Research
INTRODUCTION
Albeit we currently know a large set of cancer risk factors such as direct carcinogens and associated (viral) cancer driver genes, cancer driver mutations and a large selection of systemic/environmental risk factors, we still fail to understand the early causative steps in tumourigenesis of the largest part of cancers. Although uniting features – e.g. the involvement of chronic inflammation and the interplay of several indirect cancer risk factors in tumourigenesis - are broadly accepted, recent synergism analyses pointing e.g. at known indirect carcinogens or the microbiome seem to be incomplete. We specifically addressed the epidemiologic association of certain types of cancer, in particular chronic inflammation (CI)-linked colorectal cancer (CRC), breast cancer (BRCA), prostate cancer (PRAD), liver cancer (HCC), pancreatic cancer (PDAC) and others with the consumption of bovine meat and milk products. The link of high cancer incidences and high meat and milk consumption on the regional level suggests a causative contribution of zoonotic-linked infectious agents - such as Bovine Meat and Milk Factors (BMMF) broadly identified in bovine meat and milk - in indirect carcinogenesis (e.g. zur Hausen, 2012, Int J Cancer, zur Hausen & de Villiers, 2014, Sem Oncol, zur Hausen, 2015, Clin Oncol, zur Hausen, 2017, Curr Top Microbiol Immunol, zur Hausen H et al, 2018, Int J Cancer).
BMMFs are frequently isolated from bovine meat and milk samples but also from human material (de Villiers et al, 2019, Emerg Microbes and Infect) and might represent bioactive risk factors for the development of some of the most common human diseases like e.g. breast and colon cancer, but also neurodegenerative disease like Multiple Sclerosis, Alzheimer's and Parkinson's Disease. Positive results might result in novel options for diagnosis and specific disease prevention and treatment (zur Hausen and de Villiers, 2021, Cancer).
We apply basic research for the development of new translational tools and technology for diagnosis and intervention which we test in preclinical models with the aim to generate real-world cancer prevention.