1
|
Almohideb M, Waiters AK, Gerstein W. Familial Classic Kaposi Sarcoma in Two Siblings: Case Report and Literature Review. J Cutan Med Surg 2013; 17:356-61. [DOI: 10.2310/7750.2013.12082] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Background: Kaposi sarcoma (KS) is a cutaneous endothelial vascular proliferation with four subtypes: iatrogenic, acquired immune deficiency syndrome (AIDS) related, African, and classic. Familial cases of KS are rare, with 72 cases reported to date, and all were described with the classic variant. The occurrence of classic KS in the Jewish population is well documented, and most of the familial classic KS cases were also reported in Jewish families. Objective: We briefly present the history, biopsies, laboratory data, diagnosis, and treatment of localized lower limb classic KS in two siblings of Jewish Eastern European ethnic descent with their response to different therapy modalities. One of our cases had the second longest reported period of follow-up for familial classic KS of 40 years.
Collapse
Affiliation(s)
- Mohammad Almohideb
- From the Division of Dermatology and Department of Pathology, Faculty of Medicine, McGill University, Montreal, QC
| | - A. Kevin Waiters
- From the Division of Dermatology and Department of Pathology, Faculty of Medicine, McGill University, Montreal, QC
| | - William Gerstein
- From the Division of Dermatology and Department of Pathology, Faculty of Medicine, McGill University, Montreal, QC
| |
Collapse
|
2
|
Kaasinen E, Aavikko M, Vahteristo P, Patama T, Li Y, Saarinen S, Kilpivaara O, Pitkänen E, Knekt P, Laaksonen M, Artama M, Lehtonen R, Aaltonen LA, Pukkala E. Nationwide registry-based analysis of cancer clustering detects strong familial occurrence of Kaposi sarcoma. PLoS One 2013; 8:e55209. [PMID: 23365693 PMCID: PMC3554690 DOI: 10.1371/journal.pone.0055209] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2012] [Accepted: 12/23/2012] [Indexed: 11/18/2022] Open
Abstract
Many cancer predisposition syndromes are rare or have incomplete penetrance, and traditional epidemiological tools are not well suited for their detection. Here we have used an approach that employs the entire population based data in the Finnish Cancer Registry (FCR) for analyzing familial aggregation of all types of cancer, in order to find evidence for previously unrecognized cancer susceptibility conditions. We performed a systematic clustering of 878,593 patients in FCR based on family name at birth, municipality of birth, and tumor type, diagnosed between years 1952 and 2011. We also estimated the familial occurrence of the tumor types using cluster score that reflects the proportion of patients belonging to the most significant clusters compared to all patients in Finland. The clustering effort identified 25,910 birth name-municipality based clusters representing 183 different tumor types characterized by topography and morphology. We produced information about familial occurrence of hundreds of tumor types, and many of the tumor types with high cluster score represented known cancer syndromes. Unexpectedly, Kaposi sarcoma (KS) also produced a very high score (cluster score 1.91, p-value <0.0001). We verified from population records that many of the KS patients forming the clusters were indeed close relatives, and identified one family with five affected individuals in two generations and several families with two first degree relatives. Our approach is unique in enabling systematic examination of a national epidemiological database to derive evidence of aberrant familial aggregation of all tumor types, both common and rare. It allowed effortless identification of families displaying features of both known as well as potentially novel cancer predisposition conditions, including striking familial aggregation of KS. Further work with high-throughput methods should elucidate the molecular basis of the potentially novel predisposition conditions found in this study.
Collapse
Affiliation(s)
- Eevi Kaasinen
- Genome-Scale Biology Research Program, and Department of Medical Genetics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Haartman Institute, University of Helsinki, Helsinki, Finland
| | - Mervi Aavikko
- Genome-Scale Biology Research Program, and Department of Medical Genetics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Haartman Institute, University of Helsinki, Helsinki, Finland
| | - Pia Vahteristo
- Genome-Scale Biology Research Program, and Department of Medical Genetics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Haartman Institute, University of Helsinki, Helsinki, Finland
| | - Toni Patama
- Finnish Cancer Registry, Institute for Statistical and Epidemiological Cancer Research, Helsinki, Finland
| | - Yilong Li
- Genome-Scale Biology Research Program, and Department of Medical Genetics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Haartman Institute, University of Helsinki, Helsinki, Finland
| | - Silva Saarinen
- Genome-Scale Biology Research Program, and Department of Medical Genetics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Haartman Institute, University of Helsinki, Helsinki, Finland
| | - Outi Kilpivaara
- Genome-Scale Biology Research Program, and Department of Medical Genetics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Haartman Institute, University of Helsinki, Helsinki, Finland
| | - Esa Pitkänen
- Genome-Scale Biology Research Program, and Department of Medical Genetics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Haartman Institute, University of Helsinki, Helsinki, Finland
| | - Paul Knekt
- National Institute of Health and Welfare, Helsinki, Finland
| | | | - Miia Artama
- Finnish Cancer Registry, Institute for Statistical and Epidemiological Cancer Research, Helsinki, Finland
| | - Rainer Lehtonen
- Genome-Scale Biology Research Program, and Department of Medical Genetics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Haartman Institute, University of Helsinki, Helsinki, Finland
| | - Lauri A. Aaltonen
- Genome-Scale Biology Research Program, and Department of Medical Genetics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Haartman Institute, University of Helsinki, Helsinki, Finland
| | - Eero Pukkala
- Finnish Cancer Registry, Institute for Statistical and Epidemiological Cancer Research, Helsinki, Finland
- School of Health Sciences, University of Tampere, Tampere, Finland
| |
Collapse
|