Sarah E Tevis1, Kelly K Hunt2, Roberto N Miranda3, Caitlin Lange4, Charles E Butler4, Mark W Clemens4,5. 1. Department of Surgery, University of Colorado, Aurora, CO. 2. Department of Breast Surgical Oncology, MD Anderson Cancer Center, Houston, TX. 3. Department of Hematopathology, MD Anderson Cancer Center, Houston, TX. 4. Department of Plastic Surgery, MD Anderson Cancer Center, Houston, TX. 5. Breast Surgery Section Co-editor for Aesthetic Surgery Journal.
Abstract
BACKGROUND: Breast implant-associated anaplastic large cell lymphoma (BIA-ALCL) is an uncommon T-cell lymphoma associated with textured-surface breast implants. Human leukocyte antigen (HLA) polymorphisms have been described with other forms of lymphoma, but have not been described for BIA-ALCL. OBJECTIVES: The aim of this study was to evaluate HLA polymorphisms in BIA-ALCL patients. METHODS: We prospectively evaluated HLA alleles in patients with BIA-ALCL. HLA was analyzed by probe-based sequence-specific testing and sequence-based typing. The frequencies of HLA-A, HLA-B, HLA-C, HLA-DRB1, and HLA-DQB1 alleles were evaluated. Allele frequencies in the Caucasian European general population were obtained from the National Marrow Donor Program to serve as normative controls. We estimated the relative risk of BIA-ALCL with 95% confidence intervals from a t test. RESULTS: Thirteen patients who had undergone BIA-ALCL and HLA testing were identified from 2017 to 2018. Patients carried 10, 11, and 9 HLA-A, HLA-B, and HLA-C alleles, respectively. There were 8 DRB1 alleles and 5 DQB1 alleles in the BIA-ALCL patients. The A*26 allele occurred significantly more frequently in the general population compared with BIA-ALCL patients (0.2992 vs 0.07692, P < 0.001). CONCLUSIONS: Our results identify a difference between HLA A*26 in patients who develop BIA-ALCL and the general population, and may signify genetic susceptibility factors responsible for germline genetic variation in HLA in patients with BIA-ALCL. Further work is needed to elucidate if these alleles are predictive for BIA-ALCL in women with textured-surface breast implants.Level of Evidence: 4.
BACKGROUND: Breast implant-associated anaplastic large cell lymphoma (BIA-ALCL) is an uncommon T-cell lymphoma associated with textured-surface breast implants. Human leukocyte antigen (HLA) polymorphisms have been described with other forms of lymphoma, but have not been described for BIA-ALCL. OBJECTIVES: The aim of this study was to evaluate HLA polymorphisms in BIA-ALCLpatients. METHODS: We prospectively evaluated HLA alleles in patients with BIA-ALCL. HLA was analyzed by probe-based sequence-specific testing and sequence-based typing. The frequencies of HLA-A, HLA-B, HLA-C, HLA-DRB1, and HLA-DQB1 alleles were evaluated. Allele frequencies in the Caucasian European general population were obtained from the National Marrow Donor Program to serve as normative controls. We estimated the relative risk of BIA-ALCL with 95% confidence intervals from a t test. RESULTS: Thirteen patients who had undergone BIA-ALCL and HLA testing were identified from 2017 to 2018. Patients carried 10, 11, and 9 HLA-A, HLA-B, and HLA-C alleles, respectively. There were 8 DRB1 alleles and 5 DQB1 alleles in the BIA-ALCLpatients. The A*26 allele occurred significantly more frequently in the general population compared with BIA-ALCLpatients (0.2992 vs 0.07692, P < 0.001). CONCLUSIONS: Our results identify a difference between HLA A*26 in patients who develop BIA-ALCL and the general population, and may signify genetic susceptibility factors responsible for germline genetic variation in HLA in patients with BIA-ALCL. Further work is needed to elucidate if these alleles are predictive for BIA-ALCL in women with textured-surface breast implants.Level of Evidence: 4.
Authors: Anand K Deva; Suzanne D Turner; Marshall E Kadin; Mark R Magnusson; H Miles Prince; Roberto N Miranda; Giorgio G Inghirami; William P Adams Journal: Cancers (Basel) Date: 2020-12-21 Impact factor: 6.639
Authors: Birgit Stark; Martin Magnéli; Ivar van Heijningen; Carlos Parreira; Urs Bösch; Michel Rouif; Martin Halle Journal: Aesthetic Plast Surg Date: 2021-07-20 Impact factor: 2.326