Zhang Wanfang, Bhandaru Vinay, Johnson Nicholas E, Moore Amy, Lyons Abigail, Berry Reba, Westfield Christina, McMahon Daria, Soim Aida, Cai Bo, McDermott Suzanne
Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, South Carolina, USA.
Biostatistics Center, George Washington University, Washington, DC, USA.
Muscle Nerve. 2025 Oct;72(4):570-579. doi: 10.1002/mus.28464. Epub 2025 Jun 30.
INTRODUCTION/AIM: To optimize patient care and cancer screening in myotonic dystrophy (DM), it is crucial to clarify cancer risks by DM type to guide targeted screening and prevention efforts. This study describes the prevalence of cancer among individuals diagnosed with DM from the Muscular Dystrophy Surveillance, Tracking, and Research Network (MD STARnet), and compares it to cancer prevalence in the US Surveillance, Epidemiology, and End Result (SEER) data.
This retrospective cohort study used 2008-2019 medical records data on 1229 individuals diagnosed with DM (DM1: 81.4%, DM2: 9.4%, DM-not otherwise specified [NOS]: 9.2%) from MD STARnet. Age- and sex-specific cancer prevalence rates from SEER were applied to the MD STARnet data to calculate 12-year limited duration (LD) and complete standardized prevalence ratios (SPR) for total cancer and by primary cancer site.
Over a 12-year span, individuals with DM1 had a 4.01-fold higher LD prevalence of thyroid cancer and a 17.97-fold higher LD prevalence of nonmelanoma skin cancer compared to the SEER prevalence, respectively. Complete prevalence assessments identified that individuals with DM1 had a 4.18-fold higher prevalence of thyroid cancer, a 2.36-fold higher prevalence of melanoma, and a 4.68-fold higher prevalence of ovarian cancer. For DM2, the study observed a 34.02-fold higher LD prevalence for nonmelanoma skin cancer. Additionally, a significantly elevated complete prevalence of breast cancer (2.65-fold) was noted for DM2 compared to SEER data.
Future research with larger cohorts is needed to define cancer risks by DM subtype and investigate underlying biological mechanisms.
引言/目的:为了优化强直性肌营养不良(DM)患者的护理和癌症筛查,根据DM类型明确癌症风险对于指导针对性筛查和预防工作至关重要。本研究描述了肌肉萎缩症监测、追踪和研究网络(MD STARnet)中被诊断为DM的个体的癌症患病率,并将其与美国监测、流行病学和最终结果(SEER)数据中的癌症患病率进行比较。
这项回顾性队列研究使用了MD STARnet中2008 - 2019年1229例被诊断为DM的个体的医疗记录数据(DM1:81.4%,DM2:9.4%,未另作说明的DM [NOS]:9.2%)。将SEER中按年龄和性别划分的癌症患病率应用于MD STARnet数据,以计算12年有限期(LD)以及总体癌症和按原发癌部位划分的完全标准化患病率比(SPR)。
在12年期间,与SEER患病率相比,DM1个体甲状腺癌的LD患病率高4.01倍,非黑色素瘤皮肤癌的LD患病率高17.9倍。完全患病率评估发现,DM1个体甲状腺癌患病率高4.18倍,黑色素瘤患病率高2.36倍,卵巢癌患病率高4.68倍。对于DM2,该研究观察到非黑色素瘤皮肤癌的LD患病率高34.02倍。此外,与SEER数据相比,DM2的乳腺癌完全患病率显著升高(2.65倍)。
需要对更大队列进行未来研究,以根据DM亚型确定癌症风险并研究潜在的生物学机制。