Clinical applicability of proposed algorithm for identifying individuals at risk for hereditary hematologic malignancies

Abstract

Multiple genes have been identified to cause hereditary predispositions to hematologic malignancies, and characterized by an increased risk to develop myelodysplastic syndromes (MDS), acute myeloid leukemia (AML), and/or aplastic anemia (AA). Referral algorithms for patients who may be at higher risk have been proposed, with limited data regarding applicability. Our study aimed to evaluate referral criteria on a population of MDS/AML/AA patients. Demographic information and medical history were obtained from 608 patients referred over a 9-month period. Median age at diagnosis was 67 years (56–73), 387 (64%) were male, and the majority of individuals (54.9%) had AML. Overall, 406 individuals (66.8%) had insufficient documentation to determine whether certain criteria were met. Two hundred and two (33.2%) individuals met at least one criteria for genetic counseling referral; however, only nine (4.5%) were referred. Increased documentation of personal and family history is necessary to better assess and validate the applicability of these criteria.

Keywords:

• Hereditary hematologic malignancies
• clinical detection algorithm
• identifying at risk individuals
• leukemia
• cancer genetics risk assessment

Acknowledgments

All authors contributed to the design of the research study and construction of manuscript. MC performed the chart review. MC and SB analyzed the data. MC and SH performed the statistical analysis.

Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

Potential conflict of interest

Disclosure forms provided by the authors are available with the full text of this article online at https://doi.org/10.1080/10428194.2019.1630618.