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Article

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

by
Alexandre F. R. Stewart
1,2,3,* and
Hsiao-Huei Chen
3,4,5,6,7,*
1
Laboratory of Translational Genomics, Ruddy Canadian Cardiovascular Genetics Centre, University of Ottawa Heart Institute, Ottawa, ON K1Y 4W7, Canada
2
Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ottawa, ON K1H 8M5, Canada
3
Centre for Infection, Immunity and Inflammation, University of Ottawa, Ottawa, ON K1H 8M5, Canada
4
Department of Medicine, University of Ottawa, Ottawa, ON K1H 8M5, Canada
5
Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, ON K1H 8M5, Canada
6
Brain and Mind Institute, Ottawa Hospital Research Institute, Ottawa, ON K1H 8M5, Canada
7
Neuroscience Division, Ottawa Hospital Research Institute, Ottawa, ON K1H 8M5, Canada
*
Authors to whom correspondence should be addressed.
Viruses 2022, 14(3), 559; https://doi.org/10.3390/v14030559
Submission received: 4 February 2022 / Revised: 5 March 2022 / Accepted: 7 March 2022 / Published: 9 March 2022
(This article belongs to the Special Issue Human Betaretrovirus and Related Diseases)
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Abstract

:
Human breast cancer incidence varies by geographic location. More than 20 years ago, we proposed that zoonotic transmission of the mouse mammary tumor virus (MMTV) from the western European house mouse, Mus musculus domesticus, might account for the regional differences in breast cancer incidence. In the intervening years, several developments provide additional support for this hypothesis, including the limited impact of genetic factors for breast cancer susceptibility revealed by genome-wide association studies and the strong effect of antiretroviral therapy to reduce breast cancer incidence. At the same time, economic globalization has further expanded the distribution of M. m. domesticus to Asia, leading to a significant increase in breast cancer incidence in this region. Here, we revisit this evidence and provide an update to the MMTV zoonotic hypothesis for human breast cancer at a time when the world is recovering from the global COVID-19 zoonotic pandemic. We present evidence that mouse population outbreaks are correlated with spikes in breast cancer incidence in Australia and New Zealand and that globalization has increased the range of M. m. domesticus and MMTV. Given the success of global vaccination campaigns for HPV to eradicate cervical cancer, a similar strategy for MMTV may be warranted. Until breast cancer incidence is reduced by such an approach, zoonotic transmission of MMTV from mice to humans as an etiologic factor for breast cancer will remain controversial.

1. Introduction

Environmental factors play an important part in the etiology of sporadic breast cancer [1]. Geographic variation in human breast cancer incidence is well-recognized, and the country of residence accounts for ~80% of the lifetime risk [2]. Moreover, for individuals who migrate from lands where the incidence is low to where the incidence is high, their breast cancer incidence gradually increases up to 2–3-fold over several decades after immigration [3,4,5]. Intriguingly, neither exposure to organochlorine pesticides [1,6], nor reduced phytoestrogen intake or other changes in diet [7], nor increased cigarette smoking or alcohol intake [8] account for this increase in breast cancer incidence. Thus, environmental factors endemic to regions of high breast cancer incidence remain to be identified. In contrast to the profound geographic effect, the genetic contribution is relatively minor. While up to 20% of breast cancer risk occurs in families [9,10], families tend to remain in specific geographic areas and share environmental as well as genetic factors. Since many studies are conducted in the United States, a country with one of the highest incidences of breast cancer, the genetic contribution to breast cancer risk may be overestimated (and include the geographic environmental factor). Genome-wide association studies to identify common genetic variants associated with the risk of breast cancer have relied predominantly on cohorts residing in the United States, Canada, Australia and Western Europe, regions with high breast cancer incidence [11,12]. For the 77 most common genetic variants for breast cancer, women carrying most of these variants had a lifetime risk of breast cancer increased by less than 8% [13], highlighting the limited contribution of genetic risk to breast cancer.
Could the environmental factor be a cancer-inducing virus? If so, it would need to have very low infectivity to maintain the geographic differences in incidence. A highly infectious virus would spread rapidly and eliminate geographic differences in breast cancer incidence. For example, human papillomavirus-induced cervical cancer shows geographic variation, with the highest incidence in sub-Saharan Africa and Melanesia (http://gco.iarc.fr/today, accessed on 8 March 2022). Infectivity is predominantly by sexual contact, but is relatively low, with 20% transmission in the first 6 months between heterosexual couples [14]. Viral-induced oncogenic transformation takes time, such that cervical cancer is typically diagnosed in women between the ages of 35–45. Nonetheless, HPV is now proven to cause cervical cancer, since the incidence of cervical cancer has been eliminated in women born after 1995 who are vaccinated against HPV [15].
In the case of breast cancer, while a human oncogenic breast cancer virus has not been identified, similar low infectivity and a slowly transforming viral pathogen might account for the slow increase in breast cancer incidence in migrants, requiring years to become manifest. The most plausible environmental factor that could account for geographic variation in human breast cancer incidence is the zoonotic transmission of the mouse mammary tumor virus (MMTV) from mice to humans, given the geographic distribution of mouse strains carrying different loads of MMTV [16]. MMTV is a betaretrovirus that causes mammary tumors in mice [17] and is detected in up to 40% of human breast tumors [18]. Retroviruses are intimately adapted to their hosts, such that transmission across species is limited. In the case of MMTV, the virus transmitted in breast milk infects pups through lymphocytes at Peyer’s patches in the duodenum [19], and the superantigen response and infected lymphocytes ensure MMTV is transmitted to mammary glands that are formed in the first postnatal weeks [20]. Mice reach sexual maturity at 4 weeks of age [21], ready to begin the cycle of transmission anew. Mammary tumors do not appear until 8–18 months, depending on environmental stresses [22]. In contrast, human females reach puberty at ~12–14 years of age, and breast cancer does not appear until many years later, with the risk increasing with a later age of menopause onset [23]. Given these chronological differences, the acquisition of MMTV by humans is likely to be infrequent and limited. Even though MMTV has been detected in dental calculus from ancient human skulls [24], suggesting its presence in saliva, MMTV is unlikely to be transmitted easily between humans, given the presence of different viral strains in a family cluster [25].
In contrast to other tumor types that display varying levels of immunogenicity (where the host recognizes and raises an immune response against the tumors) [26], MMTV-positive mammary tumors in mice are poorly immunogenic, highly tumorigenic, invasive, and spontaneously metastasize to distant organs [27]. Early observations on the poorly immunogenic properties of human breast tumors [28] led Stewart et al. to examine the consequence of chronic immunosuppression on breast cancer in women chronically immunosuppressed after organ transplantation [29]. Remarkably, these women have a reduced incidence of de novo breast cancer, suggesting that the weak immune response promotes human breast cancer growth, as in mice [29]. In the same year, Beatriz Pogo’s group identified MMTV-like sequences in human breast tumors [18].
We proposed that MMTV might be transmitted to humans from house mice, particularly from the Western European house mouse Mus musculus domesticus, and account for the geographic variation in breast cancer incidence [16]. House mice are a commensal species; they live where humans live and eat what humans eat. Since we proposed this zoonotic hypothesis for MMTV contributing to human breast cancer, there have been many reports confirming the presence of MMTV in a subset of human breast tumors (see the meta-analysis by Wang et al. [30] and extensive references therein). Our hypothesis for MMTV zoonosis to account for geographic differences in breast cancer incidence made several assumptions: (1) Different species of house mice inhabit and are established in different regions and this distribution has remained constant over time. (2) Different species of house mice shed different strains or different viral loads of exogenous MMTV. (3) Susceptibility to MMTV infection would be similar among different human populations, explaining the migrant effect. (4) Mouse population densities will be correlated with viral transmission to humans. Here, we re-examined the evidence to support or refute these assumptions.

2. Materials and Methods

2.1. Testing for Association of Breast Cancer and M. m. domesticus Populations

Female breast cancer world age-standardized incidence rates (WASIR) were compared by geographic location for data available at the time of our previous report [16] to data available currently from the International Agency for Cancer Research of the World Health Organization (https://gco.iarc.fr/, accessed on 6 December 2021). For countries in Europe, data were binned according to lands of M. m. domesticus, M. m. musculus and lands in between where hybrid mice are found based on genotyping and phylogenetic evidence; and mean WASIR were compared by two-way random measures ANOVA to determine whether they differ by mouse populations, whether they have changed over time, and whether there is an interaction between mouse populations and time. Post-hoc comparisons were carried out using Sidak’s test and differences were considered significant at the p < 0.05 level, after correcting for multiple comparisons. For non-European locations, WASIR were similarly compared between countries or localities where M. m. domesticus is the prevalent species to countries or localities where other mice (M. m. musculus, M. m. castaneus) are the resident species. Statistical analysis was carried out using GraphPad Prism software.

2.2. Correlation of Mouse Population Outbreaks and Annual Breast Cancer Incidence Rates

To address the hypothesis that mouse population density might correlate with viral load and human exposure to MMTC, the annual incidence rates of breast cancer for New South Wales, Australia (https://www.cancer.nsw.gov.au/, accessed on 3 January 2022) and New Zealand (https://www.health.govt.nz/publication/cancer-historical-summary-1948–2017, accessed on 3 January 2022) were plotted between 1972 and 2001. In these two localities, where M. m. domesticus is the endemic mouse species, mouse population outbreaks occur with cyclical regularity and have been well documented [31,32,33].

3. Results

3.1. Breast Cancer Incidence Rates Still Associate with M. m. domesticus Range in Europe

There are essentially 3 sub-species of the house mouse Mus musculus (M. m.): M. m. musculus found in eastern Europe and Asia, M. m. castaneus found in Asia, and M. m. domesticus, originally from the Middle East. They are thought to have spread to North Africa and Western Europe, but whose range spread globally during the period of European colonization to North and South America, Hawaii, Australia, New Zealand and parts of sub-Saharan Africa [34,35,36]. In European countries segregated by their endogenous mouse populations, breast cancer incidence rates continue to show a strong association with the range of M. m. domesticus (Table 1 and Figure 1A). Two-way random measures ANOVA showed a significant main effect of location (F2,23 = 20.61, p < 0.0001) and time (F1,23 = 114.3, p < 0.0001), reflecting a significant increase in the breast cancer incidence rate overall, with a nearly 1.7-fold increase in Eastern Europe. There was no interaction between the incidence rate by mouse location and time, suggesting that the range of M. m. domesticus has remained relatively constant. Pairwise comparisons between the mean rates for M. m. domesticus lands and lands with hybrid mice, were not significant but were significant between M. m. domesticus and M. m. musculus lands (p < 0.0001 for both 1997 and 2020) and between the hybrid lands and M. m. musculus lands (p = 0.0005 for 1997 and p = 0.0036 for 2020). This result suggests that hybrid mice carry the same risk of transmitting MMTV to humans as do M. m. domesticus mice.

3.2. Breast Cancer Incidence Rates Are No Longer Segregated by M. m. domesticus Range outside of Europe

In non-European countries (excluding sub-Saharan Africa), the incidence of breast cancer has remained elevated in lands where M. m. domesticus is the resident or introduced species (Table 2). In contrast, lands traditionally considered to be primarily populated by M. m. musculus or M. m. castaneus have seen a nearly 3-fold increase in breast cancer incidence rates, such that the difference in breast cancer incidence between lands of M. m. domesticus and these other mice is no longer significant (Table 2 and Figure 1B). Two-way random measures ANOVA showed a significant effect of location (F1,21 = 8.314, p = 0.0089), of time (F1,21 = 25.13, p < 0.0001) and a significant interaction between location and time (F1,21 = 4.617, p = 0.0435), indicating a change over time by location. Pairwise comparisons showed a significant association of breast cancer incidence rates with lands of M. m. domesticus in 1997 (p = 0.0021) but no longer in 2020 (p = 0.1745). At face value, this result undermines the zoonotic hypothesis if one assumes the ranges of these mice have not changed or that M. m. domesticus has not hybridized with M. m. musculus or M. m. castaneus mice in these locations.

3.3. Cyclical Mouse Population Outbreaks Precede Increases in Breast Cancer Incidence Rates

Outbreaks in mouse populations have been documented in Australia [31,32], New Zealand [33], Hawaii [37], and California [38]. If the mouse population density bursts in the vicinity of urban centers, and increases the viral exposure of humans, one would expect transient increases in breast cancer incidence rates after a certain delay, following increased exposure. In mice, mammary tumors in the susceptible C3H/He strain develop between 8 and 18 months, dependent on environmental stress, which greatly accelerates tumor appearance [22]. We do not know how long after a mouse population outbreak exposed humans display an increased breast cancer incidence if mice from rural areas invade urban centers. In New South Wales, Australia, the cancer registry documented a marked increase in breast cancer incidence rates from 1972 to 2001, and the increase was not linear but displayed cyclical increases followed by temporary drops (Figure 2A). New South Wales, one of the principal wheat-growing regions of Australia, experiences cyclical outbreaks in the M. m. domesticus mouse population [31,32]. Even in 2021, this problem was ongoing and severe, as highlighted in this video (https://www.youtube.com/watch?v=sJysxVeVusU, accessed on 8 March 2022). The plotting of the mouse outbreaks on a chart of breast cancer incidence rates suggests that mouse outbreaks contribute to a modest increase in breast cancer incidence rates, and have a lag of approximately 3 years. For New South Wales, after the 1979 outbreak, the annual breast cancer incidence rate increased 15 times in the following 22 years (until 2001), resulting in a probability of 0.682, but occurred 7 out of 9 times within 3 years after an outbreak (the probability that this occurred by chance is p = 0.069). Similarly for New Zealand, mouse population outbreaks in the Orongorongo Valley, located about 40 km from Wellington, have been documented over 25 years from 1972 to 1996 and trap densities of greater than 10 per 100 traps/night [33] were included in the chart (Figure 2B). Here too, a lag of approximately 3 years follows mouse population outbreaks. The first outbreak for New Zealand was recorded in 1976 and breast cancer incidence rates increased 13 times in the next 25 years (probability of 0.52) but within 3 years of each of the 5 population outbreaks (the probability that this occurred by chance is p = 0.038). As a control, we included age-standardized incidence rates for all of Canada, covering a vast geographic area (Figure 2C). Mouse population outbreaks are not well documented in Canada but would affect regional rather than national incidence rates. Of note, a deer mouse (Peromyscus maniculatus) population surge in 1985 was noted in the forests on Ontario [39], 3 years before a surge in breast cancer incidence (Ontario is Canada’s largest province by population). Otherwise, breast cancer incidence was relatively steady from 1988 to 2001.

4. Discussion

Here, we have revisited the MMTV zoonosis hypothesis that we proposed 22 years ago to account for the geographic variation in human breast cancer incidence rates [16]. In addition, we compared the incidence rates of breast cancer in Australia and New Zealand where mouse population outbreaks have been well documented over a long period of time to correlate mouse densities to changes in human breast cancer incidence rates. Consistent with our prior study, incidence rates remained associated with the range of M. m. domesticus in Europe, but this association no longer held for other countries outside of Europe, likely because M. m. domesticus range has expanded to countries where it was not present before (see below).
Does globalization account for the redistribution of M. m. domesticus and MMTV?
Geographic variation in breast cancer incidence has been reported within China, with a higher incidence in northern China correlated with the presence of MMTV-like DNA sequences detected in breast tumors; in 22% of breast tumor specimens from Hebei (northern China) and only 5.7% of specimens from Jiande (southern China) [30]. Furthermore, a meta-analysis of published studies identifying MMTV-like DNA sequences from various locations confirmed the correlation of MMTV-like viral sequences with the M. m. domesticus distribution [30]. The highest breast cancer incidence in continental China was reported for Shanghai, where the age-standardized incidence rate from 1973 to 2012 rose from 17/100,000 to 41/100,000 [41]. It is worth noting that Shanghai is the largest harbor in the world (https://www.worldshipping.org/top-50-ports, accessed on 8 March 2022) and that a country-wide survey of mice in China, classifying mice using mitochondrial D-loop sequences, confirmed the presence of wild-caught M. m. domesticus mice in Shanghai [42]. This finding suggests that China is no longer a land strictly of M. m. musculus and M. m. castaneus. Furthermore, given the ability of M. m. domesticus mice to hybridize with M. m. castaneus mice introduced to North America at lake Casitas in California [43], the introduction of M. m. domesticus to China is likely to have a significant impact on breast cancer incidence in the coming years.
Taiwan is another example where the incidence has gone from 17/100,000 in 1995 [44] to 93 per 100,000 in 2017 [45], as high as in the United States. While M. m. domesticus mice have not been identified in Taiwan, M. m. castaneus mice were found to have some M. m. domesticus haplotypes in mitochondrial D-loop sequences [46], perhaps reflecting a historical admixture from M. m. domesticus mice introduced by the Portuguese in the 16th century, or the Spaniards in the 17th century, or more recently from wheat shipments from the United States, Australia and Canada (https://www.statista.com/statistics/1058261/taiwan-import-market-share-of-durum-wheat-by-country/, accessed on 8 March 2022), including all lands of M. m. domesticus. It is worth noting that the incidence of murine typhus, transmitted to humans from mice by fleas infected with Ricketsia typhi, is highest in the proximity of major international seaports in Taiwan [47]. While pet dog ownership in Taiwan and China has become very popular in recent years [48], and while an initial retrospective study suggested that dog owners were at increased risk of developing breast cancer [49], this observation has not been confirmed in a larger prospective study [50]. As we suggested previously, direct fecal-oral transmission from mice to humans seems more likely [16].
The consumption of ultra-processed foods with increasing wealth might be a confounding factor contributing to the increased incidence of breast cancer worldwide [51]. However, it is important to note that while Europe has seen an increase in breast cancer incidence overall, processed food consumption in women has fallen in Austria, Belgium, Denmark, the Netherlands, Sweden [52]; countries where incidence increased or remained elevated. Thus, while increased processed food consumption in non-European countries might have contributed to increased breast cancer incidence, it cannot account for the increased breast cancer incidence in Europe.
Continued expansion of the range of M. m. domesticus in sub-Saharan Africa.
At the time of our previous report in 2000, very little was known about the mice of sub-Saharan Africa. Breast cancer incidence was also poorly documented in this region. Recent reports have documented a near doubling in breast cancer incidence in Senegal, from 869 cases in 2012 (pop. 14.6 million) to 1817 cases in 2020 (pop. 16.7 million), exceeding the 25% increase in population (https://gco.iarc.fr/; https://borgenproject.org/6-facts-about-breast-cancer-in-senegal/, accessed on 8 March 2022). With the construction of roads inland from the coastal cities, so has the range of M. m. domesticus also spread inland in the past 30 years of trapping. In the decade from 1983 to 1992, M. m. domesticus mice were largely restricted to coastal areas, and in the north of Senegal, from 1993 to 2002, they had spread inland several hundred kilometers. In the most recent decade from 2003 to 2012, they were found right across Senegal from East to West and are now detected South of the Gambia [53]. Given that 42% of Senegal’s population lives in rural areas, it will be important to track the geographic prevalence of breast cancer incidence in Senegal with this recent expansion in the range of M. m. domesticus.
Apobec3 variant confers resistance to MMTV in mice.
One of the assumptions of the zoonosis hypothesis is that different subgenera of Mus musculus carry different strains of MMTV or show different susceptibilities to MMTV infection. In mice, several variants in the Apobec3 gene (apolipoprotein B mRNA-editing complex; A3) confer resistance to infection caused by the MMTV(RIII) strain [54,55]. These variants occur in the three subgenera of the genus Mus: M. m. musculus, M. m. domesticus, M. m. castaneus. The distribution of Apobec3 alleles in these mouse subgenera, and even among mouse populations of the same subgenera in different geographic locations, is highly variable and may account for differences in MMTV viral load [56]. However, other strains of MMTV have been identified in inbred laboratory mice as well as in wild-caught mice [57,58,59], and the effect of the Apobec3 allele on susceptibility to these different MMTV strains has not been compared. We previously pointed out that M. m. domesticus mice have more endogenous (genome-integrated) copies of MMTV compared to M. m. musculus and M. m. castaneus mice [16], providing a wider repertoire for recombination [60] to generate different exogenous viruses. Given the diversity of MMTV exogenous viruses, some are likely to escape restriction by the Apobec3 variant. Moreover, since mouse strains lacking the Apobec3 MMTV-resistance allele (e.g., I/LnJ, YBR and PERA mice) are still resistant to MMTV infection [55], other genetic factors also confer resistance to MMTV infection and remain to be identified.
Human APOBEC3 variant and breast cancer susceptibility coincides with M. m. domesticus range.
While Apobec3 is a single gene in mice, tandem duplications have produced a cluster of APOBEC3 (A–G) genes in humans that play a key role in protecting against the human immunodeficiency virus [61,62]. There is a common deletion in the APOBEC3 cluster that lowers the expression of APOBEC3A and APOBEC3B genes [63]. This deletion increased the risk of breast cancer in a large cohort in the United States [64] (land of M. m. domesticus). This finding has been replicated in a smaller study of women from Southeast Iran (land of M. m. domesticus). However, several other studies have not observed this association in South India [65] (land of M. m. castaneus), nor in large studies from Poland [63] (land of M. m. musculus), Norway [66] nor Sweden [67] (lands of hybrid mice between M. m. musculus and M. m. domesticus). If the deletion does contribute to breast cancer risk, the presence or absence of an association may reflect differences in endemic strains of MMTV.
Intriguingly, large studies from Malaysia [68] (land of M. m. castaneus) and from Shanghai (previously considered exclusive M. m. musculus and M. m. castaneus territory, see below) also found a significant association of the deletion with breast cancer risk [69]. M. m. castaneus mice trapped in Malaysia were reported to carry a complete endogenous MMTV proviral sequence [59], so these mice may have higher exogenous MMTV loads, whereas the recent discovery of wild-caught M. m. domesticus mice in Shanghai suggests a recent invasion [42] and may help explain the increased breast cancer risk associated with human APOBEC3 deletion.
Antiretroviral therapy reduces the incidence of breast cancer.
Another human population that might be resistant to MMTV infection are individuals infected by the human immunodeficiency virus on antiretroviral therapy. Highly active antiretroviral therapy came into clinical practice in 1996; however, given that most cases would have been younger individuals, the effect of therapy on breast cancer incidence (a disease that increases in incidence in postmenopausal women in western countries) did not appear until 2010 [70]. In contrast with many other cancers, antiretroviral therapy for the treatment of HIV infection lowers the risk of breast cancer. In the first 3–5 years after HIV diagnosis, the breast cancer standardized incidence ratio (SIR) was reported at 0.6 and fell to 0.5 for the next 5–10 years after HIV diagnosis [70]. This observation has been confirmed among older persons living with HIV in the United States, for whom the SIR for breast cancer was reported at 0.61 in 2018 [71]. Whether HIV therapy prevents infection by another retrovirus (MMTV) by inhibiting its reverse transcriptase, or whether chronic immunosuppression in HIV carriers accounts for a reduced incidence, remains an open question. Antiretroviral therapy applied to the NOD.C3C4 mouse model of primary biliary cirrhosis, another human disease linked to MMTV infection [72], was shown to reduce MMTV viral loads [73].

5. Conclusions

The incidence of breast cancer has been growing globally. Lands that were previously free of the Western European house mouse M. m. domesticus have become gradually invaded (e.g., Shanghai and inland Senegal), and hybrid mice bearing exogenous strains of MMTV previously alien to these localities, may pose serious risks to the commensal human populations. If the global COVID-19 pandemic has taught us anything, it is that zoonotic infections are a serious threat to human wellbeing. Nonetheless, these epidemics can be brought under control with the rapid development and government-sponsored deployment of vaccines. A similar vaccination strategy targeting MMTV could be expected to significantly reduce breast cancer incidence and mortality worldwide.

Author Contributions

Conceptualization, data curation, and formal analysis, A.F.R.S.; writing—original draft preparation, A.F.R.S.; writing—review and editing, A.F.R.S. and H.-H.C.; funding acquisition, A.F.R.S. and H.-H.C. All authors have read and agreed to the published version of the manuscript.

Funding

Supported by operating grants from the Canadian Institutes of Health Research (376403, H.-H.C.; 376503, A.F.R.S.), and discovery grants from the Natural Sciences and Engineering Research Council of Canada (RGPIN-2019-03942, H.-H.C.; RGPIN-2016-04985, A.F.R.S.).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All data are reported within the manuscript or in supporting references.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

  1. Hunter, D.J.; Hankinson, S.E.; Laden, F.; Colditz, G.A.; Manson, J.E.; Willett, W.C.; Speizer, F.E.; Wolff, M.S. Plasma organochlorine levels and the risk of breast cancer. N. Engl. J. Med. 1997, 337, 1253–1258. [Google Scholar] [CrossRef] [PubMed]
  2. Parkin, D.M.; Whelan, S.L.; Ferlay, J.; Teppo, L.; Thomas, D.B.E. Cancer Incidence in Five Continents Volume VIII; IARC Scientific Publication: Lyon, France, 2002; p. 831. [Google Scholar]
  3. Ziegler, R.G.; Hoover, R.N.; Pike, M.C.; Hildesheim, A.; Nomura, A.M.Y.; West, D.W.; Wu-Williams, A.H.; Kolonel, L.N.; Horn-Ross, P.L.; Rosenthal, J.F.; et al. Migration patterns and breast cancer risk in asian-american women. J. Natl. Cancer Inst. 1993, 85, 1819–1827. [Google Scholar] [CrossRef] [PubMed]
  4. Iscovich, J.; Howe, G.R. Cancer incidence patterns (1972-91) among migrants from the Soviet Union to Israel. Cancer Causes Control. 1998, 9, 29–36. [Google Scholar] [CrossRef] [PubMed]
  5. Winter, H.; Cheng, K.; Cummins, C.; Maric, R.; Silcocks, P.; Varghese, C. Cancer incidence in the south Asian population of England (1990–92). Br. J. Cancer 1999, 79, 645–654. [Google Scholar] [CrossRef]
  6. Iwasaki, M.; Inoue, M.; Sasazuki, S.; Kurahashi, N.; Itoh, H.; Usuda, M.; Tsugane, S.; Japan Public Health Center-based Prospective Study Group. Plasma organochlorine levels and subsequent risk of breast cancer among Japanese women: A nested case–control study. Sci. Total Environ. 2008, 402, 176–183. [Google Scholar] [CrossRef] [PubMed]
  7. Hunter, D.J.; Spiegelman, D.; Adami, H.-O.; Beeson, L.; Brandt, P.A.V.D.; Folsom, A.R.; Fraser, G.E.; Goldbohm, R.A.; Graham, S.; Howe, G.R.; et al. Cohort studies of fat intake and the risk of breast cancer—A pooled analysis. N. Engl. J. Med. 1996, 334, 356–361. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Brown, L.M.; Gridley, G.; Wu, A.H.; Falk, R.T.; Hauptmann, M.; Kolonel, L.N.; West, D.W.; Nomura, A.M.Y.; Pike, M.C.; Hoover, R.N.; et al. Low level alcohol intake, cigarette smoking and risk of breast cancer in Asian-American women. Breast Cancer Res. Treat. 2010, 120, 203–210. [Google Scholar] [CrossRef] [PubMed]
  9. Slattery, M.L.; Kerber, R.A. A comprehensive evaluation of family history and breast cancer risk. The Utah population database. JAMA J. Am. Med. Assoc. 1993, 270, 1563–1568. [Google Scholar] [CrossRef]
  10. Colditz, G.A.; Willett, W.C.; Hunter, D.J.; Stampfer, M.J.; Manson, J.E.; Hennekens, C.H.; Rosner, B.A. Family history, age, and risk of breast cancer. Prospective data from the nurses’ health study. JAMA J. Am. Med. Assoc. 1993, 270, 338–343. [Google Scholar] [CrossRef]
  11. Michailidou, K.; Lindstrom, S.; Dennis, J.; Beesley, J.; Hui, S.; Kar, S.; Lemacon, A.; Soucy, P.; Glubb, D.; Rostamianfar, A.; et al. Association analysis identifies 65 new breast cancer risk loci. Nature 2017, 551, 92–94. [Google Scholar] [CrossRef] [Green Version]
  12. Zhang, H.; Ahearn, T.U.; Lecarpentier, J.; Barnes, D.; Beesley, J.; Qi, G.; Jiang, X.; O’Mara, T.A.; Zhao, N.; Bolla, M.K.; et al. Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses. Nat Genet 2020, 52, 572–581. [Google Scholar] [CrossRef] [PubMed]
  13. Mavaddat, N.; Pharoah, P.D.P.; Michailidou, K.; Tyrer, J.; Brook, M.; Bolla, M.K.; Wang, Q.; Dennis, J.; Dunning, A.M.; Shah, M.; et al. Prediction of breast cancer risk based on profiling with common genetic variants. J. Natl. Cancer Inst. 2015, 107, 5. [Google Scholar] [CrossRef] [PubMed]
  14. Burchell, A.N.; Coutlée, F.; Tellier, P.-P.; Hanley, J.; Franco, E. Genital transmission of human papillomavirus in recently formed heterosexual couples. J. Infect. Dis. 2011, 204, 1723–1729. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Falcaro, M.; Castañon, A.; Ndlela, B.; Checchi, M.; Soldan, K.; Lopez-Bernal, J.; Elliss-Brookes, L.; Sasieni, P. The effects of the national HPV vaccination programme in England, UK, on cervical cancer and grade 3 cervical intraepithelial neoplasia incidence: A register-based observational study. Lancet 2021, 398, 2084–2092. [Google Scholar] [CrossRef]
  16. Stewart, T.H.M.; Sage, R.D.; Stewart, A.; Cameron, D.W. Breast cancer incidence highest in the range of one species of house mouse, Mus domesticus. Br. J. Cancer 2000, 82, 446–451. [Google Scholar] [CrossRef] [Green Version]
  17. Bittner, J.J. Some possible effects of nursing on the mammary gland tumor incidence in mice. Science 1936, 84, 162. [Google Scholar] [CrossRef] [PubMed]
  18. Wang, Y.; Holland, J.F.; Bleiweiss, I.J.; Melana, S.; Liu, X.; Pelisson, I.; Cantarella, A.; Stellrecht, K.; Mani, S.; Pogo, B.G. Detection of mammary tumor virus env gene-like sequences in human breast cancer. Cancer Res. 1995, 55, 5173–5179. [Google Scholar]
  19. Karapetian, O.; Shakhov, A.N.; Kraehenbuhl, J.P.; Acha-Orbea, H. Retroviral infection of neonatal Peyer’s patch lymphocytes: The mouse mammary tumor virus model. J. Exp. Med. 1994, 180, 1511–1516. [Google Scholar] [CrossRef] [Green Version]
  20. Golovkina, T.V.; Dudley, J.P.; Ross, S.R. B and T cells are required for mouse mammary tumor virus spread within the mammary gland. J. Immunol. 1998, 161, 2375–2382. [Google Scholar]
  21. Drickamer, L.C. Seasonal variation in litter size, bodyweight and sexual maturation in juvenile female house mice (Mus musculus). Lab. Anim. 1977, 11, 159–162. [Google Scholar] [CrossRef] [Green Version]
  22. Riley, V. Mouse mammary tumors: Alteration of incidence as apparent function of stress. Science 1975, 189, 465–467. [Google Scholar] [CrossRef] [PubMed]
  23. Trichopoulos, D.; MacMahon, B.; Cole, P. Menopause and breast cancer risk. J. Natl. Cancer Inst. 1972, 48, 605–613. [Google Scholar] [PubMed]
  24. Lessi, F.; Grandi, N.; Mazzanti, C.M.; Civita, P.; Scatena, C.; Aretini, P.; Bandiera, P.; Fornaciari, A.; Giuffra, V.; Fornaciari, G.; et al. A human MMTV-like betaretrovirus linked to breast cancer has been present in humans at least since the copper age. Aging 2020, 12, 15978–15994. [Google Scholar] [CrossRef] [PubMed]
  25. Etkind, P.R.; Stewart, A.F.; Wiernik, P.H. Mouse mammary tumor virus (MMTV)-like DNA sequences in the breast tumors of father, mother, and daughter. Infect. Agents Cancer 2008, 3, 2–11. [Google Scholar] [CrossRef] [Green Version]
  26. Blankenstein, T.; Coulie, P.G.; Gilboa, E.; Jaffee, E.M. The determinants of tumour immunogenicity. Nat. Rev. 2012, 12, 307–313. [Google Scholar] [CrossRef]
  27. Pulaski, B.A.; Ostrand-Rosenberg, S. Mouse 4T1 breast tumor model. Curr. Protoc. Immunol. 2000, 39, 20–22. [Google Scholar] [CrossRef]
  28. Stewart, T.H.M.; Orizaga, M. The presence of delayed hypersensitivity reactions in patients toward cellular extracts of their malignant tumors.3. The frequency, duration, and cross reactivity of this phenomenon in patients with breast cancer, and its correlation with survival. Cancer 1971, 28, 1472–1478. [Google Scholar] [CrossRef]
  29. Stewart, T.; Tsai, S.-C.; Grayson, H.; Henderson, R.; Opelz, G. Incidence of de-novo breast cancer in women chronically immunosuppressed after organ transplantation. Lancet 1995, 346, 796–798. [Google Scholar] [CrossRef]
  30. Wang, F.-L.; Zhang, X.-L.; Yang, M.; Lin, J.; Yue, Y.-F.; Li, Y.-D.; Wang, X.; Shu, Q.; Jin, H.-C. Prevalence and characteristics of mouse mammary tumor virus-like virus associated breast cancer in China. Infect. Agents Cancer 2021, 16, 47. [Google Scholar] [CrossRef]
  31. Singleton, G.; Krebs, C.J.; Davis, S.; Chambers, L.; Brown, P. Reproductive changes in fluctuating house mouse populations in southeastern Australia. Proc. Biol. Sci. 2001, 268, 1741–1748. [Google Scholar] [CrossRef] [Green Version]
  32. Saunders, G.; Robards, G. Economic considerations of mouse-plague control in irrigated sunflower crops. Crop. Prot. 1983, 2, 153–158. [Google Scholar] [CrossRef]
  33. Choquenot, D.; Ruscoe, W.A. Mouse population eruptions in New Zealand forests: The role of population density and seedfall. J. Anim. Ecol. 2001, 69, 1058–1070. [Google Scholar] [CrossRef]
  34. Searle, J.B.; Jamieson, P.M.; Gündüz, I.; Stevens, M.I.; Jones, E.P.; Gemmill, C.E.; King, C.M. The diverse origins of New Zealand house mice. Proc. Biol. Sci. 2009, 276, 209–217. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Bonhomme, F.; Orth, A.; Cucchi, T.; Rajabi-Maham, H.; Catalan, J.; Boursot, P.; Auffray, J.-C.; Britton-Davidian, J. Genetic differentiation of the house mouse around the Mediterranean basin: Matrilineal footprints of early and late colonization. Proc. Biol. Sci. 2010, 278, 1034–1043. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Gabriel, S.I.; Stevens, M.I.; Mathias, M.D.L.; Searle, J.B. Of mice and ‘convicts’: Origin of the Australian house mouse, mus musculus. PLoS ONE 2011, 6, e28622. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Tomich, P.Q. Mammals in Hawai’i: A Synopsis and Notational Bibliography, 2nd ed.; Bishop Museum Press: Honolulu, HI, USA, 1986; p. 375. [Google Scholar]
  38. Nowak, R.M. Mammals of the World, 6th ed.; The Johns Hopkins University Press: Baltimore, MD, USA, 1999. [Google Scholar]
  39. Falls, J.B.; Falls, E.A.; Fryxell, J.M. Fluctuations of deer mice in ontario in relation to seed crops. Ecol. Monogr. 2007, 77, 19–32. [Google Scholar] [CrossRef]
  40. National Cancer Institute of Canada. National Cancer Institute of Canada: Canadian Cancer Statistics 2001; National Cancer Institute of Canada: Toronto, ON, Canada, 2001; p. 90.
  41. Huang, Z.; Wen, W.; Zheng, Y.; Gao, Y.; Wu, C.; Bao, P.; Wang, C.; Gu, K.; Peng, P.; Gong, Y.; et al. Breast cancer incidence and mortality: Trends over 40 years among women in Shanghai, China. Ann. Oncol. 2016, 27, 1129–1134. [Google Scholar] [CrossRef]
  42. Chao, T.; Cai, H.; Zhou, Y.; Li, K.; Xiao, J. Distribution of Subspecies of the House Mouse, Mus musculus (Rodentia: Muridae) in East China as Inferred from Mitochondrial D-loop Sequences. Pak. J. Zool. 2017, 49, 1175–1184. [Google Scholar] [CrossRef]
  43. Orth, A.; Adama, T.; Din, W.; Bonhomme, F. Natural hybridization between two subspecies of the house mouse, Mus musculus domesticus and Mus musculus castaneus, near Lake Casitas, California. Genome 1998, 41, 104–110. [Google Scholar] [CrossRef]
  44. Chie, W.-C.; Chen, C.F.; Chen, C.J.; Chang, C.L.; Liaw, Y.P.; Lin, R.S. Geographic variation of breast cancer in Taiwan: International and migrant comparison. Anticancer Res. 1995, 15, 2745–2749. [Google Scholar]
  45. Liu, F.-C.; Lin, H.T.; Kuo, C.-F.; See, L.-C.; Chiou, M.-J.; Yu, H.-P. Epidemiology and survival outcome of breast cancer in a nationwide study. Oncotarget 2017, 8, 16939–16950. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Geraldes, A.; Basset, P.; Gibson, B.; Smith, K.L.; Harr, B.; Yu, H.-T.; Bulatova, N.; Ziv, Y.; Nachman, M.W. Inferring the history of speciation in house mice from autosomal, X-linked, Y-linked and mitochondrial genes. Mol. Ecol. 2008, 17, 5349–5363. [Google Scholar] [CrossRef] [Green Version]
  47. Kuo, C.C.; Wardrop, N.; Chang, C.T.; Wang, H.C.; Atkinson, P.M. Significance of major international seaports in the distribution of murine typhus in Taiwan. PLoS Negl. Trop. Dis. 2017, 11, e0005430. [Google Scholar]
  48. Li, C.; Chen, Q.; Zhang, X.; Li, H.; Liu, Q.; Fei, P.; Huang, L.; Yao, Z. Early life domestic pet ownership, and the risk of pet sensitization and atopic dermatitis in preschool children: A prospective birth cohort in Shanghai. Front. Pediatr. 2020, 8, 192. [Google Scholar] [CrossRef] [PubMed]
  49. Laumbacher, B.; Fellerhoff, B.; Herzberger, B.; Wank, R. Do dogs harbour risk factors for human breast cancer? Med. Hypotheses 2006, 67, 21–26. [Google Scholar] [CrossRef] [PubMed]
  50. Garcia, D.O.; Lander, E.M.; Wertheim, B.C.; Manson, J.E.; Volpe, S.L.; Chlebowski, R.T.; Stefanick, M.L.; Lessin, L.S.; Kuller, L.H.; Thomson, C.A. Pet ownership and cancer risk in the women’s health initiative. Cancer Epidemiol. Biomark. Prev. 2016, 25, 1311–1316. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  51. Fiolet, T.; Srour, B.; Sellem, L.; Kesse-Guyot, E.; Alles, B.; Mejean, C.; Deschasaux, M.; Fassier, P.; Latino-Martel, P.; Beslay, M.; et al. Consumption of ultra-processed foods and cancer risk: Results from NutriNet-Sante prospective cohort. BMJ 2018, 360, k322. [Google Scholar] [CrossRef] [Green Version]
  52. Mertens, E.; Colizzi, C.; Peñalvo, J.L. Ultra-processed food consumption in adults across Europe. Eur. J. Nutr. 2021, 1–19. [Google Scholar] [CrossRef] [PubMed]
  53. Dalecky, A.; Bâ, K.; Piry, S.; Lippens, C.; Diagne, C.A.; Kane, M.; Sow, A.; Diallo, M.; Niang, Y.; Koneczny, A.; et al. Range expansion of the invasive house mouse Mus musculus domesticus in Senegal, West Africa: A synthesis of trapping data over three decades, 1983-2014. Mammal Rev. 2015, 45, 176–190. [Google Scholar] [CrossRef]
  54. Okeoma, C.; Lovsin, N.; Peterlin, B.M.; Ross, S.R. APOBEC3 inhibits mouse mammary tumour virus replication in vivo. Nature 2007, 445, 927–930. [Google Scholar] [CrossRef]
  55. Okeoma, C.; Petersen, J.; Ross, S.R. Expression of murine APOBEC3 alleles in different mouse strains and their effect on mouse mammary tumor virus infection. J. Virol. 2009, 83, 3029–3038. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Sanville, B.; Dolan, M.A.; Wollenberg, K.; Yan, Y.; Martin, C.; Yeung, M.L.; Strebel, K.; Buckler-White, A.; Kozak, C.A. Adaptive evolution of Mus Apobec3 includes retroviral insertion and positive selection at two clusters of residues flanking the substrate groove. PLoS Pathog. 2010, 6, e1000974. [Google Scholar] [CrossRef] [PubMed]
  57. Sarkar, N.H.; Golovkina, T.; Uz-Zaman, T. RIII/Sa mice with a high incidence of mammary tumors express two exogenous strains and one potential endogenous strain of mouse mammary tumor virus. J. Virol. 2004, 78, 1055–1062. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  58. Niimi, N.; Wajjwalku, W.; Ando, Y.; Nakamura, N.; Ueda, M.; Yoshikai, Y. A novel V beta 2-specific endogenous mouse mammary tumor virus which is capable of producing a milk-borne exogenous virus. J. Virol. 1995, 69, 7269–7273. [Google Scholar] [CrossRef] [Green Version]
  59. Imai, S.; Okumoto, M.; Iwai, M.; Haga, S.; Mori, N.; Miyashita, N.; Moriwaki, K.; Hilgers, J.; Sarkar, N.H. Distribution of mouse mammary tumor virus in Asian wild mice. J. Virol. 1994, 68, 3437–3442. [Google Scholar] [CrossRef] [Green Version]
  60. Golovkina, T.V.; Piazzon, I.; Nepomnaschy, I.; Buggiano, V.; de Olano Vela, M.; Ross, S.R. Generation of a tumorigenic milk-borne mouse mammary tumor virus by recombination between endogenous and exogenous viruses. J. Virol. 1997, 71, 3895–3903. [Google Scholar] [CrossRef] [Green Version]
  61. Harris, R.S.; Liddament, M.T. Retroviral restriction by APOBEC proteins. Nat. Rev. Immunol. 2004, 4, 868–877. [Google Scholar] [CrossRef]
  62. McDonnell, M.M.; Karvonen, S.C.; Gaba, A.; Flath, B.; Chelico, L.; Emerman, M. Highly-potent, synthetic APOBEC3s restrict HIV-1 through deamination-independent mechanisms. PLoS Pathog. 2021, 17, e1009523. [Google Scholar] [CrossRef]
  63. Klonowska, K.; Kluzniak, W.; Rusak, B.; Jakubowska, A.; Ratajska, M.; Krawczynska, N.; Vasilevska, D.; Czubak, K.; Wojciechowska, M.; Cybulski, C.; et al. The 30 kb deletion in the APOBEC3 cluster decreases APOBEC3A and APOBEC3B expression and creates a transcriptionally active hybrid gene but does not associate with breast cancer in the European population. Oncotarget 2017, 8, 76357–76374. [Google Scholar] [CrossRef] [Green Version]
  64. Xuan, D.; Li, G.; Cai, Q.; Deming-Halverson, S.; Shrubsole, M.J.; Shu, X.-O.; Kelley, M.C.; Zheng, W.; Long, J. APOBEC3 deletion polymorphism is associated with breast cancer risk among women of European ancestry. Carcinogenesis 2013, 34, 2240–2243. [Google Scholar] [CrossRef] [Green Version]
  65. Revathidevi, S.; Manikandan, M.; Rao, A.K.D.M.; Vinothkumar, V.; Arunkumar, G.; Rajkumar, K.S.; Ramani, R.; Rajaraman, R.; Ajay, C.; Munirajan, A.K. Analysis of APOBEC3A/3B germline deletion polymorphism in breast, cervical and oral cancers from South India and its impact on miRNA regulation. Tumor Biol. 2016, 37, 11983–11990. [Google Scholar] [CrossRef] [PubMed]
  66. Gansmo, L.B.; Romundstad, P.; Hveem, K.; Vatten, L.; Nik-Zainal, S.; Lønning, P.E.; Knappskog, S. APOBEC3A/B deletion polymorphism and cancer risk. Carcinogenesis 2018, 39, 118–124. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  67. Göhler, S.; Filho, M.I.D.S.; Johansson, R.; Enquist-Olsson, K.; Henriksson, R.; Hemminki, K.; Lenner, P.; Försti, A. Impact of functional germline variants and a deletion polymorphism in APOBEC3A and APOBEC3B on breast cancer risk and survival in a Swedish study population. J. Cancer Res. Clin. Oncol. 2016, 142, 273–276. [Google Scholar] [CrossRef] [PubMed]
  68. Wen, W.X.; Soo, J.S.-S.; Kwan, P.Y.; Hong, E.; Khang, T.F.; Mariapun, S.; Lee, C.; Hasan, S.N.; Rajadurai, P.; Yip, C.H.; et al. Germline APOBEC3B deletion is associated with breast cancer risk in an Asian multi-ethnic cohort and with immune cell presentation. Breast Cancer Res. 2016, 18, 56. [Google Scholar] [CrossRef] [Green Version]
  69. Long, J.; Delahanty, R.J.; Li, G.; Gao, Y.-T.; Lu, W.; Cai, Q.; Xiang, Y.-B.; Li, C.; Ji, B.-T.; Zheng, Y.; et al. A Common Deletion in the APOBEC3 Genes and Breast Cancer Risk. J. Natl. Cancer Inst. 2013, 105, 573–579. [Google Scholar] [CrossRef]
  70. Simard, E.P.; Pfeiffer, R.M.; Engels, E.A. Spectrum of cancer risk late after AIDS onset in the United States. Arch. Intern. Med. 2010, 170, 1337–1345. [Google Scholar] [CrossRef] [Green Version]
  71. Mahale, P.; Engels, E.A.; Coghill, A.E.; Kahn, A.R.; Shiels, M.S. Cancer risk in older persons living with human immunodeficiency virus infection in the United States. Clin. Infect. Dis. 2018, 67, 50–57. [Google Scholar] [CrossRef] [Green Version]
  72. Xu, L.; Shen, Z.; Guo, L.; Fodera, B.; Keogh, A.; Joplin, R.; O’Donnell, B.; Aitken, J.; Carman, W.; Neuberger, J.; et al. Does a betaretrovirus infection trigger primary biliary cirrhosis? Proc. Natl. Acad. Sci. USA 2003, 100, 8454–8459. [Google Scholar] [CrossRef] [Green Version]
  73. Sharon, D.; Chen, M.; Zhang, G.; Girgis, S.; Sis, B.; Graham, D.; McDougall, C.; Wasilenko, S.T.; Montano-Loza, A.; Mason, A.L. Impact of combination antiretroviral therapy in the NOD.c3c4 mouse model of autoimmune biliary disease. Liver Int. 2014, 35, 1442–1450. [Google Scholar] [CrossRef] [Green Version]
Viruses 14 00559 g001 550
Figure 1. Mean world age-standardized incidence rates of breast cancer in 1997 versus 2020 according to the range of M. m. domesticus in Europe (A) and non-European lands (B), excluding sub-Saharan Africa. Data are presented as mean ± standard deviation.
Figure 1. Mean world age-standardized incidence rates of breast cancer in 1997 versus 2020 according to the range of M. m. domesticus in Europe (A) and non-European lands (B), excluding sub-Saharan Africa. Data are presented as mean ± standard deviation.
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Viruses 14 00559 g002 550
Figure 2. Mouse population outbreaks (black spikes) precede increases in breast cancer incidence by about 3–4 years in New South Wales (NSW), Australia (A) and New Zealand (B). World age-standardized incidence rate per 100,000 is plotted by year. Documented occurrence of mouse population outbreaks in NSW [31,32] and the Orongorongo Valley of Zealand [33] are indicated by vertical spikes. Horizontal lines show a 3-year span after an outbreak. (C) Canada age-standardized incidence rate per 100,000 (normalized to 1991 population) from 1972 to 2001 [2,40]. The sole vertical spike corresponds to a deer mouse population spike in the forests of Ontario [39].
Figure 2. Mouse population outbreaks (black spikes) precede increases in breast cancer incidence by about 3–4 years in New South Wales (NSW), Australia (A) and New Zealand (B). World age-standardized incidence rate per 100,000 is plotted by year. Documented occurrence of mouse population outbreaks in NSW [31,32] and the Orongorongo Valley of Zealand [33] are indicated by vertical spikes. Horizontal lines show a 3-year span after an outbreak. (C) Canada age-standardized incidence rate per 100,000 (normalized to 1991 population) from 1972 to 2001 [2,40]. The sole vertical spike corresponds to a deer mouse population spike in the forests of Ontario [39].
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Table
Table 1. Change in breast cancer incidence rate from 1997 to 2020 in Europe sorted by mouse range.
Table 1. Change in breast cancer incidence rate from 1997 to 2020 in Europe sorted by mouse range.
WASIR 1997WASIR 2020
M. m. domesticusIceland7981
Republic of Ireland6490
UK6988
Belgium92113
Germany *6282
France7599
Spain4678
Portugal5371
Italy7287
Netherlands101101
HybridNorway5483
Sweden7384
Finland6592
Denmark7398
Croatia3769
Austria6970
M. m. musculusPoland4069
Romania3966
HungaryNA77
Estonia3663
Latvia3463
Lithuania2962
Belarus3052
Ukraine3944
Czech Republic4572
Slovak Republic3960
Slovenia4669
* Data for Germany 1997 are from the German province/state of “Saarland” due to privacy laws in the rest of Germany that prevented reporting of aggregate breast cancer incidence. Pairwise comparisons by Sidak’s test of the means of each group not weighted by individual populations revealed significant increases in cancer rates between 1997 and 2020 in all groups (M. m. domesticus, p = 0.0051; Hybrid, p = 0.0116; M. m. musculus, p = 0.0001).
Table
Table 2. Change in breast cancer incidence rate from 1997 to 2020 in non-European lands (excluding sub-Saharan Africa) according to the range of M. m. domesticus.
Table 2. Change in breast cancer incidence rate from 1997 to 2020 in non-European lands (excluding sub-Saharan Africa) according to the range of M. m. domesticus.
WASIR 1997WASIR 2020
M. m. domesticusAlgeria1055.8
Ecuador2738.2
Costa Rica2947.5
Peru3135.9
Columbia3948.3
Brazil4461.9
Puerto Rico4668.2
Argentina6073.1
Australia6796
Canada7782
New Zealand7793
Israel7778.3
USA7990.3
Hawaii97139
Uruguay9365
Other miceSouth Korea20.864.2
Thailand 1237.8
Taiwan 1793
Vietnam1834.2
India2125.8
China 2639.1
Japan 2676.3
Pairwise comparisons by Sidak’s test of the means of each group not weighted by individual populations revealed a significant increase in cancer rates between 1997 and 2020 only for lands of Other mice (M. m. domesticus, p = 0.2501; Other, p = 0.0305).
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Stewart, A.F.R.; Chen, H.-H. Revisiting the MMTV Zoonotic Hypothesis to Account for Geographic Variation in Breast Cancer Incidence. Viruses 2022, 14, 559. https://doi.org/10.3390/v14030559

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Stewart AFR, Chen H-H. Revisiting the MMTV Zoonotic Hypothesis to Account for Geographic Variation in Breast Cancer Incidence. Viruses. 2022; 14(3):559. https://doi.org/10.3390/v14030559

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Stewart, Alexandre F. R., and Hsiao-Huei Chen. 2022. "Revisiting the MMTV Zoonotic Hypothesis to Account for Geographic Variation in Breast Cancer Incidence" Viruses 14, no. 3: 559. https://doi.org/10.3390/v14030559

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