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Review

Impact of Host, Lifestyle and Environmental Factors in the Pathogenesis of MPN

by
Gajalakshmi Ramanathan
1,*,
Brianna M Hoover
2 and
Angela G Fleischman
1,2
1
Division of Hematology/Oncology, Department of Medicine, University of California, Irvine, CA 92617, USA
2
Department of Biological Chemistry, University of California, Irvine, CA 92617, USA
*
Author to whom correspondence should be addressed.
Cancers 2020, 12(8), 2038; https://doi.org/10.3390/cancers12082038
Submission received: 30 June 2020 / Revised: 22 July 2020 / Accepted: 23 July 2020 / Published: 24 July 2020
(This article belongs to the Special Issue New Insights into Myeloproliferative Neoplasms)
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Abstract

:
Philadelphia-negative myeloproliferative neoplasms (MPNs) occur when there is over-production of myeloid cells stemming from hematopoietic stem cells with constitutive activation of JAK/STAT signaling, with JAK2V617F being the most commonly occurring somatic driver mutation. Chronic inflammation is a hallmark feature of MPNs and it is now evident that inflammation is not only a symptom of MPN but can also provoke development and precipitate progression of disease. Herein we have considered major MPN driver mutation independent host, lifestyle, and environmental factors in the pathogenesis of MPN based upon epidemiological and experimental data. In addition to the traditional risk factors such as advanced age, there is evidence to indicate that inflammatory stimuli such as smoking can promote and drive MPN clone emergence and expansion. Diet induced inflammation could also play a role in MPN clonal expansion. Recognition of factors associated with MPN development support lifestyle modifications as an emerging therapeutic tool to restrain inflammation and diminish MPN progression.

1. Introduction

Myeloproliferative neoplasms (MPNs) occur as a result of clonal outgrowth of hematopoietic stem cells (HSCs) carrying a somatic mutation, most commonly in JAK2 (JAK2V617F), endowing them with cytokine independent growth and ensuing in the overproduction of mature and differentiated cells of cells of the myeloid lineage [1,2,3,4,5]. MPNs are distinct from myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML) which are characterized by arrested differentiation of progenitor cells leading to bone marrow failure and ineffective hematopoiesis. Myeloproliferative neoplasms (MPNs) are classic examples of chronic inflammation driven cancers where the inflammatory environment impacts disease initiation, symptomatology, and progression.
Although there is a germline predisposition to acquire MPNs with familial clustering [6,7], many MPN cases are sporadic and occur in aging adults. Chronic inflammation is a consequence of both intrinsic and extrinsic factors. Defining how risk factors impact MPN development will enable lifestyle modifications to improve patient outcomes in early stage of disease as well as to prevent MPN initiation in healthy individuals predisposed to developing MPN. In this review we will focus on the host components, lifestyle factors and environmental drivers of inflammation and their associated risk in MPN pathogenesis (Figure 1).

2. Host Factors

2.1. Clonal Hematopoiesis of Indeterminate Potential (CHIP)

Clonal hematopoiesis (CH) is the expansion of peripheral blood cells derived from a single HSC due to the acquisition of a somatic mutation that improves HSC fitness relative to adjacent stem cells and contributes to a selective growth advantage [8]. Clonal hematopoiesis of indeterminate potential (CHIP) is defined as the presence of at a myeloid malignancy associated gene mutation with a variant allele frequency (VAF) of at least 2% [8,9]. This time-dependent acquisition of somatic mutations in HSCs establishes aging as the strongest predictor of CHIP where it is rare under the age of 40 but more prevalent, at a frequency of at least 10%, in individuals over the age of 70 [8,10]. The presence of CHIP significantly increases the risk for developing a hematologic malignancy but this outcome only occurs in a fraction of those with CHIP [8,11].
Somatic mutations in epigenetic regulatory genes such as DNMT3A and TET2 along with JAK2V617F are among the most common CHIP mutations [8]. The presence of CHIP mutations is associated with inflammatory markers such as increased serum IL-6, TNF-α, IL-8 and high-sensitivity C-reactive protein (hsCRP) [12,13,14]. Compared to the incidence of CHIP in the general population from prior studies and published cohorts, the frequency of CHIP was higher in chronic inflammatory conditions such as aplastic anemia [15,16], ulcerative colitis patients [17] and in patients with aortic valve stenosis [18].
However, whether CHIP-associated inflammation drives progression to hematologic malignancy has not been established. Mechanistic studies in TET2 knockout mice indicate that the relationship between CHIP and inflammation is bidirectional. TET2 function is required to restrain inflammatory gene expression of IL-6 and IL-1β in macrophages [19], resolve inflammation and repress IL-6 expression in myeloid cells [20] and regulate the NLRP3 inflammasome-mediated IL-1β secretion [21,22] but TET2 deficient mice also show expansion of hematopoietic stem cells (HSCs) and differentiated myeloid cells in response to inflammatory stress in combination with an enhanced production of pro-inflammatory IL-6 [23]. It can thus be recognized that CHIP mutations by themselves can induce a low-grade inflammatory state but the presence of additional stressors like infection or autoimmune disease may exaggerate CHIP induced inflammation, thus augmenting the selective advantage for the mutant clone.
Blood cells carrying CHIP mutations survive well in a pro-inflammatory environment, further reiterating that an inflammatory milieu strengthens the selection advantage of CHIP clones. JAK2-mutated progenitor cells from MPN patients have increased myeloid colony formation in the presence TNF-α compared to unmutated JAK2 cells from these same patients and normal controls [24]. Similarly, TET2 mutant bone marrow cells from myelodysplastic syndrome (MDS) subjects are resistant to the suppressive effects of TNF-α on colony formation [25]. Thus, the survival and/or proliferation of the JAK2V617F and TET2 mutated clones are driven by inflammation. It is possible that specific types of inflammation drive the selective advantage of specific mutant clones.

2.2. Infections and Auto-Immune Disorders

Chronic immune stimulation through infection or autoimmune disease may act as a trigger for myeloid malignancy development [26]. In a large Swedish population-based study a history of infection as well as autoimmune disease were both associated with an increased risk of Acute Myeloid Leukemia (AML) and MDS [26]. Using the SEER-Medicare database Anderson et al. found that autoimmune conditions were associated with an increased risk of acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS) [27]. Kristinsson et al. found a prior history of any autoimmune disease to be associated with a significantly increased risk of MPN [28]. Several infections, particularly those affecting the respiratory tract, were associated with AML and MDS even when they occur many years before diagnosis [29]. However, MPN was only significantly associated with a history of cellulitis [29]. These studies suggest that different types of infection may create a specific inflammatory milieu selective for specific mutant driver clones.
Autoimmune disease, most notably inflammatory bowel disease, has been associated with an increased risk of clonal hematopoiesis. Analysis of patients with thrombocytosis in an inflammatory bowel clinic revealed that 23% of them harbored JAK2V617F mutations [30], this highlights that some cases of assumed reactive thrombocytosis in a patient with an inflammatory disease may actually be MPN. Also, a cohort of patients with ulcerative colitis was found to have an increased rate of CHIP, in particular with DNMT3A and PPM1D mutations [17]. Moreover, there was a specific association between elevated levels of serum interferon gamma and DNMT3A mutations.

2.3. Aging

The gain-of-function JAK2V617F mutation is the most common acquired somatic mutation in MPN. Age is a well-defined risk factor for JAK2V617F-positive MPN typically presenting at older age [31,32]. The MPN Research Initiative sponsored by 23andMe showed strong age interaction in the epidemiology of MPN with 41.1% of MPN patients being between 61–112 years of age compared to 30.5% of the population controls being over the age of 60 [33]. The JAK2V617F mutation can also be detected in the general population. The Copenhagen General Population Study and 23andMe identified JAK2V617F carriers with a prevalence of 0.17% to 0.20% in the general population [33,34]. The prevalence of JAK2V617F was associated with increasing age and male sex in both studies [33,34]. The Danish General Suburban Population Study screened almost 20,000 citizens for JAK2V617F and CALR mutations using droplet digital polymerase chain reaction and found 3.2% and 0.16% of this population to harbor JAK2V617F and CALR mutant cells, respectively [35]. Increasing age, smoking, and alcohol were risk factors for the mutations in this study.

2.4. Microbiome

The human body contains over 40 trillion microbes with a vast majority residing in the gastrointestinal tract, referred to as gut microbiota, and colonization with a large and diverse commensal microbiota population is beneficial to health. The human intestinal gut microbiome is composed mainly of bacteria and has an important influence in many physiological functions such as metabolism, inflammation, and hematopoiesis. In mice, the gut microbiome directs innate immune cell development by promoting steady-state myeloid cell development in the bone marrow [36]. Germ-free mice also display defects in adaptive immune cell populations indicating the importance of the microbiome in regulating hematopoiesis [37]. Furthermore, antibiotic induced depletion of the intestinal microbiota not only leads to multilineage suppression of bone marrow hematopoiesis under steady-state [38] but also impairs hematopoietic recovery following bone marrow transplant in a lethally irradiated murine model [39].
Defining the microbiome’s role in the pathogenesis of hematologic malignancies could lead to improved diagnostic, treatment, and prevention options. A global reduction in the abundance and diversity of intestinal microbiota is characteristic in Crohn’s disease [40] which in turn is associated with increased risk for MPN [28]. Thus, dysbiosis of the gut microbiome could be a trigger for MPN disease progression. To date, no large exploratory studies have been undertaken to investigate changes in the microbiome composition between MPN and normal subjects. In a pilot study comparing the gut microbiome of MPN versus healthy controls, we found Phascolarctobacterium to be more abundant in healthy over MPN (Fleischman lab, unpublished data). Phascolarctobacterium are underrepresented in inflammatory diseases such as primary sclerosing cholangitis and ulcerative colitis [41] and necrotizing enterocolitis [42] suggesting that Phascoloarctobacterium may be beneficial to reduce inflammation. Further studies with larger cohorts are required to address the causal role of microbiota in driving inflammation in MPN. In this regard, a recent study by Meisel et al demonstrated that microbial signals from the gut are necessary to drive pre-leukemic myeloproliferation in TET2 knockout mice [43]. This study showed that microbial translocation caused by a loss of integrity in the intestinal barrier results in IL-6 induced inflammation and pre-leukemic transformation. Interestingly, this phenomenon was not observed in germ-free mice or mice treated with antibiotics, indicating that the microbiome may play an instructive role in the development of myeloid malignancies [43]. Another study also showed that antibiotic treatment could suppress the development of myeloid malignancy in TET2 knockout mice by modulating the TNF-α signaling pathway [44]. Though steady-state and stress hematopoiesis benefit from a diverse and abundant microbiome, modulation of the intestinal flora could possibly be used to prevent leukemic transformation in the presence of myeloid malignancy related candidate driver genes. Moreover, intestinal microbial communities could also potentially be targeted to manage or prevent chronic inflammatory conditions such as MPN. These approaches include fecal microbial transplantation [45], antibiotics [44] and dietary interventions [46].

3. Lifestyle Factors

3.1. Smoking

Cigarette smoking causes considerable morbidity and mortality by promoting development of chronic conditions such as cardiovascular diseases and cancer. Smoking is known to increase the risk for developing acute myeloid leukemia (AML) in adults [47,48]. Recently, a growing number of reports indicate a predisposition towards increased risk for developing MPN in ever-smokers. A recent report demonstrates that current and heavy smokers in the general population are more likely to carry a JAK2V617F or CALR mutation [35]. Smoking also promotes systemic chronic inflammation via leukocyte activation, endothelial dysfunction, oxidative stress and release of pro-inflammatory cytokines, all characteristic features of MPN [49]. These support the idea that smoking induces mutagenesis in HSCs leading to the creation of a mutant clone and/or produces an environment which allows mutant clones to gain a selective advantage. Coombs et al. observed an increased rate of smoking associated mutational signature in CHIP mutations among smokers with solid tumors [50]. Meanwhile, although ASXL1 mutations were predominantly associated with smoking in the UK Biobank cohort, the rate of C > A mutations, characteristic of the smoking related mutational signature 4, was similar between smokers and non-smokers [51]. In addition, mutational signature 4 was mainly found in tissues directly exposed to tobacco smoke and could not be extracted from malignancies such as acute myeloid leukemia, despite the known risk associated with smoking [52]. Thus, it appears that a smoking induced inflammatory environment allows clonal evolution and MPN disease progression.
The effects of smoking also include changes in peripheral blood cell counts and hematological parameters such as erythrocytosis and leukocytosis [53,54]. Pasqualetti et al., reported a positive association between heavy smokers and hematologic malignancy [55], particularly MDS. The UK Million Women Study found a positive correlation between exposure to tobacco smoke and the incidence of MPN. This large prospective study reported that current smokers had a higher risk for developing MDS and MPN compared to never-smokers [56]. Women smoking <15 cigarettes per day had a relative risk of 1.52, (95% Confidence Interval (CI) 1.27–1.81) and almost double the risk was observed in frequent smokers (>15 cigarettes/day) Relative Risk (RR) = 1.98 (95% CI 1.67–2.35) using never-smokers as a reference group [56]. In the Iowa Women’s Health Study, current smokers presented with an increased risk for all MPNs, RR = 1.72 for current versus never smokers. For the particular subtypes, the association of current smoking was stronger for Polycythemia Vera (PV) incidence than Essential Thrombocythemia (ET) [57].
Using chronic lymphoid leukemia (CLL) patients as controls, Sørensen and Hasselbalch conducted a case-control study to determine the relationship between smoking and MPN. When former and current smokers were compared to never-smokers, there was a significant association between smoking history and the risk of MPN compared to CLL controls (Overall Risk (OR) = 1.73, 95% CI 1.25–2.40) [58]. The association was significant for both ET and PV subtypes. Data from the Danish Health Examination Survey, a general population-based study, was also used to establish whether smokers had an increased risk for MPN compared to non-smokers. The risk for MPN in daily smokers was more than doubled, with a hazard ratio 2.5 (95% CI 1.3–5.0) and 1.9 (95% CI 1.1–3.3) for occasional/ex-smokers. The risk for smoking associated MPN was dose-dependent, an increased amount of daily smoking increased the hazard ratio for any MPN compared to non-smokers [59]. A recent meta-analysis that combined several published studies also reported an increased odds ratio for MPN when comparing smokers with non-smokers [54]. The odds ratio for MPNs were increased when comparing any type of smoking history; current, former, light and heavy smoker with non-smoker. Heavy smokers had double the risk for MPN compared to never-smokers [54].
Two very recent studies also found smoking to be a modifiable risk factor for MPN development. The NIH-AARP Diet and Health Study identified that smoking behavior increased the risk for MPN in women [60]. This study showed that both former and current female smokers had an increased risk for developing MPN compared to never-smokers [60]. The MOSAICC (MyelOproliferative neoplasmS: An In-depth Case-Control) study also confirmed that current smoking status significantly associated with PV (OR = 3.73, 95% CI 1.06–13.15) [61]. Also, heavy smokers described as smoking 20 or more pack years of cigarettes were associated with increased MPN risk in this study [61].
While it is well established that conventional combustible smoking causes significant negative health outcomes, the impact of electronic cigarettes (E-cigs) is unknown. To investigate the impact of E-cigs on normal hematopoiesis, we exposed wild-type mice to two months of E-cig smoke and found significant decreases in the bone marrow populations of myeloid progenitors, specifically the common myeloid progenitors. Furthermore, when E-cig exposure was followed by an acute inflammatory challenge, transplanted HSCs showed inferior engraftment at early time points and delayed monocytosis (Ramanathan et al., submitted). These findings indicate that chronic E-cig use may affect hematopoietic stem and progenitor cells and need to be used with caution.

3.2. Diet

The NIH-AARP Diet and Health Study examined the influence of dietary factors in association with risk for chronic myeloid leukemia (CML) and found that none of the wide range of dietary factors studied were associated with risk for CML [62]. Recently, data from the NIH-AARP study was used to examine lifestyle factors and MPN risk. Coffee consumption was found to be inversely related to MPN risk where compared to low level of caffeine intake, high intake of caffeine was protective against risk for PV development [60].
Inflammation can be modulated through diet, and so dietary intervention may represent a low-risk way to manage inflammation in MPN. A Mediterranean dietary pattern scientifically helps protect against major chronic diseases like obesity, type-2 diabetes, and inflammatory disorders [63]. The PREDIMED (Prevención con Dieta Mediterránea) trial assessed the Mediterranean diet’s anti-inflammatory properties among participants who were at high cardiovascular risk but did not have known cardiovascular disease. They were randomized into two different Mediterranean diet arms (one arm supplemented with extra-virgin olive oil; the other supplemented with mixed nuts) and one control arm. Patients in both Mediterranean diet groups showed a reduced incidence of major cardiovascular events (hazard ratio 0.70 for group assigned to Mediterranean diet with extra-virgin olive oil and 0.72 to the group assigned to Mediterranean diet with nuts) [64]. Participants who were adherent to the Mediterranean diet significantly decreased their levels of CRP, IL-6 and endothelial and monocyte adhesion molecules and chemokines [65].
To determine if MPN patients can adopt a Mediterranean style eating pattern if given dietician counseling and written curriculum we developed a prospective interventional proof-of-concept 15-week study of 28 MPN patients randomized (1:1) at enrollment to either a Mediterranean (MED) diet supplemented with Extra Virgin Olive Oil (EVOO) or the United States Dietary Guidelines for Americans (USDA). Conformity with the Mediterranean dietary pattern was assessed by the 14-item Mediterranean diet adherence score (MEDAS) [66], with a MEDAS score of ≥8 defined as adherence to a Mediterranean diet. Throughout the entire intervention phase at least 75% of patients in the Mediterranean diet arm achieved a MEDAS score of ≥8. In contrast, during the intervention phase 15–46% of the USDA arm achieved a score of ≥8 (unpublished data, Fleischman lab). In this study we also explored the impact of diet on symptom burden. Out of all the participants that scored ≥8 in the MEDAS, 42% had a ≥50% decrease in symptom burden at week 9 (during the dietary intervention) compared to baseline (weeks 1 and 2) regardless of randomization. These observations suggest that a high Mediterranean diet adherence score may correlate with a lower symptom burden.
Specific dietary components may promote healthy hematopoiesis. The amino acids valine and cysteine are essential for the maintenance of hematopoiesis [67]. Hematopoietic stem and progenitor cells showed significant growth and proliferative retardation when cultured in medium lacking cysteine while valine effected stem but not progenitor cells. Similarly, in competitive bone marrow transplants, mice that received HSCs cultured in the absence of valine or cysteine showed no engraftment demonstrating that these amino acids are required for HSC maintenance. Interestingly, the anti-oxidant, N-acetylcysteine (N-AC), rescued HSC growth in cysteine lacking medium [67]. We have also shown that N-AC is particularly useful in mitigating thrombosis in a mouse model of MPN [68] and further investigation of N-AC in promoting stem cell fitness in the setting of MPN is required.
Vitamins A, C and D have been implicated in hematopoiesis [69,70,71]. Vitamin C or ascorbic acid is a co-factor of TET2 enzymatic activity and limits HSC self-renewal and suppresses leukemogenesis [70]. Vitamin C supplementation blocked myeloid disease development in mice and controlled disease progression in AML xenograft models [72]. A clinical trial in elderly AML patients demonstrated that the addition of intravenous vitamin C to decitabine resulted in a higher complete remission (CR) than decitabine alone (79.92% vs. 44.11%; p = 0.004) after one cycle of chemotherapy [73]. A low vitamin D diet was shown to prevent myelofibrosis in a JAK2V617F transgenic mouse model [74] although MPN patients do not show elevated serum vitamin D levels [75]. These reports indicate that it is possible that nutritional status can influence MPN disease development and progression.
Other dietary compounds that have been reported to have effects on hematopoiesis include resveratrol and curcumin. Resveratrol is a naturally occurring plant-derived polyphenol and resveratrol treatment increased bone marrow HSPCs [76] as well as protected HSCs from radiation induced injury [77]. Curcumin treatment in vitro induced apoptosis in leukocytes from JAK2V617F positive MPN patients [78]. These compounds are known for their anti-inflammatory properties and could have potentially beneficial effects in lowering the risk for MPN. More research on the metabolic requirements and vulnerabilities of normal and JAK2V617F mutated HSCs will provide new avenues of modulating MPN disease development.

3.3. Obesity and Physical Activity

The UK Million Women Study was a prospective study with a 10-year follow-up period. This study showed an increased relative risk (RR) of MPN or MDS (RR 1.32, 95% CI 1.15–1.52) for an increase in 10 kg/m2 body-mass index (BMI) [79]. Similarly, the Iowa Women’s Health Study, also a prospective study cohort with follow up period of 11 years, found that the relative risk for ET was positively associated with baseline BMI, increasing risk for ET with increasing BMI [57]. Interestingly, neither BMI nor body weight at study baseline were associated with risk for PV development [57]. More recently, the MOSAICC case-control study also reported that obesity appeared to elevate overall risk for MPN, and among the sub-types obesity was significantly associated with ET alone (OR 2.59, 95% CI 1.02–6.58) [61]. High intensity physical activity was in turn inversely correlated with ET development (RR 0.66, 95% CI 0.44–0.98) but not PV in the Iowa Women’s Health Study [57]. The disparity between the risk for ET versus PV due to obesity is interesting. One possible mechanism could be due to the influence of increased adiposity in the bone marrow which leads to enhanced megakaryocyte maturation and accelerated proplatelet formation in mice [80]. Interventions using yoga in MPN have been performed [81,82], however no interventional studies using more rigorous physical activity with the intent of weight reduction in MPN have been performed.
Recent animal studies have shown that diet-induced obesity negatively affects HSC activity. For instance, a diet high in animal fat (i.e., lard) promoted expansion of pro-inflammatory myeloid cell production from the bone marrow [83]. Spred1 (Sprouty-related, EVH1 domain-containing 1) regulates RAS-MAPK signaling and under steady-state negatively influences HSC self-renewal. A lard based high fat diet induces systemic stress in Spred1 deficient mice leading to increased leukocytes and thrombocythemia in peripheral blood along with marked splenomegaly. Specifically, a fraction of Spred1 deficient mice fed an animal fat diet develop an ET-like phenotype without myeloid cell abnormalities [84]. This study also demonstrated that depletion of microbiota in Spred1 deficient mice fed a lard fat-based diet rescued the MPN-like disease phenotype implicating gut microbiota dysbiosis in triggering MPN-like disease [84].
Mice fed an inflammatory high fat diet also displayed poor hematopoietic recovery following a hematologic stress challenge [85]. Obesity related alterations in the gut microbiome have been attributed to poor HSC function by increasing BM-adipocyte differentiation [85]. Thus, changes in the bone marrow microenvironment caused by an inflammatory diet affect HSC self-renewal and an anti-inflammatory or low inflammatory index diet such as the Mediterranean diet could be a possible strategy to prevent HSC anomalies.

4. Environmental Factors

4.1. Ionizing Radiation

Acute exposure to high doses of atomic bomb radiation among Japanese residents is associated with AML and CML [86] while protracted low-dose radiation exposure also increases the risk for CML [87]. Although the incidence of MPN following low-dose radiation is not reported, the genomic characteristics of MPN patients with and without exposure to radiation from the Chernobyl nuclear accident have been evaluated. The study found that ionizing radiation exposed MPN patients display a different genetic profile compared to unexposed patients where the incidence of JAK2V617F mutation was significantly less in the radiation exposed patients. Other findings included a higher rate of type-1 like CALR mutations and triple negative MPN in the ionizing radiation exposed group versus unexposed patients [88]. A study by Mele et al., reported that living in tuff houses, a building material containing gamma-emitting radionuclides, increases the risk for ET [89]. Meanwhile, Najean et al., reported no association between radiation exposure and PV [90]. The MOSAICC study also reported that MPN patients were likely to have had three or more CT scans compared to controls with odds ratio of 5.38 (95% CI 1.67–17.3) [61]. Further in-depth evaluation of low-dose radiation exposure on MPN development is required to determine the true existence of an increased risk and causal relationship.

4.2. Occupational and Chemical Exposure

The effect of benzene exposure on developing MPNs has been investigated in terms of occupational exposures. Benzene is an aromatic hydrocarbon found in crude oil, cigarette smoke and is also used as a solvent in manufacturing industries. Early work by Mele et al., showed association between shoemakers and ET risk, mist likely due to exposure to benzene found in glues used in this profession [89]. Excessive risk for myelofibrosis due to benzene has been suggested in workers in the transport industry [91] with the main source of benzene being petrochemicals. Another study that analyzed several different industries and occupations as a potential source of risk for having an MPN revealed no associations between occupational PAH exposures and risk of MPN [92]. However, this study did find an increased association with extended employment in transportation, communications and public utilities [92].
In addition to benzene, polycyclic aromatic hydrocarbons (PAHs) and particulate matter are contained in emissions produced from the combustion of automobile fuels. Additional studies investigating the association of motor vehicle exhaust with MPN risk would be useful. One of the common sources of benzene, PAHs and particulate matter is cigarette smoke and as described above, smoking has been consistently associated with MPN risk. Future studies in animal models will provide mechanistic insights on the role of cigarette smoke and air pollutants in clonal selection and evolution in MPN disease development. However, indoor sources of chemical exposures including home solvents, paints, bleach, oven cleaner, garden herbicides or pesticides, frequency of boiler maintenance or home car mechanical work were not associated with MPN risk [60]. These differences in findings between occupational and recreational exposures can be attributed to levels and duration of exposures.
A cluster of 33 PV cases in the Tri-County area of Eastern Pennsylvania caused speculation on possible environmental etiology of MPNs since several hazardous waste exposure sites were identified in this region [93,94]. The incidence of PV in this cluster was four times greater than the rest of Tri-county area [94]. However, an updated and expanded study of PV and other MPNs in the Tri-County area did not identify any PV cancer clusters but an ET cluster of 9 patients was identified [95]. Low case participation affected the study’s strength to find significant disease clustering.

4.3. Socioeconomic Factors

The exploratory MOSAICC case-control study was recently used to identify novel factors associated with risk for MPN. MPN patients were found to be more likely to have been raised in an environment where the main household occupation belonged to a lower social class [61]. This is described as childhood socio-economic position (SEP) and lifetime exposures to poor socio-economic conditions can influence adult health outcomes with increased likelihood of chronic conditions such as heart disease [96]. Increased childhood household density was also observed in MPN patients compared to controls [61]. The life course of accumulation of exposure risks attributed to experiencing low socioeconomic conditions such as poor nutrition, infections and exposure to passive smoke can thus predispose to chronic health conditions such as MPN in later life. Lack of educational opportunities owing to socioeconomic status can also influence lifestyle choices, risk behaviors and occupational exposures, further increasing the risk for adverse health outcomes. In fact, the MOSAICC study observed a borderline association between higher education completion and reduced risk for MPN [61].

5. Lifestyle Modifications as Prevention/Therapy

There is some evidence for risk factors associated with the etiology of MPNs based on retrospective studies. These data suggest that lifestyle modifications to reduce inflammation and/or protect hematopoietic stem cells from stressors may be a useful strategy to prevent progression or development of hematologic malignancies (Figure 2). However, the retrospective studies are far from definitive and large prospective studies are required to establish how specific lifestyle choices impact the development and disease progression of MPN.
People with early stage MPN may be an ideal target for lifestyle modifications to reduce inflammation. Initial studies should be focused on the primary outcome of symptom reduction to demonstrate the immediate benefits of lifestyle modification for MPN patients. Then, longer large-scale studies could be performed to address how lifestyle modifications shown to be beneficial for symptom reduction impact disease progression and clonal evolution in MPN.
Manipulation of the environment could steer evolution of hematopoiesis toward a benign outcome. In this regard, the goal is not to necessarily “target” the mutant clone, but to lead hematopoiesis back to polyclonality. This approach may be particularly useful in diseases where directly targeting the mutant clone has not been successful, for example in MPN where JAK inhibitors do not reduce the JAK2 mutant allele burden. Since the JAK2V617F mutant is prevalent in the general population and is accompanied by higher blood cell counts than mutant negative subjects [35], lifestyle changes such as smoking cessation and high fiber anti-inflammatory diet, will be of considerable importance in this target at risk population.

6. Conclusions

Recent findings suggest some role for environmental inflammatory stimuli in the pathogenesis of MPN. Chronic systemic inflammation and oxidative stress induced by these external components may influence disease initiation and clonal expansion or evolution resulting in MPN phenotype. Since an inflammatory environment promotes the selection and expansion of the neoplastic clone, lifestyle modifications in high risk target populations can be recommended as a strategy to halt disease progression or prevent disease development. This is of particular importance in the context of smoking behavior which is positively associated with risk for developing MPN.

Funding

This work was supported by funds from the Tobacco-Related Disease Research Program of the University of California, Grant Numbers T29FT0267 (G.R) and T29IP0414 (A.G.F) and by the NCI T32 training grant NCI T32CA009054 (G.R and B.H).

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. Research reported in this publication was supported by the National Cancer Institute of the National Institutes of Health under Award Number T32CA009054. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

References

  1. James, C.; Ugo, V.; Le Couedic, J.P.; Staerk, J.; Delhommeau, F.; Lacout, C.; Garcon, L.; Raslova, H.; Berger, R.; Bennaceur-Griscelli, A.; et al. A unique clonal JAK2 mutation leading to constitutive signalling causes polycythaemia vera. Nature 2005, 434, 1144–1148. [Google Scholar] [CrossRef] [PubMed]
  2. Kralovics, R.; Passamonti, F.; Buser, A.S.; Teo, S.S.; Tiedt, R.; Passweg, J.R.; Tichelli, A.; Cazzola, M.; Skoda, R.C. A gain-of-function mutation of JAK2 in myeloproliferative disorders. N. Engl. J. Med. 2005, 352, 1779–1790. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Levine, R.L.; Wadleigh, M.; Cools, J.; Ebert, B.L.; Wernig, G.; Huntly, B.J.; Boggon, T.J.; Wlodarska, I.; Clark, J.J.; Moore, S.; et al. Activating mutation in the tyrosine kinase JAK2 in polycythemia vera, essential thrombocythemia, and myeloid metaplasia with myelofibrosis. Cancer Cell 2005, 7, 387–397. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Baxter, E.J.; Scott, L.M.; Campbell, P.J.; East, C.; Fourouclas, N.; Swanton, S.; Vassiliou, G.S.; Bench, A.J.; Boyd, E.M.; Curtin, N.; et al. Acquired mutation of the tyrosine kinase JAK2 in human myeloproliferative disorders. Lancet (Lond. Engl.) 2005, 365, 1054–1061. [Google Scholar] [CrossRef]
  5. Zhao, R.; Xing, S.; Li, Z.; Fu, X.; Li, Q.; Krantz, S.B.; Zhao, Z.J. Identification of an acquired JAK2 mutation in polycythemia vera. J. Biol. Chem. 2005, 280, 22788–22792. [Google Scholar] [CrossRef] [Green Version]
  6. Landgren, O.; Goldin, L.R.; Kristinsson, S.Y.; Helgadottir, E.A.; Samuelsson, J.; Bjorkholm, M. Increased risks of polycythemia vera, essential thrombocythemia, and myelofibrosis among 24,577 first-degree relatives of 11,039 patients with myeloproliferative neoplasms in Sweden. Blood 2008, 112, 2199–2204. [Google Scholar] [CrossRef]
  7. Sud, A.; Chattopadhyay, S.; Thomsen, H.; Sundquist, K.; Sundquist, J.; Houlston, R.S.; Hemminki, K. Familial risks of acute myeloid leukemia, myelodysplastic syndromes, and myeloproliferative neoplasms. Blood 2018, 132, 973–976. [Google Scholar] [CrossRef]
  8. Jaiswal, S.; Fontanillas, P.; Flannick, J.; Manning, A.; Grauman, P.V.; Mar, B.G.; Lindsley, R.C.; Mermel, C.H.; Burtt, N.; Chavez, A.; et al. Age-related clonal hematopoiesis associated with adverse outcomes. N. Engl. J. Med. 2014, 371, 2488–2498. [Google Scholar] [CrossRef] [Green Version]
  9. Abelson, S.; Collord, G.; Ng, S.W.K.; Weissbrod, O.; Mendelson Cohen, N.; Niemeyer, E.; Barda, N.; Zuzarte, P.C.; Heisler, L.; Sundaravadanam, Y.; et al. Prediction of acute myeloid leukaemia risk in healthy individuals. Nature 2018, 559, 400–404. [Google Scholar] [CrossRef]
  10. Xie, M.; Lu, C.; Wang, J.; McLellan, M.D. Age-related mutations associated with clonal hematopoietic expansion and malignancies. Nat. Med. 2014, 20, 1472–1478. [Google Scholar] [CrossRef]
  11. Genovese, G.; Kahler, A.K.; Handsaker, R.E.; Lindberg, J.; Rose, S.A.; Bakhoum, S.F.; Chambert, K.; Mick, E.; Neale, B.M.; Fromer, M.; et al. Clonal hematopoiesis and blood-cancer risk inferred from blood DNA sequence. N. Engl. J. Med. 2014, 371, 2477–2487. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Cook, E.K.; Izukawa, T.; Young, S.; Rosen, G.; Jamali, M.; Zhang, L.; Johnson, D.; Bain, E.; Hilland, J.; Ferrone, C.K.; et al. Comorbid and inflammatory characteristics of genetic subtypes of clonal hematopoiesis. Blood Adv. 2019, 3, 2482–2486. [Google Scholar] [CrossRef] [Green Version]
  13. Jaiswal, S.; Natarajan, P.; Silver, A.J.; Gibson, C.J.; Bick, A.G.; Shvartz, E.; McConkey, M.; Gupta, N.; Gabriel, S.; Ardissino, D.; et al. Clonal Hematopoiesis and Risk of Atherosclerotic Cardiovascular Disease. N. Engl. J. Med. 2017. [Google Scholar] [CrossRef] [PubMed]
  14. Busque, L.; Sun, M.; Buscarlet, M.; Ayachi, S.; Feroz Zada, Y.; Provost, S.; Bourgoin, V.; Mollica, L.; Meisel, M.; Hinterleitner, R.; et al. High-sensitivity C-reactive protein is associated with clonal hematopoiesis of indeterminate potential. Blood Adv. 2020, 4, 2430–2438. [Google Scholar] [CrossRef] [PubMed]
  15. Yoshizato, T.; Dumitriu, B.; Hosokawa, K.; Makishima, H.; Yoshida, K.; Townsley, D.; Sato-Otsubo, A.; Sato, Y.; Liu, D.; Suzuki, H.; et al. Somatic Mutations and Clonal Hematopoiesis in Aplastic Anemia. N. Engl. J. Med. 2015, 373, 35–47. [Google Scholar] [CrossRef] [Green Version]
  16. Babushok, D.V.; Perdigones, N.; Perin, J.C.; Olson, T.S.; Ye, W.; Roth, J.J.; Lind, C.; Cattier, C.; Li, Y.; Hartung, H.; et al. Emergence of clonal hematopoiesis in the majority of patients with acquired aplastic anemia. Cancer Genet. 2015, 208, 115–128. [Google Scholar] [CrossRef] [Green Version]
  17. Zhang, C.R.C.; Nix, D.; Gregory, M.; Ciorba, M.A.; Ostrander, E.L.; Newberry, R.D.; Spencer, D.H.; Challen, G.A. Inflammatory cytokines promote clonal hematopoiesis with specific mutations in ulcerative colitis patients. Exp. Hematol. 2019, 80, 36–41.e3. [Google Scholar] [CrossRef]
  18. Mas-Peiro, S.; Hoffmann, J.; Fichtlscherer, S.; Dorsheimer, L.; Rieger, M.A.; Dimmeler, S.; Vasa-Nicotera, M.; Zeiher, A.M. Clonal haematopoiesis in patients with degenerative aortic valve stenosis undergoing transcatheter aortic valve implantation. Eur. Heart J. 2020, 41, 933–939. [Google Scholar] [CrossRef] [Green Version]
  19. Cull, A.H.; Snetsinger, B.; Buckstein, R.; Wells, R.A.; Rauh, M.J. Tet2 restrains inflammatory gene expression in macrophages. Exp. Hematol. 2017, 55, 56–70.e13. [Google Scholar] [CrossRef] [Green Version]
  20. Zhang, Q.; Zhao, K.; Shen, Q.; Han, Y.; Gu, Y.; Li, X.; Zhao, D.; Liu, Y.; Wang, C.; Zhang, X.; et al. Tet2 is required to resolve inflammation by recruiting Hdac2 to specifically repress IL-6. Nature 2015, 525, 389–393. [Google Scholar] [CrossRef] [Green Version]
  21. Fuster, J.J.; MacLauchlan, S.; Zuriaga, M.A.; Polackal, M.N.; Ostriker, A.C.; Chakraborty, R.; Wu, C.L.; Sano, S.; Muralidharan, S.; Rius, C.; et al. Clonal hematopoiesis associated with TET2 deficiency accelerates atherosclerosis development in mice. Science 2017, 355, 842–847. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Sano, S.; Oshima, K.; Wang, Y.; MacLauchlan, S.; Katanasaka, Y.; Sano, M.; Zuriaga, M.A.; Yoshiyama, M.; Goukassian, D.; Cooper, M.A.; et al. Tet2-Mediated Clonal Hematopoiesis Accelerates Heart Failure Through a Mechanism Involving the IL-1β/NLRP3 Inflammasome. J. Am. Coll. Cardiol. 2018, 71, 875–886. [Google Scholar] [CrossRef] [PubMed]
  23. Cai, Z.; Kotzin, J.J.; Ramdas, B.; Chen, S.; Nelanuthala, S.; Palam, L.R.; Pandey, R.; Mali, R.S.; Liu, Y.; Kelley, M.R.; et al. Inhibition of Inflammatory Signaling in Tet2 Mutant Preleukemic Cells Mitigates Stress-Induced Abnormalities and Clonal Hematopoiesis. Cell Stem Cell 2018, 23, 833–849.e5. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Fleischman, A.G.; Aichberger, K.J.; Luty, S.B.; Bumm, T.G.; Petersen, C.L.; Doratotaj, S.; Vasudevan, K.B.; LaTocha, D.H.; Yang, F.; Press, R.D.; et al. TNFalpha facilitates clonal expansion of JAK2V617F positive cells in myeloproliferative neoplasms. Blood 2011, 118, 6392–6398. [Google Scholar] [CrossRef] [PubMed]
  25. Abegunde, S.O.; Buckstein, R.; Wells, R.A.; Rauh, M.J. An inflammatory environment containing TNFα favors Tet2-mutant clonal hematopoiesis. Exp. Hematol. 2018, 59, 60–65. [Google Scholar] [CrossRef]
  26. Kristinsson, S.Y.; Bjorkholm, M.; Hultcrantz, M.; Derolf, A.R.; Landgren, O.; Goldin, L.R. Chronic immune stimulation might act as a trigger for the development of acute myeloid leukemia or myelodysplastic syndromes. J. Clin. Oncol. 2011, 29, 2897–2903. [Google Scholar] [CrossRef] [Green Version]
  27. Anderson, L.A.; Pfeiffer, R.M.; Landgren, O.; Gadalla, S.; Berndt, S.I.; Engels, E.A. Risks of myeloid malignancies in patients with autoimmune conditions. Br. J. Cancer 2009, 100, 822–828. [Google Scholar] [CrossRef] [Green Version]
  28. Kristinsson, S.Y.; Landgren, O.; Samuelsson, J.; Bjorkholm, M.; Goldin, L.R. Autoimmunity and the risk of myeloproliferative neoplasms. Haematologica 2010, 95, 1216–1220. [Google Scholar] [CrossRef] [Green Version]
  29. Titmarsh, G.J.; McMullin, M.F.; McShane, C.M.; Clarke, M.; Engels, E.A.; Anderson, L.A. Community-acquired infections and their association with myeloid malignancies. Cancer Epidemiol. 2014, 38, 56–61. [Google Scholar] [CrossRef] [Green Version]
  30. Kuriakose, E.; Lascu, E.; Wang, Y.L.; Gjoni, S.; Cross, N.C.; Baumann, R.; Tam, K.; Scherl, E.; Longman, R.S.; Silver, R.T. The JAK2V617F Mutation Seen in Myeloproliferative Neoplasms (MPNs) Occurs in Patients with Inflammatory Bowel Disease: Implications of a Pilot Study. Int. J. Clin. Med. 2013, 4, 10–15. [Google Scholar] [CrossRef] [Green Version]
  31. Moulard, O.; Mehta, J.; Fryzek, J.; Olivares, R.; Iqbal, U.; Mesa, R.A. Epidemiology of myelofibrosis, essential thrombocythemia, and polycythemia vera in the European Union. Eur. J. Haematol. 2014, 92, 289–297. [Google Scholar] [CrossRef] [PubMed]
  32. Mehta, J.; Wang, H.; Iqbal, S.U.; Mesa, R. Epidemiology of myeloproliferative neoplasms in the United States. Leuk. Lymphoma 2014, 55, 595–600. [Google Scholar] [CrossRef] [PubMed]
  33. Hinds, D.A.; Barnholt, K.E.; Mesa, R.A.; Kiefer, A.K.; Do, C.B.; Eriksson, N.; Mountain, J.L.; Francke, U.; Tung, J.Y.; Nguyen, H.M.; et al. Germ line variants predispose to both JAK2 V617F clonal hematopoiesis and myeloproliferative neoplasms. Blood 2016, 128, 1121–1128. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Nielsen, C.; Birgens, H.S.; Nordestgaard, B.G.; Bojesen, S.E. Diagnostic value of JAK2 V617F somatic mutation for myeloproliferative cancer in 49 488 individuals from the general population. Br. J. Haematol. 2013, 160, 70–79. [Google Scholar] [CrossRef]
  35. Cordua, S.; Kjaer, L.; Skov, V.; Pallisgaard, N.; Hasselbalch, H.C.; Ellervik, C. Prevalence and phenotypes of JAK2 V617F and calreticulin mutations in a Danish general population. Blood 2019, 134, 469–479. [Google Scholar] [CrossRef]
  36. Khosravi, A.; Yáñez, A.; Price, J.G.; Chow, A.; Merad, M.; Goodridge, H.S.; Mazmanian, S.K. Gut microbiota promote hematopoiesis to control bacterial infection. Cell Host Microbe 2014, 15, 374–381. [Google Scholar] [CrossRef] [Green Version]
  37. Mazmanian, S.K.; Liu, C.H.; Tzianabos, A.O.; Kasper, D.L. An immunomodulatory molecule of symbiotic bacteria directs maturation of the host immune system. Cell 2005, 122, 107–118. [Google Scholar] [CrossRef] [Green Version]
  38. Josefsdottir, K.S.; Baldridge, M.T.; Kadmon, C.S.; King, K.Y. Antibiotics impair murine hematopoiesis by depleting the intestinal microbiota. Blood 2017, 129, 729–739. [Google Scholar] [CrossRef] [Green Version]
  39. Staffas, A.; Burgos da Silva, M.; van den Brink, M.R. The intestinal microbiota in allogeneic hematopoietic cell transplant and graft-versus-host disease. Blood 2017, 129, 927–933. [Google Scholar] [CrossRef]
  40. Manichanh, C.; Rigottier-Gois, L.; Bonnaud, E.; Gloux, K.; Pelletier, E.; Frangeul, L.; Nalin, R.; Jarrin, C.; Chardon, P.; Marteau, P.; et al. Reduced diversity of faecal microbiota in Crohn’s disease revealed by a metagenomic approach. Gut 2006, 55, 205–211. [Google Scholar] [CrossRef] [Green Version]
  41. Bajer, L.; Kverka, M.; Kostovcik, M.; Macinga, P.; Dvorak, J.; Stehlikova, Z.; Brezina, J.; Wohl, P.; Spicak, J.; Drastich, P. Distinct gut microbiota profiles in patients with primary sclerosing cholangitis and ulcerative colitis. World J. Gastroenterol. 2017, 23, 4548–4558. [Google Scholar] [CrossRef] [PubMed]
  42. Feng, J.; He, Y.; Liu, D.; Li, L.; Chen, J.; Yu, J. The constitution and functional prediction of the microbiota in necrotizing enterocolitis with a gestational age of over 28 weeks. Medicine 2019, 98, e17206. [Google Scholar] [CrossRef] [PubMed]
  43. Meisel, M.; Hinterleitner, R.; Pacis, A.; Chen, L.; Earley, Z.M.; Mayassi, T.; Pierre, J.F.; Ernest, J.D.; Galipeau, H.J.; Thuille, N.; et al. Microbial signals drive pre-leukaemic myeloproliferation in a Tet2-deficient host. Nature 2018, 557, 580–584. [Google Scholar] [CrossRef] [PubMed]
  44. Zeng, H.; He, H.; Guo, L.; Li, J.; Lee, M.; Han, W.; Guzman, A.G.; Zang, S.; Zhou, Y.; Zhang, X.; et al. Antibiotic treatment ameliorates Ten-eleven translocation 2 (TET2) loss-of-function associated hematological malignancies. Cancer Lett. 2019, 467, 1–8. [Google Scholar] [CrossRef] [PubMed]
  45. Millan, N.M.; Lau, P.; Hann, M.; Ioannou, D.; Hoffman, D.; Barrionuevo, M.; Maxson, W.; Ory, S.; Tempest, H.G. Hierarchical radial and polar organisation of chromosomes in human sperm. Chromosome Res. 2012, 20, 875–887. [Google Scholar] [CrossRef]
  46. Cotillard, A.; Kennedy, S.P.; Kong, L.C.; Prifti, E.; Pons, N.; Le Chatelier, E.; Almeida, M.; Quinquis, B.; Levenez, F.; Galleron, N.; et al. Dietary intervention impact on gut microbial gene richness. Nature 2013, 500, 585–588. [Google Scholar] [CrossRef]
  47. Boyle, P. Cancer, cigarette smoking and premature death in Europe: A review including the Recommendations of European Cancer Experts Consensus Meeting, Helsinki, October 1996. Lung Cancer 1997, 17, 1–60. [Google Scholar] [CrossRef]
  48. Fircanis, S.; Merriam, P.; Khan, N.; Castillo, J.J. The relation between cigarette smoking and risk of acute myeloid leukemia: An updated meta-analysis of epidemiological studies. Am. J. Hematol. 2014, 89, E125–E132. [Google Scholar] [CrossRef]
  49. Hasselbalch, H.C. Smoking as a contributing factor for development of polycythemia vera and related neoplasms. Leuk. Res. 2015. [Google Scholar] [CrossRef]
  50. Coombs, C.C.; Zehir, A.; Devlin, S.M.; Kishtagari, A.; Syed, A.; Jonsson, P.; Hyman, D.M.; Solit, D.B.; Robson, M.E.; Baselga, J.; et al. Therapy-Related Clonal Hematopoiesis in Patients with Non-hematologic Cancers Is Common and Associated with Adverse Clinical Outcomes. Cell Stem Cell 2017, 21, 374–382.e4. [Google Scholar] [CrossRef] [Green Version]
  51. Dawoud, A.A.Z.; Tapper, W.J.; Cross, N.C.P. Clonal myelopoiesis in the UK Biobank cohort: ASXL1 mutations are strongly associated with smoking. Leukemia 2020. [Google Scholar] [CrossRef] [PubMed]
  52. Alexandrov, L.B.; Ju, Y.S.; Haase, K.; Van Loo, P.; Martincorena, I.; Nik-Zainal, S.; Totoki, Y.; Fujimoto, A.; Nakagawa, H.; Shibata, T.; et al. Mutational signatures associated with tobacco smoking in human cancer. Science 2016, 354, 618–622. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Pedersen, K.M.; Çolak, Y.; Ellervik, C.; Hasselbalch, H.C.; Bojesen, S.E.; Nordestgaard, B.G. Smoking and Increased White and Red Blood Cells. Arterioscler. Thromb. Vasc. Biol. 2019, 39, 965–977. [Google Scholar] [CrossRef] [PubMed]
  54. Jayasuriya, N.A.; Kjaergaard, A.D.; Pedersen, K.M.; Sørensen, A.L.; Bak, M.; Larsen, M.K.; Nordestgaard, B.G.; Bojesen, S.E.; Çolak, Y.; Skov, V.; et al. Smoking, blood cells and myeloproliferative neoplasms: Meta-analysis and Mendelian randomization of 2·3 million people. Br. J. Haematol. 2020, 189, 323–334. [Google Scholar] [CrossRef] [PubMed]
  55. Pasqualetti, P.; Festuccia, V.; Acitelli, P.; Collacciani, A.; Giusti, A.; Casale, R. Tobacco smoking and risk of haematological malignancies in adults: A case-control study. Br. J. Haematol. 1997, 97, 659–662. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Kroll, M.E.; Murphy, F.; Pirie, K.; Reeves, G.K.; Green, J.; Beral, V. Alcohol drinking, tobacco smoking and subtypes of haematological malignancy in the UK Million Women Study. Br. J. Cancer 2012, 107, 879–887. [Google Scholar] [CrossRef] [Green Version]
  57. Leal, A.D.; Thompson, C.A.; Wang, A.H.; Vierkant, R.A.; Habermann, T.M.; Ross, J.A.; Mesa, R.A.; Virnig, B.A.; Cerhan, J.R. Anthropometric, medical history and lifestyle risk factors for myeloproliferative neoplasms in the Iowa Women’s Health Study cohort. Int. J. Cancer 2014, 134, 1741–1750. [Google Scholar] [CrossRef] [Green Version]
  58. Lindholm Sørensen, A.; Hasselbalch, H.C. Smoking and philadelphia-negative chronic myeloproliferative neoplasms. Eur. J. Haematol. 2016, 97, 63–69. [Google Scholar] [CrossRef]
  59. Pedersen, K.M.; Bak, M.; Sørensen, A.L.; Zwisler, A.D.; Ellervik, C.; Larsen, M.K.; Hasselbalch, H.C.; Tolstrup, J.S. Smoking is associated with increased risk of myeloproliferative neoplasms: A general population-based cohort study. Cancer Med. 2018, 7, 5796–5802. [Google Scholar] [CrossRef] [Green Version]
  60. Podoltsev, N.A.; Wang, X.; Wang, R.; Hofmann, J.N.; Liao, L.M.; Zeidan, A.M.; Mesa, R.; Ma, X. Lifestyle factors and risk of myeloproliferative neoplasms in the NIH-AARP diet and health study. Int. J. Cancer 2020. [Google Scholar] [CrossRef]
  61. Duncombe, A.S.; Anderson, L.A.; James, G.; de Vocht, F.; Fritschi, L.; Mesa, R.; Clarke, M.; McMullin, M.F. Modifiable Lifestyle and Medical Risk Factors Associated with Myeloproliferative Neoplasms. HemaSphere 2020, 4, e327. [Google Scholar] [CrossRef] [PubMed]
  62. Kabat, G.C.; Wu, J.W.; Moore, S.C.; Morton, L.M.; Park, Y.; Hollenbeck, A.R.; Rohan, T.E. Lifestyle and dietary factors in relation to risk of chronic myeloid leukemia in the NIH-AARP Diet and Health Study. Cancer Epidemiol. Biomark. Prev. 2013, 22, 848–854. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Gotsis, E.; Anagnostis, P.; Mariolis, A.; Vlachou, A.; Katsiki, N.; Karagiannis, A. Health benefits of the Mediterranean Diet: An update of research over the last 5 years. Angiology 2015, 66, 304–318. [Google Scholar] [CrossRef] [PubMed]
  64. Estruch, R.; Ros, E.; Salas-Salvado, J.; Covas, M.I.; Corella, D.; Aros, F.; Gomez-Gracia, E.; Ruiz-Gutierrez, V.; Fiol, M.; Lapetra, J.; et al. Primary prevention of cardiovascular disease with a Mediterranean diet. N. Engl. J. Med. 2013, 368, 1279–1290. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Estruch, R. Anti-inflammatory effects of the Mediterranean diet: The experience of the PREDIMED study. Proc. Nutr. Soc. 2010, 69, 333–340. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  66. Martinez-Gonzalez, M.A.; Garcia-Arellano, A.; Toledo, E.; Salas-Salvado, J.; Buil-Cosiales, P.; Corella, D.; Covas, M.I.; Schroder, H.; Aros, F.; Gomez-Gracia, E.; et al. A 14-item Mediterranean diet assessment tool and obesity indexes among high-risk subjects: The PREDIMED trial. PLoS ONE 2012, 7, e43134. [Google Scholar] [CrossRef] [Green Version]
  67. Taya, Y.; Ota, Y.; Wilkinson, A.C.; Kanazawa, A.; Watarai, H.; Kasai, M.; Nakauchi, H.; Yamazaki, S. Depleting dietary valine permits nonmyeloablative mouse hematopoietic stem cell transplantation. Science 2016, 354, 1152–1155. [Google Scholar] [CrossRef]
  68. Craver, B.M.; Ramanathan, G.; Hoang, S.; Chang, X.; Mendez Luque, L.F.; Brooks, S.; Lai, H.Y.; Fleischman, A.G. N-acetylcysteine inhibits thrombosis in a murine model of myeloproliferative neoplasm. Blood Adv. 2020, 4, 312–321. [Google Scholar] [CrossRef]
  69. Cabezas-Wallscheid, N.; Buettner, F.; Sommerkamp, P.; Klimmeck, D.; Ladel, L.; Thalheimer, F.B.; Pastor-Flores, D.; Roma, L.P.; Renders, S.; Zeisberger, P.; et al. Vitamin A-Retinoic Acid Signaling Regulates Hematopoietic Stem Cell Dormancy. Cell 2017, 169, 807–823.e19. [Google Scholar] [CrossRef] [Green Version]
  70. Agathocleous, M.; Meacham, C.E.; Burgess, R.J.; Piskounova, E.; Zhao, Z.; Crane, G.M.; Cowin, B.L.; Bruner, E.; Murphy, M.M.; Chen, W.; et al. Ascorbate regulates haematopoietic stem cell function and leukaemogenesis. Nature 2017, 549, 476–481. [Google Scholar] [CrossRef]
  71. Cortes, M.; Chen, M.J.; Stachura, D.L.; Liu, S.Y.; Kwan, W.; Wright, F.; Vo, L.T.; Theodore, L.N.; Esain, V.; Frost, I.M.; et al. Developmental Vitamin D Availability Impacts Hematopoietic Stem Cell Production. Cell Rep. 2016, 17, 458–468. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  72. Cimmino, L.; Dolgalev, I.; Wang, Y.; Yoshimi, A.; Martin, G.H.; Wang, J.; Ng, V.; Xia, B.; Witkowski, M.T.; Mitchell-Flack, M.; et al. Restoration of TET2 Function Blocks Aberrant Self-Renewal and Leukemia Progression. Cell 2017, 170, 1079–1095.e20. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. Zhao, H.; Zhu, H.; Huang, J.; Zhu, Y.; Hong, M.; Zhu, H.; Zhang, J.; Li, S.; Yang, L.; Lian, Y.; et al. The synergy of Vitamin C with decitabine activates TET2 in leukemic cells and significantly improves overall survival in elderly patients with acute myeloid leukemia. Leuk. Res. 2018, 66, 1–7. [Google Scholar] [CrossRef]
  74. Wakahashi, K.; Minagawa, K.; Kawano, Y.; Kawano, H.; Suzuki, T.; Ishii, S.; Sada, A.; Asada, N.; Sato, M.; Kato, S.; et al. Vitamin D receptor-mediated skewed differentiation of macrophages initiates myelofibrosis and subsequent osteosclerosis. Blood 2019, 133, 1619–1629. [Google Scholar] [CrossRef] [PubMed]
  75. Pardanani, A.; Drake, M.T.; Finke, C.; Lasho, T.L.; Rozell, S.A.; Jimma, T.; Tefferi, A. Vitamin D insufficiency in myeloproliferative neoplasms and myelodysplastic syndromes: Clinical correlates and prognostic studies. Am. J. Hematol. 2011, 86, 1013–1016. [Google Scholar] [CrossRef] [PubMed]
  76. Rimmelé, P.; Lofek-Czubek, S.; Ghaffari, S. Resveratrol increases the bone marrow hematopoietic stem and progenitor cell capacity. Am. J. Hematol. 2014, 89, E235–E238. [Google Scholar] [CrossRef] [Green Version]
  77. Zhang, H.; Zhai, Z.; Wang, Y.; Zhang, J.; Wu, H.; Wang, Y.; Li, C.; Li, D.; Lu, L.; Wang, X.; et al. Resveratrol ameliorates ionizing irradiation-induced long-term hematopoietic stem cell injury in mice. Free Radic. Biol. Med. 2013, 54, 40–50. [Google Scholar] [CrossRef] [Green Version]
  78. Petiti, J.; Rosso, V.; Lo Iacono, M.; Panuzzo, C.; Calabrese, C.; Signorino, E.; Pironi, L.; Cartellà, A.; Bracco, E.; Pergolizzi, B.; et al. Curcumin induces apoptosis in JAK2-mutated cells by the inhibition of JAK2/STAT and mTORC1 pathways. J. Cell. Mol. Med. 2019, 23, 4349–4357. [Google Scholar] [CrossRef] [Green Version]
  79. Murphy, F.; Kroll, M.E.; Pirie, K.; Reeves, G.; Green, J.; Beral, V. Body size in relation to incidence of subtypes of haematological malignancy in the prospective Million Women Study. Br. J. Cancer 2013, 108, 2390–2398. [Google Scholar] [CrossRef] [Green Version]
  80. Valet, C.; Batut, A.; Vauclard, A.; Dortignac, A.; Bellio, M.; Payrastre, B.; Valet, P.; Severin, S. Adipocyte Fatty Acid Transfer Supports Megakaryocyte Maturation. Cell Rep. 2020, 32, 107875. [Google Scholar] [CrossRef]
  81. Huberty, J.; Eckert, R.; Larkey, L.; Gowin, K.; Mitchell, J.; Mesa, R. Perceptions of Myeloproliferative Neoplasm Patients Participating in an Online Yoga Intervention: A Qualitative Study. Integr. Cancer Ther. 2018, 17, 1150–1162. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  82. Huberty, J.; Eckert, R.; Dueck, A.; Kosiorek, H.; Larkey, L.; Gowin, K.; Mesa, R. Online yoga in myeloproliferative neoplasm patients: Results of a randomized pilot trial to inform future research. BMC Complementary Altern. Med. 2019, 19, 121. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  83. Singer, K.; DelProposto, J.; Morris, D.L.; Zamarron, B.; Mergian, T.; Maley, N.; Cho, K.W.; Geletka, L.; Subbaiah, P.; Muir, L.; et al. Diet-induced obesity promotes myelopoiesis in hematopoietic stem cells. Mol. Metab. 2014, 3, 664–675. [Google Scholar] [CrossRef] [PubMed]
  84. Tadokoro, Y.; Hoshii, T.; Yamazaki, S.; Eto, K.; Ema, H.; Kobayashi, M.; Ueno, M.; Ohta, K.; Arai, Y.; Hara, E.; et al. Spred1 Safeguards Hematopoietic Homeostasis against Diet-Induced Systemic Stress. Cell Stem Cell 2018, 22, 713–725.e8. [Google Scholar] [CrossRef] [Green Version]
  85. Luo, Y.; Chen, G.L.; Hannemann, N.; Ipseiz, N.; Krönke, G.; Bäuerle, T.; Munos, L.; Wirtz, S.; Schett, G.; Bozec, A. Microbiota from Obese Mice Regulate Hematopoietic Stem Cell Differentiation by Altering the Bone Niche. Cell Metab. 2015, 22, 886–894. [Google Scholar] [CrossRef] [Green Version]
  86. Hsu, W.L.; Preston, D.L.; Soda, M.; Sugiyama, H.; Funamoto, S.; Kodama, K.; Kimura, A.; Kamada, N.; Dohy, H.; Tomonaga, M.; et al. The incidence of leukemia, lymphoma and multiple myeloma among atomic bomb survivors: 1950-2001. Radiat. Res. 2013, 179, 361–382. [Google Scholar] [CrossRef] [Green Version]
  87. Gillies, M.; Haylock, R.; Hunter, N.; Zhang, W. Risk of Leukemia Associated with Protracted Low-Dose Radiation Exposure: Updated Results from the National Registry for Radiation Workers Study. Radiat. Res. 2019, 192, 527–537. [Google Scholar] [CrossRef] [Green Version]
  88. Poluben, L.; Puligandla, M.; Neuberg, D.; Bryke, C.R.; Hsu, Y.; Shumeiko, O.; Yuan, X.; Voznesensky, O.; Pihan, G.; Adam, M.; et al. Characteristics of myeloproliferative neoplasms in patients exposed to ionizing radiation following the Chernobyl nuclear accident. Am. J. Hematol. 2019, 94, 62–73. [Google Scholar] [CrossRef] [Green Version]
  89. Mele, A.; Visani, G.; Pulsoni, A.; Monarca, B.; Castelli, G.; Stazi, M.A.; Gentile, G.; Mandelli, F. Risk factors for essential thrombocythemia: A case-control study. Italian Leukemia Study Group. Cancer 1996, 77, 2157–2161. [Google Scholar] [CrossRef]
  90. Najean, Y.; Rain, J.D.; Billotey, C. Epidemiological data in polycythaemia vera: A study of 842 cases. Hematol. Cell Ther. 1998, 40, 159–165. [Google Scholar]
  91. Tondel, M.; Persson, B.; Carstensen, J. Myelofibrosis and benzene exposure. Occup. Med. (Oxf. Engl.) 1995, 45, 51–52. [Google Scholar] [CrossRef] [PubMed]
  92. Heavner, K.; Gross-Davis, C.A.; Frank, A.L.; Newschaffer, C.; Klotz, J.; Burstyn, I. Working environment and myeloproliferative neoplasm: A population-based case-control study following a cluster investigation. Am. J. Ind. Med. 2015, 58, 595–604. [Google Scholar] [CrossRef] [PubMed]
  93. Seaman, V.; Dearwent, S.M.; Gable, D.; Lewis, B.; Metcalf, S.; Orloff, K.; Tierney, B.; Zhu, J.; Logue, J.; Marchetto, D.; et al. A Multidisciplinary Investigation of a Polycythemia Vera Cancer Cluster of Unknown Origin. Int. J. Environ. Res. Public Health 2010, 7, 1139–1152. [Google Scholar] [CrossRef] [PubMed]
  94. Seaman, V.; Jumaan, A.; Yanni, E.; Lewis, B.; Neyer, J.; Roda, P.; Xu, M.; Hoffman, R. Use of molecular testing to identify a cluster of patients with polycythemia vera in eastern Pennsylvania. Cancer Epidemiol. Biomark. Prev. 2009, 18, 534–540. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  95. Buchanich, J.M.; Mertz, K.J.; Washington, T.L.; Logue, J.N.; Marchetto, D.; Roda, P.I.; Irvin-Barnwell, E. Updated and expanded study of polycythemia vera and other myeloproliferative neoplasms in the tri-county area. J. Regist. Manag. 2014, 41, 175–181. [Google Scholar]
  96. Galobardes, B.; Lynch, J.W.; Davey Smith, G. Childhood socioeconomic circumstances and cause-specific mortality in adulthood: Systematic review and interpretation. Epidemiol. Rev. 2004, 26, 7–21. [Google Scholar] [CrossRef] [Green Version]
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Figure 1. Overview of Factors that Could Impact Normal and Malignant Hematopoiesis.
Figure 1. Overview of Factors that Could Impact Normal and Malignant Hematopoiesis.
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Figure 2. Proposed lifestyle modifications for prevention of hematologic malignancies.
Figure 2. Proposed lifestyle modifications for prevention of hematologic malignancies.
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MDPI and ACS Style

Ramanathan, G.; Hoover, B.M.; Fleischman, A.G. Impact of Host, Lifestyle and Environmental Factors in the Pathogenesis of MPN. Cancers 2020, 12, 2038. https://doi.org/10.3390/cancers12082038

AMA Style

Ramanathan G, Hoover BM, Fleischman AG. Impact of Host, Lifestyle and Environmental Factors in the Pathogenesis of MPN. Cancers. 2020; 12(8):2038. https://doi.org/10.3390/cancers12082038

Chicago/Turabian Style

Ramanathan, Gajalakshmi, Brianna M Hoover, and Angela G Fleischman. 2020. "Impact of Host, Lifestyle and Environmental Factors in the Pathogenesis of MPN" Cancers 12, no. 8: 2038. https://doi.org/10.3390/cancers12082038

APA Style

Ramanathan, G., Hoover, B. M., & Fleischman, A. G. (2020). Impact of Host, Lifestyle and Environmental Factors in the Pathogenesis of MPN. Cancers, 12(8), 2038. https://doi.org/10.3390/cancers12082038

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