8014 Background: t(11;14) is a standard risk cytogenetic marker in MM. Methods: We reviewed 366 patients with MM who had t(11;14) by FISH and 732 age and period-matched controls without t(11;14), seen at our institution from 2004 to 2014 and outcomes were analyzed using time to first progression or death (PFS1) and overall survival (OS). Results: For the t(11;14) group at diagnosis, the median age was 63.7 yr (range, 22.1-95.4) with 64.5% of patients being male. Eighty nine (24.3%) patients were above 70 yr of age at diagnosis. 33.8%, 40.3% and 25.9% patients belonged to ISS 1, II and III stages respectively. 13% patients had elevated LDH. Monosomy 17 or del 17p were identified in 10.6% patients. The median follow up period was 56.9 months (m) (95% CI: 54.6-62.2) and 209 (57.1%) patients were alive at last follow-up. Among patients receiving proteasome inhibitor (PI)-based, immunomodulator (IMiD)-based, PI+IMiD based or other agent based induction therapy, 71.2%, 70.3%, 90.4% and 37.5% patients respectively attained ≥PR as best response to induction (p < 0.01). During their course, 223 (60.9%) patients underwent stem cell transplant. Median PFS1 and OS were 23.1 (CI: 20.8-27.9) and 78.6 (CI: 66.7-105.9) m respectively. Among the controls, high risk cytogenetics (HRC) was present in 142 (19.4%), and the median OS was 83.8 m (CI: 70.8-97.0) being comparable to t(11;14) group (p = 0.8). For all 1098 patients, using a Cox-proportional hazards model with age > 70 years, induction therapy (novel agent-based vs others), cytogenetics [HRC vs t(11;14) without HRC vs no HRC or t(11;14)], and ISS stage III vs II/I as predictors, age > 70 years [HR-2.2 (CI: 1.8-2.8) and p < 0.01], ISS III vs ISS II/I [HR-1.4 (CI: 1.1-1.8) and p < 0.01] and HRC [HR of 2.1 (CI: 1.6-2.8) vs no HRC or t(11;14) (p < 0.01) and 1.9 (CI = 1.4-2.6) for t(11;14) without HRC (p < 0.01)were associated with reduced OS. The risk for reduced OS did not differ between t(11;14) without HRC, and those without t(11;14) or HRC [HR-1.1 (CI: 0.9-1.4), p = 0.4]. Conclusions: Our study characterizes the outcomes of a large cohort of MM patients with t(11;14) at diagnosis. Advanced age, HRC and advanced stage at diagnosis were associated with worse OS in our cohort. t(11;14) MM without HRC does not differ in outcome compared to non-t(11;14) MM without HRC.
Exploring the association between renal cell carcinoma (RCC) and myeloid malignancies.
e13073 Background: We observed several patients with a personal history of both RCC and myeloid malignancy, and aimed to explore a possible association, especially given the similarity in their epigenetic landscape, with both being characterized by widespread aberrant hypermethylation (Hu C et al, CCR 2014; Jiang Y et al, Blood 2009). Methods: Mayo Clinic’s ‘Advanced Cohort Explorer’ database was used to identify patients with a history of both RCC and a myeloid malignancy - Acute Myelogenous Leukemia (AML), Myeloproliferative Neoplasms (MPN), Myelodysplastic syndromes (MDS) - and to determine the clinical characteristics. The incidence of MDS in patients ≥65 years with a history of RCC was compared to that in the general population ≥65 years (SEER- Medicare database) as well as the general patient population at Mayo Clinic, using one sample test of proportions. Results: A total of 59 patients were identified, with both biopsy proven RCC and a myeloid malignancy during their life time (12 AML, 9 MPN, 9 low risk MDS and 29 intermediate- high risk MDS). The cohort was characterized by marked male predominance (4.4: 1). Median age at RCC diagnosis was 64 years (range 37-87) and myeloid malignancy was 75 years (range 44-90). 46/59 patients had the RCC antecedent, 10/59 concurrent and 3/59 subsequent to the myeloid malignancy with a median time of myeloid malignancy diagnosis after RCC diagnosis of 7.7 years. For patients ≥65 years, the risk of developing MDS with a history of stage I/II RCC and nephrectomy was 5.26 times that of the general population based on the SEER-Medicare database (Cogle, Blood 2011)(395/100,000 vs 75/100,000; p value < 0.001), and 3.07 times that of the general population at Mayo Clinic (395/100,000 vs 128.4/100,000; p value < 0. 001). Conclusions: We observed an association between RCC and myeloid malignancies, particularly MDS; with a history of RCC conferring a substantially increased risk of developing MDS. We hypothesize that the perturbation of epigenetic landscape in the form of widespread hypermethylation may explain, in part, the association between the two malignancies; and aim to explore the potential aberrancy of epigenetic regulators in our patient cohort with a genomic, epigenomic and transcriptomic analysis.
The impact of novel induction regimens on transplant outcome in newly diagnosed multiple myeloma after controlling for high-risk FISH cytogenetics.