Have a personal or library account? Click to login
Cancer Risk Studies and Priority Areas for Cancer Risk Appraisal in Uganda Cover

Cancer Risk Studies and Priority Areas for Cancer Risk Appraisal in Uganda

Open Access
|Jul 2020

References

  1. 1Ferlay J, et al. Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods. International Journal of Cancer. 2019; 144(8): 19411953. DOI: 10.1002/ijc.31937
  2. 2Bray F, et al. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer Journal for Clinicians. 2018; 68(6): 394424. DOI: 10.3322/caac.21492
  3. 3Sauer AG, et al. Current prevalence of major cancer risk factors and screening test use in the United States: disparities by education and race/ethnicity. Cancer Epidemiology and Prevention Biomarkers. 2019; 28(4): 629642. DOI: 10.1158/1055-9965.EPI-18-1169
  4. 4Ndejjo R, et al. Knowledge, facilitators and barriers to cervical cancer screening among women in Uganda: A qualitative study. BMJ Open. 2017; 7(6): e016282. DOI: 10.1136/bmjopen-2017-016282
  5. 5Mwaka AD, et al. Symptomatic presentation with cervical cancer in Uganda: a qualitative study assessing the pathways to diagnosis in a low-income country. BMC Women’s Health. 2015; 15(1): 15. DOI: 10.1186/s12905-015-0167-4
  6. 6Mwaka A, Okello E, Orach C. Barriers to biomedical care and use of traditional medicines for treatment of cervical cancer: An exploratory qualitative study in northern U ganda. European Journal of Cancer Care. 2015; 24(4): 503513. DOI: 10.1111/ecc.12211
  7. 7Mutyaba T, Mmiro FA, Weiderpass E. Knowledge, attitudes and practices on cervical cancer screening among the medical workers of Mulago Hospital, Uganda. BMC Medical Education. 2006; 6(1): 13. DOI: 10.1186/1472-6920-6-13
  8. 8Sekyanzi J. Knowledge and awareness of cervical cancer among female medical students at Kampala International University. 2019.
  9. 9Twinomujuni C, Nuwaha F, Babirye JN. Understanding the Low level of cervical cancer screening in Masaka Uganda using the ASE model: A community-based survey. PloS One. 2015; 10(6): e0128498. DOI: 10.1371/journal.pone.0128498
  10. 10Wanyenze RK, et al. Uptake and correlates of cervical cancer screening among HIV-infected women attending HIV care in Uganda. Global Health Action. 2017; 10(1): 1380361. DOI: 10.1080/16549716.2017.1380361
  11. 11Ogilvie GS, et al. Results of a community-based cervical cancer screening pilot project using human papillomavirus self-sampling in Kampala, Uganda. International Journal of Gynecology & Obstetrics. 2013; 122(2): 118123. DOI: 10.1016/j.ijgo.2013.03.019
  12. 12Hasahya OT, et al. Beliefs, perceptions and health-seeking behaviours in relation to cervical cancer: A qualitative study among women in Uganda following completion of an HPV vaccination campaign. Global Health Action. 2016; 9(1): 29336. DOI: 10.3402/gha.v9.29336
  13. 13Byaruhanga C. Factors Associated with Cervical Cancer Screening. A Case Study of Mukono Municipality. 2018; Makerere University.
  14. 14Banura C, et al. Prevalence, incidence and clearance of human papillomavirus infection among young primiparous pregnant women in Kampala, Uganda. International Journal of Cancer. 2008; 123(9): 21802187. DOI: 10.1002/ijc.23762
  15. 15Kisaakye E, et al. Level and factors associated with uptake of human papillomavirus infection vaccine among female adolescents in Lira District, Uganda. The Pan African Medical Journal. 2018; 31. DOI: 10.11604/pamj.2018.31.184.14801
  16. 16Ndejjo R, et al. Uptake of cervical cancer screening and associated factors among women in rural Uganda: A cross sectional study. PLoS One. 2016; 11(2): e0149696. DOI: 10.1371/journal.pone.0149696
  17. 17Mugisha E, et al. Feasibility of delivering HPV vaccine to girls aged 10 to 15 years in Uganda. African Health Sciences. 2015; 15(1): 3341. DOI: 10.4314/ahs.v15i1.5
  18. 18Wawer MJ, et al. Effect of circumcision of HIV-negative men on transmission of human papillomavirus to HIV-negative women: A randomised trial in Rakai, Uganda. The Lancet. 2011; 377(9761): 209218. DOI: 10.1016/S0140-6736(10)61967-8
  19. 19Mwaka AD, et al. Understanding cervical cancer: an exploration of lay perceptions, beliefs and knowledge about cervical cancer among the Acholi in northern Uganda. BMC Women’s Health. 2014; 14(1): 84. DOI: 10.1186/1472-6874-14-84
  20. 20Jatho A, Bikaitwoha ME, Mugisha NM. Socio-culturally mediated factors and lower level of education are the main influencers of functional cervical cancer literacy among women in Mayuge, Eastern Uganda. 2020. DOI: 10.3332/ecancer.2020.1004
  21. 21Orem J, et al. Epstein-Barr virus viral load and serology in childhood non-Hodgkin’s lymphoma and chronic inflammatory conditions in Uganda: Implications for disease risk and characteristics. Journal of Medical Virology. 2014; 86(10): 17961803. DOI: 10.1002/jmv.23988
  22. 22Tumwine LK, et al. EBV, HHV8 and HIV in B cell non-Hodgkin lymphoma in Kampala, Uganda. Infectious Agents and Cancer. 2010; 5(1): 12. DOI: 10.1186/1750-9378-5-12
  23. 23Tumwine LK, et al. Primary effusion lymphoma associated with Human Herpes Virus-8 and Epstein Barr virus in an HIV-infected woman from Kampala, Uganda: A case report. Journal of Medical Case Reports. 2011; 5(1): 60. DOI: 10.1186/1752-1947-5-60
  24. 24Peprah S, et al. Risk factors for Burkitt lymphoma in East African children and minors: A case–control study in malaria-endemic regions in Uganda, Tanzania and Kenya. International Journal of Cancer. 2019. DOI: 10.1002/ijc.32390
  25. 25Maziarz M, et al. A cross-sectional study of asymptomatic Plasmodium falciparum infection burden and risk factors in general population children in 12 villages in northern Uganda. Malaria Journal. 2018; 17(1): 240. DOI: 10.1186/s12936-018-2379-1
  26. 26Legason ID, et al. Evaluating the causal link between malaria infection and endemic burkitt lymphoma in Northern Uganda: A mendelian randomization study. EBioMedicine. 2017; 25: 5865. DOI: 10.1016/j.ebiom.2017.09.037
  27. 27Derkach A, et al. Associations between IgG reactivity to Plasmodium falciparum erythrocyte membrane protein 1 (PfEMP1) antigens and Burkitt lymphoma in Ghana and Uganda case-control studies. EBioMedicine. 2019; 39: 358368. DOI: 10.1016/j.ebiom.2018.12.020
  28. 28Matrajt L, et al. Virus and host-specific differences in oral human herpesvirus shedding kinetics among Ugandan women and children. Scientific Reports. 2017; 7(1): 13105. DOI: 10.1038/s41598-017-12994-0
  29. 29Buckle GC, et al. Factors influencing time to diagnosis and initiation of treatment of endemic Burkitt Lymphoma among children in Uganda and western Kenya: A cross-sectional survey. Infectious Agents and Cancer. 2013; 8(1): 36. DOI: 10.1186/1750-9378-8-36
  30. 30Galukande M, et al. Breast cancer risk factors among Ugandan women at a tertiary hospital: A case-control study. Oncology. 2016; 90(6): 356362. DOI: 10.1159/000445379
  31. 31Sighoko D, et al. Breast cancer risk after full-term pregnancies among A frican women from Nigeria, Cameroon, and Uganda. Cancer. 2015; 121(13): 22372243. DOI: 10.1002/cncr.29305
  32. 32Qian F, et al. Alcohol consumption and breast cancer risk among women in three sub-Saharan African countries. PLoS One. 2014; 9(9): e106908. DOI: 10.1371/journal.pone.0106908
  33. 33Awio JP, et al. High serum estradiol confers no risk for breast cancer: Another disparity for sub Saharan Africa women. Pan African Medical Journal. 2012; 12(1).
  34. 34Adedokun B, et al. A case-control study of benign breast disease and breast cancer among indigenous African women. 2019; AACR. DOI: 10.1158/1538-7445.AM2019-624
  35. 35Adedokun B, et al. Prevalence of Inherited Mutations in Breast Cancer Predisposition Genes among Uganda and Cameroon Women. Cancer Epidemiology and Prevention Biomarkers. 2019. DOI: 10.1158/1055-9965.EPI-19-0506
  36. 36McKenzie F, et al. Breast cancer awareness in the sub-Saharan African ABC-DO cohort: African Breast Cancer—Disparities in Outcomes study. Cancer Causes & Control. 2018; 29(8): 721730. DOI: 10.1007/s10552-018-1047-7
  37. 37Godfrey K, Agatha T, Nankumbi J. Breast cancer knowledge and breast self-examination practices among female university students in Kampala, Uganda: A descriptive study. Oman Medical Journal. 2016; 31(2): 129. DOI: 10.5001/omj.2016.25
  38. 38Kulundu CA. Prevalence and Factors Associated with Breast Self Examination for Breast Cancer Detection Among Female Students of International Health Sciences University. 2014; International Health Sciences University.
  39. 39Atuhairwe C, et al. The effect of knowledge on uptake of breast cancer prevention modalities among women in Kyadondo County, Uganda. BMC Public Health. 2018; 18(1): 279. DOI: 10.1186/s12889-018-5183-5
  40. 40Scheel JR, et al. Role of family obligation stress on Ugandan women’s participation in preventive breast health. The Oncologist. 2019; 24(5): 624631. DOI: 10.1634/theoncologist.2017-0553
  41. 41Matovu A, et al. Pilot study of a resource-appropriate strategy for downstaging breast cancer in rural Uganda. Journal of Global Radiology. 2016; 2(1): 1. DOI: 10.7191/jgr.2016.1021
  42. 42Okello J, et al. Breast cancer detection using sonography in women with mammographically dense breasts. BMC Medical Imaging. 2014; 14(1): 41. DOI: 10.1186/s12880-014-0041-0
  43. 43Kabwama SN, et al. Tobacco use and associated factors among Adults in Uganda: Findings from a nationwide survey. Tobacco Induced Diseases. 2016; 14(1): 27. DOI: 10.1186/s12971-016-0093-8
  44. 44Kabwama SN, et al. Practices related to tobacco sale, promotion and protection from tobacco smoke exposure in restaurants and bars in Kampala before implementation of the Uganda Tobacco Control Act 2015. Tobacco Induced Diseases. 2017; 15(1): 24. DOI: 10.1186/s12971-017-0129-8
  45. 45Gravely S, et al. Knowledge, opinions and compliance related to the 100% smoke-free law in hospitality venues in Kampala, Uganda: Cross-sectional results from the KOMPLY Project. BMJ Open. 2018; 8(1): e017601. DOI: 10.1136/bmjopen-2017-017601
  46. 46Kabwama SN, Kadobera D, Ndyanabangi S. Perceptions about the harmfulness of tobacco among adults in Uganda: Findings from the 2013 Global Adult Tobacco Survey. Tobacco Induced Diseases. 2018; 16. DOI: 10.18332/tid/99574
  47. 47Kabwama SN, et al. Alcohol use among adults in Uganda: Findings from the countrywide non-communicable diseases risk factor cross-sectional survey. Global Health Action. 2016; 9(1): 31302. DOI: 10.3402/gha.v9.31302
  48. 48MONdO CK, et al. The prevalence and distribution of non-communicable diseases and their risk factors in Kasese district, Uganda. Cardiovascular Journal of Africa. 2013; 24(3): 52. DOI: 10.5830/CVJA-2012-081
  49. 49Nakandi H, et al. Knowledge, attitudes and practices of Ugandan men regarding prostate cancer. African Journal of Urology. 2013; 19(4): 165170. DOI: 10.1016/j.afju.2013.08.001
  50. 50Du Z, et al. Genetic risk of prostate cancer in Ugandan men. The Prostate. 2018; 78(5): 370376. DOI: 10.1002/pros.23481
  51. 51Du Z, et al. A genome-wide association study of prostate cancer in Uganda. 2017; AACR.
  52. 52Obayo S, et al. Gastrointestinal malignancies at five regional referral hospitals in Uganda. African Health Sciences. 2017; 17(4): 10511058. DOI: 10.4314/ahs.v17i4.13
  53. 53Ocama P, et al. Factors associated with carcinoma of the oesophagus at Mulago Hospital, Uganda. African Health Sciences. 2008; 8(2).
  54. 54Okello S, et al. Population attributable fraction of Esophageal squamous cell carcinoma due to smoking and alcohol in Uganda. BMC Cancer. 2016; 16(1): 446. DOI: 10.1186/s12885-016-2492-x
  55. 55Bwogi J, et al. Hepatitis B infection is highly endemic in Uganda: Findings from a national serosurvey. African Health Sciences. 2009; 9(2).
  56. 56Stabinski L, et al. Hepatitis B virus and sexual behavior in Rakai, Uganda. Journal of Medical Virology. 2011; 83(5): 796800. DOI: 10.1002/jmv.22051
  57. 57Bayo P, et al. High prevalence of hepatitis B virus infection among pregnant women attending antenatal care: A cross-sectional study in two hospitals in northern Uganda. BMJ Open. 2014; 4(11): e005889. DOI: 10.1136/bmjopen-2014-005889
  58. 58Ziraba AK, et al. Sero-prevalence and risk factors for hepatitis B virus infection among health care workers in a tertiary hospital in Uganda. BMC Infectious Diseases. 2010; 10(1): 191. DOI: 10.1186/1471-2334-10-191
  59. 59Kang M-S, et al. Longitudinal evaluation of aflatoxin exposure in two cohorts in south-western Uganda. Food Additives & Contaminants: Part A. 2015; 32(8): 13221330. DOI: 10.1080/19440049.2015.1048749
  60. 60Wabinga HR, et al. Trends in the incidence of cancer in Kampala, Uganda 1991–2010. International Journal of Cancer. 2014; 135(2): 432439. DOI: 10.1002/ijc.28661
  61. 61Parkin DM, et al. Changing cancer incidence in Kampala, Uganda, 1991–2006. International Journal of Cancer. 2010; 126(5): 11871195. DOI: 10.1002/ijc.24838
  62. 62Okongo F, et al. Cancer incidence in Northern Uganda (2013–2016). International Journal of Cancer. 2019; 144(12): 29852991. DOI: 10.1002/ijc.32053
  63. 63Ogwang MD, et al. Incidence and geographic distribution of endemic Burkitt lymphoma in northern Uganda revisited. International Journal of Cancer. 2008; 123(11): 26582663. DOI: 10.1002/ijc.23800
  64. 64Tezak AL. “A Wound That Never Heals”: Health-Seeking Behaviors and Attitudes Towards Breast Cancer and Cancer in General Among Women in Nakirebe, Uganda. 2016.
  65. 65Ilaboya D, Gibson L, Musoke D. Perceived barriers to early detection of breast cancer in Wakiso District, Uganda using a socioecological approach. Globalization and Health. 2018; 14(1): 9. DOI: 10.1186/s12992-018-0326-0
  66. 66Kumakech E, et al. Integration of HIV and cervical cancer screening perceptions and preferences of communities in Uganda. BMC Women’s Health. 2015; 15(1): 23. DOI: 10.1186/s12905-015-0183-4
  67. 67Mwaka AD, Wabinga HR, Mayanja-Kizza H. Mind the gaps: a qualitative study of perceptions of healthcare professionals on challenges and proposed remedies for cervical cancer help-seeking in post conflict northern Uganda. BMC Family Practice. 2013; 14(1): 193. DOI: 10.1186/1471-2296-14-193
  68. 68Mwaka AD, et al. Social, demographic and healthcare factors associated with stage at diagnosis of cervical cancer: Cross-sectional study in a tertiary hospital in Northern Uganda. BMJ Open. 2016; 6(1): e007690. DOI: 10.1136/bmjopen-2015-007690
  69. 69Foxalla K. The current state of African oncology research publication: how to increase Africa’s research impact. Ecancermedicalscience. 2019; 13: ed93. DOI: 10.3332/ecancer.2019.ed93
  70. 70Zhao W, Chen YQ, Hsu L. On estimation of time-dependent attributable fraction from population-based case-control studies. Biometrics. 2017; 73(3): 866875. DOI: 10.1111/biom.12648
  71. 71Fangfang C, Lan Z, Chuanhua Y. Estimation on the Disease Burden Attributable to 13 Risk Factors in Hubei Province. Chinese Journal of Health Statistics. 2016; 5: 12.
  72. 72Islami F, et al. Proportion and number of cancer cases and deaths attributable to potentially modifiable risk factors in the United States. CA: A Cancer Journal for Clinicians. 2018; 68(1): 3154. DOI: 10.3322/caac.21440
  73. 73Bray F, Soerjomataram I. Population attributable fractions continue to unmask the power of prevention. 2018; Nature Publishing Group. DOI: 10.1038/s41416-018-0062-5
  74. 74Brenner DR, et al. Estimating the current and future cancer burden in Canada: Methodological framework of the Canadian population attributable risk of cancer (ComPARe) study. BMJ Open. 2018; 8(7): e022378. DOI: 10.1136/bmjopen-2018-022378
  75. 75Brenner DR, et al. The burden of cancer attributable to modifiable risk factors in Canada: Methods overview. Preventive Medicine. 2019; 122: 38. DOI: 10.1016/j.ypmed.2019.03.007
  76. 76Heo J, et al. The unrealized potential: cohort effects and age-period-cohort analysis. Epidemiology and Health. 2017; 39. DOI: 10.4178/epih.e2017056
  77. 77Debiasi-enrico E. Time Effects and Socioeconomic Inequalities in Mortality: an Age-Period-Cohort Analysis of the Last 200 Years in Southern Sweden.
  78. 78Reither EN, et al. Should age-period-cohort studies return to the methodologies of the 1970s? Social Science & Medicine. 2015; 128: 356365. DOI: 10.1016/j.socscimed.2015.01.011
  79. 79Yang Y, Land KC. 2013. Age-period-cohort analysis: New models, methods, and empirical applications. Boca Raton, FL: CRC Press.
  80. 80Yang Y, et al. The intrinsic estimator for age-period-cohort analysis: what it is and how to use it. American Journal of Sociology. 2008; 113(6): 16971736. DOI: 10.1086/587154
  81. 81Yang Y, Land KC. Age–period–cohort analysis of repeated cross-section surveys: fixed or random effects? Sociological Methods & Research. 2008; 36(3): 297326. DOI: 10.1177/0049124106292360
  82. 82Iwelunmor J, Newsome V, Airhihenbuwa CO. Framing the impact of culture on health: a systematic review of the PEN-3 cultural model and its application in public health research and interventions. Ethnicity & Health. 2014; 19(1): 2046. DOI: 10.1080/13557858.2013.857768
  83. 83Khorsandi B, et al. Self-efficacy of the first-degree relatives of patients with breast cancer in the prevention of cancer: Using the health belief model. Journal of Cancer Education. 2019; 16. DOI: 10.1007/s13187-019-01551-0
  84. 84Khosravi V, et al. Prostate cancer screening behaviors and the related beliefs among 50- to 70-year-old men in Hamadan: Appraisal of threats and coping. J Educ Community Health. 2018; 4(4): 2031. DOI: 10.21859/jech.4.4.20
  85. 85Sharifikia I, et al. Health belief model-based intervention on women’s knowledge and perceived beliefs about warning signs of Cancer. Asia-Pacific Journal of Oncology Nursing. 2019; 6(4): 431. DOI: 10.4103/apjon.apjon_32_19
  86. 86Hatami T, et al. Effect of multimedia education on nutritional behaviour for colorectal cancer prevention: An application of health belief model. The Malaysian Journal of Medical Sciences. MJMS. 2018; 25(6): 110. DOI: 10.21315/mjms2018.25.6.11
  87. 87Parsa P, et al. Effects of group counseling based on health belief model on cervical cancer screening beliefs and performance of rural women in Kaboudrahang, Iran. Asian Pacific Journal of Cancer Prevention. APJCP. 2017; 18(6): 1525.
  88. 88Ahmadian M, Abu Samah A. An outline of the need for psychology knowledge in health professionals: Implications for community development and breast cancer prevention. Asian Pac J Cancer Prev. 2014; 15: 5097105. DOI: 10.7314/APJCP.2014.15.12.5097
  89. 89Ahmadian M, Samah AA. Application of health behavior theories to breast cancer screening among Asian women. Asian Pacific Journal of Cancer Prevention. 2013; 14(7): 40054013. DOI: 10.7314/APJCP.2013.14.7.4005
  90. 90Kohler RE, et al. A framework for improving early detection of breast cancer in sub-Saharan Africa: A qualitative study of help-seeking behaviors among Malawian women. Patient Education and Counseling. 2017; 100(1): 167173. DOI: 10.1016/j.pec.2016.08.012
  91. 91Lacombe-Duncan A, Newman PA, Baiden P. Human papillomavirus vaccine acceptability and decision-making among adolescent boys and parents: A meta-ethnography of qualitative studies. Vaccine. 2018; 36(19): 25452558. DOI: 10.1016/j.vaccine.2018.02.079
  92. 92Schutt RK. Investigating the social world: The process and practice of research. 2018; Sage Publications.
  93. 93Kennedy C. Interventions for raising breast cancer awareness in women. 2017. DOI: 10.1111/ijn.12582
  94. 94Nabyonga J, Orem J. From knowledge to policy: Lessons from Africa. 2014; American Association for the Advancement of Science.
  95. 95Barrera M Jr., et al. Cultural adaptations of behavioral health interventions: A progress report. Journal of Consulting and Clinical Psychology. 2013; 81(2): 196. DOI: 10.1037/a0027085
  96. 96Reams RR, Odedina FT, Pressey S. Advocacy resource: Engaging the media and promoting your cancer program in Africa. In Infectious agents and cancer. 2013; BioMed Central. DOI: 10.1186/1750-9378-8-S1-S5
  97. 97Kreps GL. Strategic use of communication to market cancer prevention and control to vulnerable populations. Health Marketing Quarterly. 2008; 25(1–2): 204216. DOI: 10.1080/07359680802126327
  98. 98Wakefield MA, Loken B, Hornik RC. Use of mass media campaigns to change health behaviour. The Lancet. 2010; 376(9748): 12611271. DOI: 10.1016/S0140-6736(10)60809-4
  99. 99MacArthur J, et al. The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog). Nucleic Acids Research. 2016; 45(D1): D896D901. DOI: 10.1093/nar/gkw1133
  100. 100Buniello A, et al. The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019. Nucleic Acids Research. 2018; 47(D1): D1005D1012. DOI: 10.1093/nar/gky1120
  101. 101Visscher PM, et al. 10 years of GWAS discovery: Biology, function, and translation. The American Journal of Human Genetics. 2017; 101(1): 522. DOI: 10.1016/j.ajhg.2017.06.005
  102. 102Siontis KC, Patsopoulos NA, Ioannidis JP. Replication of past candidate loci for common diseases and phenotypes in 100 genome-wide association studies. European Journal of Human Genetics. 2010; 18(7): 832. DOI: 10.1038/ejhg.2010.26
  103. 103Sud A, Kinnersley B, Houlston RS. Genome-wide association studies of cancer: Current insights and future perspectives. Nature Reviews Cancer. 2017; 17(11): 692. DOI: 10.1038/nrc.2017.82
  104. 104Zeggini E, et al. Translational genomics and precision medicine: Moving from the lab to the clinic. Science. 2019; 365(6460): 14091413. DOI: 10.1126/science.aax4588
  105. 105Hamada T, et al. Molecular pathological epidemiology: New developing frontiers of big data science to study etiologies and pathogenesis. Journal of Gastroenterology. 2017; 52(3): 265275. DOI: 10.1007/s00535-016-1272-3
  106. 106Ogino S, et al. The role of molecular pathological epidemiology in the study of neoplastic and non-neoplastic diseases in the era of precision medicine. Epidemiology (Cambridge, Mass.). 2016; 27(4): 602. DOI: 10.1097/EDE.0000000000000471
  107. 107Ogino S, et al. Molecular pathological epidemiology of epigenetics: Emerging integrative science to analyze environment, host, and disease. Modern Pathology. 2013; 26(4): 465. DOI: 10.1038/modpathol.2012.214
  108. 108Hamada T, et al. Integration of microbiology, molecular pathology, and epidemiology: a new paradigm to explore the pathogenesis of microbiome-driven neoplasms. The Journal of Pathology. 2019; 247(5): 615628. DOI: 10.1002/path.5236
  109. 109Hasin Y, Seldin M, Lusis A. Multi-omics approaches to disease. Genome Biology. 2017; 18(1): 83. DOI: 10.1186/s13059-017-1215-1
  110. 110Hughes LA, et al. Lifestyle, diet, and colorectal cancer risk according to (epi) genetic instability: current evidence and future directions of molecular pathological epidemiology. Current Colorectal Cancer Reports. 2017; 13(6): 455469. DOI: 10.1007/s11888-017-0395-0
  111. 111Ogino S, et al. Integrative analysis of exogenous, endogenous, tumour and immune factors for precision medicine. Gut. 2018; 67(6): 11681180. DOI: 10.1136/gutjnl-2017-315537
  112. 112Yamauchi M, et al. Colorectal Cancer: A Tale of Two Sides or a Continuum? 2012; BMJ Publishing Group.
  113. 113Nishihara R, et al. Molecular pathological epidemiology gives clues to paradoxical findings. European Journal of Epidemiology. 2015; 30(10): 11291135. DOI: 10.1007/s10654-015-0088-4
  114. 114Nishi A, et al. Integration of molecular pathology, epidemiology and social science for global precision medicine. Expert Review of Molecular Diagnostics. 2016; 16(1): 1123. DOI: 10.1586/14737159.2016.1115346
  115. 115Ogino S, Giovannucci E. Commentary: Lifestyle factors and colorectal cancer microsatellite instability—Molecular pathological epidemiology science, based on unique tumour principle. International Journal of Epidemiology. 2012; 41(4): 10721074. DOI: 10.1093/ije/dys076
  116. 116Ogino S, et al. Insights into pathogenic interactions among environment, host, and tumor at the crossroads of molecular pathology and epidemiology. Annual Review of Pathology: Mechanisms of Disease. 2019; 14: 83103. DOI: 10.1146/annurev-pathmechdis-012418-012818
  117. 117Liu L, et al. Utility of inverse probability weighting in molecular pathological epidemiology. European Journal of Epidemiology. 2018; 33(4): 381392. DOI: 10.1007/s10654-017-0346-8
  118. 118Loscalzo J, Kohane I, Barabasi AL. Human disease classification in the postgenomic era: a complex systems approach to human pathobiology. Molecular Systems Biology. 2007; 3(1). DOI: 10.1038/msb4100163
  119. 119Campos NG, et al. Cost-effectiveness of an HPV self-collection campaign in Uganda: Comparing models for delivery of cervical cancer screening in a low-income setting. Health Policy and Planning. 2017; 32(7): 956968. DOI: 10.1093/heapol/czw182
  120. 120Moses E, et al. Understanding men’s perceptions of human papillomavirus and cervical cancer screening in Kampala, Uganda. Journal of Global Oncology. 2018; 4: 19. DOI: 10.1200/JGO.17.00106
  121. 121Li M, et al. Acceptability of cervical cancer screening using visual inspection among women attending a childhood immunization clinic in Uganda. Papillomavirus Research. 2017; 4: 1721. DOI: 10.1016/j.pvr.2017.06.004
  122. 122Gantt S, et al. Prospective characterization of the risk factors for transmission and symptoms of primary human herpesvirus infections among Ugandan infants. The Journal of Infectious Diseases. 2016; 214(1): 3644. DOI: 10.1093/infdis/jiw076
  123. 123Galukande M, et al. Difference in risk factors for breast cancer by ER status in an indigenous African population. ISRN Oncology. 2013; 2013. DOI: 10.1155/2013/463594
  124. 124Shebl FM, et al. Population-based assessment of kaposi sarcoma-associated herpesvirus DNA in plasma among Ugandans. Journal of Medical Virology. 2013; 85(9): 16021610. DOI: 10.1002/jmv.23613
  125. 125Nalwoga A, et al. Risk factors for Kaposi’s sarcoma-associated herpesvirus DNA in blood and in saliva in rural Uganda. Clinical Infectious Diseases. 2019. DOI: 10.1093/cid/ciz916
  126. 126Rose TM, et al. Quantitative RNAseq analysis of Ugandan KS tumors reveals KSHV gene expression dominated by transcription from the LTd downstream latency promoter. PLoS Pathogens. 2018; 14(12): e1007441. DOI: 10.1371/journal.ppat.1007441
  127. 127Phipps W, et al. Interrogation of HHV-8 transcriptome in KS tumors and association with KS presentation and outcomes in Uganda. Annals of Global Health. 2015; 1(81): 100. DOI: 10.1016/j.aogh.2015.02.732
  128. 128Nankya-Mutyoba J, et al. Hepatitis B virus perceptions and health seeking behaviors among pregnant women in Uganda: Implications for prevention and policy. BMC Health Services Research. 2019; 19(1): 111. DOI: 10.1186/s12913-019-4516-0
  129. 129Newton R, et al. The epidemiology of conjunctival squamous cell carcinoma in Uganda. British Journal of Cancer. 2002; 87(3): 301. DOI: 10.1038/sj.bjc.6600451
  130. 130Yu JJ, et al. HPV infection and EGFR activation/alteration in HIV-infected East African patients with conjunctival carcinoma. PLoS One. 2010; 5(5): e10477. DOI: 10.1371/journal.pone.0010477
  131. 131Mutyaba I, et al. A population-level evaluation of the effect of antiretroviral therapy on cancer incidence in Kyadondo County, Uganda, 1999–2008. Journal of Acquired Immune Deficiency Syndromes (1999). 2015; 69(4): 481. DOI: 10.1097/QAI.0000000000000620
  132. 132Menon MP, et al. Association between HIV infection and cancer stage at presentation at the Uganda Cancer Institute. Journal of Global Oncology. 2017; 4: 19. DOI: 10.1200/JGO.17.00005
DOI: https://doi.org/10.5334/aogh.2873 | Journal eISSN: 2214-9996
Language: English
Published on: Jul 7, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Alfred Jatho, Binh Thang Tran, Jansen Marcos Cambia, Miisa Nanyingi, Noleb Mugume Mugisha, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.