Santiago Thibaud, Ryan L Subaran, Scott Newman, Alessandro Lagana, David T Melnekoff, Saoirse Bodnar, Meghana Ram, Zachry Soens, William Genthe, Tehilla Brander, Tarek H Mouhieddine, Oliver Van Oekelen, Jane Houldsworth, Hearn Jay Cho, Shambavi Richard, Joshua Richter, Cesar Rodriguez, Adriana Rossi, Larysa Sanchez, Ajai Chari, Erin Moshier, Sundar Jagannath, Samir Parekh, Kenan Onel
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PGVs were identified in 8.6% of the Discovery cohort and 11.5% of the Replication cohort, with a notable presence of high- or moderate-penetrance PGVs (associated with autosomal dominant cancer predisposition) in DNA repair genes (3.6% and 4.1%, respectively). PGVs in BRCA1 (OR = 3.9, FDR < 0.01) and BRCA2 (OR = 7.0, FDR < 0.001) were significantly enriched in patients with multiple myeloma when compared with 134,187 healthy controls. Five of the eight BRCA2 PGV carriers exhibited tumor-specific copy number loss in BRCA2, suggesting somatic loss of heterozygosity. PGVs associated with autosomal dominant cancer predisposition were associated with younger age at diagnosis, personal or familial cancer history, and longer progression-free survival after upfront high-dose melphalan and autologous stem-cell transplantation (P < 0.01). Significance: Our findings suggest up to 10% of patients with multiple myeloma may have an unsuspected cancer predisposition syndrome. Given familial implications and favorable outcomes with high-dose melphalan and autologous stem-cell transplantation in high-penetrance PGV carriers, genetic testing should be considered for young or newly diagnosed patients with a personal or family cancer history. 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引用次数: 0
摘要
多发性骨髓瘤(MM)患者的一级亲属罹患 MM 的风险会增加,但遗传性癌症基因中的致病性种系变异(PGV)对 MM 风险和预后的影响尚未得到很好的描述。为了解决这个问题,我们分析了两个独立队列中 895 名和 786 名 MM 患者的种系外显子。8.6%的发现队列和11.5%的复制队列中发现了PGV,DNA修复基因中的高或中度风险PGV(PGV-As)明显存在(分别为3.6%和4.1%)。BRCA1 中的 PGVs(OR=3.9,FDR
Multiple Myeloma Risk and Outcomes Are Associated with Pathogenic Germline Variants in DNA Repair Genes.
First-degree relatives of patients with multiple myeloma are at increased risk for the disease, but the contribution of pathogenic germline variants (PGV) in hereditary cancer genes to multiple myeloma risk and outcomes is not well characterized. To address this, we analyzed germline exomes in two independent cohorts of 895 and 786 patients with multiple myeloma. PGVs were identified in 8.6% of the Discovery cohort and 11.5% of the Replication cohort, with a notable presence of high- or moderate-penetrance PGVs (associated with autosomal dominant cancer predisposition) in DNA repair genes (3.6% and 4.1%, respectively). PGVs in BRCA1 (OR = 3.9, FDR < 0.01) and BRCA2 (OR = 7.0, FDR < 0.001) were significantly enriched in patients with multiple myeloma when compared with 134,187 healthy controls. Five of the eight BRCA2 PGV carriers exhibited tumor-specific copy number loss in BRCA2, suggesting somatic loss of heterozygosity. PGVs associated with autosomal dominant cancer predisposition were associated with younger age at diagnosis, personal or familial cancer history, and longer progression-free survival after upfront high-dose melphalan and autologous stem-cell transplantation (P < 0.01). Significance: Our findings suggest up to 10% of patients with multiple myeloma may have an unsuspected cancer predisposition syndrome. Given familial implications and favorable outcomes with high-dose melphalan and autologous stem-cell transplantation in high-penetrance PGV carriers, genetic testing should be considered for young or newly diagnosed patients with a personal or family cancer history. See related commentary by Walker, p. 375.
期刊介绍:
The journal Blood Cancer Discovery publishes high-quality Research Articles and Briefs that focus on major advances in basic, translational, and clinical research of leukemia, lymphoma, myeloma, and associated diseases. The topics covered include molecular and cellular features of pathogenesis, therapy response and relapse, transcriptional circuits, stem cells, differentiation, microenvironment, metabolism, immunity, mutagenesis, and clonal evolution. These subjects are investigated in both animal disease models and high-dimensional clinical data landscapes.
The journal also welcomes submissions on new pharmacological, biological, and living cell therapies, as well as new diagnostic tools. They are interested in prognostic, diagnostic, and pharmacodynamic biomarkers, and computational and machine learning approaches to personalized medicine. The scope of submissions ranges from preclinical proof of concept to clinical trials and real-world evidence.
Blood Cancer Discovery serves as a forum for diverse ideas that shape future research directions in hematooncology. In addition to Research Articles and Briefs, the journal also publishes Reviews, Perspectives, and Commentaries on topics of broad interest in the field.