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Journal of Cancer Research and Clinical Oncology logoLink to Journal of Cancer Research and Clinical Oncology
. 2022 Jan 27;148(4):793–802. doi: 10.1007/s00432-021-03884-0

CXCL12/CXCR4 axis gene variants contribute to an increased vulnerability to HPV infection and cervical oncogenesis

Nádia Calvo Martins Okuyama 1, Fernando Cezar-dos-Santos 1, Kleber Paiva Trugilo 1, Aline Esposito 1, Roberta Losi Guembarovski 2, José d’Oliveira Couto-Filho 3, Maria Angelica Ehara Watanabe 4, Karen Brajão de Oliveira 1,
PMCID: PMC11800950  PMID: 35083551

Abstract

Purpose

Every year, more than half a million women are diagnosed with cervical cancer (CC). Individual factors may contribute to the cervical cancer development, such as immunogenetic variation. CXCL12/CXCR4 axis is involved in tumor progression and aggressiveness. In the present study, we aimed to investigate a possible association between two single-nucleotide variants (CXCL12 rs1801157 and CXCR4 rs2228014) with HPV infection and cervical cancer development.

Methods

PCR technique was used to test HPV positivity in 424 women, in which the allelic frequency of CXCL12 rs1801157 and CXCR4 rs2228014 was also assessed by PCR-restriction fragment length polymorphism.

Results

CXCL12 rs1801157 was associated with HPV infection in the allelic distribution as well in the codominant, dominant and recessive genetic models; as well with squamous intraepithelial lesions (SIL) and CC in the codominant and dominant models. CXCR4 rs2228014 was associated to HPV infection in the codominant model and allelic distribution; as well with SIL/CC in the codominant, dominant and allelic models. Independent associations were found for CXCL12 AA genotype and HPV infection, SIL and CC development, as well as, CXCR4 allele T and HPV infection and CC. The variants interaction analysis demonstrated that the presence of both polymorphisms increases the susceptibility of HPV infection in 10.1 times, SIL (2 times) and CC development in 4.2 times.

Conclusions

This is the first study demonstrating that the interaction of CXCL12 and CXCR4 variants contributes to the increased susceptibility of HPV infection, squamous intraepithelial lesions and cervical cancer development.

Keywords: Cervical cancer, rs1801157, rs2228014, Chemokine, Polymorphism

Background

Every year more than half a million women are diagnosed with cervical cancer (CC) and from these, 300 000 die due to the disease (Cohen et al. 2019). Most of the deaths, 85%, occur in less developed countries (Bray et al. 2018). High-risk human papillomavirus (HR-HPV) is the main cause of cervical cancer, between the different histological subtypes the squamous cell carcinoma and adenocarcinoma are the most common representing 70% and 25%, respectively (Cohen et al. 2019). Even though HPV is necessary to the cervical cancer development, the virus alone is not sufficient to transform the cervix cells, therefore, it is important to investigate individual intrinsic factors, such as genetic variation in immunological genes that act as important agents to susceptibility, progression and disease outcome (Torres-Poveda et al. 2016).

CXCL12 gene is located at 10q11.1 and there are three GC boxes and one CAAT box on the gene promoter region that are binding sites for the transcription factors SP1 and CTF, respectively (Shirozu et al. 1995). CXCL12 binds to specific G protein-coupled seven transmembrane receptor CXCR4, which activate a biological axis responsible for cell trafficking, activation and differentiation. CXCR4 gene is located at 2q21 and is expressed on multiple cell types, including lymphocytes, hematopoietic stem cells, endothelial cells, epithelial cells, cancer cells and stromal fibroblasts (Guyon 2014). The CXCL12 rs1801157 and CXCR4 rs2228014 single-nucleotide variants (SNV) have been associated to glioma (Chang et al. 2015), breast cancer (Guembarovski et al. 2018), hepatocellular carcinoma (Qin et al. 2018) and lymphocytic leukemia (Butrym et al. 2016).

Regarding the HPV infection, the CXCR4 upregulation in CC, promoted by the virus, was significantly associated with the histologic grade of CC (Mortezaee 2020). CC cells expressing CXCR4 (but not CXCL12) may initiate their migration and invasion towards a CXCL12 gradient (Zhang et al. 2007; Zanotta et al. 2016) and the CXCL12/CXCR4 axis may affect tumor malignant progression and clinical aggressiveness (Lecavalier-Barsoum et al. 2018). Studies involving CXCL12 and CXCR4 SNVs in CC are scarce. CXCL12 rs1801157 was previously associated to HPV infection (Okuyama et al. 2018) but not associated to the development of squamous intraepithelial lesion (SIL) (Tee et al. 2012). No data about CXCR4 rs2228014 and infection, lesions and CC may be found in the literature.

In this context, in the present study, we investigated the possible association of CXCL12 rs1801157 and CXCR4 rs2228014, and their interaction, with HPV, SIL and CC susceptibility.

Methods

Ethical approval, patients and samples

This study was approved by the Institutional Ethics Committee Involving Humans at State University of Londrina, Londrina—PR, Brazil (CEP/UEL 133/2012; CAAE 05505912.0.0000.5231). The study purpose and procedures were explained to all patients and written informed consent was obtained prior samples collection.

Between 2013 and 2018, 424 women were enrolled. They were recruited in public health services in Londrina—PR, Brazil. Biological materials [cervical secretion, blood samples or formalin-fixed-paraffin-embedded (FFPE) tumor tissues], were collected from participants who attended CC prevention programs at an ambulatory colposcopy facility of Intermunicipal Consortium of Health of the Middle Paranapanema, at University Hospital and Clinic Center of the State University of Londrina, at Basic Healthcare Units in Londrina—PR, Brazil and at Cancer Hospital of Londrina (CHL).

After sample collection, cytobrushes were stored in 2 mL TE buffer (10 mM Tris–HCl, 1 mM EDTA pH 8.0) at − 10 °C until analysis. Peripheral blood was drawn into sterile syringes containing EDTA as anticoagulant and stored at − 10 °C until analysis. The cervical FFPE tumor tissue samples were provided by CHL. A structured questionnaire was applied to all the patients to collect socio-demographic and sexual behavioral data. Participants were stratified based on the presence or absence of HPV DNA, as tested by PCR and based on SIL and CC diagnosis, as determined by cervical cytology. Clinical and pathological data of cervical cancer patients were available from CHL. Clinical staging was determined according to the International Federation of Gynecology and Obstetrics (FIGO) criteria. Pathological features analyzed included: histological classification and histopathological grade, according to World Health Organization (WHO) histological classification of tumors of the uterine cervix.

DNA extraction

Genomic DNA was obtained from: (a) cervical cytobrushes using DNAzol (Invitrogen™ Inc., Carlsbad, CA, USA), (b) peripheral blood using Biopur Mini Spin Plus Kit (Biometrix®, Curitiba—PR, Brazil), (c) FFPE tumor tissues using PureLink™ Genomic DNA Mini Kit (Invitrogen™, Carlsbad, CA, EUA). All extraction were performed according to the manufacturer’s instructions and stored at − 10 °C until use. DNA concentration was measured at 260 nm on a NanoDrop 2000c™ Spectrophotometer (Thermo Fisher Scientific, USA) and purity was assessed by A260/A280 ratio.

HPV detection

HPV was detected by PCR using the primers MY09 (5′-CGTCCMAARGGAWACTGATC-3′) and MY11 (5′-GCMCAGGGWCATAAYAATGG-3′), which are designed to amplify a conserved region of approximately 450 bp in the HPV L1 gene (GenBank Accession number: AJ236888). Reaction conditions were 190 nM of dNTPs, 500 nM of each primer, 2 mM of MgCl2, 1X of Buffer, approximately 80 ng of DNA and 1,25U of Taq polymerase (Invitrogen™), with an annealing temperature of 55 °C. β-globin gene amplification (268 bp) was performed as an internal control, using primers GH20 (5′-GAAGAGCCAAGGACAGGTAC-3′) and PC04 (5′-CAACTTCATCCACGTTCACC-3′) (Da Silva et al. 2012) under the same conditions of HPV PCR. Reactions without template DNA were used as negative control to test for contamination and DNA from HeLa cells, which are stably integrated with HPV18, was used as positive control. PCR products were electrophoresed on 10% polyacrylamide gel and stained with silver nitrate.

CXCL12 rs1801157 and CXCR4 rs2228014 polymorphisms detection and genotyping

Genomic DNA from peripheral blood and FFPE tumor tissue samples was used to amplify regions of the CXCL12 and CXCR4 genes. Primers used for the amplification of the CXCL12 gene were designed according to the nucleotide sequence deposited in GenBank which code is L36033. The primers forward 5′-CAGTCAACCTGGGCAAGCC-3′ and reverse:5′-CCTGAGAGTCCTTTTCGCGG-3′ were utilized to amplify the 3’UTR of CXCL12. For the amplification of the CXCR4 gene the following primers were used: 5′-AACTTCCTATGCAAGGCAGT-3′ (forward) and 5′-TATCTGTCATCTCTCACT-3′ (reverse). PCR reactions were conducted using 100 nM of dNTPs, 0.25 µM of each primer, 1.5 mM of MgCl2, 1X of Buffer and 1U of Taq polymerase for CXCL12 polymorphism. For CXCR4 was used 0.75 mM de MgCl2; 100 nM de dNTP, 0.2 μM of each primer, 1U of Taq polymerase and approximately 100 ng of DNA in both cases (Invitrogen™).

The CXCL12 and CXCR4 products amplification correspond to a 293 bp and 236 bp fragments, respectively. The enzymatic restriction was performed using PCR products in the presence of the restriction enzymes MspI (at 37 °C for 1 h) for CXCL12 and BccI (at 37 °C, for 1 h) for CXCR4 (New England Biolabs, Ipswich, MA, USA). For CXCL12, MspI cleaves the amplified fragment of DNA in the presence of an adenine, producing fragments of 100 bp and 193 bp and in the presence of a guanine, the fragment of 293 bp remains intact. For CXCR4, BccI cleaves in the presence of a thymine, generating fragments of 103 and 133 pb and in the presence of a cytosine, the fragment of 236 bp remains.

Statistical analysis

HPV infection’s frequency reported in this paper was compared to the overall prevalence of cervical HPV in Brazil through the one-sample general z test [16] and the exact Clopper-Pearson confidence interval for the observed proportion was calculated (Clopper-Pearson 1934). Pearson’s Chi-squared test of independence (χ2) followed by Bonferroni correction was employed in the analysis of contingency tables to identify differences in baseline features between HPV-infected and non-infected women, and those bearing SIL and CC. Allele frequency was calculated as [1(h + 2H)]/2 N, where h represents the heterozygous genotype, H is the homozygous genotype, and N is the sample size for each population. χ2 test followed by Bonferroni correction was employed in SNVs CXCL12 rs1801157 and CXCR4 rs2228014 distribution testing. Adjusted odds ratio (OR) with 95% confidence interval (95% CI) were estimated by a binary or multiple logistic regression in the forced entry method to test the association between genetic models of inheritance of the SNVs rs1801157 and rs2228014 and HPV infection, SIL and CC, as appropriate, adjusting for baseline factors that were associated with HPV infection, SIL and CC diagnosis with a significance level lower than 0.10 found in the χ2 test (in this case, just for the model adjustment purposes). These variables were included in a forward stepwise variable selection method. The gene–gene association analysis between the SNVs was also determined by logistic regression models. All tests were two-tailed, and data were analyzed in SPSS Statistics 22.0 software (SPSS Inc., Chicago, Illinois, USA), considering a significance level alpha set at 0.05.

Results

Patient baseline characteristics

Women (n = 424) were included and categorized as Control (187/56.2%), all of them HPV uninfected and negative for intraepithelial lesion and malignancy (NILM), SIL (squamous intraepithelial lesion, 63/14.8%) and CC (cervical cancer, 92/21.7%). We also grouped HPV-infected women (146/43.8%), formed by those with SIL or NILM  that were positive for HPV. Sociodemographic, sexual lifestyle and gynecological and obstetric data for Control, SIL and CC are summarized in Tables 1 and 2. To provide an epidemiological perspective, we compared the frequency of cervical HPV infection found in our cohort (43.8%) (i.e., composed by women from the north of the Paraná state (BRA)) with the overall cervical HPV prevalence in Brazil (25.41%), recently reported in a meta-analysis conducted by Colpani et al. (2020) and our results significantly differ from national data (z statistic: 7.70; p < 0.001; 95% CI of observed proportion: 38.40–49.31%).

Table 1.

Sociodemographic characteristics of patients and controls

Variable Control SIL CC p value*
n (%) n (%) n (%)
Knowledge about HPV 0.003
 No 35 (18.7) 20 (31.3) 16c (41.1)
 Have ever heard 104 (55.6) 30 (46.9) 16 (41.0)
 Yes 48 (25.7) 14 (21.8) 7 (17.9)
Knowledge about ways of HPV transmission 0.008
 No 88 (47.1) 34 (53.1) 29c (74.4)
 Yes 99 (52.9) 30 (46.9) 10 (25.6)
Age (years) < 0.001
 ≤ 24 10 (5.3) 13 (20.3) 1 (1.1)
 25–34 43 (23.0) 20 (31.3) 8 (8.7)
 35–44 46 (24.6) 14 (21.8) 27 (29.7)
 45–54 55 (29.4) 11 (17.2) 21 (23.1)
 ≥ 55 33 (17.7) 6 (9.4) 34c (37.4)
Monthly incomea 0.004
 < 1 minimum wage 83 (44.9) 36 (57.1) 26c (72.2)
1–3 minimum wages 95 (51.4) 27 (42.9) 8 (22.2)
 > 3 minimum wages 7 (3.8) 0 (0.0) 2 (5.6)
Smoking status 0.003
No 142 (75.9) 36 (56.3) 56 (62.2)

Yes

Former smoker

29 (15.5) 24c (37.4) 23 (25.6)
16 (8.6) 4 (6.3) 11 (12.2)
Educational levelb < 0.001
Incomplete elementary 58 (31.4) 26 (22.6) 62c (45.1)
Complete elementary 23 (12.4) 6 (14.5) 11 (19.1)
Incomplete secondary 26 (14.1) 10 (20.9) 4 (9.4)
Complete secondary 59 (31.9) 17 (31.0) 9 (13.9)
Incomplete higher education 6 (3.2) 3 (7.4) 0 (0.0)
Complete higher education 13 (7.0) 1 (3.6) 5 (12.5)
Marital status 0.001
Single 135 (72.2) 41c (21.8) 6 (6.6)
Married/Civil partner 16 (8.6) 38 (59.4) 54 (60.0)
Divorced 25 (13.4) 9 (14.1) 15 (16.7)
Widowed 11 (5.8) 3 (4.7) 15c (16.7)

*Analysis by two-sided Chi-square (Χ²) test and p < 0.05 set as significance level (bold) (SPSS Inc., Chicago, Illinois, USA). Control group is negative for HPV and intraepithelial malignancy; SIL squamous intraepithelial lesion; CC cervical cancer. Some categories did not complete the total of patients due to lack of data

aBased on Brazilian minimum wage (approximately U$ 206.00)

bBased on Brazilian educational system

c p<0.05, tested by Bonferroni post hoc test for multiple comparisons

Table 2.

Sexual behavioral and reproductive characteristics of patients and controls

Variable Control SIL CC p value*
n (%) n (%) n (%)
Contraceptive method: condom 0.215
 Yes 21 (11.3) 9 (14.1) 17 (19.4)
 No 165 (88.7) 55 (85.9) 72 (80.6)
Contraceptive method: hormonal 0.009
 Yes 54 (29.0) 26 (40.6) 42a (47.2)
 No 132 (71.0) 38 (59.4) 47 (52.8)
Number of pregnancies 0.001
 0 21 (11.2) 10 (15.6) 4 (4.4)
 1 30 (16.0) 8 (12.5) 12 (13.6)
 2 57 (30.5) 15 (23.4) 20 (22.0)
 3 41 (21.9) 16 (25.1) 17 (18.7)
 4 18 (9.6) 10 (15.6) 9 (9.4)
 ≥ 5 20 (10.8) 5 (7.8) 29a (31.9)
Abortion 0.477
 No 136 (79.1) 40 (72.7) 67 (73.6)
 Yes 36 (20.9) 15 (27.3) 24 (26.4)
Age at first sexual intercourse (years) 0.011
 ≤ 17 92 (49.5) 44a (69.8) 52 (61.2)
 ≥ 18 94 (50.5) 19 (30.2) 33 (38.8)
Age at menarche 0.511
 ≤ 11 42 (22.7) 18 (28.6) 9 (23.1)
 12 42 (22.7) 17 (27.0) 10 (25.6)
 13 46 (24.9) 16 (25.4) 6 (15.6)
 ≥ 14 55 (29.7) 12 (19.0) 14 (35.9)
Sexual partners during the lifetime 0.002
 1 74 (39.6) 8 (12.5) 14 (36.8)
 2–3 62 (33.2) 27 (42.2) 11 (28.9)
 ≥ 4 51 (27.3) 29a (45.3) 13 (34.3)
Prior exam  < 0.001
 No 7 (3.8) 0 (0.0) 27a (42.0)
 Yes 179 (96.2) 64 (100.0) 51 (58.0)

*Analysis by two-sided Chi-square (Χ²) test and p < 0.05 set as significance level (bold) (SPSS Inc., Chicago, Illinois, USA). Control negative for HPV and intraepithelial malignancy; SIL squamous intraepithelial lesion; CC cervical cancer. Some categories did not complete the total of patients due to lack of data

ap < 0.05, tested by Bonferroni post hoc test for multiple comparisons

A higher frequency of SIL and CC was observed in women with no knowledge about HPV and its ways of transmission (p = 0.03 and p = 0.008, respectively), 55 years old or more (p < 0.001), receiving < 1 minimum wage (p = 0.004), smokers (p = 0.005), women with incomplete elementary education (p < 0.001) and single (p = 0.001) (Table 1). Regarding the sexual lifestyle and gynecological and obstetric data, a higher frequency of SIL and CC was found in women who use hormonal contraceptive (p = 0.009), who have had sex with or under 17 years old (p = 0.011), had four or more sexual partners during lifetime (p = 0.005), who had five or more number of pregnancies and women without prior cervical exam (p = 0.001) (Table 2).

CXCL12 and CXCR4 SNVs distribution among diagnostic groups

We compared the allelic frequency of CXCL12 rs1801157 and CXCR4 rs2228014 with genomic big data from the Trans-Omics for Precision Medicine (TOPMed) Program, which used Whole-Genome Sequencing (WGS) to sequence approximately 155.000 genomes of participants from > 80 different studies with varying designs, and data are publicly available at the National Center for Biotechnology Information site (https://www.ncbi.nlm.nih.gov/). Applying a general z test for proportion comparisons, we found that the allele distribution of CXCL12 rs1801157 and CXCR4 rs2228014 was consistent with that reported by the TOPMed Program (Fig. 1).

Fig. 1.

Fig. 1

Allelic distribution of the CXCL12 rs1801157 and CXCR4 rs2228014 SNVs in the present study compared to genomic big data from Trans-Omics for Precision Medicine (TOPMed) Program. CXCL12 rs1801157 allelic frequency of Okuyama et al. vs. TOPMed: z-statistic = 1.639; p = 0.101. CXCR4 rs2228014 allelic frequency of Okuyama et al. vs. TOPMed: z-statistic = 1.879; p = 0.060

CXCL12 rs1801157 and CXCR4 rs2228014 allelic and genotype distributions and p values for the χ2 test are shown in Table 3. Significant association was observed between HPV infection, SIL or CC development and all the CXCL12 rs1801157 genetic models tested (codominant, dominant, recessive and allelic). For CXCR4 rs2228014, the following models were associated to HPV infection, SIL and CC development: codominant, dominant and allelic.

Table 3.

Genotype and allele distribution considering HPV infection status, SIL diagnosis, cancer and inheritance models testing

SNVs Control HPV infected p value Control SIL CC p value*
CXCL12
 Codominant model < 0.001 < 0.001
  GG 139 (74.3) 69 (47.3) 139 (74.3) 32 (50.0) 58 (63.7)
  GA 45 (23.6) 58*(39.7) 45 (24.1) 18 (28.1) 23 (25.3)
  AA 3 (2.1) 19*(13.0) 3 (1.6) 14* (21.9) 10* (11.0)
 Dominant model < 0.001 0.001
  GG 139 (74.3) 69 (47.3) 139 (74.3) 32 (50.0) 58 (63.7)
  GA + AA 48 (25.7) 77* (52.7) 48 (25.7) 32 (50.0) 33 (36.3)
 Recessive model < 0.001 < 0.001
  AA 3 (1.6) 19* (13.0) 3 (1.6) 14* (21.9) 10* (11.0)
  GG + GA 184 (98.4) 127 (87.0) 184 (98.4) 50 (78.1) 81 (89.0)
 Alleles < 0.001 < 0.001
  Allele G 323 (86.3) 196 (67.1) 323 (86.3) 82 (64.06) 119 (73.46)
  Allele A 51 (16.7) 96* (32.9) 51 (16.7) 46 (35.94) 43 (26.54)
CXCR4
 Codominant model 0.064 0.010
  CC 163 (87.2) 114 (78.1) 225 (83.6) 52 (81.3) 64 (70.3)
  CT 22 (11.7) 27 (18.5) 37 (13.8) 12 (18.7) 24* (26.4)
  TT 2 (1.1) 5 (3.4) 7 (2.6) 0 (0.0) 3 (3.3)
 Dominant model 0.028 0.003
  CC 163 (86.9) 14 (78.1) 225 (83.6) 52 (81.2) 64 (70.3)
  CT + TT 24 (13.1) 32* (21.9) 44 (16.4) 12 (18.8) 27* (29.7)
 Recessive model 0.137 0.194
  TT 2 (1.1) 5 (3.4) 7 (2.6) 0 (0.0) 3 (3.3)
  CC + CT 185 (98.9) 141 (96.6) 262 (97.4) 64 (100.0) 88 (96.7)
 Alleles 0.012 < 0.001
  Allele C 348 (93.0) 225 (87.3) 348 (93.0) 116* (90.6) 152 (83.5)
  Allele T 26 (7.0) 37* (12.7) 26 (7.0) 12* (9.4) 30* (16.5)

Data presented as absolutely number and percentage

SNV single nucleotide variant, Control negative for HPV and intraepithelial lesion and malignancy, SIL squamous intraepithelial lesion, CC cervical cancer

*Two-sided χ2 test, with p < 0.05 considered significant (bold)

Multivariate logistic models of association between CXCL12 and CXCR4 SNVs and SIL/CC diagnosis

When the models were adjusted by age and partners during lifetime in the binary logistic regression employing CXCL12 rs1801157 or CXCR4 rs2228014 genetic models as explanatory variables, the following models were independently associated with HPV infection: CXCL12 rs1801157 codominants GA and AA; dominant GA+AA; recessive AA; and CXCR4 rs2228014 codominant CT and dominant CT+TT (Table 4).

Table 4.

Case–control multivariate analysis considering HPV infection and SIL/CC inheritance models

Models Case groups [OR (CI 95%)]
HPV infectiona SILb CCb
CXCL12
 Codominant model
  GG 1.0 1.0 1.0
  GA 3.006** (1.77–5.08) 1.054 (0.53–2.07) 0.739 (0.28–1.89)
  AA 18.027** (4.87–66.71) 8.857* (3.24–24.20) 5.031* (1.48–17.00)
 Dominant model
  GG 1.0 1.0 1.0
  GA + A/A 3.841* (2.32–6.35) 1.960 (1.10–3.47) 1.225 (0.56–2.83)
 Recessive model
  GG + GA 1.0 1.0 1.0
  AA 12.081* (3.33–43.82) 9.425* (3.26–23.14) 5.962* (1.89–18.72)
CXCR4
 Codominant model
  CC 1.0 1.0 1.0
  CT 2.005* (1.03–3.87) 0.28 (0.01 – 5.09)c 4.755* (2.09–10.81)
  TT 5.287 (0.93–2.93) 1.340 (0.62–2.85) 2.853 (0.50–26.21)
 Dominant model
  CC 1.0 1.0 1.0
  CT + TT 2.254* (2.25–4.20) 1.228 (0.57–2.63) 4.544** (1.96–11.11)
 Recessive model
  CC + CT 1.0 1.0 1.0
  TT 4.716 (0.83–26.56) 0.27 (0.02–4.71)C 2.645 (0.44–15.76)

*p < 0.05. **p < 0.01 (bold values indicate statistical significance); SIL squamous intraepithelial lesion, CC cervical cancer

aOR (odds ratio) and CI (confidence interval) 95% estimated by binary logistic regression with “Control group (negative for HPV and intraepithelial lesion and malignancy)” as reference and adjusted by age and sexual partners during lifetime

bOR (odds ratio) and CI (confidence interval) 95% estimated by multinomial logistic regression with “Control group” as reference and adjusted by age and sexual partners during lifetime

cCrude OR with 95% CI was calculated using Haldane’s modification, which adds 0.5 in all cells to accommodate possible zero counts

The association case–control analysis between CXCL12 rs1801157 or CXCR4 rs2228014 and SIL/CC adjusting by age, monthly income and partners during lifetime in the multiple logistic regression, demonstrated that the following genetic models were independently associated to SIL/CC development: CXCL12 codominant AA and recessive AA. For CXCR4 codominant CT and dominant CT+TT presented themselves independently associated to cervical cancer (Table 4).

Impact of interaction between CXCL12 and CXCR4 SNVs on HPV infection, SIL and CC

Through binary logistic regression adjusted for age and sexual partners during lifetime, significant interactions for HPV infection were found for the following cases: CXCL12 GA + CXCR4 CT (codominant model); CXCL12 GA + AA + CXCR4 CT + TT. For SIL and CC, multinomial logistic regression adjusted for age, monthly income and sexual partners during lifetime was performed. Significant susceptibility for SIL was evidenced by the interactions CXCL12 GA + AA + CXCR4 CC + CT. For cervical cancer diagnosis, the significant interactions were CXCL12 AA + CXCR4 CT, CXCL12 GA + AA + CXCR4 CT + TT and CXCL12 GA + AA + CXCR4 CT (Table 5).

Table 5.

CXCL12 rs1801157 and CXCR4 rs2228014 single-nucleotide variants interaction models for HPV and SIL/CC

Modelsa,b  Case groups [OR (CI 95%)]
HPV infecteda SILd CCd
CXCL12 GA + CXCR4 CT 7.345* (2.12–25.40)
CXCL12 AA + CXCR4 CT 7.634* (2.580–22.571)
CXCL12 GA + AA + CXCR4 CT + TT 10.138** (3.46–29.65) 2.068* (1.123–3.811) 4.207* (1.641–10.753)
CXCL12 GA + AA + CXCR4 CT 3.021* (1.382–10.570)

*p < 0.05 **p < 0.001; SIL squamous intraepithelial lesion, CC cervical cancer

a OR (odds ratio) and CI (confidence interval) 95% obtained through binary logistic regression with major alleles as reference and adjusted by age, monthly income, sexual partners during lifetime

bNote that interaction analyses between only homozygous genotypes were not performed because none of the patients co-inherited the two SNVs in homozygosity

cAn exploratory analysis of heterozygous co-inheritance was carried out, in which all patients bearing any of the heterozygous genotypes for both SNVs were grouped

dOR (odds ratio) and CI (confidence interval) 95% estimated by multinomial logistic regression with “SIL group” as reference and adjusted by age, monthly income and sexual partners during lifetime

Discussion

In this study, we provided novel information about the effect of single-nucleotide genetic variants rs1801157 of CXCL12 and rs2228014 of CXCR4 on the HPV infection, SIL and CC susceptibility. Our data indicate that CXCL12 rs1801157 AA genotype is associated with the susceptibility of developing SIL and CC. A previous study from our group had already demonstrated that the CXCL12 genotype AA and allele A were associated to HPV infection susceptibility (Okuyama et al. 2018). However, previous studies did not analyze the possible association with HPV infection but verified that this SNV is not associated with CC (Rozask et al. 2015; Maley et al. 2009; Tee et al. 2012). Considering CXCR4 rs2228014 we demonstrated, for the first time in the literature, that women who were allele T carriers presented a significant increased risk of HPV infection and CC development.

Tumors are dynamic tissue masses, so requiring continuous exposure to the host cells, nurturing them into pave a path for tumor growth and metastasis. CXCL12/CXCR4 is the key signaling for such aim. Gathering knowledge about the activity within this axis would deepen insight into the utmost importance this signaling taken to attract and cross-connect multiple cells within the tumor microenvironment. A large number of studies showed that individual genetic factors can affect the incidence and progression of cancer. Among genetic factors, SNV located in the promoter or coding region of gene expression regulation have important functions (Deng et al. 2018; Mortezaee 2020).

In the present study, the SNVs CXCL12 rs1801157, located in 3′UTR region and CXCR4 rs2228014, a synonymous SNV, were investigated. Mutations in the 3′UTR are involved in many diseases because they affect gene expression. As a regulatory region, the 3′UTR is indispensable for normal gene expression. Therefore, polymorphisms in the 3′UTR can alter miRNA binding sites and affect mRNA degradation and protein translation (Sethupathy and Collins 2008). Whilst synonymous SNVs can also accelerate or decelerate the speed at which the ribosome moves along the mRNA, thus changing the dynamics of translation, and the subsequent protein structure and function. They may also result in different mRNA secondary structures and protein secondary structures such as α helix and β folding (Deng et al. 2016).

SNVs interaction analysis was performed to evaluate possible significant combination between CXCL12 rs1801157 and CXCR4 rs2228014. It was observed that among the SNVs interactions, models with the presence of genotypes AA and CT from CXCL12 and CXCR4 SNVs, respectively, strongly indicated a greater risk of developing SIL and CC. There are no previous studies evaluating the interaction between both SNVs and HPV, SIL and CC. Data so far have shown a significant interaction for oral squamous cell carcinoma (OSCC) in the genotypic combination of CXCL12 and CXCR4 SNVs, revealing that CT + TT genotypes exerted an increased risk in patients with one or two risk habits (tobacco smoking and alcohol consumption) (Huang et al. 2019). The axis CXCL12/CXCR4 is extensively studied in breast cancer (BC). Lin et al. (2009) evidenced a genetic interaction between CXCL12 and CXCR4 SNVs in which wild type homozygotes reduced BC susceptibility, but failed in finding any association of both SNVs in isolation. These data are in accordance with Guembarovski et al. (2018) which also observed no SNV association in isolation but showed a significant increased susceptibility in the interaction between heterozygous genotypes for both single-nucleotide variants. These data were also demonstrated by Fu et al. (2016) using an analysis called multifactor dimensionality reduction (MDR), a bioinformatic technique to provide a non-linear model associated with disease.

Keratinocytes immortalized by oncogenic HPV16 or HPV18 upregulate CXCL12 and CXCR4 in a manner dependent upon expression of E6 and E7. Autocrine signaling activated by CXCL12-engagement of its receptor could control responses as motility and survival of the infected cells, and could also increase proliferation and migration of adjacent keratinocytes. The paracrine activation would enhance cell permissiveness to viral genome replication and production of the E6 and E7 proteins. Consequently, E6 and E7 expressed in the suprabasal layers would then upregulate CXCL12 and CXCR4, which further enhance cell proliferation and viral DNA replication, possibly explaining the basis of HPV associated oncogenesis (De Oliveira et al. 2011). Furthermore, CXCL12 proximal promoter in its 5′flanking and 5′UTR region contains six protein 1 transcription factor (Sp1) binding sites, and Sp1 transcription factor seems to be the major positive regulator of CXCL12 expression. After basal cells HPV infection, E6 and E7 oncoproteins are expressed, and may bind to Sp1. The E6-Sp1 and E7-Sp1 complexes can migrate into the nucleus and probably induce the CXCL12 gene expression (García-Moruja et al. 2005). Considering CXCR4 SNV, the site of the mutation is a target of RNA polymerase II and may alter motifs for SOX, RXRA and NRSF transcription factors, what has been associated to a plethora of cancers (Deng et al. 2018; Halstead et al. 2017; Kumar et al. 2019).

Moreover, SNVs can affect proteins levels. For Chang et al. (2009), expression of CXCL12 rs1801157 mRNA in GA/AA fibroblasts was three times that in GG fibroblasts. In prostate cancer patients, CXCL12 rs1801157 allele A carriers presented a protein expression significantly higher than GG genotype carriers. Among the CXCL12 allele A carriers the protein expression was also significantly higher compared to those with the GG genotype (Hirata et al. 2007). CXCR4 mRNA relative expression did not differ regarding the presence or absence of T allele and even though the expression was higher in BC patients, there was no correlation with patient clinicopathological features (Okuyama et al. 2015). CXCL12 mRNA expression in BC demonstrated that allele A carrying patients presented smaller expression compared to GG patients and the ones with positive estrogen receptor with allele A showed a significantly lower expression of CXCL12 in peripheral blood than GG hormone positive patients (De Oliveira et al. 2011).

The small number of low-grade squamous intraepithelial lesion (LSIL) patients made an analysis stratified in lesions levels difficult: LSIL and HSIL (high-grade squamous intraepithelial lesion), however, a study strength is the robust statistical analysis, controlling the potential confounding factors, minimizing the effects of possible biases; Currently we are conducting analyses to better elucidate the influence of CXCL12 rs1801157 and CXCR4 rs2228014 SNVs on gene expression and protein levels in cervical cancer development. To the best of our knowledge, this is the first time that CXCR4 rs2228014 is associated to the HPV infection susceptibility and CC. In this work, we also demonstrated that CXCL12 rs1801157 is strongly associated to SIL and CC. An expressive number of patients and a strong interaction analysis between CXCL12 rs1801157 and CXCR4 rs2228014 showed that patients carriers of allele A of CXCL12 and allele T of CXCR4 simultaneously, are more susceptible to HPV infection, squamous intraepithelial lesions and cervical cancer, highlighting these variants in the CXCL12/CXCR4 axis as promising candidates to susceptibility and prognosis molecular markers in HPV infection and cervical cancer development.

Acknowledgements

All the authors would like to thank the Intermunicipal Consortium of Health of the Middle Paranapanema, Londrina Cancer Hospital, Clinic center of the Londrina State University, Experimental Pathology Postgraduate Program. Fundação Araucária, CAPES—Coordenação de Aperfeiçoamento de Pessoal de Nível Superior and CNPq—Conselho Nacional de Desenvolvimento Científico e Tecnológico.

Author contributions

NCMO participated in study design and acquisition of data, experimental procedures, performed statistical analysis and interpretation, and drafted the manuscript. FCS, participated in sample collect and medical records, DNA extraction, statistical analysis. KPT participated in study design, acquisition of data and statistical analysis. AE, participated in sample collect and medical records. RLG critically revised the data. JOCF made possible sample and data collection at Londrina Cancer Hospital. MAEW participated in the design study. KBO participated in the design of the study, interpretation of data and given final approval of the version to be published. All authors read and approved the final manuscript.

Funding

This work was supported by Fundação Araucária—Programa Pesquisa para o SUS (34935.406.36850.19112012) and CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior) financial code 001.

Availability of data and material

All data generated or analyzed during the current study are included in this published article.

Declarations

Conflict of interest

The authors declare that they have no competing interests.

Ethics approval and consent to participate

This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by Institutional Ethics Committee Involving Humans at State University of Londrina, Londrina-PR, Brazil (CEP/UEL 133/2012; CAAE 05505912.0.0000.5231).

Consent for publication

Not applicable.

Footnotes

Publisher's Note

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

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Data Availability Statement

All data generated or analyzed during the current study are included in this published article.


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