Connect MM Registry as a national reference for United States multiple myeloma patients

Sikander Ailawadhi, Sundar Jagannath, Mohit Narang, Robert M Rifkin, Howard R Terebelo, Kathleen Toomey, Brian G M Durie, James W Hardin, Cristina J Gasparetto, Lynne Wagner, James L Omel, Vivek Kumar, Lihua Yue, Amani Kitali, Amit Agarwal, Rafat Abonour, Connect MM Registry Investigators, Sikander Ailawadhi, Sundar Jagannath, Mohit Narang, Robert M Rifkin, Howard R Terebelo, Kathleen Toomey, Brian G M Durie, James W Hardin, Cristina J Gasparetto, Lynne Wagner, James L Omel, Vivek Kumar, Lihua Yue, Amani Kitali, Amit Agarwal, Rafat Abonour, Connect MM Registry Investigators

Abstract

Background: The Surveillance, Epidemiology, and End Results (SEER) database and National Cancer Database (NCDB) show improved overall survival (OS) in patients with multiple myeloma (MM) over the last 15 years. This analysis evaluated the validity of the largely community-based Connect MM Registry as a national reference for MM.

Methods: Baseline disease characteristics and survival in US newly diagnosed MM patients were examined using the Connect MM Registry as well as SEER and NCDB databases. Baseline characteristics predictive of longer survival in Connect MM were also identified.

Results: As of February 2017, 3011 patients were enrolled in the Connect MM Registry; 2912 were treated. Median age at time of MM diagnosis and age range were numerically similar from 2010 to 2015 across all 3 registries; SEER had a higher representation of nonwhite racial groups than that in the other 2 registries. OS rates suggest proportionate improvement with year of diagnosis among the 3 registries. A Cox proportional hazards model suggests that younger age (<65 years) is associated with longer survival (vs ≥75; HR, 0.39; 95% confidence interval, 0.34-0.46) in the Connect MM Registry. However, sex (HR, 0.91; P = .15) and race (black vs white; HR, 0.88; P = .21) were not associated with longer OS.

Conclusions: Data from the Connect MM Registry appear to be largely representative of national trends, comprehensive, and reliable representations of the national MM population. Baseline characteristics were comparable, and survival similarly improved over time among the 3 registries. CLINICALTRIALS.

Gov, identifier: NCT01081028.

Keywords: multiple myeloma; registries; survival.

Conflict of interest statement

Sikander Ailawadhi provided consultancy services to Takeda, Novartis, Celgene, and Amgen; he received research funding from Pharmacyclics. Sundar Jagannath provided consultancy services to Celgene, Bristol‐Myers Squibb, Novartis, and Merck; he participated in speakers’ bureaus for MMRF and Medicom. Mohit Narang provided consultancy services and participated in speakers’ bureaus for Celgene; he participated in speakers’ bureaus for Janssen. Robert M. Rifkin provided consultancy services to Amgen, Boehringer Ingelheim, Celgene, EMD Serono, Sandoz, and Takeda; he owns stock with McKesson. Howard R. Terebelo provided consultancy services to Celgene; he participated in speakers’ bureaus for Janssen, Takeda, and Pharmacyclics LLC, an AbbVie Company. Kathleen Toomey provided consultancy services to Celgene, participated in speakers’ bureaus for Myriad Genetics, and received travel reimbursement from Dava Oncology. Brian GM Durie provided consultancy services to Takeda and Janssen. James W. Hardin provided consultancy services to Celgene. Cristina J. Gasparetto received honoraria from Janssen, Bristol‐Myers Squibb, Celgene, and Takeda, provided consultancy services to Janssen, Bristol‐Myers Squibb, and Celgene; she received travel reimbursement from Janssen, Bristol‐Myers Squibb, and Celgene, and received research funding from Celgene. Lynne Wagner provided consultancy services to EveryFit, Gilead, and Janssen. James L. Omel received honoraria from Takeda Oncology and Celgene; he is on the board of directors/advisory committee for Takeda Oncology and Celgene. Vivek Kumar has no conflicts of interest to disclose. Lihua Yue, Amani Kitali, and Amit Agarwal are employed by Celgene. Rafat Abonour is a member of steering committees for Celgene and Takeda, has received research funding from Celgene and Takeda, and has received research funding from Prothena.

© 2019 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

Figures

Figure 1
Figure 1
A, Connect MM, SEER‐9, and NCDB sites. B, Connect MM OS by year of enrollment. 2009 and 2010 data were combined. OS was adjusted for the following covariates: age group, sex, and race. MM indicates multiple myeloma; NCDB, National Cancer Database; OS, overall survival; SEER, Surveillance, Epidemiology, and End Results; US, United States.

References

    1. Maiese EM, Evans KA, Chu BC, Irwin DE. Temporal trends in survival and healthcare costs in patients with multiple myeloma in the United States. Am Health Drug Benefits. 2018;11:39‐46.
    1. Fonseca R, Abouzaid S, Bonafede M, et al. Trends in overall survival and costs of multiple myeloma, 2000–2014. Leukemia. 2017;31:1915‐1921.
    1. McCarthy PL, Holstein SA, Petrucci MT, et al. Lenalidomide maintenance after autologous stem‐cell transplantation in newly diagnosed multiple myeloma: a meta‐analysis. J Clin Oncol. 2017;35:3279‐3289.
    1. Child JA, Morgan GJ, Davies FE, et al. High‐dose chemotherapy with hematopoietic stem‐cell rescue for multiple myeloma. N Engl J Med. 2003;348:1875‐1883.
    1. Durie BG, Hoering A, Abidi MH, et al. Bortezomib with lenalidomide and dexamethasone versus lenalidomide and dexamethasone alone in patients with newly diagnosed myeloma without intent for immediate autologous stem‐cell transplant (SWOG S0777): a randomised, open‐label, phase 3 trial. Lancet. 2017;389:519‐527.
    1. Kumar SK, Dispenzieri A, Lacy MQ, et al. Continued improvement in survival in multiple myeloma: changes in early mortality and outcomes in older patients. Leukemia. 2014;28:1122‐1128.
    1. Gasparetto C, Rifkin RM, Terebelo HR, et al. Predictors of long‐term survival in newly diagnosed multiple myeloma (NDMM) patients (pts) enrolled in the Connect MM registry. J Clin Oncol. 2018;36:8037‐8037.
    1. Shah JJ, Abonour R, Gasparetto C, et al. Analysis of common eligibility criteria of randomized controlled trials in newly diagnosed multiple myeloma patients and extrapolating outcomes. Clin Lymphoma Myeloma Leuk. 2017;17(575–583):e572.
    1. Boffa DJ, Rosen JE, Mallin K, et al. Using the National Cancer Database for outcomes research: a review. JAMA Oncol. 2017;3:1722‐1728.
    1. National Cancer Institute DoCCaPS . Surveillance Epidemiology, and End Results (SEER). Accessed September 14, 2018.
    1. Bergsagel PL. Where we were, where we are, where we are going: progress in multiple myeloma. Am Soc Clin Oncol Educ Book. 2014:199‐203.
    1. American College of Surgeons . National Cancer Database. Accessed July 19, 2018.
    1. Ravindran A, Bartley AC, Holton SJ, et al. Prevalence, incidence and survival of smoldering multiple myeloma in the United States. Blood Cancer J. 2016;6:e486.
    1. Rifkin RM, Abonour R, Terebelo H, et al. Connect MM registry: the importance of establishing baseline disease characteristics. Clin Lymphoma Myeloma Leuk. 2015;15:368‐376.
    1. Jagannath S, Abonour R, Durie B, et al. Heterogeneity of second‐line treatment for patients with multiple myeloma in the connect MM registry (2010–2016). Clin Lymphoma Myeloma Leuk. 2018;18:480‐485.e3.
    1. Terebelo H, Srinivasan S, Narang M, et al. Recognition of early mortality in multiple myeloma by a prediction matrix. Am J Hematol. 2017;92:915‐923.
    1. Terebelo HR, Abonour R, Gasparetto CJ, et al. Development of a prognostic model for overall survival in multiple myeloma using the Connect® MM patient registry. Br J Haematol.. 2019. [Epub ahead of print]. 10.1111/bjh.16139
    1. Kyle RA, Rajkumar SV. Criteria for diagnosis, staging, risk stratification and response assessment of multiple myeloma. Leukemia. 2009;23:3‐9.
    1. Noone A, Krapcho M, Miller D, et al (eds). SEER Cancer Statistics Review, 1975–2015. Bethesda, MD: National Cancer Institute; , based on November 2017 SEER data submission, posted to the SEER web site, April 2018.
    1. Zhang X, Loberiza FR, Klein JP, Zhang MJ. A SAS macro for estimation of direct adjusted survival curves based on a stratified Cox regression model. Comput Methods Programs Biomed. 2007;88:95‐101.
    1. SEER Cancer Stat Facts: Myeloma. Bethesda MD: National Cancer Institute;
    1. Abonour R, Wagner L, Durie B, et al. Impact of post‐transplantation maintenance therapy on health‐related quality of life in patients with multiple myeloma: data from the Connect(R) MM Registry. Ann Hematol. 2018;97:2425‐2436.
    1. Rifkin RM, Jagannath S, Durie B, et al. Treatment outcomes and health care resource utilization in patients with newly diagnosed multiple myeloma receiving lenalidomide‐only maintenance, any maintenance, or no maintenance: results from the connect MM registry. Clin Ther. 2018;40(1193–1202):e1191.
    1. Jagannath S, Abonour R, Durie B, et al. Impact of post‐ASCT maintenance therapy on outcomes in patients with newly diagnosed multiple myeloma in Connect MM. Blood Adv. 2018;2:1608‐1615.
    1. Rifkin RM, Abonour R, Shah JJ, et al. Connect MM(R) ‐ the Multiple Myeloma Disease Registry: incidence of second primary malignancies in patients treated with lenalidomide. Leuk Lymphoma. 2016;57:2228‐2231.

Source: PubMed

3
Sottoscrivi