A simplified frailty scale predicts outcomes in transplant-ineligible patients with newly diagnosed multiple myeloma treated in the FIRST (MM-020) trial

Thierry Facon, Meletios A Dimopoulos, Nathalie Meuleman, Andrew Belch, Mohamad Mohty, Wen-Ming Chen, Kihyun Kim, Elena Zamagni, Paula Rodriguez-Otero, William Renwick, Christian Rose, Adrian Tempescul, Eileen Boyle, Salomon Manier, Michel Attal, Philippe Moreau, Margaret Macro, Xavier Leleu, Marie Lorraine Chretien, Heinz Ludwig, Shien Guo, Michael Sturniolo, Antoine Tinel, Mara Silvia Monzini, Bruno Costa, Vanessa Houck, Cyrille Hulin, Jean Yves Mary, Thierry Facon, Meletios A Dimopoulos, Nathalie Meuleman, Andrew Belch, Mohamad Mohty, Wen-Ming Chen, Kihyun Kim, Elena Zamagni, Paula Rodriguez-Otero, William Renwick, Christian Rose, Adrian Tempescul, Eileen Boyle, Salomon Manier, Michel Attal, Philippe Moreau, Margaret Macro, Xavier Leleu, Marie Lorraine Chretien, Heinz Ludwig, Shien Guo, Michael Sturniolo, Antoine Tinel, Mara Silvia Monzini, Bruno Costa, Vanessa Houck, Cyrille Hulin, Jean Yves Mary

Abstract

Patients with multiple myeloma are generally older and vary in fitness levels, which may influence the clinical benefit of treatment. Patients from the large, phase 3 FIRST trial in newly diagnosed multiple myeloma (NDMM) were retrospectively investigated to determine outcomes based on frailty using scores for age, Charlson Comorbidity Index (CCI), and Eastern Cooperative Oncology Group performance status (ECOG PS), instead of the EQ-5D quality-of-life questionnaire, as previously reported. ECOG PS (n = 1618) was investigated in frailty groups: frail (49%) and nonfrail (51%). Frail patients experienced worse progression-free and overall survival vs nonfrail patients. Prognostic assessment was improved when combining frailty and International Staging System stage (I/II vs III). Frail patients had a higher risk of developing grade 3/4 treatment-emergent adverse events. Treatment effects observed in the FIRST trial were confirmed per frailty group and per frailty and ISS group. The use of this ECOG PS-containing frailty scale as a predictive measure of clinical outcomes in patients with transplant-ineligible NDMM is supported by data from the FIRST trial. This score, based on age, CCI, and ECOG PS, can be easily replicated and may help design future myeloma studies in frail or nonfrail elderly patients.

Conflict of interest statement

TF has received fees for a consulting/advisory role from Amgen, Celgene, Janssen, Karyopharm, PharmaMar, and Takeda; and speakers bureau fees from Amgen, Celgene, Janssen, and Takeda. MAD reports honoraria from Amgen, Novartis, Celgene, Takeda, Genesis Pharmaceuticals, Janssen-Cilag, and Bristol-Myers Squibb; a consulting/advisory role for Amgen, Janssen-Cilag, Takeda, and Celgene; research funding from Janssen-Cilag and Amgen; and travel accommodations from Janssen-Ortho, Genesis Pharmaceuticals, and Amgen. AB, NM, W-MC, KK, CR, SM, MA, XL, MLC, JYM, and SG have nothing to report. MM has received honoraria from Celgene, Janssen, Bristol-Myers Squibb, Takeda, Novartis, and Amgen; fees for a consulting/advisory role from Celgene, Janssen, Bristol-Myers Squibb, Takeda, Novartis, and Amgen; speakers bureau fees from Janssen and Sanofi; research funding from Sanofi; and travel accommodations/expenses from Sanofi, JAZZ, Novartis, Janssen, and Amgen. EZ reports honoraria and speakers bureau fees from Celgene, Janssen, and Amgen. PR-O reports honoraria and speakers bureau fees from Celgene, Janssen, MSD, and Bristol-Myers Squibb. WR reports honoraria from Celgene, travel from Amgen, and speakers bureau fees from Bayer. AT reports export board committee for Gilead. EB has received fees for a consulting/advisory role from Celgene. PM has received honoraria from Celgene, Takeda, Novartis, Amgen, and Janssen-Cilag; and fees for a consulting/advisory role from Celgene, Takeda, Novartis, Amgen, and Janssen. MM reports honoraria from Celgene, Janssen, Takeda, Novartis, and Amgen; a consulting/advisory role for Celgene, Janssen, Takeda, Novartis, and Amgen; and travel accommodations/expenses from Janssen, Celgene, Takeda, and Novartis. HL has received speakers bureau fees from Celgene, Janssen, Takeda, and Amgen; and research funding from Takeda and Amgen. MS, AT, BC, VH, and MSM are employees of and own stock in Celgene. CH has received honoraria from Celgene, Amgen, Bristol-Myers Squibb, Novartis, Janssen-Cilag, and Takeda.

Figures

Fig. 1
Fig. 1
OS by frailty score using either the EQ-5D questionnaire or ECOG performance status. OS Overall Survival, ECOG Eastern Cooperative Oncology Group
Fig. 2
Fig. 2
PFS (a) and OS (b) by frailty group. PFS Progression-free Survival, OS Overall Survival
Fig. 3
Fig. 3
PFS (a) and OS (b) by frailty and ISS group. PFS Progression-Free Survival, OS Overall Survival, ISS International Staging System
Fig. 4
Fig. 4
Time to treatment discontinuation (a) and first hematologic (b) and nonhematologic (c) TEAEs by frailty group. TEAE Treatment-Emergent Adverse Event
Fig. 5
Fig. 5
PFS by treatment group in frail patients (a) and nonfrail patients (b), and OS by treatment group in frail patients (c) and nonfrail patients (d) aP values compare with MPT. PFS Progression-Free Survival, OS Overall Survival, MPT Melphalan + Prednisone + Thalidomide
Fig. 6
Fig. 6
Comparison of Rd continuous vs MPT for PFS (a) using frailty subgroups with and without ISS stage, and comparison of Rd continuous vs MPT for OS (b) using frailty subgroups with and without ISS stage. MPT Melphalan + Prednisone + Thalidomide, PFS Progression-Free Survival, ISS International Staging System, OS Overall Survival

References

    1. Howlader N, Noone AM, Krapcho M, Miller D, Bishop K, Altekruse SF, et al. SEER cancer statistics review, 1975-2013. . Updated September 12, 2016. Accessed Jan 2019.
    1. Kumar SK, Rajkumar SV, Dispenzieri A, Lacy MQ, Hayman SR, Buadi FK, et al. Improved survival in multiple myeloma and the impact of novel therapies. Blood. 2008;111:2516–25. doi: 10.1182/blood-2007-10-116129.
    1. Kumar SK, Dispenzieri A, Lacy MQ, Gertz MA, Buadi FK, Pandey S, et al. Continued improvement in survival in multiple myeloma: changes in early mortality and outcomes in older patients. Leukemia. 2014;28:1122–11. doi: 10.1038/leu.2013.313.
    1. Palumbo A, Bringhen S, Mateos MV, Larocca A, Facon T, Kumar SK, et al. Geriatric assessment predicts survival and toxicities in elderly myeloma: an International Myeloma Working Group report. Blood. 2015;125:2068–20. doi: 10.1182/blood-2014-12-615187.
    1. Blagden SP, Charman SC, Sharples LD, Magee LR, Gilligan D. Performance status score: do patients and their oncologists agree? Br J Cancer. 2003;89:1022–10. doi: 10.1038/sj.bjc.6601231.
    1. Katz S, Downs TD, Cash HR, Grotz RC. Progress in development of the index of ADL. Gerontologist. 1970;10:20–30. doi: 10.1093/geront/10.1_Part_1.20.
    1. Lawton MP, Brody EM. Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist. 1969;9:179–1. doi: 10.1093/geront/9.3_Part_1.179.
    1. National Comprehensive Cancer Network. Clinical practice guidelines in oncology: multiple myeloma. Version 1.2019. . Accessed 7 Jan 2019.
    1. Greipp PR, San Miguel J, Durie BG, Crowley JJ, Barlogie B, Bladé J, et al. International staging system for multiple myeloma. J Clin Oncol. 2005;23:3412–34. doi: 10.1200/JCO.2005.04.242.
    1. Engelhardt M, Dold SM, Ihorst G, Zober A, Moller M, Reinhardt H, et al. Geriatric assessment in multiple myeloma patients: validation of the International Myeloma Working Group (IMWG) score and comparison with other common comorbidity scores. Haematologica. 2016;101:1110–11. doi: 10.3324/haematol.2016.148189.
    1. Milani P, Vincent Rajkumar S, Merlini G, Kumar S, Gertz MA, Palladini G, et al. N-terminal fragment of the type-B natriuretic peptide (NT-proBNP) contributes to a simple new frailty score in patients with newly diagnosed multiple myeloma. Am J Hematol. 2016;91:1129–11. doi: 10.1002/ajh.24532.
    1. Benboubker L, Dimopoulos MA, Dispenzieri A, Catalano J, Belch AR, Cavo M, et al. Lenalidomide and dexamethasone in transplant-ineligible patients with myeloma. N Engl J Med. 2014;371:906–9. doi: 10.1056/NEJMoa1402551.
    1. Facon T, Dimopoulos MA, Dispenzieri A, Catalano JV, Belch A, Cavo M, et al. Final analysis of survival outcomes in the phase 3 FIRST trial of up-front treatment for multiple myeloma. Blood. 2018;131:301–3. doi: 10.1182/blood-2017-07-795047.
    1. Delforge M, Minuk L, Eisenmann JC, Arnulf B, Canepa L, Fragasso A, et al. Health-related quality-of-life in patients with newly diagnosed multiple myeloma in the FIRST trial: lenalidomide plus low-dose dexamethasone versus melphalan, prednisone, thalidomide. Haematologica. 2015;100:826–8. doi: 10.3324/haematol.2014.120121.
    1. Facon T, Hulin C, Dimopoulos MA, Belch A, Meuleman N, Mohty M, et al. A frailty scale predicts outcomes of patients with newly diagnosed multiple myeloma who are ineligible for transplant treated with continuous lenalidomide plus low-dose dexamethasone on the first trial. Blood. 2015;126:4239. doi: 10.1182/blood.V126.23.4239.4239.
    1. van Reenen M, Janssen B EQ-5D-5L user guide. . Published April 2015. Accessed 7 Jan 2019.
    1. Durie BG, Harousseau JL, Miguel JS, Blade J, Barlogie B, Anderson K, et al. International uniform response criteria for multiple myeloma. Leukemia. 2006;20:1467–14. doi: 10.1038/sj.leu.2404284.
    1. Cruz-Jentoft A, Oiartzabal I, Fernández-Lago C, González B, Gironella M, Zudaire MT, et al. Validation of a comprehensive health status assessment scale in older patients (≥ 65 years) with hematological malignancies. GAH study. Eur Geriatr Med. 2013;4:S70. doi: 10.1016/j.eurger.2013.07.230.
    1. Mian HS, Wildes TM, Fiala MA. Development of a Medicare Health Outcomes Survey deficit—accumulation frailty index and its application to older patients with newly diagnosed multiple myeloma. JCO Clin Cancer Inform. 2018. e-pub 25 July 2018; 10.1200/CCI.18.00043.
    1. Repetto L, Fratino L, Audisio RA, Venturino A, Gianni W, Vercelli M, et al. Comprehensive geriatric assessment adds information to Eastern Cooperative Oncology Group performance status in elderly cancer patients: an Italian Group for Geriatric Oncology Study. J Clin Oncol. 2002;20:494–502. doi: 10.1200/JCO.20.2.494.
    1. Schnadig ID, Fromme EK, Loprinzi CL, Sloan JA, Mori M, Li H, et al. Patient-physician disagreement regarding performance status is associated with worse survivorship in patients with advanced cancer. Cancer. 2008;113:2205–22. doi: 10.1002/cncr.23856.
    1. Warsame R, Kumar SK, Gertz MA, Lacy MQ, Buadi FK, Hayman SR, et al. Hematology patient reported symptom screen to assess quality of life for AL amyloidosis. Am J Hematol. 2017;92:435–4. doi: 10.1002/ajh.24676.
    1. Wood WA, Le-Rademacher J, Syrjala KL, Jim H, Jacobsen PB, Knight JM, et al. Patient-reported physical functioning predicts the success of hematopoietic cell transplantation (BMT CTN 0902) Cancer. 2016;122:91–98. doi: 10.1002/cncr.29717.

Source: PubMed

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