| Literature DB >> 31106143 |
Feras M Ghazawi1, Nebras Alghazawi2, Michelle Le2, Elena Netchiporouk2, Steven J Glassman1, Denis Sasseville2, Ivan V Litvinov2.
Abstract
The applications of disease cluster investigations in medicine have developed rather rapidly in recent decades. Analyzing the epidemiology of non-random aggregation of patients with a particular disease fostered identification of environmental and external exposures as disease triggers and promoters. Observation of patient clusters and their association with nearby exposures, such as Dr. John Snow's astute mapping analysis in the mid-1800's, which revealed proximity of cholera patients in London to a contaminated water pump infected with Vibrio cholerae, have paved the way for the field of epidemiology. This approach enabled the identification of triggers for many human diseases including infections and cancers. Cutaneous T-cell lymphomas (CTCL) represent a group of non-Hodgkin lymphomas that primarily affect the skin. The detailed pathogenesis by which CTCL develops remains largely unknown. Notably, non-random clustering of CTCL patients was reported in several areas worldwide and this rare malignancy was also described to affect multiple members of the same family. These observations indicate that external factors are possibly implicated in promoting CTCL lymphomagenesis. Here, we review the epidemiology of CTCL worldwide and the clinical characteristics of CTCL patients, as revealed by global epidemiological data. Further, we review the known risk factors including sex, age, race as well as environmental, infectious, iatrogenic and other exposures, that are implicated in CTCL lymphomagenesis and discuss conceivable mechanisms by which these factors may trigger this malignancy.Entities:
Keywords: CTCL; cutaneous T-cell lymphoma; environmental risk factors; epidemiology; incidence
Year: 2019 PMID: 31106143 PMCID: PMC6499168 DOI: 10.3389/fonc.2019.00300
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
Reported CTCL incidence rates worldwide (rates are denoted as cases per 1 million individuals per year).
| USA | 2.8–10.5 | 1973–2009 | SEER (6,230 patients from Los Angeles, California; San Jose, California; Alaska and rural Georgia) | ( | |
| USA | 2005–2008 | SEER program (17 data sets representing ~10% of the US population: Connecticut, Hawaii, Iowa, New Mexico, Utah, Detroit, San Francisco/Oakland, Seattle/Puget Sound and Atlanta) | ( | ||
| USA | 6.4 | 1973–2002 | SEER; 13 registries covering ~14% of the US population (Los Angeles and San Jose, California; Alaska; and rural Georgia). | ( | |
| USA | 7.7 | 2001–2005 | 16 SEER registries representing ~26% of the US population (Connecticut, Hawaii, Iowa, Kentucky, Louisiana, New Jersey, New Mexico, and Utah), greater California, rural Georgia, and 6 metropolitan areas (Atlanta, Detroit, Los Angeles, San Francisco–Oakland, San Jose–Monterrey, and Seattle–Puget Sound) | ( | |
| USA | MF | 1973–92 | SEER (specific states not mentioned) | ( | |
| Canada | 11.3 | 1992–2010 | Canadian Cancer Registry and Le Registre Québécois du Cancer | ( | |
| Norway | 1.6 (1980–84) | 1980–2003 | Cancer Registry of Norway on non-Hodgkin lymphomas | ( | |
| France | 2.0–5.7 | 1980–2003 | Doubs cancer registry (France) | ( | |
| Kuwait | 1991–2006 | National Dermatology Department (193 patients) | ( | ||
| Wales | 4.8 | 2003–2011 | All Wales Lymphoma Panel (120 Patients) | ( | |
| Japan | 2008–2015 | National Cutaneous Lymphoma Registry (391 patients) | ( |
SEER, Surveillance, Epidemiology, and End Results; MF, mycosis fungoides; SS, Sézary syndrome; CD30.