Incidence of Myeloid Malignancy in Shwachman-Diamond Syndrome: An International Cohort Study
Authors: Myers Kasiani , He Jie , Goldberg Ben , Reilly Christopher R. , Wan Yang , Zhu Xiaofan , Cesaro Simone , Cipolli Marco , Bertuch Alison A. , O'Farrell Candelaria , Watanabe Kenichiro , Kattamis Antonis , Delaporta Polyxeni , Cotter Melanie , Dunlea Eoghan , Nakano Taizo A. , Geddis Amy E. , Brundige Karyn , Atkinson Ian , Coyne Katherine , Loveless Sara , Cheng Leah , Weller Edie , Donadieu Jean , Shimamura Akiko 
Published: December 2024

Introduction:

Shwachman Diamond syndrome (SDS) is a genetic bone marrow failure syndrome associated with a predisposition to developing myeloid malignancies. Survival is exceptionally poor for patients who develop MDS or AML. Due to the rarity of this condition, the cumulative risk of myeloid malignancies with age is not well characterized, and this understanding is critical to guide effective clinical interventions that improve survival. The paucity of data regarding malignancy risk poses a major barrier to transplant decisions for patients with this leukemia predisposition syndrome. To address this unmet need, we conducted an international collaborative retrospective study with the primary objective of determining the cumulative incidence of myeloid malignancy as a function of age in patients with SDS.

Methods:

All patients with available reports of biallelic SBDS mutations were eligible. Data were extracted from medical records in accordance with institutional and national IRB/ethics regulations. Clinical characteristics and outcomes of patients with biallelic SBDS mutations were included for analysis from an international cohort from 7 countries, including the North American Shwachman-Diamond Syndrome Registry and the French Severe Congenital Neutropenia Registry, China, Italy, Japan, Greece, Ireland, and additional US centers (Baylor College of Medicine, Colorado Children's Hospital and Seattle Children's Hospital). The cumulative incidence of MDS and AML was estimated using cumulative incidence function (CIF) with competing risks. The survival curves were estimated using the Kaplan-Meier method and compared using the logrank test.

Results:

A total of 622 patients with biallelic SBDS mutations were in the study cohort. Median age at last follow up was 13.4 years (range 0-57 years) with 129 patients &gt;age 25 years and 91 patients &gt; age 30 years. There were 372 (59.8%) patients of male sex and 250 (40.2%) patients of female sex. MDS developed in 63 patients with a median age at diagnosis of 14.1 years (range 0-45), and AML in 42 with a median age at diagnosis of 24.2 years (range 0.5-47.3). The cumulative risk (95% confidence interval (CI)) of MDS was 2.4% (1.4-3.9) by age 5 years, 5.2% (3.5-7.4) by age 10 years, 13.4% (9.7-17.7) by age 25 years, and 32.9% (22.2-44) by age 50 years. The cumulative risk (95% CI) of AML was 0.7% (0.2-1.7) by age 5 years, 1.8% (0.9-3.3) by age 10 years, 5.1% (2.9-8.2) by age 25 years, and 28.4% (17-40.8) by age 50 years. The overall cumulative incidence (95% CI) of all myeloid malignancy was 3.2% (1.9-4.8) by age 5 years, 6.9% (4.9-9.4) by age 10 years, 16.1% (12.1-20.7) by age 25 years, and 57.2% (42.9-69.1) by age 50 years. Overall survival with age (95% CI) was 96.7% (95.3-98.2) at age 5 years, 95.8% (94.2-97.5) at age 10 years, 84.8% (80.6-89.3) at age 25 years, and 23.9% (11.8-48.6) at age 50 years.

Conclusions:

Previously, consideration of transplant timing was limited by the paucity of data on cumulative incidence of malignancy with age in SDS due to the rarity of this condition. This international collaboration analyzed data from the largest cohort of SDS patients to date, and found that SDS is associated with a very high lifetime risk of myeloid malignancy exceeding 50% by age 50 years. This study provides data to guide discussions of surveillance and early interventions, including hematopoietic stem cell transplant for SDS patients with evidence of impending malignant transformation prior to progression to malignancy. Development of optimal surveillance approaches for early diagnosis of clonal evolution and novel treatments are sorely needed to develop effective strategies to intercept malignancy and improve survival in patients with SDS.