Literature DB >> 34174934

Prevalence and characteristics of mouse mammary tumor virus-like virus associated breast cancer in China.

Fa-Liang Wang1, Xiao-Li Zhang2, Ming Yang3, Jun Lin4, Yong-Fang Yue5, Ya-Dan Li6, Xian Wang6, Qiang Shu7,8, Hong-Chuan Jin9.   

Abstract

BACKGROUND: Despite extensive molecular epidemiological studies, the prevalence and characteristics of Mouse Mammary Tumor Virus-Like Virus (MMTV-LV) in Chinese women breast cancer are still unclear. Besides, the prevalence of MMTV-LV in women breast cancer tissue varies in different countries and its dependent factors remain inconclusive.
METHODS: In the first part of the study, a case-control study was performed. 119 breast cancer samples (84 from Northern China and 35 from Southern China) and 50 breast fibroadenoma specimens were collected from Chinese women patients. MMTV-like env sequence and the homology to MMTV env gene were analysed by semi-nested polymerase chain reaction (PCR). We also explored the association of MMTV-LV prevalence with sample sources (Southern and Northern China) and patients' clinicopathological characteristics. To investigate the dependent factors of the prevalence of MMTV-LV in breast cancer worldwide, a meta-analysis was conducted in the second part of the study.
RESULTS: We found that the prevalence of MMTV-LV was much higher in breast cancer tissues (17.65%) than that in breast fibroadenoma specimens (4.00%) (P < 0.05). MMTV-LV prevalence in Chinese women breast cancer tissues was significantly different between Southern China (5.71%) and Northern China (22.62%) (P < 0.05). The prevalence of MMTV-LV also associates significantly with expression of HER2, but shows no significant correlation with other parameters. In the meta-analysis, we found that MMTV-LV prevalence in breast cancer tissue was dependent on the distribution of M. domesticus mouse (M. d), M. musculus mouse (M.m) and M.castaneus mouse (M.c) worldwide (P < 0.05).
CONCLUSION: The distribution of house mice may be a crucial environmental factor that explains the geographic differences in human breast cancer incidence. Our findings may provide a potential avenue of prevention, diagnosis and treatment for breast cancer.

Entities:  

Keywords:  Breast cancer; M. domesticus mouse; M.castaneus mouse; M.musculus mouse; Mouse mammary tumor virus-like virus (MMTV-LV)

Year:  2021        PMID: 34174934      PMCID: PMC8235620          DOI: 10.1186/s13027-021-00383-2

Source DB:  PubMed          Journal:  Infect Agent Cancer        ISSN: 1750-9378            Impact factor:   2.965


Introduction

Breast carcinoma is a leading cause of cancer mortality in women worldwide. Many risk factors have been identified in the development of this tumor, such as diet, obesity, nulliparity, hormones, increased life expectancy and family history [1-6]. However, the etiology and molecular mechanism of breast carcinogenesis remain inconclusive despite decades of research [7, 8]. Increasing evidence suggests that viral infection may play a key role in the pathogenesis of breast cancer [9]. As early as 1936, John Bittner discovered the “mouse milk factor” that could increase the incidence of mouse breast cancer [10]. The “factor” was proved to be the mouse mammary tumor virus (MMTV) in the subsequent studies [11-13]. Subsequently, MMTV-like antigens and viral particles were successively detected in human milk and cancer cells during the 1970s and 1980s [14, 15]. In the recent several years, studies using PCR method with primers from selected regions of the MMTV env gene screened MMTV-like sequences in human milk [13] and breast cancer specimens [16-23]. Up to now, various investigators have postulated that mouse mammary tumor virus-like virus (MMTV-LV), a similar virus to MMTV, might be a cause for human breast cancer [24-27]. MMTV-LV prevalence in human breast cancer varies with geographical location. In recent studies, MMTV-LV prevalence was 30–40% in breast cancer tissues from several Western and North Africa countries including America, Italy, Mexico, Australia, Argentina and Tunisia [16, 17, 19, 24, 25, 28–45]. In East and Southeast Asia, where breast cancer incidence is known to be low, the presence of MMTV-LV sequences in breast cancer tissues is 16.79% in China [46]; while the ratio is 0.62 and 1.72% in Vietnam and Myanmar respectively [34, 47]. House mice, the carriers of MMTV, also distribute differently all over the world. Sage et al. divided them into three subspecies, namely M. domesticus (M.d), M.musculus (M.m) and M.castaneus (M.c) [48]. M. d mice originally landed from North Africa to Western Europe, and subsequently migrated to America, Australia, New Zealand and Hawaii via ships sailing from western European ports. While M. m mice distribute along with the range of M. d from Central Europe to East Asia and M.c settles from Southern China to central Iran [48, 49]. The ability to transmit MMTV varies in the three species of house mice due to the different copy number of MMTV in these mice [49]. It’s still unclear whether MMTV-LV has been transferred to humans from mice. If so, the prevalence of MMTV-LV in human breast cancer should be correlated with the distribution of house mice. Accordingly, the prevalence of MMTV-LV in breast cancer should be different between Southern and Northern China, and vary in countries with different house mice distribution. In this study, we firstly evaluated the different prevalence of MMTV-LV in human breast cancer in Southern and Northern China using a case-control study. And then we analyzed the possible association between the presence of MMTV-LV sequences and various Clinicopathological parameters. Finally, we pooled all the data related to MMTV-LV prevalence in breast cancer worldwide together and conducted meta-analysis and meta-regression to assess the effect of house mouse distribution on MMTV-LV prevalence.

Materials and methods

Case-control study

Patients and specimens

Paraffin embedded formalin fixed tissues from 169 Chinese women (119 breast cancer patients and 50 breast fibroadenoma patients) were obtained from samples collected between 2005 and 2019 in the Department of Pathology at the Second People’s Hospital of Jiande and the First Affiliated Hospital of Hebei North University, which locate in Southern and Northern China, respectively. Since the project was a retrospective study and used the remaining clinical samples, informed consent was exempted. The ethical issues were approved by Medical Ethics Committee of the Second People’s Hospital of Jiande (Supplementary Fig. 1). 35 breast cancer samples were collected from Chinese women who lived in Southern China, and the other 84 breast cancer samples were from Northern China. WHO criterias were adopted in histopathological diagnosis of each tumor [50]. The distribution of tumors was as follows: 107 invasive ductal carcinoma, 9 invasive lobular carcinoma and 3 mucous adenocarcinoma. According to the modified Scarff-Bloom-Richardson (SBR) system, invasive ductal carcinomas were graded into three grades [51]. The clinicopathological characters of the patients were summarized in Table 1.
Table 1

Clinicopathological characteristics of breast cancer patients

VariableNumber of cases (%)
Total119
Age (years)
 <353 (2.52)
 35–5059 (49.58)
 >5057 (47.90)
Sample source (province)
 Hebei84 (70.59)
 Zhejiang35 (29.41)
Histological type
 Invasive ductal carcinoma107 (89.92)
 Invasive lobular carcinoma9 (7.56)
 Mucious Adenocarcinoma3 (2.52)
Histological grade a
 Grade I48 (40.34)
 Grade II49 (41.18)
 Grade III10 (8.40)
Lymph node involvement
 Negative60 (50.42)
 Positive59 (49.58)

a Histological grade was performed only in specimens with invasive ductal carcinoma

Clinicopathological characteristics of breast cancer patients a Histological grade was performed only in specimens with invasive ductal carcinoma

DNA extractions and PCR

Formalin fixed paraffin embedded tissue were scraped from paraffin blocks using Ultra-Thin Semiautomatic Microtome and transferred to 1.5 ml eppendorf tubes using bamboo sticks. To avoid cross contamination, bamboo sticks were used for each paraffin block. TIANamp Genomic DNA Kit was used to extract genomic DNA. The sections scraped were deparaffinized in 1 ml xylene and centrifuged at 12,000 g for 3 min. After repeating this step twice, the sections were immersed twice in 1 ml absolute ethanol to remove xylene. Other steps were according to the manufacturer’s instructions. DNA from breast cell lines of MCF7, Bcap37, MDA-MB-231and MDA-MB-453 were also extracted using the TIANamp Genomic DNA Kit under the manufacturer’s guidance. The semi-nested PCR method with excellent sensitivity, specificity and simplicity was adopted to detection of MMTV env gene-like sequences [37]. 200 ng of genomic DNA was used as template in the first-stage of PCR with outer primers J948-env-F (5′-CCTCACTGCCAGATCGCCTT-3′) and J950-env-R (5′-CAGGTAGCAGCACATATGGC-3′) to amplify a 601 bp DNA fragment. 2ul of the first-stage product was used in the second round PCR as template with the primer pair J948-env-F and J1011-env-R1 (5′-CCTGCTTCATACCATCGATGAACC-3′), amplifying a 254 bp inner sequence (Table 2 and Fig. 2A).
Table 2

Primer sequences and location in the MMTV env gene

DesignationSequence(5′-3′)Location
J948-env-FCCTCACTGCCAGATCGCCTT6048–6067
J950-env-RCAGGTAGCAGCACATATGGC6629–6648
J1011-env-R1CCTGCTTCATACCATCGATGAACC6278–6301
IDD428-GAPDH-FGGAGTCAACGGATTTGGT
IDD429-GAPDH-RGTGATGGGATTTCCATTGAT
Fig. 2

MMTV genome and the position of the primers. A. The outer primers used in the primary PCR were J948-env-F and J950-env-R. The inner primers used in the secondary PCR were J948-env-F and J1011-env-R1. All the primers were shown by arrows. B. DNA sequence of the MMTV-like env PCR product

Primer sequences and location in the MMTV env gene All PCR amplifications were carried out in a 30 μl reaction system containing 200 mM of each dNTP, 0.2 μM of each forward and reverse primers, 1 U DNA polymerase, 50 mM KCl, 10 mM Tris-HCl (pH 8.4) and 1.5 mM MgCl2. Thermocycling was carried out in thermal circulator by denaturing at 94 °C for 5 min, then 35 circles (denaturing at 94 °C for 35 s, annealing at 52 °C for 30 s, extending at 72 °C for 40 s), and finally extending at 72 °C for 10 min. The reproducibility of the PCR reactions was confirmed in triplicate. Before detecting the DNA samples from patients, ordinary PCR with primers J948-env-F and J950-env-R was carried out on the DNA from breast carcinoma cell lines MCF7, Bcap37, MDA-MB-231 and MDA-MB-453. MMTV-like env gene sequences were positive in Bcap37 and MDA-MB-453 (Fig. 1C), so we treated DNA from Bcap37 cells as positive control. Negative controls were reactions without adding DNA template. In order to confirm the existence of viral DNA and exclude the amplification of non-specific or endogenous retroviral sequences, twelve randomly selected positive PCR products were purified and sequenced.
Fig. 1

Detection of MMTV-LV sequence in breast cancer. 1.5% agarose gel electrophoresis of the GelRed-stained amplification products for MMTV-LV gene screening using a semi-nested PCR assays. A. breast cancer cell lines B. breast cancer specimens C. breast fibroadenoma tissues D. Prevalence of MMTV-like env sequence in Chinese women breast cancer specimens compared to Chinese women breast fibroadenoma tissues (based on Table 3) *Indicating the significant difference between groups for P < 0.05

Detection of MMTV-LV sequence in breast cancer. 1.5% agarose gel electrophoresis of the GelRed-stained amplification products for MMTV-LV gene screening using a semi-nested PCR assays. A. breast cancer cell lines B. breast cancer specimens C. breast fibroadenoma tissues D. Prevalence of MMTV-like env sequence in Chinese women breast cancer specimens compared to Chinese women breast fibroadenoma tissues (based on Table 3) *Indicating the significant difference between groups for P < 0.05
Table 3

Prevalence of MMTLV in breast cancer and breast fibroadenoma in Chinese women

Histopathological typeNumber of MMTV-LV positive casesNumber of MMTV-LV negative casesP-valuea
Breast cancer (%)21 (17.65)98 (82.35)0.02
Breast fibroadenoma (%)2 (4.00)48 (96.00)

aP value was calculated by χ2 (two sided) and was considered to statistically significant for P<0.05. Bold values indicate significant correlation

Immunohistochemical staining and analysis

The expression of Estrogen receptor (ER), Progesterone receptor (PR), and HER2 was detected using immunohistochemistry method. The immunohistochemical staining was interpreted by the same experienced pathologist according to the American Society of Clinical Oncology and College of American Pathologists guidelines, who did not know any other clinicopathological or molecular information. For ER and PR, if 10% or more tumor cells show nuclear staining, the case is considered positive. The HER2 expression was estimated and scored on a scale of 0 to 3+ according to the membrane staining pattern [52].

Data analysis

MMTV-LV prevalence in tumors was analyzed for possible association with clinicopathological parameters (age, sample source, histological grade and type, lymph node status and tumor positions) and the expression of receptors (ER, PR and HER2) using χ2 or Fisher’s test with SPSS 20.0. If P value was less than 0.05, the comparison between groups was considered statistically significant. DNA similarity alignments were performed using DNAMAN 8.0 software.

Systematic review and meta-analysis

Search strategy

A comprehensive search of PubMed, Google Scholar, Web of Science and EBSCO (ASP/BSP) was done to find publications reported between January 1995 and May 2020 using the MeSH terms and key words “mouse mammary tumor virus”, “MMTV” “Human” and “breast cancer or breast carcinoma”. We also evaluated the relevant references cited in retrieved articles.

Eligibility criteria

Studies were included according to the following criteria: (i) Studies had to use PCR method to screen MMTV-LV sequence in specimens. Researches were excluded if their PCR product not homologous to MMTV [53]. (ii) Researches only focusing on breast cancer cell line [42] and mice breast tumors [54] were not included. (iii) If data was published in more than one study, only the publication with the most explicit description was included. The article selection process applied in this meta-analysis was illustrated in Fig. 4.
Fig. 4

Flow diagram of the publication search strategy and assessment of studies identified for meta-analysis

Data extraction

Two investigators (Fa-liang Wang and Ming Yang) independently extracted data according to the terms and reached consensus for each trial. The following information was recorded: first author’s name, country of origin, sample size, MMTV-LV prevalence in breast carcinoma tissues. The information of all included studies was summarized in Table 5.
Table 5

Studies included for the meta-analysis

First AuthorYearRegionMMTV-LV PrevalenceMouse speciesReference
Wang FL2020China (South)2/35 (5.71%)M.c (1)
Reza MA2015Iran12/100 (12.00%)M.c (1)[55]
San TH2017Myanmar1/58 (1.72%)M.c (1)[47]
Naushad W2017Pakistan83/250 (33.20%)M.c (1)[22]
Ford CE2004Vietnam1/161 (0.62%)M.c (1)[56]
Naushad W2014Pakistan16/80 (20.00%)M.c (1)[20]
Shariatpanahi S2017Iran19/59 (32.20%)M.c (1)[57]
Luo T2006China22/131 (16.79%)M.c/M.m (1.5)[46]
Wang FL2020China (Nouth)19/84 (22.62%)M.m (2)
Nartey T2017Australia9/25 (36.002%)M.d (3)[58]
Wang Y2001America188/495 (37.98%)M.d (3)[31]
Nazar AMA2014Iraqi22/38 (57.89%)M.d (3)[59]
Lawson JS2006Australia21/59 (35.59%)M.d (3)[40]
Melana SM2002Argentine23/74 (31.08%)M.d (3)[33]
Lawson JS2018Australia12/45 (26.67%)M.d (3)[21]
Lawson JS2004Australia20/42 (47.62%)M.d (3)[38]
Wang Y2003America196/513 (38.21%)M.d (3)[35]
Ford CE2003Australia19/45 (42.22%)M.d (3)[34]
Zapata-Benavides P2007Mexico5/119 (4.20%)M.d (3)[42]
Lawson JS2010Australia33/74 (44.59%)M.d (3)[44]
Mok MT2008Australia28/50 (56.00%)M.d (3)[19]
Glenn WK2012Australia39/50 (78.00%)M.d (3)[24]
Levine PH2004Tunisia28/38 (73.68%)M.d (3)[39]
Melana SM2001Argentine32/106 (30.19%)M.d (3)[16]
Etkind PR2004America6/12 (50.00%)M.d (3)[36]
Faedo M2004Australia50/128 (39.06%)M.d (3)[37]
Ford CE2004Australia45/144 (31.25%)M.d (3)[17]
Mazzanti CM2011Italy47/69 (68.12%)M.d (3)[25]
Pogo BG1999Italy26/69 (37.68%)M.d (3)[29]
Wang Y1995America181/465 (38.92%)M.d (3)[28]
Etkind P2000America27/73 (36.99%)M.d (3)[30]
Al Dossary R2018Saudi Arabia6/101 (5.94%)M.d (3)[23]
Naccarato AG2019Italy17/56 (30.36%)M.d (3)[60]
Zammarchi F2006Italy15/45 (33.33%)M.d (3)[41]
Hachana M2008Tunisia17/122 (13.93%)M.d (3)[43]

Studies included for the meta-analysis

M.d: M. domesticus mouse; M.m: M. musculus mouse and M.c: M. castaneus mouse

Meta-analysis

The meta-analysis consists of two parts. In the first part, we pooled the MMTV-LV infection rates in breast carcinoma reported in previous publications and this study. In the second part, we analyzed the correlation between MMTV-LV prevalence in human breast cancer and the distribution of different types of house mice in a global map (Supplementary Fig. 2) in a meta-regression model. In the meta-analysis, Cochrane χ2 test was performed to examine the null hypothesis that the observed heterogeneity was random and the degree of heterogeneity was estimated using the statistic I2 = [(Q-df)/Q] × 100% (Q = Cochrane χ2, df = degrees of freedom). Due to the significant heterogeneity in this study, the DerSimonian and Laird method was adopted to pool the data in a random-effect model [61]. To determine the influence of the distribution of house mice on the prevalence of MMTV-LV in human breast cancer tissue, we performed a random-effects meta-regression. The proportion of heterogeneity attributable to distribution of house mice was estimated by comparing the between-studies component of variance in the null model (τ02) with the estimate of τ2 for the model with the covariate of house mice distribution [(τ02-τ2)/ τ02]. P values of < 0.05 suggested that the factor involved in the meta-regression could partly explain the heterogeneity in the meta-analysis. The publication bias was quantitatively assessed in Egger’s test [62]. When P value was less than 0.1, the publication bias was considered present. For other tests, P values of < 0.05 were considered statistically significant. The meta-analysis was carried out in STATA 12.0.

Results

Screening of MMTV-like env gene sequence in breast tumor DNA

The MMTV-like env gene sequence was screened in the genomic DNA from 119 breast cancer specimens, 50 breast fibroadenoma specimens and 4 human breast cancer cell lines. The house keeping gene GAPDH was amplified to confirm the integrity of all DNA samples. In the 119 breast cancer specimens, the PCR products of expected size were successfully amplified from 21 specimens. While in the 50 breast fibroadenoma tissues, only 2 samples were identified containing the sequence. Moreover, the sequence could also be detected in 2 cell lines, including Bcap-37 and MDA-MB-453 (Fig. 1).

Sequence homology analysis of the PCR products

To analyse the homology of PCR products to MMTV env gene, twelve PCR products randomly chosen from different specimens were sequenced. The sequence homology of the PCR products was 98–99% to the MMTV env sequence from the GeneBank (AF346816) (Figs. 2B and 3). So we reasoned that all of the specimens with PCR products were infected by MMTV-LV.
Fig. 3

Multiple nucleotide alignment of the sequences of PCR products (marked by their respective numbers) with MMTV env sequences retrieved from GenBank database (No. AF346816). Sequences were aligned using DNAMAN, version 8. Stars show conserved sites along the alignment

MMTV genome and the position of the primers. A. The outer primers used in the primary PCR were J948-env-F and J950-env-R. The inner primers used in the secondary PCR were J948-env-F and J1011-env-R1. All the primers were shown by arrows. B. DNA sequence of the MMTV-like env PCR product Multiple nucleotide alignment of the sequences of PCR products (marked by their respective numbers) with MMTV env sequences retrieved from GenBank database (No. AF346816). Sequences were aligned using DNAMAN, version 8. Stars show conserved sites along the alignment

Prevalence of MMTV-LV and its correlation with clinicopathological characteristics of patients

Consistent with our hypothesis, the positive rate of MMTV-LV env sequence was significantly correlated with sample sources (Southern China 5.71%, and Northern China 22.62%, P = 0.03). The association between MMTV-LV prevalence and the clinical properties of the specimens was further analyzed with statistical approaches. We found that the prevalence of MMTV-LV env sequence in breast cancer tissues (17.65%) was much higher than that in breast fibroadenoma specimens (4.00%), with a P-value of 0.02. (Fig. 1D and Table 3). What’s more, the presence of MMTV-LV env sequence was significantly correlated with HER-2 expression in breast cancer tissues (Table 4). The proportion of samples with high HER-2 expression in MMTV-LV positive tissues (71.43%) was much higher than that in MMTV-LV negative tissues (43.88%) (Table 4, P = 0.02). No significant correlations were observed with the age of the patients, histological types, histological grades, lymph node status, tumor position, ER and PR expression in breast cancer tissues.
Table 4

Characteristics of MMTLV positive and negative breast cancer in Chinese women

VariablesNumber of MMTLV positive cases (%)Number of MMTLV negative cases (%)P-value a
Ages (years)0.68
 <350 (0.00)3 (3.06)
 35–5010 (47.62)49 (50.00)
 >5011 (52.38)46 (46.94)
Sample source (province)0.03
 Northern China19 (90.48)65 (66.33)
 Southern China2 (9.52)33 (33.67)
Histological type0.61
 Invasive ductal carcinoma20 (95.24)87 (88.78)
 Invasive lobular carcinoma1 (4.76)8 (8.16)
 Mucious Adenocarcinoma0 (0.00)3 (3.06)
Histological grade b0.77
 GradeI8 (38.10)40 (46.51)
 GradeII11 (52.38)38 (44.19)
 GradeIII2 (9.52)8 (9.30)
Lymph node involvement0.21
 Positive8 (38.10)52 (53.06)
 Negative13 (61.90)46 (46.94)
Position0.82
 Right13 (61.90)58 (59.18)
 Left8 (38.10)40 (40.82)
Estrogen receptor0.73
 Positive12 (57.14)52 (53.06)
 Negative9 (42.86)46 (46.94)
Progesterone receptor0.54
 Positive12 (57.14)63 (64.29)
 Negative9 (42.86)35 (35.71)
HER-20.02
 −/1+6 (28.57)55 (56.12)
 2+/3+15 (71.43)43 (43.88)

a P value was calculated by χ2 or Fisher’s tests and was considered to be statistically significant for P<0.05. Bold values indicate significant correlation

b Histological grade was performed only in specimens with invasive ductal carcinoma

Prevalence of MMTLV in breast cancer and breast fibroadenoma in Chinese women aP value was calculated by χ2 (two sided) and was considered to statistically significant for P<0.05. Bold values indicate significant correlation Characteristics of MMTLV positive and negative breast cancer in Chinese women a P value was calculated by χ2 or Fisher’s tests and was considered to be statistically significant for P<0.05. Bold values indicate significant correlation b Histological grade was performed only in specimens with invasive ductal carcinoma

Meta-analysis of MMTV-LV prevalence in breast cancer patients

As shown in Fig. 4, database searching identified 1012 records and a review of reference lists uncovered 56 additional records. After removing duplicate studies, 742 records remained, 664 of which were excluded after reviewing titles and abstracts. In the remaining 78 articles, 13 reviews were excluded. 65 records underwent full text review, and 33 studies met the inclusion criteria [20, 22, 46, 47, 55–57]. We also included the data in the above case-control study, which was divided into two data sets according to the sample sources (Hebei and Zhejiang), so there were 35 data sets in total (Table 5). A publication bias test was performed before the studies were pooled together. The result revealed no obvious publication bias (P = 0.499). Flow diagram of the publication search strategy and assessment of studies identified for meta-analysis Studies included for the meta-analysis Studies included for the meta-analysis M.d: M. domesticus mouse; M.m: M. musculus mouse and M.c: M. castaneus mouse According to the distribution of house mice [48, 49], we divided all the studies into three categories: M.c, M.m and M.d, which were numbered 1, 2 and 3, respectively. The characteristics of the included studies are summarized in Table 5. All the studies were region-based, in particular, 7 studies were based in M.c region (one data set from our case-control study) [20, 22, 47, 55–57], one study was based in M.c/M.m mixed region [46], one study was based in M.m region (our case-control study), and 26 studies were based in M.d region [16, 17, 19, 21, 23–25, 28–31, 33–44, 58–60]. MMTV-LV prevalence ranged from 1 to 78% in breast carcinoma tissue and the overall positive rate was 33% (95%CI: 26–40%). There was a statistically significant heterogeneity between the included studies (I = 97.8%, Cochran’s Q test: P < 0.05). In the subgroup analysis, it was found that MMTV-LV prevalence was lowest in M.c region (14, 95%CI: 6–23%) and highest in M.d region (39, 95%CI, 31–46%). There were statistically significant differences between the subgroups (P < 0.05) (Fig. 5).
Fig. 5

The meta-analysis of MMTV-LV prevalence in women breast cancer tissue. The data sets were divided in four subgroups (M.c, M.c/M.m, M.m and M.d) and analysed in a random effects model

The meta-analysis of MMTV-LV prevalence in women breast cancer tissue. The data sets were divided in four subgroups (M.c, M.c/M.m, M.m and M.d) and analysed in a random effects model To confirm the effect of house mice distribution on MMTV-LV prevalence, a meta-regression analysis was performed. The analysis result demonstrated that 27.31% variance between studies coming from different countries could be explained by the distribution of house mice, which was a crucial factor that affected the prevalence of MMTV-LV significantly (P < 0.05) (Fig. 6).
Fig. 6

Meta-regression analysis. In this model, the dependent variable is prevalence of MMTV-LV, while the covariant is the mouse species. X-axis represents different house mice species (1: M.c, 1.5: M.c/M.m, 2: M.m, 3: M.d). Y-axis denotes the prevalence of MMTV-LT in breast cancer in Chinese women

Meta-regression analysis. In this model, the dependent variable is prevalence of MMTV-LV, while the covariant is the mouse species. X-axis represents different house mice species (1: M.c, 1.5: M.c/M.m, 2: M.m, 3: M.d). Y-axis denotes the prevalence of MMTV-LT in breast cancer in Chinese women

Discussion

Since the role and mechanism of viruses on cancer development were proposed in the 1970s and 1980s, there has been an avalanche of studies on the correlation between MMTV-LV and human breast carcinogenicity. Closely following the findings, studies discovered MMTV-like antigens or viral particles in human breast or breast cancer cells. Beyond that, immune responses to MMTV-LV antigens had also been detected in women with breast cancer [63-65]. However, some MMTV-LV sequence screening studies unexpectedly revealed that the detected DNA was highly homologous to human endogenous retrovirus (HERV), thereby hindering the development of related studies [66]. Until recent decades, the widespread application of PCR technology allows scientists to use primers from selected regions of genes with low homology to known HERV to detect MMTV-like DNA sequences in human breast cancer tissues [28]. Therefore, renewed interest in the viral etiology of breast cancer has been aroused. In the first part of our study, we screened MMTV-LV env sequence in Chinese women breast cancer tissues, breast fibroadenoma specimens and human breast cancer cell lines. Except for several random mutations, the sequences of the PCR products showed 98–99% homology with the MMTV env sequence (Fig. 3). This signifies that house mouse, an important carrier of MMTV, may be a zoonotic source of MMTV-LV in human breast tumor. As a supportive argument for early human exposure, Stewart et al. [49] indicated that mouse fecal particles contaminated the stored grains, so the MMTV might enter the human digestive tract and then infected humans. In addition, cats might be infected with MMTV carried by mice and then spread the virus to humans [67]. Moreover, MMTV can also transmit through saliva inter-human [68]. MMTV-LV was ever found in the breast cancer tissues of father, mother and daughter, suggesting the possibility of MMTV-LV as an etiological agent which is related to familial breast cancer [69]. In the case-control study, the results indicated that the prevalence of MMTV-LV in breast cancer specimens (17.65%) was much higher than that in breast fibroadenoma tissues (4%) (Fig. 1D and Table 3), implying that infection of MMTV-LV may play an important role in breast carcinogenesis. The long terminal repeat (LTR) sequence of MMTV was found to contain all the enhancer and promoter elements. Proviral DNA can integrate into the vicinity of cellular proto-oncogenes and activate their transcription, which is postulated to be the carcinogenic mechanism of MMTV [70]. Due to the non-specific integration site of MMTV in genes [71], the higher concentration of the virus, it is more likely that the proviral DNA will integrate into the vicinity of the proto-oncogene. In fact, several mammalian oncogenes such as Wnt gene family were discovered just because of their correlation with MMTV [9]. Therefore, the incidence and latency of breast cancer are proportional to the burden of MMTV [72]. Besides, the env protein also involves in transformation process of mammary epithelial cells mediated by MMTV, because MMTV-induced breast tumor can be reduced by the mutation of the env protein, even the virus load is at high levels [73]. MMTV-LV, containing LTR and env sequences, shares 95% homology with MMTV and has the potential to express, replicate and integrate into the genome of host cells [74]. MMTV-LV may trigger the occurrence of breast cancer with similar mechanism. In the analysis of the correlation between prevalence of MMTV-LV and clinicopathological characteristics, we found that the presence of MMTV-like env sequences in breast carcinoma specimens was associated significantly with sample source and HER-2 expression (Table 4). HER2 is a known proto-oncogene and it is overexpressed in about 30–50% of human breast cancer [75, 76]. The overexpression of HER-2, predicting a poor prognosis, plays a key role in breast cancer development and metastasis. Thus, HER-2 has become an important target in breast cancer treatment [77, 78]. In vitro experiments have showed that Epstein-Barr virus infection was related with increased expression and activation of HER2 signaling cascades, which could be blocked by trastuzumab [79]. Our finding suggests that the role of MMTV-LV in human breast cancer may be also correlated to the HER2 oncogenic pathway, but it remains to be confirmed in further molecular mechanism research. With regard to sample sources, we discovered the prevalence of MMTV-LV in Chinese breast cancer is correlated with the distribution of house mice. According to the studies reported previously [48, 49], Zhejiang and Hebei, which respectively locate in Southern and Northern China, were distributed with different kind of house mice (M.c and M.m, respectively). The different prevalence of MMTV-LV in Southern and Northern China may due to the different viral burden of MMTV in mice [49]. In order to confirm the association between the prevalence of MMTV-LV in breast cancer tissues and the distribution of house mice worldwide, we then performed a meta-analysis in subgroups and a meta-regression analysis. We found that the MMTV-LV prevalence in breast cancer was increasing from M.c region, M.m region to M.d region. The distribution of house mice could explain 27.31% of the difference in the MMTV-LV prevalence in breast cancer specimens from different regions. To sum up, the distribution of house mice in the world may partly account for the geographical variation in breast cancer incidence worldwide. Study of Hunter et al. showed that high-fat diet and xeno-oestrogens intake were considered risk factors for breast cancer [80]. However, the diet of circumpolar Inuit is rich in saturated fat and contaminated with high doses of xeno-oestrogens [81], but the incidence of breast cancer is low [82]. More interestingly, it is generally agreed that environmental changes can lead to an increased risk of breast cancer [83]. When people migrate to areas with higher breast cancer incidence, their risk of breast cancer gradually increases. For instance, the migration of Japanese to the United States [84], and South Asians to Britain [85] demonstrated that the incidence of breast cancer had increased over decades. Among these areas, a remarkable difference is the distribution of M.c, M.m and M.d with different MMTV burden, so it may be the crucial environmental factor that explains the geographic variation in human breast cancer incidence.

Conclusion

The results of this study suggest that MMTV-LV infection may increase the risk of breast cancer. Besides, MMTV-LV prevalence is significantly associated with sample source and HER2 expression, but there is no significant correlation between MMTV-LV prevalence and age of patients, histological grade, histological type, lymph node involvement, tumor position or expression of ER and PR in breast cancer tissues. In the meta-analysis, we find that MMTV-LV prevalence in breast cancer is dependent on the distribution of M.c, M.m and M.d. The results of this study support the zoonotic hypothesis that MMTV-LV is transferred from domestic mice to human and is a crucial risk factor for human breast cancer. These findings may provide a potential avenue in breast cancer prevention, diagnosis and treatment. Additional file 1.
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1.  Clonal isolation of different strains of mouse mammary tumor virus-like DNA sequences from both the breast tumors and non-Hodgkin's lymphomas of individual patients diagnosed with both malignancies.

Authors:  Polly R Etkind; Alexandre F R Stewart; Thambi Dorai; Daniel J Purcell; Peter H Wiernik
Journal:  Clin Cancer Res       Date:  2004-09-01       Impact factor: 12.531

2.  A human breast tumor cell line (BT-474) that supports mouse mammary tumor virus replication.

Authors:  E Y Lasfargues; W G Coutinho; A S Dion
Journal:  In Vitro       Date:  1979-09

3.  Search for mouse mammary tumor virus-like env sequences in cancer and normal breast from the same individuals.

Authors:  S M Melana; J F Holland; B G Pogo
Journal:  Clin Cancer Res       Date:  2001-02       Impact factor: 12.531

4.  Cancer risk in persons with oral cleft--a population-based study of 8,093 cases.

Authors:  Camilla Bille; Jeanette Falck Winther; Andrea Bautz; Jeffrey C Murray; Jørn Olsen; Kaare Christensen
Journal:  Am J Epidemiol       Date:  2005-06-01       Impact factor: 4.897

5.  Breast cancer in Circumpolar Inuit 1969-1988.

Authors:  A B Miller; L A Gaudette
Journal:  Acta Oncol       Date:  1996       Impact factor: 4.089

6.  Migration patterns and breast cancer risk in Asian-American women.

Authors:  R G Ziegler; R N Hoover; M C Pike; A Hildesheim; A M Nomura; D W West; A H Wu-Williams; L N Kolonel; P L Horn-Ross; J F Rosenthal; M B Hyer
Journal:  J Natl Cancer Inst       Date:  1993-11-17       Impact factor: 13.506

7.  Mouse mammary tumor virus-induced tumorigenesis in sag transgenic mice: a laboratory model of natural selection.

Authors:  T V Golovkina; J A Prescott; S R Ross
Journal:  J Virol       Date:  1993-12       Impact factor: 5.103

8.  Epstein-Barr virus, human papillomavirus and mouse mammary tumour virus as multiple viruses in breast cancer.

Authors:  Wendy K Glenn; Benjamin Heng; Warick Delprado; Barry Iacopetta; Noel J Whitaker; James S Lawson
Journal:  PLoS One       Date:  2012-11-19       Impact factor: 3.240

9.  Longer survival in patients with breast cancer with cyclin d1 over-expression after tumor recurrence: longer, but occupied with disease.

Authors:  Jaesik Chung; Hany Noh; Kwang Hwa Park; Eunhee Choi; Airi Han
Journal:  J Breast Cancer       Date:  2014-03-28       Impact factor: 3.588

10.  Human saliva as route of inter-human infection for mouse mammary tumor virus.

Authors:  Chiara Maria Mazzanti; Francesca Lessi; Ivana Armogida; Katia Zavaglia; Sara Franceschi; Mohammad Al Hamad; Manuela Roncella; Matteo Ghilli; Antonio Boldrini; Paolo Aretini; Giovanni Fanelli; Ivo Marchetti; Cristian Scatena; Jacob Hochman; Antonio Giuseppe Naccarato; Generoso Bevilacqua
Journal:  Oncotarget       Date:  2015-07-30
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Review 1.  Presence of a mouse mammary tumour virus-like in feline lymphomas: a preliminary study.

Authors:  Francesca Parisi; Francesca Lessi; Michele Menicagli; Prospero Civita; Romano Liotti; Francesca Millanta; Giulia Freer; Mauro Pistello; Chiara Maria Mazzanti; Alessandro Poli
Journal:  Infect Agent Cancer       Date:  2022-06-23       Impact factor: 3.698

Review 2.  Mouse Mammary Tumour Virus (MMTV) in Human Breast Cancer-The Value of Bradford Hill Criteria.

Authors:  James S Lawson; Wendy K Glenn
Journal:  Viruses       Date:  2022-03-30       Impact factor: 5.818

Review 3.  Mouse Mammary Tumor Virus (MMTV) and MMTV-like Viruses: An In-depth Look at a Controversial Issue.

Authors:  Francesca Parisi; Giulia Freer; Chiara Maria Mazzanti; Mauro Pistello; Alessandro Poli
Journal:  Viruses       Date:  2022-05-06       Impact factor: 5.818

4.  Presence of high-risk HPVs, EBV, and MMTV in human triple-negative breast cancer.

Authors:  Ishita Gupta; Monika Ulamec; Melita Peric-Balja; Snjezana Ramic; Ala-Eddin Al Moustafa; Semir Vranic; Halema F Al-Farsi
Journal:  Hum Vaccin Immunother       Date:  2021-10-08       Impact factor: 4.526

Review 5.  The Viral Origin of Human Breast Cancer: From the Mouse Mammary Tumor Virus (MMTV) to the Human Betaretrovirus (HBRV).

Authors:  Generoso Bevilacqua
Journal:  Viruses       Date:  2022-08-01       Impact factor: 5.818

6.  Revisiting the MMTV Zoonotic Hypothesis to Account for Geographic Variation in Breast Cancer Incidence.

Authors:  Alexandre F R Stewart; Hsiao-Huei Chen
Journal:  Viruses       Date:  2022-03-09       Impact factor: 5.048

  6 in total

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