KIT-Associated Familial GIST Syndrome: Response to Tyrosine Kinase Inhibitors and Implications for Risk Management.
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ICR Authors
Authors
Brodey, A
Kounnis, V
Hawkes, L
Jones, RL
McVeigh, TP
Cojocaru, E
Kounnis, V
Hawkes, L
Jones, RL
McVeigh, TP
Cojocaru, E
Document Type
Journal Article
Date
2022-08-05
Date Accepted
2022-05-23
Abstract
Sporadic gastrointestinal stromal tumors (GIST) are rare tumors, with a median age at diagnosis of 60 years. Familial GISTs are very rare and typically associated with earlier onset, with an average age at diagnosis of 48 years. To date, just over 50 familial cases associated with a germline variant KIT or PDGFRa genes have been published. Therefore, there are many challenges in managing these patients, including the timing of starting systemic treatment, considering that most patients have been asymptomatic for a long period before being diagnosed, as well as the choice of tyrosine kinase inhibitor and the plan for surveillance. It is uncertain if early diagnosis through screening of asymptomatic individuals improves overall survival. Screening could start from the age of 18 years but may be considered at earlier ages depending on the underlying genotype and family history. The long-term benefit of early diagnosis or palliative/prophylactic treatment with tyrosine kinase inhibitors is unknown as there are no data available. Long-term side effects of treatment with imatinib are rare but well documented and could be damaging in patients who have no or minimal disease. We present the case of a 53-year-old Caucasian patient who was diagnosed with multifocal GIST and subsequently found to be a carrier of a pathogenic germline KIT variant in exon 11. We discuss the implication of treatment and genetic testing in this case and in familial KIT associated GISTs.
Citation
The Oncologist, 2022, 27 (8), pp. 615 - 620
Source Title
The Oncologist
Publisher
OXFORD UNIV PRESS
ISSN
1083-7159
eISSN
1549-490X
1549-490X
1549-490X
Collections
Research Team
Cancer Genetics Edu&Qual
Cancer Genomics
Cancer Genomics