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Molecular and Clinical Oncology logoLink to Molecular and Clinical Oncology
. 2020 Nov 26;14(1):15. doi: 10.3892/mco.2020.2177

Relationship between MUTYH, OGG1 and BRCA1 mutations and mRNA expression in breast and ovarian cancer predisposition

Carmelo Moscatello 1, Marta Di Nicola 1, Serena Veschi 2, Patrizia Di Gregorio 3, Ettore Cianchetti 1, Liborio Stuppia 4, Pasquale Battista 1, Alessandro Cama 2, Maria Cristina Curia 1, Gitana Maria Aceto 1,
PMCID: PMC7725208  PMID: 33343895

Abstract

The aetiology of breast and ovarian cancer (BC/OC) is multi-factorial. At present, the involvement of base excision repair (BER) glycosylases (MUTYH and OGG1) in BC/OC predisposition is controversial. The present study investigated whether germline mutation status and mRNA expression of two BER genes, MUTHY and OGG1, were correlated with BRCA1 in 59 patients with BC/OC and 50 matched population controls. In addition, to evaluate the relationship between MUTYH, OGG1 and BRCA1, their possible mutual modulation and correlation among mutational spectrum, gene expression and demographic characteristics were evaluated. The results identified 18 MUTYH and OGG1 variants, of which 4 were novel (2 MUTYH and 2 OGG1) in 44 of the 59 patients. In addition, two pathogenic mutations were identified: OGG1 p.Arg46Gln, detected in a patient with BC and a family history of cancer, and MUTYH p.Val234Gly in a patient with OC, also with a family history of cancer. A significant reduced transcript expression in MUTYH was observed (P=0.033) in cases, and in association with the presence of rare variants in the same gene (P=0.030). A significant correlation in the expression of the two BER genes was observed in cases (P=0.004), whereas OGG1 and BRCA1 was significantly correlated in cases (P=0.001) compared with controls (P=0.010). The results of the present study indicated that the relationship among mutational spectrum, gene expression and demographic characteristics may improve the genetic diagnosis and primary prevention of at-risk individuals belonging to families with reduced mRNA expression, regardless of mutation presence.

Keywords: breast cancer, ovarian cancer, prevention, mutation, gene expression, BRCA1, MUTYH, OGG1, base excision repair, oxidative stress

Introduction

Breast cancer (BC) is the second most common cancer worldwide (1), and the first cause of cancer death among women in across all age groups (1). The etiology of BC is multifactorial, and both endogenous and environmental factors are implicated in its pathogenesis (2).

The risk of BC and/or ovarian cancer (OC) is increased in carriers of deleterious mutations in BRCA1 and BRCA2, these two high penetrance genes encode for proteins involved in DNA damage response and repair (3). Among endogenous factors, oxidative stress (OS) produces potentially mutagenic reactive oxygen species (ROS) and can play an important role in breast carcinogenesis (4); since breast tissue can be particularly exposed to OS due to estrogen metabolism and hormonal status (5-9). Considering that DNA damage may contribute to breast cancer development, an efficient repair of oxidative lesions is expected to protect mammary cells from neoplastic transformation. Among the genes involved in the response and repair of DNA damage, BRCA1 has been shown to have a decisive role, since it induces the gene expression of the antioxidant response and thus protecting cells from OS (10). In particular, BRCA1 stimulates the activity of key base excision repair (BER) enzymes, including 8-oxoguanine DNA glycosylase (OGG1), primarily by increasing transcription of BER enzymes (10). The BER pathway is responsible for the repair of many DNA nucleobases modified, indeed its action is essential for the maintenance of genetic integrity and stability (11) and in playing a crucial role in repair of DNA damage induced by ROS (12). BER glycosylases may provide a genome surveillance mechanism and may act as molecular sensors that induce apoptosis in response to extensive DNA damage through interaction of complex pathways (13-15). A deficiency and/or inactivity of the BER DNA glycosylase enzymes can induce deleterious outcomes in the cells driving the onset of various tumors (11). In particular, OGG1 (MIM 601982) and MUTYH (MIM 604933) remove DNA oxidative purine lesions and seem involved in the regulation of cell-cycle progression and cell division under OS (16,17). In fact, low activity and/or reduced expression of MUTYH and OGG1 enzymes may result in DNA repair impairment and failure to induce apoptosis in response to oxidative damage, resulting in survival of cells with oncogenic mutations (12,18,19). In previous studies the contribution to BC risk due to MUTYH seems to be limited or not relevant, although in most researches only specific mutations of MUTYH were considered, which had previously been characterized in families with gastrointestinal polyposis (20-22). Also the OGG1 contribution to BC risk has been significantly associated with the presence of some polymorphic nucleotide markers (SNPs) (21,23-25). However, these associations may have been influenced by the characteristics of the population examined or by the specificity of each germinal variant considered (21-24). To date, the contribution to BC or OC predisposition due to the reduced expression of these genes has not yet been considered in humans. Some doubts remain about the genetic susceptibility related to low penetrance genes and their expression, which could contribute to the onset of BC and/or OC (BC/OC) in people belonging to families with tumor phenotypes other than BC/OC (e.g. pancreas, thyroid and colon) or in patients with early onset of cancer and without family history (26). The patients with these characteristics and without germline mutations in high-penetrance BRCA1/2 genes might be a good model to clarify some aspects that contribute to the multifactorial etiology of BC and OC.

In light of the above, it can be assumed that genetic variability related to low expression in enzymes that protect cellular DNA from oxidative damage, causing genetic instability, may favor the onset of BC and OC.

In the present study we investigated MUTYH, OGG1 germline mutations and mRNA expression levels, in the peripheral blood mononuclear cell (PBMC) from patients with and without mutations and compared the gene expression with control individuals. In addition, to evaluate the relationship of these BER glycosylases (MUTYH, OGG1) and BRCA1 pathway, we investigated the possible mutual modulation. This exploratory study on correlation among mutational spectrum, gene expression and demographic characteristics, could improve the genetic diagnosis performing predictive testing of at-risk individuals belonging to families with reduced mRNA expression regardless of the mutation presence. The identification of carriers with reduced mRNA expression may be useful for improving clinical management of patients.

Materials and methods

Patients and nucleic acid preparation

The study was conducted on a series of BC/OC unrelated Italian patients previously analyzed for BRCA1/2 as a public health service between 2000 and 2006 from Medical Genetic Service of University ‘G. d'Annunzio’ of Chieti (27,28). The study was performed after completion of the standardized routine diagnostic investigations. Familiar pedigrees of the cases were not updated during the course of the study and only the original pedigrees were considered. DNA samples were obtained from 59 patients and RNA from 51. We also analysed 120 consecutive population healthy blood donors. This population was used to assess the frequency of rare variants in gDNA analyses. RNA from 50 age and sex matched control individuals was employed to analyze gene expression and 16 of these women reported positive family history for cancer. All patients and control individuals provided written informed consent and the study was approved by the Ethics Committee of the University ‘G. d'Annunzio’ of Chieti.

Nucleic acid extraction from peripheral blood mononuclear cells (PBMCs) and synthesis of complementary DNA (cDNA) from 1.5 µg of total RNA were performed as previously described (29).

Sequence variants analysis

The coding sequence and intron-exon borders of MUTYH (GeneID: 4595; MIM 604933; Gene Bank accession number: NM _12222.1) and OGG1 (GeneID: 4968; MIM 601982; Gene Bank accession number: NM_016821) were analyzed in patients and controls by denaturing high performance liquid chromatography (DHPLC) after PCR amplification (Wave 1100, Transgenomic Inc.), followed by direct sequencing of samples showing unique profiles.

Primer sequences for MUTYH genes were based on those reported previously (29), whereas, primers for OGG1 are listed in supplementary Table SI.

To estimate the frequency of novel mutations we examined 240 chromosomes from control individuals, from the same geographical area, with no personal history of BC/OC and colorectal cancer (CC). All mutations were confirmed by sequencing of independent PCRs. The nomenclature of sequence variants follows the guidelines proposed by the Human Genome Variation Society (HGVS).

ClinVar-NCBI database (30) was employed to evaluate expected clinical significance of sequence variants. This tool aggregates information about genomic variation and its relationship to human health (31). Furthermore, novel molecular alterations potentially causative of disease were tested by MutPred2 (http://mutpred.mutdb.org) that predict pathogenicity of amino acid substitutions (32).

Reverse transcription-quantitative PCR (RT-qPCR)

The levels of BRCA1, MUTYH and OGG1 mRNA expression in peripheral blood mononuclear cells were investigated by TaqMan RT-qPCR analysis using StepOne™ 2.0 (Applied Biosystems). mRNA amounts of the target genes (BRCA1, MUTYH, OGG1, #Hs01556193_m1, #Hs01014856_m1, #Hs00213454_m1, respectively, Applied Biosystems) were normalized to the endogenous housekeeping gene GUSB (#Hs99999908_m1, Applied Biosystems) and analyzed as previously reported (29).

Statistical analysis

Continuous variables were summarized as mean and standard deviation (SD), or median and interquartile range (IQR). Categorical variables were summarized as frequency and percentages. The Student's t-test for unpaired data was performed to test the difference between the means of age at sampling in different groups. The Mann-Whitney U tests performed to evaluate differences in gene expression levels among groups (51 cases and 43 controls without cancer family history). To assess for a possible correlation between the three genes, Spearman's ρ correlation coefficient was evaluated. All P-values are two-sided and a P-value of <0.05 was considered significant. All analyses were performed using SPSS (version 20) software.

Results

Germline mutational analysis

Coding regions and flanking introns of MUTYH and OGG1 were analyzed for germline mutations in 59 cases (51-BC; 7-OC; 1-BOC). Forty-seven referred cancer family history, of these 29 showed direct transmission of BC/OC, and 12 were early onset BC/OC without family history. Cases carrying BRCA1 deleterious mutations and neutral missense variants with minor allele frequency (MAF) <0.05 were previously published (27,28) and listed in Table SII.

Overall, germline mutational analysis identified 11 variants in MUTYH and 7 in OGG1 in 44 patients, including 4 novel variants: 2 of MUTYH (p.Val234Gly and p.Val390Leu) and 2 of OGG1 (p.Gln128Gln and p.Ala223Thr) (Table I).

Table I.

MUTYH and OGG1 germline variants identified in 59 patients with breast and ovarian cancer.

A, MUTYH
  Frequency n (%)  
Nucleotide change(s) Effect SNP Clinical significancea Cases (n=59) Controls (n=120) Word population MAFb Mutpred value
c.36+11C>T - rs2275602 VUS 1 (1.7) 0 (0) 0.01 -
c.53C>T Pro18Leu rs79777494 VUS 1 (1.7) 0 (0) <0.01 -
c.64G>A Val22Met rs3219484 N 2 (3.4) - 0.02 -
c.74G>A Gly25Asp rs75321043 VUS 1 (1.7) 0 (0) <0.01 -
c.157+30A>G - rs3219485 N 2 (3.4) - 0.01 -
c.504+35A>G - rs3219487 N 8 (13.6) - 0.06 -
c.701T>A Val234Gly - D/Novel 1 (1.7) 0 (0) - 0.798
c.1014 G>C Gln338His rs3219489 N 19(32) - 0.31 -
c.1171 G>T Val390Leu - Novel 1 (1.7) 0 (0) - 0.335
c.1431G>C Thr477Thr rs74318065 N 1 (1.7) 0 (0) 0.01 -
c.1477-40C>G - rs3219493 N 5 (8.5) - 0.06 -
B, OGG1
  Frequency n (%)  
Nucleotide change(s) Effect SNP Clinical significancea Cases (n=59) Controls (n=120) Word population MAFb Mutpred value
c.137 G>A Arg46Gln rs104893751 D 1 (1.7) 0 (0) <0.01 -
c.253G>A Ala85Thr rs17050550 VUS 1 (1.7) 0 (0) <0.01 -
c.384 G>A Gln128Gln - Novel 1 (1.7) 0 (0) - -
c.667G>A Ala223Thr - Novel 1 (1.7) 0 (0) - 0.095
c.899G>A Gly300Glu rs548981683 VUS 1 (1.7) 0 (0) <0.01 -
c.923 G>A Gly308Glu rs113561019 VUS 1 (1.7) 0 (0) <0.01 -
c.977 C>G Ser326Cys rs1052133 N 23(39) - 0.30 -

aResults based on the ClinVar-NCBI database.

bResults based on Ensembl genome browser 9. The pathogenicity of novel missense mutations was predicted using MutPred2 with a cut-off value of 0.61. D, deleterious; N, most likely neutral; VUS, variant of unknown clinical significance; SNP, single polymorphic nucleotide; MAF, minor allele frequency.

In particular, MUTYH analysis identified the following variants: 6 missense (p.Pro18Leu, p.Val22Met, p.Gly25Asp, p.Val234Gly, p.Gln338His, p.Val390Leu), 4 located in the untranslated region (c.36+11C>T, c.157+30A>G, c.504+35A>G, c.1477-40C>G) and 1 synonymous (p.Thr477Thr) (Table I). The p.Val234Gly novel variant was predicted to be deleterious (MutPred2 score: 0.798; cut-off: 0.611) and occurred in an OC affected patient (B48) referring family history for this tumor (Table II).

Table II.

Clinical and molecular characteristics of cases carrying rare MUTYH and OGG1 variants.

Case code Age range at diagnosis (years) MUTYH variant OGG1 variant Cancer type Direct BC/OC transmission Family history
B12 30-35 - Gly197Glu BC No -
B17 25-30 - Gly300Glu BC No -
B28 40-45 - Gln128Gln BC No -
B48 40-45 Val234Glyb - OC No OC
B58 40-45 - Arg46Glna BC Yes BC, Leu
B62 30-35 Val390Leu - OC Yes OC
B66 55-60 c.36 + 11 C>T - BC/TC No BC, CC
    Pro18Leu        
    Gly25Asp        
B75 45-50 - Ala85Thr BC No BC, OC
B105c 45-50 - Ala223Thr BC/OC Yes OC

aPathogenic variants.

bPutative pathogenic variants predicted by MutPred2 software;

cBRCA1 mutation carrier (Glu1373Ter). Novel variants are in bold. BC, breast cancer; OC, ovarian cancer; TC, thyroid cancer; CC, colon cancer; Leu, leukemia.

Notably, 2 missense (Pro18Leu and Gly25Asp) mutations and 1 intronic variant (c.36+11C>T) were identified in the same case (B66), a patient affected by breast and thyroid cancer, who referred family history for BC and colon cancer (CC) (Table II). The MUTYH frequent coding SNP rs3219489 (p.Gln338His) was detected in 19 of the 59 patients (32%).

Analysis of OGG1 identified the following variants (Table I): 1 novel (p.Ala223Thr) missense, not predicted to be deleterious (MutPred2 score: 0.095; cut-off: 0.61), 1 novel synonymous (p.Gln128Gln), 1 missense (p.Arg46Gln) previously reported as deleterious in ClinVar-NCBI, 3 missense previously reported as VUS in ClinVar-NCBI (p.Ala85Thr; Gly300Glu; Gly308Glu) and 1 frequent coding SNP rs.1052133 (p.Ser326Cys) of uncertain significance. The OGG1 deleterious variant p.Arg46Gln, located in a highly conserved region, was previously demonstrated to cause splicing donor inactivation (33). This pathogenic variant was found in case B58 diagnosed with breast cancer. She referred family history for BC (sister) and leukaemia (brother) (Table II). Unfortunately, we could not verify segregation of this OGG1 variant in OC affected siblings since DNA samples from these patients were not available. The three OC cases carrying novel variants reported family history of this tumor (Table II).

Additional MUTYH and OGG1 variants considered neutral in ClinVar-NCBI are reported in Table I. The frequency of novel mutations and rare variants (MAF <0.01) of MUTYH and OGG1 detected in patients was analyzed in 120 population controls (63 males and 57 females) from the same geographical area (mean age, 46.1±10.4 years) but none of them were detected (expected frequency CI 95%, 0-1.57%) (Table I).

Gene expression analysis

Gene expression by qRT-PCR was analyzed in 51 patients (mean age, 48.60±12.88) and in 50 age and sex matched control individuals (mean age, 48.11±7.35). Demographic and clinical characteristics of patients undergoing gene expression analysis are shown in Table III.

Table III.

Demographic characteristics of cases employed for gene expression analysis (n=51).

Variable Value
Age at diagnosis, years (mean±SD) 45.2±11.9
Age at sampling, years (mean±SD) 48.6±12.9
Menopause, n (%) 26 (51.0)
Cigarette smoking, n (%) 13 (25.5)
Type of cancer, n (%)  
     BC 47 (92.2)
     OC 4 (7.8)
Family history n (%)  
     BC/OC  
     Direct 28 (54.9)
     Indirect 10 (19.6)
     Other cancers  
     Direct 16 (31.4)
     Indirect 5 (9.8)

BC, breast cancer; OC, ovarian cancer.

Forty-seven patients reported BC and 4 patients OC, 28 (54.9%) had a first-degree family member with BC/OC. Twenty-six patients (51%) at the time of sampling were in menopause and 13 (25.5%) were smokers (Table III).

We evaluated the association among BRCA1, MUTYH and OGG1 mRNA expression levels, variant carrier status (MAF<0.05) and clinical characteristics.

The presence of MUTYH variants resulted associated with reduced transcript expression of the same gene [0.34 (0.29-0.59)] in carriers vs. [0.66 (0.46-2.38)] non-carriers (P=0.030). Incidentally, the most frequent SNPs rs3219489 (p.Gln338His) in MUTYH and rs1052133 in OGG1 (p.Ser326Cys) with a Frequency in our population of 0.32 and 0.39 respectively, did not affect mRNA expression (data not shown) according to previous studies (33,34). The rare variants of BRCA1, reported in Table SII, seemed not affect significantly its own expression.

BC family history (either direct or indirect) did not influence the expression of the three genes; while the direct family history of cancer, other than BC, was significantly associated with the increased expression of OGG1 [from 0.81 (0.27-2.90) to 3.58 (0.83-5.11)] (P=0.030). Considering the time lag from diagnosis to blood sampling, no significant association was observed between gene expression levels and this period of time.

Correlation of MUTYH, OGG1 and BRCA1 genes expression

The Mann-Whitney U tests was performed to compare differences in gene expression levels between groups of controls without family history of cancer (n=43) and cases (n=51). BER genes showed lower expression levels in cases [0.58 (0.32-1.72); 0.93 (0.48-4.36)] than controls without cancer family history [1.04 (0.50-1.88); 1.91 (0.82-3.09)]; in particular, this difference resulted significant for MUTYH (P=0.035). BRCA1 showed a very low expression and it increased values in controls without cancer family history respect to cases similarly to the other two genes (Table IV). We correlated MUTYH, OGG1 and BRCA1 genes expression by Spearman's test (Table V).

Table IV.

Comparison of median gene expression between cases and controls without a family history of cancer.

Variable Cases (n=51) Controls without a family history of cancer (n=43) Mann-Whitney P-value
Age at sampling, mean±SD 48.60±12.88 50.09±7.49 0.159a
MUTYH, median (IQR) 0.58 (0.32-1.72) 1.04 (0.50-1.88) 0.035
OGG1, median (IQR) 0.93 (0.48-4.36) 1.91 (0.82-3.09) 0.358
BRCA1, median (IQR) 0.09 (0.03-0.32) 0.14 (0.07-0.21) 0.297

aStudent's t test for unpaired data. IQR, interquartile range.

Table V.

Correlation among MUTYH, OGG1 and BRCA1 gene expression.

  OGG1 BRCA1
Group Rho di Spearman P-value Rho di Spearman P-value
Cases 0.406 0.004    
     MUTYH     0.186 0.200
     OGG1     0.471 0.001
Controls without a family history of cancer 0.036 0.840    
     MUTYH     0.164 0.361
     OGG1     0.445 0.011

The results indicated that OGG1 and BRCA1 gene expression positively correlated both in cases (P=0.001) and controls without family history (P=0.011).

Interestingly, MUTYH and OGG1 gene expression did not shown any significant correlation in controls but a positive and significant correlation is reported in cases (Rho=0.406, P=0.004).

In summary, we observed a significant and positive correlation between gene expression of OGG1 and BRCA1 both in cases and controls while BER genes showed a significant correlation only in cases.

Discussion

In this study we aimed to evaluate the involvement of two BER glycosylases (OGG1 and MUTYH) in the predisposition to breast and OC. We also investigated the correlation among BRCA1 and these BER genes expression, in the contest of the BC and OC predisposition. In this regard we evaluated a retrospective series, previously selected for genetic analysis, of the main breast and OC predisposing genes: BRCA1 and BRCA2 (27,28).

Since BRCA1 is involved in oxidative stress regulation and BER after oxidative damage (35), we evaluated germline mutations status and gene expression of the MUTHY and OGG1 associated to clinical characteristics of 59 BC/OC cases and to BRCA1 gene expression.

In this series we identified: 4 novel variants and one of them (in MUTYH) is predicted deleterious; one known deleterious mutation in OGG1; 6 VUS (3 in MUTYH and 3 in OGG1) (Table I). The OGG1 deleterious mutation, c.137 G>A, causing a substitution from basic to acidic amino acid (p.Arg46Gln), has never been reported in BC/OC patients. While, it was previously described as deleterious germline variant in non-polyposis hereditary colorectal cancer (HNPCC) with stable microsatellites (MSS) (33,36). In our study we found this mutation in a case (B58) that referred BC (age range, 40-45 years), BC direct transmission, bilateral ovariectomy and a brother died for leukemia.

It is interesting to note that the three novel missense mutations were found in three out of eight OC/BOC patients with OC family history (Table II); furthermore, one of these patients (B105), carrying a truncating BRCA1 mutation (E1373X), was also affected by BC. It is possible that, in this case, two defects simultaneously contributed to the onset and progression of the tumor in the breast tissue, although the truncating BRCA1 mutation doesn't affect gene expression levels in PBMCs, but its expression value falls within the BRCA1 median of the cases. The precise mechanisms that govern mutant allele penetrance depend on many factors, including personal and/or reproductive history, mutation location, and actually undefined genetic factors (‘modifier genes’) (26).

The BC, as extra-colic manifestation, occurred in 18% of female patients affected by MUTYH-associated polyposis (MAP) (20). To support these evidences, the MUTYH knock-out mice are prone to develop mammary tumors (37). We did not observe MUTYH mutations related to MAP, while we found 2 missenses and 1 untranslated variant (p.Pro18Leu, p.Gly25Asp, c.36+11C>T) in a patient (B66) affected by BC/TC, with family history for BC and polyposis (Table II). The Pro18Leu and Gly25Asp missense mutations were previously reported as occurring in the same MUTYH allele (38).

The presence of MUTYH rare variants resulted associated with reduced transcript expression of the same gene in carriers vs. non carriers (P=0.030), whereas the most frequent SNPs rs3219489 in MUTYH and rs1052133 in OGG1 did not affect mRNA expression. From this study a new assumption emerges that in BC/OC subjects, the MUTYH rare variants exert a gene pressure on the reduction of MUTYH expression, as already reported in MAP cases carrying MUTYH mutations (33).

The time lag between diagnosis of cancer and sampling, menopausal status, and cigarette smoking did not influence the median expression of BRCA1 and MUTYH whereas OGG1 expression displayed a significant rise (P=0.030) in the cases presenting a direct family history for tumor different than BC.

It is shown that OGG1 is involved in the acute and systemic inflammatory response that may favor carcinogenesis (39-41). OGG1 expression showed an increase in post-menopausal women suggesting that the physiological menopause-related decrease of estrogens may increase OGG1 expression in PBMC; this relation was already found in other female tissues (42).

These data, obtained from the mRNA analysis on PBMC, are very interesting and deserves further studies also on the MUTYH role in the sphere of immune functions, since the loss of this gene appears to be associated with immunosuppression and impairment of the inflammatory response (43). We observed that the expression of MUTYH and OGG1 showed significant correlation only in PBMC from cases (P=0.004) (Table V). This correlation has been verified in cell lines derived from various tissues, stressed with hydrogen peroxide (our laboratory data not shown), confirming that alterations in the redox balance and BER function are involved in the promotion and progression of cancer (12), although inter-individual differences in the oxidative stress regulation can explain a part of the variability in cancer susceptibility.

In this study the expression of OGG1 always correlated with that of BRCA1 both in cases and population controls without cancer family history (P=0.001, P=0.011 (Table V). This data agrees with evidences that BRCA1 have a role in the regulation of OS (35,44) and suggests a possible crosstalk between BRCA1 and OGG1. Consistent with these findings, Saha T. and colleagues (10) in 2010 found that BRCA1 over-expression increases the enzymatic activities related to the BER pathway while its under-expression decreases them. These finding prompt the thought that BRCA1 might exert its tumor suppressive function through oxidative stress regulation. In the context of the BC and OC predisposition BRCA1 showed low expression in cases, although it increased in controls with no family history of cancer, as also observed for BER genes. This feature has not yet been adequately explored and deserves further study. The aspects that relate BRCA1 and BER molecules, in response to ROS and carcinogenesis, are also supported by the fact that the BRCA1 Loss of Heterozygosity (LOH) induces an increase of 8-oxoG levels (35). Since, BRCA1 wild-type promotes 8-oxoG lesions repair via transcriptional regulation of BER. This mechanism was exploited in the therapeutic block of PARP in patients harboring BRCA1 mutations (35).

Wild-type BRCA1 expression suppresses basal and H2O2-induced ROS production in breast and ovarian cell models (10,44). Endogenous factors may play a role as well salient in promoting the effects of oxidative stress on breast and ovarian carcinogenesis. Indeed, some studies have shown a significantly higher level of oxidative DNA damage in normal breast tissues derived from cancer patients (45). Non-physiological OS can be decisive in the pathogenesis of cancer, in fact, it is known to induce phenotypic modifications of cancer cells through cross-talk with the surrounding stroma (46). For these reasons, individuals predisposed to BC/OC can undergo a high rate of mutations oxidative stress-related due to the deficiency on systems to repair DNA damage. Furthermore, basic metabolic changes could produce an increase in potentially reactive oxygen species, in tissues like breast and ovary, which already have a physiological exposure to oxidative stress due to specific hormonal metabolism (9) and or inflammation (39). The roles of BER go beyond maintaining DNA integrity, as they are also implicated in the metabolism regulation (47).

This study highlights that germline MUTYH/OGG1 transcript levels may reflect physiological and pathological changes that induce a different status in patients and in controls with and without cancer family history. This is the first study that evaluated germline mutations and expression of MUTYH and OGG1 genes in BC/OC patients in relationship to BRCA1, investigating their reciprocal modulation. From this exploratory study emerged interesting and significant correlations among these three genes related to cancer predisposition.

Relationship among mutational spectrum, gene expression and demographic characteristics, could improve the genetic diagnosis performing predictive testing of at-risk individuals belonging to families with reduced mRNA expression regardless of presence of mutation. Finally, an accurate evaluation of the reduced expression of MUTYH and OGG1 genes in PBMCs could represent a useful way to monitor primary prevention and clinical management of cancer-free patients.

Supplementary Material

Primers used for the OGG1 gene.
Supplementary_Data.pdf (96.6KB, pdf)
BRCA1 Germline rare variants (MAF <5%) carried by 14 out of the 59 patients with BC/OC.
Supplementary_Data.pdf (96.6KB, pdf)

Acknowledgements

Not applicable.

Funding

The present study was supported by the Italian Ministry of Instruction, University and Research (grant nos. AT-Ricerca 2017Battista, AT-Ricerca2018Aceto and AT-Ricerca2018Curia).

Availability of data and materials

The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.

Authors' contributions

CM designed the present study, performed mutation screening, RT-qPCR analyses and wrote the manuscript. MDN performed statistical calculations. SV prepared samples and performed genetic analysis. AC and MCC critically reviewed the manuscript. LS, EC, PDG and PB collected and evaluated the clinical data. GMA designed and coordinated the present study, reviewed all genetic and clinical data and drafted the manuscript. All authors read and approved the final manuscript.

Ethics approval and consent to participate

All participants provided their written informed consent after verbal counselling. The study was approved by the Ethics Committee of the University ‘G. d'Annunzio’ of Chieti.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

References

  • 1.Ferlay J, Colombet M, Soerjomataram I, Mathers C, Parkin DM, Piñeros M, Znaor A, F Bray F. Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods. Int J Cancer. 2019;144:1941–1953. doi: 10.1002/ijc.31937. [DOI] [PubMed] [Google Scholar]
  • 2.Hiatt RA, Brody JG. Environmental determinants of breast cancer. Annu Rev Public Health. 2018;39:113–133. doi: 10.1146/annurev-publhealth-040617-014101. [DOI] [PubMed] [Google Scholar]
  • 3.Kuchenbaecker KB, Hopper JL, Barnes DR, Phillips KA, Mooij TM, Roos-Blom MJ, Jervis S, van Leeuwen FE, Milne RL, Andrieu N, et al. Risks of breast, ovarian, and contralateral breast cancer for BRCA1 and BRCA2 mutation carriers. JAMA. 2017;317:2402–2416. doi: 10.1001/jama.2017.7112. [DOI] [PubMed] [Google Scholar]
  • 4.Jezierska-Drutel A, Rosenzweig SA, Neumann CA. Role of oxidative stress and the microenvironment in breast cancer development and progression. Adv Cancer Res. 2013;119:107–125. doi: 10.1016/B978-0-12-407190-2.00003-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Malins DC, Holmes EH, Polissar NL, Gunselman SJ. The etiology of breast cancer. Characteristic alteration in hydroxyl radical-induced DNA base lesions during oncogenesis with potential for evaluating incidence risk. Cancer. 1993;71:3036–3043. doi: 10.1002/1097-0142(19930515)71:10&#x0003c;3036::aid-cncr2820711025&#x0003e;3.0.co;2-p. [DOI] [PubMed] [Google Scholar]
  • 6.Sipe HJ Jr, Jordan SJ, Hanna PM, Mason RP. The metabolism of 17 beta-estradiol by lactoperoxidase: A possible source of oxidative stress in breast cancer. Carcinogenesis. 1994;15:2637–2643. doi: 10.1093/carcin/15.11.2637. [DOI] [PubMed] [Google Scholar]
  • 7.Le Page F, Randrianarison V, Marot D, Cabannes J, Perricaudet M, Feunteun J, Sarasin A. BRCA1 and BRCA2 are necessary for the transcription-coupled repair of the oxidative 8-oxoguanine lesion in human cells. Cancer Res. 2000;60:5548–5552. [PubMed] [Google Scholar]
  • 8.Vera-Ramirez L, Sanchez-Rovira P, Ramirez-Tortosa MC, Ramirez-Tortosa CL, Granados-Principal S, Lorente JA, Quiles JL. Free radicals in breast carcinogenesis, breast cancer progression and cancer stem cells. Biological bases to develop oxidative-based therapies. Crit Rev Oncol Hematol. 2011;80:347–368. doi: 10.1016/j.critrevonc.2011.01.004. [DOI] [PubMed] [Google Scholar]
  • 9.Di Sante G, Di Rocco A, Pupo C, Casimiro MC, Pestell RG. Hormone-induced DNA damage response and repair mediated by cyclin D1 in breast and prostate cancer. Oncotarget. 2017;8:81803–81812. doi: 10.18632/oncotarget.19413. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Saha T, Smulson M, Rosen EM. BRCA1 regulation of base excision repair pathway. Cell Cycle. 2010;9:2471–2472. doi: 10.1074/jbc.M110.104430. [DOI] [PubMed] [Google Scholar]
  • 11.Schermerhorn KM, Delaney S. A chemical and kinetic perspective on base excision repair of DNA. Acc Chem Res. 2014;47:1238–1246. doi: 10.1021/ar400275a. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Maynard S, Schurman SH, Harboe C, de Souza-Pinto NC, Bohr VA. Base excision repair of oxidative DNA damage and association with cancer and aging. Carcinogenesis. 2009;30:2–10. doi: 10.1093/carcin/bgn250. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Oka S, Ohno M, Tsuchimoto D, Sakumi K, Furuichi M, Nakabeppu Y. Two distinct pathways of cell death triggered by oxidative damage to nuclear and mitochondrial DNAs. EMBO J. 2008;27:421–432. doi: 10.1038/sj.emboj.7601975. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Noren Hooten N, Kompaniez K, Barnes J, Lohani A, Evans MK. Poly(ADP-ribose) polymerase 1 (PARP-1) binds to 8-oxoguanine-DNA glycosylase (OGG1) J Biol Chem. 2011;286:44679–44690. doi: 10.1074/jbc.M111.255869. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Giovannini S, Weller MC, Repmann S, Moch H, Jiricny J. Synthetic lethality between BRCA1 deficiency and poly(ADP-ribose) polymerase inhibition is modulated by processing of endogenous oxidative DNA damage. Nucleic Acids Res. 2019;47:9132–9143. doi: 10.1093/nar/gkz624. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Markkanen E, Dorn J, Hübscher U. MUTYH DNA glycosylase: The rationale for removing undamaged bases from the DNA. Front Genet. 2013;4(18) doi: 10.3389/fgene.2013.00018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Aceto GM, Catalano T, Curia MC. Molecular aspects of colorectal adenomas: The interplay among microenvironment, oxidative stress, and predisposition. Biomed Res Int. 2020;2020(1726309) doi: 10.1155/2020/1726309. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Duckett DR, Bronstein SM, Taya Y, Modrich P. hMutSalpha- and hMutLalpha-dependent phosphorylation of p53 in response to DNA methylator damage. Proc Natl Acad Sci USA. 1999;96:12384–12388. doi: 10.1073/pnas.96.22.12384. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Wu J, Gu L, Wang H, Geacintov NE, Li GM. Mismatch repair processing of carcinogen-DNA adducts triggers apoptosis. Mol Cell Biol. 1999;19:8292–8301. doi: 10.1128/mcb.19.12.8292. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Nielsen M, Franken PF, Reinards TH, Weiss MM, Wagner A, van der Klift H, Kloosterman S, Houwing-Duistermaat JJ, Aalfs CM, Ausems MG, et al. Multiplicity in polyp count and extracolonic manifestations in 40 Dutch patients with MYH associated polyposis coli (MAP) J Med Genet. 2005;42(e54) doi: 10.1136/jmg.2005.033217. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Out AA, Wasielewski M, Huijts PE, van Minderhout IJ, Houwing-Duistermaat JJ, Tops CM, Nielsen M, Seynaeve C, Wijnen JT, Breuning MH, et al. MUTYH gene variants and breast cancer in a Dutch case-control study. Breast Cancer Res Treat. 2012;134:219–227. doi: 10.1007/s10549-012-1965-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Qiao L, Feng X, Wang G, Zhou B, Yang Y, Li M. Polymorphisms in BER genes and risk of breast cancer: Evidences from 69 studies with 33760 cases and 33252 controls. Oncotarget. 2018;9:16220–16233. doi: 10.18632/oncotarget.23804. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Beiner ME, Zhang WW, Zhang S, Gallinger S, Sun P, Narod SA. Mutations of the MYH gene do not substantially contribute to the risk of breast cancer. Breast Cancer Res Treat. 2009;114:575–578. doi: 10.1007/s10549-008-0042-1. [DOI] [PubMed] [Google Scholar]
  • 24.Rennert G, Lejbkowicz F, Cohen I, Pinchev M, Rennert HS, Barnett-Griness O. MutYH mutation carriers have increased breast cancer risk. Cancer. 2012;118:1989–1993. doi: 10.1002/cncr.26506. [DOI] [PubMed] [Google Scholar]
  • 25.Ali K, Mahjabeen I, Sabir M, Mehmood H, Kayani MA. OGG1 mutations and risk of female breast cancer: Meta-analysis and experimental data. Dis Markers. 2015;2015(690878) doi: 10.1155/2015/690878. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Chenevix-Trench G, Milne RL, Antoniou AC, Couch FJ, Easton DF, Goldgar DE. An international initiative to identify genetic modifiers of cancer risk in BRCA1 and BRCA2 mutation carriers: The consortium of investigators of modifiers of BRCA1 and BRCA2 (CIMBA) Breast Cancer Res. 2007;9(104) doi: 10.1186/bcr1670. CIMBA. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Stuppia L, Di Fulvio P, Aceto G, Pintor S, Veschi S, Gatta V, Colosimo A, Cianchetti E, Cama A, Mariani-Costantini R, et al. BRCA1 and BRCA2 mutations in breast/ovarian cancer patients from central Italy. Hum Mutat. 2003;22:178–179. doi: 10.1002/humu.9164. [DOI] [PubMed] [Google Scholar]
  • 28.Veschi S, Aceto G, Scioletti AP, Gatta V, Palka G, Cama A, Mariani-Costantini R, Battista P, Calò V, Barbera F, et al. High prevalence of BRCA1 deletions in BRCAPRO-positive patients with high carrier probability. Ann Oncol. 2007;18 (Suppl 6):vi86–vi92. doi: 10.1093/annonc/mdm233. [DOI] [PubMed] [Google Scholar]
  • 29.Aceto GM, Fantini F, De Iure S, Di Nicola M, Palka G, Valanzano R, Di Gregorio P, Stigliano V, Genuardi M, Battista P, et al. Correlation between mutations and mRNA expression of APC and MUTYH genes: New insight into hereditary colorectal polyposis predisposition. J Exp Clin Cancer Res. 2015;34(131) doi: 10.1186/s13046-015-0244-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Landrum MJ, Lee JM, Benson M, Brown G, Chao C, Chitipiralla S, Gu B, Hart J, Hoffman D, Hoover J, et al. ClinVar: public archive of interpretations of clinically relevant variants. Nucleic Acids Res. 2016;44(D1):D862–8. doi: 10.1093/nar/gkv1222. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Landrum MJ, Lee JM, Riley GR, Jang W, Rubinstein WS, Church DM, Maglott DR. ClinVar: Public archive of relationships among sequence variation and human phenotype. Nucleic Acids Res. 2014;42 (Database Issue):D980–D985. doi: 10.1093/nar/gkt1113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Pagel KA, Pejaver V, Lin GN, Nam HJ, Mort M, Cooper DN, Sebat J, Iakoucheva LM, Mooney SD, Radivojac P. When loss-of-function is loss of function: Assessing mutational signatures and impact of loss-of-function genetic variants. Bioinformatics. 2017;33:i389–i398. doi: 10.1093/bioinformatics/btx272. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Garre P, Briceño V, Xicola RM, Doyle BJ, de la Hoya M, Sanz J, Llovet P, Pescador P, Puente J, Díaz-Rubio E, et al. Analysis of the oxidative damage repair genes NUDT1, OGG1, and MUTYH in patients from mismatch repair proficient HNPCC families (MSS-HNPCC) Clin Cancer Res. 2011;17:1701–1712. doi: 10.1158/1078-0432.CCR-10-2491. [DOI] [PubMed] [Google Scholar]
  • 34.Kershaw RM, Hodges NJ. Repair of oxidative DNA damage is delayed in the Ser326Cys polymorphic variant of the base excision repair protein OGG1. Mutagenesis. 2012;27:501–510. doi: 10.1093/mutage/ges012. [DOI] [PubMed] [Google Scholar]
  • 35.Yi YW, Kang HJ, Bae I. BRCA1 and oxidative stress. Cancers (Basel) 2014;6:771–795. doi: 10.3390/cancers6020771. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Morak M, Massdorf T, Sykora H, Kerscher M, Holinski-Feder E. First evidence for digenic inheritance in hereditary colorectal cancer by mutations in the base excision repair genes. Eur J Cancer. 2011;47:1046–1055. doi: 10.1016/j.ejca.2010.11.016. [DOI] [PubMed] [Google Scholar]
  • 37.Sieber OM, Lipton L, Crabtree M, Heinimann K, Fidalgo P, Phillips RK, Bisgaard ML, Orntoft TF, Aaltonen LA, Hodgson SV, et al. Multiple colorectal adenomas, classic adenomatous polyposis, and germ-line mutations in MYH. N Engl J Med. 2003;348:791–799. doi: 10.1056/NEJMoa025283. [DOI] [PubMed] [Google Scholar]
  • 38.Zhang Y, Liu X, Fan Y, Ding J, Xu A, Zhou X, Hu X, Zhu M, Zhang X, Li S, et al. Germline mutations and polymorphic variants in MMR, E-cadherin and MYH genes associated with familial gastric cancer in Jiangsu of China. Int J Cancer. 2006;119:2592–2596. doi: 10.1002/ijc.22206. [DOI] [PubMed] [Google Scholar]
  • 39.Lugrin J, Rosenblatt-Velin N, Parapanov R, Liaudet L. The role of oxidative stress during inflammatory processes. Biol Chem. 2014;395:203–230. doi: 10.1515/hsz-2013-0241. [DOI] [PubMed] [Google Scholar]
  • 40.Coussens LM, Werb Z. Inflammation and cancer. Nature. 2002;420:860–867. doi: 10.1038/nature01322. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Visnes T, Cázares-Körner A, Hao W, Wallner O, Masuyer G, Loseva O, Mortusewicz O, Wiita E, Sarno A, Manoilov A, et al. Small-molecule inhibitor of OGG1 suppresses proinflammatory gene expression and inflammation. Science. 2018;362:834–839. doi: 10.1126/science.aar8048. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Singh B, Chatterjee A, Ronghe AM, Bhat NK, Bhat HK. Antioxidant-mediated up-regulation of OGG1 via NRF2 induction is associated with inhibition of oxidative DNA damage in estrogen-induced breast cancer. BMC Cancer. 2013;13(253) doi: 10.1186/1471-2407-13-253. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Grasso F, Di Meo S, De Luca G, Pasquini L, Rossi S, Boirivant M, Biffoni M, Bignami M, Di Carlo E. The MUTYH base excision repair gene protects against inflammation-associated colorectal carcinogenesis. Oncotarget. 2015;6:19671–19684. doi: 10.18632/oncotarget.4284. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Saha T, Rih JK, Rosen EM. BRCA1 down-regulates cellular levels of reactive oxygen species. FEBS Lett. 2009;583:1535–1543. doi: 10.1016/j.febslet.2009.04.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Li D, Zhang W, Zhu J, Chang P, Sahin A, Singletary E, Bondy M, Hazra T, Mitra S, Lau SS, et al. Oxidative DNA damage and 8-hydroxy-2-deoxyguanosine DNA glycosylase/apurinic lyase in human breast cancer. Mol Carcinog. 2001;31:214–223. doi: 10.1002/mc.1056. [DOI] [PubMed] [Google Scholar]
  • 46.Saed GM, Diamond MP, Fletcher NM. Updates of the role of oxidative stress in the pathogenesis of ovarian cancer. Gynecol Oncol. 2017;145:595–602. doi: 10.1016/j.ygyno.2017.02.033. [DOI] [PubMed] [Google Scholar]
  • 47.Scheffler K, Rachek L, You P, Rowe AD, Wang W, Kuśnierczyk A, Kittelsen L, Bjørås M, Eide L. 8-oxoguanine DNA glycosylase (Ogg1) controls hepatic gluconeogenesis. DNA Repair (Amst) 2018;61:56–62. doi: 10.1016/j.dnarep.2017.11.008. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Primers used for the OGG1 gene.
Supplementary_Data.pdf (96.6KB, pdf)
BRCA1 Germline rare variants (MAF <5%) carried by 14 out of the 59 patients with BC/OC.
Supplementary_Data.pdf (96.6KB, pdf)

Data Availability Statement

The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.


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