;271(12):7147–53.

    Article  CAS  PubMed  Google Scholar 

  25. Zhou J, Nagarkatti PS, Zhong Y, Creek K, Zhang J, Nagarkatti M. Unique SNP in CD44 intron 1 and its role in breast cancer development. Anticancer Res. 2010;30(4):1263–72.

    PubMed  PubMed Central  Google Scholar 

  26. DNA Sequence Assembler v4. Heracle BioSoft; 2013. http://www.DnaBaser.com.

  27. Cartegni L, Wang J, Zhu Z, Zhang MQ, Krainer AR. ESEfinder: a web resource to identify exonic splicing enhancers. Nucleic Acids Res. 2003;31(13):3568–71.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Desmet F-O, Hamroun D, Lalande M, Collod-Béroud G, Claustres M, Béroud C. Human Splicing Finder: an online bioinformatics tool to predict splicing signals. Nucleic Acids Res. 2009;37(9):e67.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Catterall JBGM, Turner GA. Hyaluronic acid, cell adhesion and metastasis. Cancer J. 1995;8:320–30.

    CAS  Google Scholar 

  30. Knudson CB, Knudson W. Hyaluronan-binding proteins in development, tissue homeostasis, and disease. FASEB J. 1993;7(13):1233–41.

    Article  CAS  PubMed  Google Scholar 

  31. Kosaki R, Watanabe K, Yamaguchi Y. Overproduction of hyaluronan by expression of the hyaluronan synthase Has2 enhances anchorage-independent growth and tumorigenicity. Cancer Res. 1999;59(5):1141–5.

    CAS  PubMed  Google Scholar 

  32. Naor D, Sionov RV, Ish-Shalom D. CD44: structure, function and association with the malignant process. Adv Cancer Res. 1997;71:241–319.

    Article  CAS  PubMed  Google Scholar 

  33. So JY, Lee HJ, Smolarek AK, Paul S, Wang C-X, Maehr H, et al. A novel Gemini vitamin D analog represses the expression of a stem cell marker CD44 in breast cancer. Mol Pharmacol. 2011;79(3):360–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Jiang L, Deng J, Zhu X, Zheng J, You Y, Li N, et al. CD44 rs13347 C > T polymorphism predicts breast cancer risk and prognosis in Chinese populations. Breast Cancer Res. 2012;14(4):R105.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Zhou X, Wu C. Association of CD44 polymorphisms with chemosensitivity to anthracycline-based chemotherapy in breast cancer. J Jilin Univ. 2012;38:110–4.

    CAS  Google Scholar 

  36. Tulsyan S, Agarwal G, Lal P, Agrawal S, Mittal RD, Mittal B. CD44 gene polymorphisms in breast cancer risk and prognosis: a study in North Indian population. PLoS ONE. 2013;8(8):e71073.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Zhou J, Nagarkatti PS, Zhong Y, Zhang J, Nagarkatti M. Implications of single nucleotide polymorphisms in CD44 exon 2 in risk for breast cancer. Eur J Cancer Prev Off J Eur Cancer Prev Org (ECP). 2011;20(5):396.

    Article  CAS  Google Scholar 

  38. Jemal A, Siegel R, Ward E, Hao Y, Xu J, Murray T, et al. Cancer statistics, 2008. CA Cancer J Clin. 2008;58(2):71–96.

    Article  PubMed  Google Scholar 

  39. Krawczak M, Reiss J, Cooper DN. The mutational spectrum of single base-pair substitutions in mRNA splice junctions of human genes: causes and consequences. Hum Genet. 1992;90(1–2):41–54.

    CAS  PubMed  Google Scholar 

  40. Götte M, Yip GW. Heparanase, hyaluronan, and CD44 in cancers: a breast carcinoma perspective. Cancer Res. 2006;66(21):10233–7.

    Article  PubMed  Google Scholar 

  41. Miné M, Brivet M, Touati G, Grabowski P, Abitbol M, Marsac C. Splicing error in E1α pyruvate dehydrogenase mRNA caused by novel intronic mutation responsible for lactic acidosis and mental retardation. J Biol Chem. 2003;278(14):11768–72.

    Article  PubMed  Google Scholar 

Download references

Authors’ contributions

RE provide the idea of the study. RE, MN design the study. RE, NA, FY take participate in data analysis. RE, KM-A review the manuscript, provide the funding. RE, AK experimental work, draft manuscript. RE, AK, MN clinical data and patients. All authors read and approved the final manuscript.

Acknowledgements

Not applicable.

Competing interests

The author declare that they have no competing interests.

Availability of data and materials

The data supporting the conclusions of this paper are included within the manuscript.

Consent for publication

All authors for publication approve the manuscript.

Ethics approval and consent to participate

BCRC-BB is obliged to ethical guidelines and recommendations for biobanks on the storage and use of human biological samples. In addition, all patients provided written informed consent before entering the biobank. The current study was approved by the BCRC Research Ethics Committee.

Funding

The current study was funded by the Academic Center for Education, Culture, & Research (ACECR) and Tehran University of Medical Science (TMU), Tehran, Iran.

Publisher’s Note

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

Author information

Author notes

  1. Ahmad Kaviani

    Present address: Department of Surgery, Tehran University of Medical Sciences, No 136, Molla-Sadra St., Tehran, Iran

Authors and Affiliations

  1. Genetics Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, No 146, South Gandhi Ave, Vanak Sq., Tehran, Iran

    Rezvan Esmaeili, Nasrin Abdoli, Fatemeh Yadegari, Leila Farahmand & Keivan Majidzadeh-A

  2. Azad University of Karaj, Tehran, Iran

    Nasrin Abdoli

  3. Department of Surgery, Tehran University of Medical Sciences, No 136, Molla-Sadra St., Tehran, Iran

    Mohamadreza Neishaboury

Authors
  1. Rezvan Esmaeili
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nasrin Abdoli
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Fatemeh Yadegari
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Mohamadreza Neishaboury
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Leila Farahmand
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Ahmad Kaviani
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Keivan Majidzadeh-A
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Ahmad Kaviani or Keivan Majidzadeh-A.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Esmaeili, R., Abdoli, N., Yadegari, F. et al. Unique CD44 intronic SNP is associated with tumor grade in breast cancer: a case control study and in silico analysis. Cancer Cell Int 18, 28 (2018). https://doi.org/10.1186/s12935-018-0522-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12935-018-0522-2

Keywords

Cancer Cell International

ISSN: 1475-2867

Contact us