|Year : 2019 | Volume
| Issue : 2 | Page : 171-177
Risk factors of hematological malignancies in Upper Egypt: a case–control study
Safinaz Hussein1, Doaa Mohamed2, Rania Hafez1
1 Department of Internal Medicine, Clinical Hematology Unit, Assiut University, Assiut, Egypt
2 Department of Public Health and Community Medicine, Assiut University, Assiut, Egypt
|Date of Submission||11-Sep-2018|
|Date of Acceptance||18-Nov-2018|
|Date of Web Publication||28-Jun-2019|
Clinical Hematology Unit, Department of Internal Medicine, Assiut University, Assiut 71516
Source of Support: None, Conflict of Interest: None
Background The definite etiologies of hematological malignancies (HMs) are still unknown.
Objective The aim of our study was to identify the distribution of HMs and its subtypes as well as to determine their risk factors in Assiut Governorate, Upper Egypt.
Patients and methods This case–control study included 1137 patients diagnosed with different HMs (leukemia, lymphoma, myelodysplastic syndromes, and multiple myeloma) and normal healthy controls from January 2014 to December 2017. Data were collected using interviewed administered questionnaire, and clinical and biochemical assessment. Logistic regression analysis was conducted to identify the predictors of HMs and their subtypes.
Results Leukemia was the most common presented HM (75%), nearly half of leukemic cases were acute myeloid leukemia, while non-Hodgkin’s represented the majority of patients with lymphoma. Increasing age and diabetes mellitus were significantly associated with all HMs. Except for multiple myeloma, hepatitis C virus and obesity had significantly higher odds ratio for HMs and their subtypes. Exposure to agricultural chemicals was a risk factor for lymphoma and myelodysplastic syndromes while exposure to electromagnetic field was a significant risk factor for leukemia.
Conclusion and recommendations This is the first study evaluating the different risk factors and distribution of HMs in Upper Egypt. Studies with a more detailed evaluation of the role of the possible risk factors in the occurrence of blood cancers in Egypt are recommended.
Keywords: distribution, hematological malignancies, leukemia, lymphoma, risk factors
|How to cite this article:|
Hussein S, Mohamed D, Hafez R. Risk factors of hematological malignancies in Upper Egypt: a case–control study. Egypt J Intern Med 2019;31:171-7
|How to cite this URL:|
Hussein S, Mohamed D, Hafez R. Risk factors of hematological malignancies in Upper Egypt: a case–control study. Egypt J Intern Med [serial online] 2019 [cited 2019 Aug 20];31:171-7. Available from: http://www.esim.eg.net/text.asp?2019/31/2/171/261731
| Introduction|| |
Hematological malignancies (HMs) are a heterogenous group of diseases characterized by uncontrolled malignant proliferation of hematopoietic cells. During the past 10 years, the frequency of HMs has increased with complete difference between the developing and developed countries . The exact causes of HMs are still unknown although multiple epidemiological studies have reported an association between the development of HMs and several risk factors . Some factors are well documented to increase the risk of some types of leukemia such as benzene exposure and ionizing radiation . However, many other factors were observed to have an association with HMs such as age, gender , tobacco smoking , obesity , hepatitis C virus (HCV) infection , family history , and environmental exposure to pesticides  but with no clear evidence.
In Egypt, a nationally representative study based on data from three governorates, one governorate represented each of the Egyptian geographic strata (upper, middle, and lower), reported Non Hodgkin’s Lymphoma (NHL) among the most frequent cancers in Egypt . Another study in the Gharbiah Governorate conducted during 1999–2005 in Lower Egypt showed that NHL had the highest incidence among all hematological cancers .
| Aim|| |
As there is deficiency of epidemiological studies on HMs in Upper Egypt, the aim of the current study is to achieve a better understanding of the problem of HMs in upper Egypt.
| Objectives|| |
- To identify the distribution of HMs and its subtypes.
- To determine their risk factors in Assiut Governorate, Upper Egypt.
| Patients and methods|| |
This is a case–control study conducted in Assiut Governorate. Assiut is a large governorate which is located in the Middle Upper Egypt region and has a large university hospital and cancer institute which serves the population of the governorate and whole Upper Egypt. The studied population included all patients diagnosed with HMs (1137 cases) including leukemia, lymphoma, myelodysplastic syndromes and multiple myeloma (MM) and 1137 healthy controls. HMs cases were recruited from those presented to the Clinical Hematology Unit, Internal Medicine Department, Assiut University Hospital and South Egypt Cancer Institute, from January 2014 to December 2017. Diagnosis of HM patients was done according to the WHO 2008 guidelines. All patients were subjected to history taking and clinical examination, with careful assessment of clinical signs such as lymphadenopathy and/or organomegaly. Complete blood picture, liver function tests, renal function tests, bone marrow aspirate, bone marrow biopsy, and immunophenotyping were done to cases. Excisional lymph node biopsy along with immunohistochemistry also were done for the diagnosis of lymphoma. Serum and urine protein electrophoresis with immunofixation, serum calcium, lactate dehydrogenase and β2 microglobulin, and complete skeletal survey were performed for the diagnosis of MM.
Data were collected from the studied population through personal interview. The questionnaire included data about: age, gender, residence, self-reported smoking status (yes, no), exposure to electromagnetic fields (cellular telephone, living near powerlines, use of electric appliances), exposure to agricultural chemicals pesticides, and presence of autoimmune disease (systemic lupus erythromatosus, rheumatoid arthritis, and use of immunosuppressive therapy). The participants were considered diabetic according to the diagnostic criteria of American Diabetes Association . Confirmation of positive HCV infection by anti-HCV antibodies (Abs) detection was done by enzyme-linked immunosorbant assay (ELISA) and PCR. Weight and height were measured following a standard methodology. BMI was calculated as weight in kilograms divided by height in meters squared and the participants were categorized as obese or not according to the WHO Global Database on BMI ≥30 kg/m2) . The study was approved by the Medical Ethics Committee of Assiut University. Ethical principles were followed with the study participants including explaining the aim of the study, ensuring voluntary participation and that refusal would have no negative effect on the provided medical services. Informed consent was obtained from all study participants. Confidentiality was assured and maintained by removing the participant’s names from the data entry file. Only numbers were kept for identification.
Data analysis was conducted using the SPSS software version 20 (statistical package for the social sciences, version 20; IBM, Armonk, New York, USA). Continuous data were expressed in the form of mean±SD while qualitative data were expressed in the form of frequencies and percentages. Multivariate logistic regression analysis was performed to identify the significant predictors of HMs such as overall, leukemia and its subtypes, lymphoma, multiple myeloma, and myelodysplastic syndromes as dependent variables. The explanatory variables in the models were age as continuous variable, gender (male, female), residence either urban or rural, being smoker or not, absence or presence of obesity, diabetes, autoimmune disease, HCV infection, and exposure to electrical field and agricultural chemicals. Odds ratios (OR) were reported with their corresponding 95% confidence intervals (95%CI). Statistical significance was considered at the P less than 0.05 level.
| Results|| |
This case–control study included 1137 patients with different HMs and 1137 healthy controls. The median age of HM cases was 50 years with a range of 19–90 and that of control was 35 years with a range of 20–76 years. Men have slightly higher proportion (52.8%) compared with women (47.2%) among HM cases. About two-thirds of the studied cases were rural residents (63.7%) as shown in [Table 1]. Leukemia was the most common presented HM, it represented about three quarters of the studied population (75%), followed by lymphoma (11.4%), multiple myeloma, and myelodysplastic syndromes as shown in [Table 2]. About half of the diagnosed leukemic patients were acute myeloid leukemia (49.7%) while NHL predominated in patients with lymphoma (81.34%).
|Table 1 The characteristic of the studied population (hematological malignancies patients and healthy controls)|
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|Table 2 Distribution of hematological malignancies, adult greater than or equal to 19 years, Assiut Governorate (2014–2017)|
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Increasing age was significantly associated with all types of HMs. Female gender, smoking, and rural residence were significant predictors for developing HMs as total and its subtypes except lymphoma. Those with autoimmune disease have significantly higher OR for HMs (OR=2.04, 95% CI: 1.21–3.46), leukemia (OR=2.27, 95% CI: 1.27–4.06), and MM (OR=6.38, 95% CI: 2.62–15.51) while it was not a risk in lymphoma (OR=0.92, 95% CI: 0.26–3.23) and myelodysplastic syndromes (MDS) (OR=0.78, 95% CI: 0.19–3.16). Being a diabetic patient significantly increased the risk for developing HMs as overall and all its subtypes. Except in MM, those positive for HCV infection and obese patients had significantly higher OR for HMs and its subtypes compared with negative HCV infection and nonobese participants. Exposure to agricultural chemicals was not a significant predictor in developing HM as overall (OR=1.10, 95% CI: 0.71–1.71), leukemia (OR=1.24, 95% CI: 0.79–1.95), or MM (OR=0.83, 95% CI: 0.31–2.22) while it was a risk factor in lymphoma (OR=3.01, 95% CI: 1.45–6.05) and in myelodysplastic syndromes (OR=7.88, 95% CI: 3.04–20.43). Exposure to electrical field was a significant predictor in HMs overall (OR=4.73, 95% CI: 2.96–7.55) and leukemia (OR=5.12, 95% CI: 3.16–8.28) as shown in [Table 3].
|Table 3 Risk factors of hematological malignancies, leukemia, lymphoma, myelodysplastic syndrome, and multiple myeloma; adult cases greater than or equal to 19 years in Assiut Governorate (2014–2017)|
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Regarding leukemia subtypes, increasing age was a significant predictor in all types of leukemia. Women and obese participants have significantly higher OR for occurrence of all leukemia types compared with males and nonobese individuals . Those residing in rural areas are more likely to develop all types of leukemia except acute lymphocytic leukemia (ALL) compared with those residing in urban areas. Smoking was a risk factor for ALL (OR=9.41, 95% CI: 5.31–16.69), chronic myelogenous leukemia (CML) (OR=11.19, 95% CI: 6.54–19.13), and chronic lymphocytic leukemia (CLL) patients (OR=13.21, 95% CI: 6.44–27.13); however, it was not in acute myeloid leukemia (AML) patients (OR=0.76, 95% CI: 0.50–1.15). Existence of autoimmune disease increased the risk for developing ALL (OR=7.58, 95% CI: 3.17–18.15) while it was not a significant predictor for other leukemia types. Being HCV positive the patients increased the risk for getting ALL and CLL but not the myeloid leukemia subtypes. Those exposed to electrical field had higher OR for developing all types of leukemia except CLL (OR=0.31, 95% CI: 0.07–1.34). Exposure to chemical substance was a significant predictor for developing CLL only (OR=12.15, 95% CI: 5.69–25.95). Diabetes mellitus was a risk factor in AML (OR=3.31, 95% CI: 1.72–6.37) and ALL (OR=10.09, 95% CI: 4.66–21.84); however, not in the chronic subtypes as shown in [Table 4].
|Table 4 Risk factors of acute myeloid leukemia, acute lymphoid leukemia, chronic myeloid leukemia, and chronic lymphoid leukemia; adult cases greater than or equal to 19 years in Assiut Governorate (2014–2017)|
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| Discussion|| |
The distribution of HMs in developing countries is different from their distribution in developed countries , with a lack of studies which determine the distribution and the risk factors for HMs in the developing countries. This study is considered the earliest study that aims to evaluate the distribution and risk factors for HMs in Assiut, Upper Egypt.
Our results have shown that leukemia was the most common presented HM in Assiut, Upper Egypt (75%), followed by lymphoma (11.4%). AML was the most frequent subtype of leukemia (49.7%) while NHL predominates in patients with lymphoma (81.34%(.
Regarding developing countries, our results were supported by the results of Egyptian National Cancer Registry Program in Aswan Governorate which reported that leukemia was the most common HM followed by lymphoma . Also, in Sudan, the maximum number of cases were seen in the age group of 45–64 years and in both gender, leukemia had a higher frequency than lymphoma among the reported common cancer sites . In Bangladesh, leukemia patients were over three times higher compared with the NHL patients . A different pattern was observed, where lymphoma specially NHL was the most frequently presented HM as reported by the US Cancer Fact and Figures 2016 . Also, in South Africa (2000–2006) , Nigeria (1999–2005) , and even in Lower Egypt, NHL was the most common HM . In Lower Egypt (Gharbiah Governorate) Study CLL was reported as the most common subtype of leukemia. The difference in the distribution of HMs between upper and lower Egypt could be attributed to the variation in risk factors that needed to be investigated in future studies and to the high prevalence of HCV infection in Lower Egypt.
Regarding the detected significant predictors of HMs as overall and its subtypes in this study, increasing age was a significant risk factor for all HMs with all its subtypes. There is evidence of association between aging and cancer particularly HMs. This could be attributed to demographic shift, prolonged exposure to carcinogens and chronic antigenic stimulation and age-accompanied changes in genetics and immunity. The resulting genetic damage changes do not exclude hematopoietic stem cells .
Gender is an important contributing factor that impacts the risk factors for diseases. Generally, there is observed preponderance for men in malignant hemopathies. In acute leukemia, hypothesis of male risk remains an unexplained fact . In lymphoma, gravidity had a protective role against NHL occurrence . In MDS patients, being male is among the common risk factors. In contrast, the present study showed that women compared with men had a significantly higher risk for developing HMs as overall and all its subtypes except lymphoma.
Regarding residence, our results reported significant association between rural residence and all HMs except lymphoma and ALL. Similarly, a cohort study of health in older women detected positive association of farm or rural residence with acute myeloid leukemia . However, a different situation was observed in Lower Egypt, where a higher urban incidence for all HMs was observed .
In developed countries, about 25–30% of deaths caused by all cancers are related to tobacco smoking . Multiple studies have evaluated the role of smoking in HMs. The International Agency for Research on Cancer (IARC) had previously reported a relation between smoking and AML . In the present study, smoking increased the risk for leukemia combined with ALL, CLL, and CML, but there was no significant association detected with AML. These results are supported by a Japanese study done in 2017 reporting no significant relationship between cigarette smoking and risk of AML even with an increasing dose . Another study had reported an increased risk for AML and CML with increasing intensity of smoking in both men and women and that the risk is markedly decreased in long-term quitters where it becomes comparable to never smokers . Also a Canadian study reported that smoking was not a statistically significant risk factor for all leukemia combined, ALL and CLL but a statistically significant risk factor for AML . On the other side, a Thai study observed no association between smoking and all types of leukemias . Cigarette smoking has been linked to malignancy development by exposing the smokers to a large number of chemical agents such as benzene, arsenic, formaldehyde, and others .
There is a growing concern that exposure to electromagnetic fields increases the incidence of hematological cancers. This was first described by Milham et al. in electrical workers . In the present study, a defined exposure to electromagnetic field had a significant higher OR for aggregated HMs and leukemia, AML, ALL, and CML. A previous case–control study in New Zealand reported a significant risk of acute leukemia in electric field workers in general and specifically in some occupations as welders/flame cutters and telephone line workers . These results were contradicted by another study who found no association between acute leukemia and exposure to electromagnetic fields in general but they reported a significant increase in ALL specific in women with electromagnetic exposure at work compared with never exposed women . Also, a Thai study reported that working with or near powerlines was significantly associated with AML .
In our study, pesticide exposure increased the risk for lymphoma, MDS, and CLL. Multiple previous studies have suggested an association between farmers and risk for leukemia . Hematopoeitic cancers in rodents were linked to exposure to several pesticides such as atrazine, dichlorodiphenyltrichloroethane, and dichlorvos . It is still unclear how the risk of CLL can be increased by exposure to chemicals. Several reports had linked the exposure to pesticides and solvents to immune system impairment and induction of chromosomal rearrangements, which may be a central factor for the development of CLL in these cases . However, on the other side, an Indian case–control study did not show any association between exposure to pesticides and increased risk for leukemia . Our results were supported by Merhi , who observed that exposure to pesticides was not a statistically significant risk factor for leukemia and MM.
Obesity and its association with several cancers have been established by multiple studies . In this study, obesity significantly increased the risk of all studied hematological diseases (combined HMs, aggregated leukemia and its subtypes, lymphoma and MDS) except MM. These results were supported by two previous meta-analyses. One meta-analysis included 26 studies and proved that increased incidence of AML was associated with obesity . The other meta-analysis included four studies which proved a significant increased risk of all leukemia subtypes with obesity. The underlying biological mechanism is unclear. This may be due to the promotion of tumorogenesis through insulin resistance and increased pancreatic insulin secretion. Also, chronic inflammation and impaired immune function may play a role in this process .
Hematologic abnormalities are common presentations of connective tissue diseases. Besides, they are prognostic indicators of inflammatory activity. There is an observed increase of hematologic malignancies, especially lymphoproliferative diseases with autoimmune diseases . However, in the present study, autoimmune diseases were not a significant predictor for lymphoma and CLL. They were risk factors for overall HMs, leukemia (combined), ALL and MM. In agreement with our results, autoimmune disease was found to be a risk factor for HM combined  and multiple myeloma , and not risky for myeloid leukemia  and CML . Contradictory to our observation, autoimmune conditions were significantly associated with AML and MDS. This association between HMs and autoimmune disorders may be explained by the use of medications such as azathioprine in the treatment of these conditions, direct infiltration of bone marrow, or shared genetic predisposition .
HCV infection in Egypt is considered a major health problem. The prevalence of HCV in the age group of 15–59 years was 10% in 2015 . Chronic hepatitis C has a well-documented association with hepatic malignancies . Our results support the evidence of HCV infection with lymphoma and detect a significant association with MDS and leukemias except myeloid subtypes. The strongest evidence for the relationship between HCV and malignancy is for B-NHL. Different mechanisms explaining the HCV-induced malignant transformation have been postulated and this includes cryoglobulinemia, viral-induced cell damage, and lymphocyte proliferation caused by viral antigen stimulation. Previous studies have found a weak association between HCV and other HMs . The high prevalence of HCV in Egypt may explain the association with other HMs in our study.In 2017, 425 million people have diabetes mellitus worldwide with 8222 million cases in Egypt. In our study, diabetes mellitus significantly increased the risk for all studied HMs except chronic leukemia (CML and CLL). This is supported by the results of meta-analysis of 26 observational studies which showed that diabetic patients had a higher OR for developing non-Hodgkin’s lymphoma (OR=1.22, 95% CI=1.07–1.39), leukemia (OR=1.22, 95% CI=1.03–1.44), and myeloma (OR=1.22, 95% CI=0.98–1.53). The odds of leukemia were increased in men more than women and increased in Asians and Americans. However, when evaluating lymphoid and myeloid leukemia separately no clear association was found mostly due to the low number of studies evaluating leukemia included in the meta-analysis . Different pathophysiological mechanisms may explain the role of diabetes in the promotion of carcinogenesis. The American Diabetes Association and the American Cancer Society have previously published a joint consensus report on the association of diabetes and cancer postulating different possible links as hyperglycemia, hyperinsulinemia, insulin growth factor overproduction, and oversecretion of inflammatory cytokines. These phenomena were observed in patients with DM may not only favor malignant transformation but may also lead to tumor progression .
| Conclusion|| |
This is the first study evaluating the different risk factors and distribution of HMs in Upper Egypt. Leukemia was the most common presented HM (75%), nearly half of leukemic cases were acute myeloid leukemia. Increasing age and diabetes mellitus were significantly associated with all HMs.
It is recommended to conduct further nationally representative studies to portray the distribution of HMs in different Egyptian geographical areas and a more detailed evaluation of the role of the possible risk factors in the occurrence of blood cancers in Egypt.
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Conflicts of interest
There are no conflicts of interest.
| References|| |
Hamid GA. The Pattern of Hematological Malignancies at Al-Gamhouria Teaching Hospital, Aden, Yemen, from 2008 to 2010. Turk J Hematol 2012; 29:342–347.
Rodriguez-Abreu D, Bordoni A, Zucca E. Epidemiology of hematological malignancies. Ann Oncol 2007; 18 (Suppl 1):i3–i8.
Floderus B, Persson T, Stenlund C, Wennberg A, Ost A, Knave B.
Occupational exposure to electromagnetic fields in relation to leukemia and brain tumors: a case-control study in Sweden. Cancer Causes Control 1993; 4:465–476.
Smith A, Howell D, Patmore R, Jack A, Roman E. Incidence of haematological malignancy by sub-type: a report from the Haematological Malignancy Research Network. Br J Cancer 2011; 105:1684–1692.
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.
Lichtman MA. Obesity and the risk for a hematological malignancy: leukemia, lymphoma, or myeloma. Oncologist 2010; 15:1083–1101.
Kedia S, Bhatt VR, Rajan SK, Tandra PK, El Behery RA, Akhtari M. Benign and malignant hematological manifestations of chronic hepatitis C virus infection. Int J Prev Med 2014; 5(Suppl 3):S179–S192.
Rauscher GH, Sandler DP, Poole C, Pankow J, Mitchell B, Bloomfield CD et al.
Family history of cancer and incidence of acute leukemia in adults. Am J Epidemiol 2002; 156:517–526.
Pasqualetti P, Casale R, Colantonio D, Collacciani A. Occupational risk for hematological malignancies. Am J Hematol 1991; 38:147–149.
Ibrahim AS, Khaled HM, Mikhail NN, Baraka H, Kamel H. Cancer incidence in Egypt: results of the national population-based cancer registry program. J Cancer Epidemiol 2014; 2014:18.
Herzog C, Dey S, Hablas A, Khaled H, Seifeldin I, Ramadan M. Geographic distribution of hematopoietic cancers in the Nile delta of Egypt. Ann Oncol 2012; 23:2748–2755.
Rayburn WF. Diagnosis and classification of diabetes mellitus: highlights from the American Diabetes Association. J Reprod Med 1997; 42:585–586.
Consultation W. Obesity: preventing and managing the global epiDEMIC. 2000.
Mohammed ME, Hassan AM, Abdelhadi HA, Elsadig MG, Adam DM, Elmamoun K. Burden and Pattern of Cancer in the Sudan, 2000-2006. 2014.
Hossain MS, Iqbal MS, Khan MA, Rabbani MG, Khatun H, Munira S. Diagnosed hematological malignancies in Bangladesh-a retrospective analysis of over 5000 cases from 10 specialized hospitals. BMC Cancer 2014; 14:438.
Siegel RL, Miller KD, Jemal A. Cancer statistics, 2016. CA Cancer J Clin 2016; 66:7–30.
Schonfeld SJ, Erdmann F, Wiggill T, Singh E, Kellett P, Babb C. Hematologic malignancies in South Africa 2000-2006: analysis of data reported to the National Cancer Registry. Cancer Med 2016; 5:728–738.
Babatunde A, Amiwero C, Olatunji P, Durotoye I. Pattern of haematological malignancies in Ilorin, Nigeria: a ten year review. Internet J Hematol 2009; 5:2.
Bron D, Ades L, Fulop T, Goede V, Stauder R. Aging and blood disorders: new perspectives, new challenges. Haematologica 2015; 100:415–417.
Cartwright RA, Gurney KA, Moorman AV. Sex ratios and the risks of haematological malignancies. Br J Haematol 2002; 118:1071–1077.
Horesh N, Horowitz NA. Does gender matter in non-Hodgkin lymphoma? Differences in epidemiology, clinical behavior, and therapy. Rambam Maimonides Med J 2014; 5:4.
Sinner PJ, Cerhan JR, Folsom AR, Ross JA. Positive association of farm or rural residence with acute myeloid leukemia incidence in a cohort of older women. Cancer Epidemiol Prev Biomarkers 2005; 14:2446–2448.
Thomas X, Chelghoum Y. Cigarette smoking and acute leukemia. Leuk Lymphoma 2004; 45:1103–1109.
Smoke T. IARC monographs on the evaluation of carcinogenic risks to humans. 1995.
Ugai T, Matsuo K, Sawada N, Iwasaki M, Yamaji T, Shimazu T. Smoking and subsequent risk of leukemia in Japan: The Japan Public Health Center-based Prospective Study. J Epidemiol 2017; 27:305–310.
Musselman JR, Blair CK, Cerhan JR, Nguyen P, Hirsch B, Ross JA. Risk of adult acute and chronic myeloid leukemia with cigarette smoking and cessation. Cancer Epidemiol 2013; 37:410–416.
Kasim K, Levallois P, Abdous B, Auger P, Johnson KC. Lifestyle factors and the risk of adult leukemia in Canada. Cancer Causes Control 2005; 16:489–500.
Kaufman DW, Anderson TE, Issaragrisil S. Risk factors for leukemia in Thailand. Ann Hematol 2009; 88:1079–1088.
Fircanis S, Merriam P, Khan N, Castillo JJ. The relation between cigarette smoking and risk of acute myeloid leukemia: an updated meta-analysis of epidemiological studies. Am J Hematol 2014; 89:8.
Milham Jr S. Mortality from leukemia in workers exposed to electrical and magnetic fields. N Engl J Med 1982; 307:4.
Bethwaite P, Cook A, Kennedy J, Pearce N. Acute leukemia in electrical workers: a New Zealand case-control study. Cancer Causes Control 2001; 12:683–689.
Willett E, McKinney P, Fear N, Cartwright R, Roman E. Occupational exposure to electromagnetic fields and acute leukaemia: analysis of a case-control study. Occup Environ Med 2003; 60:577–583.
Blair A, White DW. Leukemia cell types and agricultural practices in Nebraska. Arch Environ Health 1985; 40:211–214.
Gold LS, Gold LS, Manley NB, Slone TH, Ward JM. Compendium of chemical carcinogens by target organ: results of chronic bioassays in rats, mice, hamsters, dogs, and monkeys. Toxicol Pathol 2001; 29:639–652.
Blair A, Purdue MP, Weisenburger DD, Baris D. Chemical exposures and risk of chronic lymphocytic leukaemia. Br J Haematol 2007; 139:753–761.
Balasubramaniam G, Saoba SL, Sarhade MN, Kolekar SA. Lifestyle factors including diet and leukemia development: a case-control study from Mumbai, India. Asian Pac J Cancer Prev 2013; 14:5657–5661.
Merhi M, Raynal H, Cahuzac E, Vinson F, Cravedi J, Gamet-Payrastre L. Occupational exposure to pesticides and risk of hematopoietic cancers: meta-analysis of case-control studies. Cancer Causes Control 2007; 18:1209–1226.
Li S, Chen L, Jin W, Ma X, Ma Y, Dong F. Influence of body mass index on incidence and prognosis of acute myeloid leukemia and acute promyelocytic leukemia: a meta-analysis. Sci Rep 2017; 7:17998.
Larsson SC, Wolk A. Overweight and obesity and incidence of leukemia: a meta-analysis of cohort studies. Int J Cancer 2008; 122:1418–1421.
Fietta P, Delsante G, Quaini F. Hematologic manifestations of connective autoimmune diseases. Clin Exp Rheumatol 2009; 27:140–154.
Bernatsky S, Ramsey-Goldman R, Clarke A. Exploring the links between systemic lupus erythematosus and cancer. Rheum Dis Clin 2005; 31:387–402.
Brown LM, Gridley G, Check D, Landgren O. Risk of multiple myeloma and monoclonal gammopathy of undetermined significance among white and black male United States veterans with prior autoimmune, infectious, inflammatory, and allergic disorders. Blood 2008; 111:3388–3394.
Löfström B, Backlin C, Sundström C, Hellström-Lindberg E, Ekbom A, Lundberg IE. Myeloid leukaemia in systemic lupus erythematosus—a nested case-control study based on Swedish registers. Rheumatology 2009; 48:1222–1226.
Anderson LA, Pfeiffer RM, Landgren O, Gadalla S, Berndt SI, Engels EA. Risks of myeloid malignancies in patients with autoimmune conditions. Br J Cancer 2009; 100:822–828.
Kandeel A, Genedy M, El‐Refai S, Funk AL, Fontanet A, Talaat M. The prevalence of hepatitis C virus infection in Egypt 2015: implications for future policy on prevention and treatment. Liver Int 2017; 37:45–53.
Anwar B, Asif N, Hassan K. Haematological malignancies in chronic hepatitis C patients referred for bone marrow biopsy. J Islamabad Med Dent Coll 2013; 2:17–20.
Torres HA, Shigle TL, Hammoudi N, Link JT, Samaniego F, Kaseb A. The oncologic burden of hepatitis C virus infection: a clinical perspective. CA Cancer J Clin 2017; 67:411–431.
Castillo JJ, Mull N, Reagan JL, Nemr S, Mitri J. Increased incidence of non-Hodgkin lymphoma, leukemia, and myeloma in patients with diabetes mellitus type 2: a meta-analysis of observational studies. Blood 2012; 119:4845–4850.
[Table 1], [Table 2], [Table 3], [Table 4]