Type: Oral
Session: 906. Outcomes Research: Lymphoid Malignancies Excluding Plasma Cell Disorders: Learning from the Real World: Predictors of Outcomes in Understudied Lymphomas and Underrepresented Populations
Hematology Disease Topics & Pathways:
Research, Adult, Epidemiology, Lymphomas, Clinical Research, Health outcomes research, B Cell lymphoma, Genomics, Diseases, Lymphoid Malignancies, Biological Processes, Study Population, Human
Methods: We screened 10,330 individuals (40 years or older with no prior history of hematologic cancers) for MBL with highly sensitive flow cytometry, in the Mayo Clinic Biobank, with patients recruited from primary care-based clinics. Individuals were genotyped by Regeneron Genetics. Logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI). Among those individuals residing in the 27 counties surrounding Rochester, Minnesota, we identified incident hematologic malignancies and melanomas using ICD codes and the Rochester Epidemiology Project, a population based medical records linkage system. All diagnoses were manually reviewed for confirmation. Cox regression was used to calculate hazard ratios (HR) and 95% CIs, adjusted for age and sex.
Results: We identified 1,736 individuals with MBL and 8,341 individuals without MBL. Among those with MBL, 246 (14.2%) had non-CLL-type MBL as the major clone. The median age of non-CLL-type MBL was 77 years (range, 47-95). The prevalence of non-CLL-type MBL significantly increased with age, with 0.5% prevalence among those between 40 to 59 years of age, 2.3% prevalence among those between 60 and 79 years, and 7.8% prevalence in those 80 years of age or older. The prevalence of non-CLL-type MBL was significantly higher (P < .001) among males (3.1%) than females (2.0%).
Using the genome-wide complex trait analysis tool, the heritability of non-CLL-type MBL was estimated to be ~26%, suggesting inherited genetics plays a role in etiology. To identify common inherited variants, we first evaluated the known CLL susceptibility variants, many of which also associated with CLL-type MBL. Among the 42 variants, none were statistically associated (all P > .05) with non-CLL-type MBL. We next conducted a genome-wide association study to identify novel variants, and the most significant variant resided in 10q26.3 (minor allele frequency [MAF]control = 0.7%, MAFMBL = 3.5%, OR = 6.4, 95% CI 3.6-11.3, P = 5.7 * 10-8).
Among the 6,478 individuals (192 with non-CLL-type MBL and 6,286 without MBL) followed for incident hematologic malignancies, 36 developed lymphoid and 23 developed myeloid malignancies after a median of 4.2 years of follow up. Similar to CLL-type MBL, non-CLL-type MBL was associated with a 5.2-fold risk for lymphoid malignancies (95% CI 2.0-13.0, P < .001). Elevated but not significant risks were observed for myeloid malignancies (HR = 2.3, 95% CI 0.5-10.3, P = 0.27). The lymphoid malignancies developed by individuals with non-CLL-type MBL included diffuse large B-cell lymphoma, multiple myeloma, marginal zone lymphoma, and other low-grade lymphomas. We recently reported that individuals with CLL-type MBL are at higher risk for developing melanoma (HR = 1.9, 95% CI 1.3-2.8). Interestingly, non-CLL-type MBL had no evidence of an association with melanoma risk (HR = 0.4, 95% CI 0.1-1.8). We did not observe a significant difference in overall survival between individuals with non-CLL-type MBL vs those without MBL.
Conclusions: In the largest screening cohort to date, we evaluated the etiology and clinical outcomes of non-CLL-type MBL, an understudied yet common condition that occurs in ~4 million adults in the United States. Non-CLL-type MBL is more common in men and older individuals, and evidence supports that inherited genetics plays an etiological role with 10q26.3 locus identified as a novel susceptibility locus. Individuals with non-CLL-type MBL had significantly increased risk of lymphoid malignancies, similar to CLL-type MBL, but, distinct from CLL-type MBL, no evidence of an increased risk of melanoma. Our study provides insights into the prevalence, genetic predispositions and clinical consequences of non-CLL-type MBL and how it differs from the classic CLL-type MBL.
Disclosures: Parikh: AbbVie: Consultancy; Amgen: Consultancy; Pharmacyclics: Consultancy; Novalgen Limited: Consultancy; Merck: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Genentech: Consultancy, Research Funding; MingSight: Consultancy; BeiGene: Consultancy; Kite: Consultancy; AstraZeneca: Consultancy, Research Funding. Cerhan: GenMab: Research Funding; BMS: Research Funding; Protagonist Therapeutics: Other: SMC; Genentech: Research Funding. Kay: AstraZeneca: Membership on an entity's Board of Directors or advisory committees, Other: data safety monitoring committee and advisory board; Bristol Meyer Squibb: Research Funding; Celgene: Research Funding; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; Genentech: Research Funding; Vincerx: Research Funding; Sunesis: Research Funding; Acerta Pharma: Research Funding; Dren Bio: Other: data safety monitoring committee; BMS –Celgene: Other: data safety monitoring committee; Agios Pharma: Other: data safety monitoring committee; Pharmacyclics LLC, an AbbVie Company: Membership on an entity's Board of Directors or advisory committees, Research Funding; Juno Therapeutics: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees, Other: data safety monitoring committee and advisory board; Dava Oncology: Membership on an entity's Board of Directors or advisory committees; Boehringer Ingelheim Pharmaceuticals, Inc.: Membership on an entity's Board of Directors or advisory committees; Behring: Membership on an entity's Board of Directors or advisory committees; BeiGene: Membership on an entity's Board of Directors or advisory committees. Shanafelt: Genentech: Research Funding; AbbVie: Research Funding; Pharmacyclics LLC, an AbbVie company: Research Funding.
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