Abstract
As the treatment landscape continues to evolve towards the application of precision medicine in multiple myeloma (MM), there is a clear need to identify those patients who are at risk of not achieving the maximum benefit whilst exposed to the highest level of toxicity. This group of patients, defined as frail, is an unmet clinical need. However, how we define such a vulnerable group of patients with MM remains to be clarified. An integral aspect of this is to define the physiological age and capacity of patients with MM to deal with the burden of their disease and it’s treatment. Such assessments may include not only functional and clinical assessments but also laboratory-based biomarkers of frailty, aging and senescent cellular burden. A need to develop, test and validate clinical screening scores before their adoption into clinical practice is mandated. This position paper from the European Myeloma Network aims to review what is known about defining frailty in MM, and how we can advance this knowledge for the design of clinical trials and ultimately how we deliver treatment in the clinic.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
References
Pilleron S, Sarfati D, Janssen-Heijnen M, Vignat J, Ferlay J, Bray F, et al. Global cancer incidence in older adults, 2012 and 2035: a population-based study. Int J Cancer. 2019;144:49–58.
Palumbo A, Bringhen S, Ludwig H, Dimopoulos MA, Bladé J, Mateos MV, et al. Personalized therapy in multiple myeloma according to patient age and vulnerability: a report of the European Myeloma Network (EMN). Blood. 2011;118:4519–29.
Cowan AJ, Allen C, Barac A, Basaleem H, Bensenor I, Curado MP, et al. Global burden of multiple myeloma: a systematic analysis for the global burden of disease study 2016. JAMA Oncol. 2018;4:1221–7.
Mellqvist U-H. New prognostic tools for myeloma. Blood. 2015;125:2014–5.
Bringhen S, Mateos MV, Zweegman S, Larocca A, Falcone AP, Oriol A, et al. Age and organ damage correlate with poor survival in myeloma patients: meta-analysis of 1435 individual patient data from 4 randomized trials. Haematologica. 2013;98:980–7.
Kint N, Delforge M. Concise review—treatment of multiple myeloma in the very elderly: how do novel agents fit in? J Geriatr Oncol. 2016;7:383–9.
Pawlyn C, Cairns D, Kaiser M, Striha A, Jones J, Shah V, et al. The relative importance of factors predicting outcome for myeloma patients at different ages: results from 3894 patients in the Myeloma XI trial. Leukemia. 2020;34:604–12.
Walter LC, Covinsky KE. Cancer screening in elderly patients: a framework for individualized decision making. JAMA. 2001;285:2750–6.
Zweegman S, Larocca A. Frailty in multiple myeloma: the need for harmony to prevent doing harm. Lancet Haematol. 2019;6:e117–e118.
Mateos M-V, Spencer A, Nooka AK, Pour L, Weisel K, Cavo M, et al. Daratumumab-based regimens are highly effective and well tolerated in relapsed or refractory multiple myeloma regardless of patient age: subgroup analysis of the phase 3 CASTOR and POLLUX studies. Haematologica. 2020;105:468–77.
Pulte D, Jansen L, Castro FA, Emrich K, Katalinic A, Holleczek B, et al. Trends in survival of multiple myeloma patients in Germany and the United States in the first decade of the 21st century. Br J Haematol. 2015;171:189–96.
Delforge M, Minuk L, Eisenmann J-C, 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;100:826–33.
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;371:906–17.
Facon T, Dimopoulos MA, Meuleman N, Belch A, Mohty M, Chen W-M, et al. A simplified frailty scale predicts outcomes in transplant-ineligible patients with newly diagnosed multiple myeloma treated in the FIRST (MM-020) trial. Leukemia. 2020;34:224–33.
Stege CAM, van der Holt B, Dinmohamed AG, Sonneveld P, Levin M-D, van de Donk NWCJ, et al. Validation of the FIRST simplified frailty scale using the ECOG performance status instead of patient-reported activities. Leukemia. 2020. https://doi.org/10.1038/s41375-020-0713-4.
Palumbo A, Avet-Loiseau H, Oliva S, Lokhorst HM, Goldschmidt H, Rosinol L, et al. Revised international staging system for multiple myeloma: a report from international myeloma working group. J Clin Oncol. 2015;33:2863–9.
Facon T, Anderson K. Treatment approach for the older, unfit patient with myeloma from diagnosis to relapse: perspectives of a European hematologist. Hematology Am Soc Hematol Educ Program. 2018;2018:83–87.
Fried LP, Hadley EC, Walston JD, Newman AB, Newman A, Guralnik JM, et al. From bedside to bench: research agenda for frailty. Sci Aging Knowledge Environ. 2005;2005:pe24.
Collard RM, Boter H, Schoevers RA, Oude Voshaar RC. Prevalence of frailty in community-dwelling older persons: a systematic review. J Am Geriatr Soc. 2012;60:1487–92.
Engelhardt M, Domm A-S, Dold SM, Ihorst G, Reinhardt H, Zober A, et al. A concise revised Myeloma Comorbidity Index as a valid prognostic instrument in a large cohort of 801 multiple myeloma patients. Haematologica. 2017;102:910–21.
Fried LP, Tangen CM, Walston J, Newman AB, Hirsch C, Gottdiener J, et al. Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci. 2001;56:M146–156.
Rockwood K, Mitnitski A. Frailty in relation to the accumulation of deficits. J Gerontol A Biol Sci Med Sci. 2007;62:722–7.
Cruz-Jentoft AJ, Bahat G, Bauer J, Boirie Y, Bruyère O, Cederholm T, et al. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing. 2019;48:601.
Cesari M. The frailty phenotype and sarcopenia: similar but not the same. Aging Med (Milton). 2019;2:97–98.
Mohile SG, Dale W, Somerfield MR, Schonberg MA, Boyd CM, Burhenn PS, et al. Practical assessment and management of vulnerabilities in older patients receiving chemotherapy: ASCO guideline for geriatric oncology. J Clin Oncol. 2018;36:2326–47.
Kuroda J, Shimura Y, Ohta K, Tanaka H, Shibayama H, Kosugi S, et al. Limited value of the international staging system for predicting long-term outcome of transplant-ineligible, newly diagnosed, symptomatic multiple myeloma in the era of novel agents. Int J Hematol. 2014;99:441–9.
Wildes TM, Campagnaro E. Management of multiple myeloma in older adults: gaining ground with geriatric assessment. J Geriatr Oncol. 2017;8:1–7.
Wildes TM, Tuchman SA, Klepin HD, Mikhael J, Trinkaus K, Stockerl-Goldstein K, et al. Geriatric assessment in older adults with multiple myeloma. J Am Geriatr Soc. 2019;67:987–91.
Palumbo A, Bringhen S, Mateos M-V, Larocca A, Facon T, Kumar SK, et al. Geriatric assessment predicts survival and toxicities in elderly myeloma patients: an International Myeloma Working Group report. Blood. 2015;125:2068–74.
Kojima G. Quick and simple FRAIL scale predicts incident activities of daily living (ADL) and instrumental ADL (IADL) disabilities: a systematic review and meta-analysis. J Am Med Dir Assoc. 2018;19:1063–8.
Mina R, Bringhen S, Wildes TM, Zweegman S, Rosko AE. Approach to the older adult with multiple myeloma. Am Soc Clin Oncol Educ Book. 2019;39:500–18.
Salazar AS, Recinos LM, Mian HS, Stoll C, Simon LE, Sekhon S, et al. Geriatric assessment and frailty scores predict mortality in myeloma: systematic review and meta-analysis. Clin Lymphoma Myeloma Leuk. 2019;19:488–496.e6.
Engelhardt M, Dold SM, Ihorst G, Zober A, Möller 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;101:1110–9.
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;91:1129–34.
Dold SM, Möller M-D, Ihorst G, Langer C, Pönisch W, Mügge L-O et al. Validation of the revised myeloma comorbidity index and other comorbidity scores in a multicenter German study group multiple myeloma trial. Haematologica. 2020. https://doi.org/10.3324/haematol.2020.254235.
Offidani M, Corvatta L, Polloni C, Centurioni R, Visani G, Brunori M, et al. Assessment of vulnerability measures and their effect on survival in a real-life population of multiple myeloma patients registered at Marche Region Multiple Myeloma Registry. Clin Lymphoma Myeloma Leuk. 2012;12:423–32.
Cook G, Royle K-L, Pawlyn C, Hockaday A, Shah V, Kaiser MF, et al. A clinical prediction model for outcome and therapy delivery in transplant-ineligible patients with myeloma (UK Myeloma Research Alliance Risk Profile): a development and validation study. Lancet Haematol. 2019;6:e154–e166.
Redder L, Klausen TW, Vangsted AJ, Gregersen H, Andersen NF, Pedersen RS, et al. Validation of a new clinical prediction model for outcome in newly diagnosed multiple myeloma patients not eligible for autologous stem-cell transplantation; a population-based study from the danish national multiple myeloma registry. Blood. 2019;134:1849–1849.
Barnwell-Ménard J-L, Li Q, Cohen AA. Effects of categorization method, regression type, and variable distribution on the inflation of Type-I error rate when categorizing a confounding variable. Stat Med. 2015;34:936–49.
Giri S, Williams G, Rosko A, Grant SJ, Mian HS, Tuchman S, et al. Simplified frailty assessment tools: are we really capturing frailty or something else? Leukemia. 2020. https://doi.org/10.1038/s41375-020-0712-5.
Razjouyan J, Naik AD, Horstman MJ, Kunik ME, Amirmazaheri M, Zhou H, et al. Wearable sensors and the assessment of frailty among vulnerable older adults: an observational cohort study. Sensors (Basel). 2018;18. https://doi.org/10.3390/s18051336.
Engelhardt M, Ihorst G, Duque-Afonso J, Wedding U, Spät-Schwalbe E, Goede V, et al. Structured assessment of frailty in multiple myeloma as a paradigm of individualized treatment algorithms in cancer patients at advanced age. Haematologica. 2020;105:1183–8.
Sorror ML, Maris MB, Storb R, Baron F, Sandmaier BM, Maloney DG, et al. Hematopoietic cell transplantation (HCT)-specific comorbidity index: a new tool for risk assessment before allogeneic HCT. Blood. 2005;106:2912–9.
Isaacs A, Fiala M, Tuchman S, Wildes TM. A comparison of three different approaches to defining frailty in older patients with multiple myeloma. J Geriatr Oncol. 2020;11:311–5.
Mian H, Brouwers M, Kouroukis CT, Wildes TM. Comparison of frailty scores in newly diagnosed patients with multiple myeloma: a review. J Frailty Aging. 2019;8:215–21.
Guerard EJ, Deal AM, Chang Y, Williams GR, Nyrop KA, Pergolotti M, et al. Frailty index developed from a cancer-specific geriatric assessment and the association with mortality among older adults with cancer. J Natl Compr Canc Netw. 2017;15:894–902.
Campisi J, Kapahi P, Lithgow GJ, Melov S, Newman JC, Verdin E. From discoveries in ageing research to therapeutics for healthy ageing. Nature. 2019;571:183–92.
Saedi AA, Feehan J, Phu S, Duque G. Current and emerging biomarkers of frailty in the elderly. Clin Interv Aging. 2019;14:389–98.
Muscedere J, Kim PM, Afilalo J, Balion C, Baracos VE, Bowdish D, et al. Proceedings of the Canadian frailty network workshop: identifying biomarkers of frailty to support frailty risk assessment, diagnosis and prognosis. Toronto, January 15, 2018. J Frailty Aging. 2019;8:106–16.
Oldenhuis CNaM, Oosting SF, Gietema JA, de Vries EGE. Prognostic versus predictive value of biomarkers in oncology. Eur J Cancer. 2008;44:946–53.
Picca A, Calvani R. Biomarkers of frailty: moving the field forward. Exp Gerontol. 2020;133:110868.
Hayflick L, Moorhead PS. The serial cultivation of human diploid cell strains. Exp Cell Res. 1961;25:585–621.
Coppé J-P, Patil CK, Rodier F, Sun Y, Muñoz DP, Goldstein J, et al. Senescence-associated secretory phenotypes reveal cell-nonautonomous functions of oncogenic RAS and the p53 tumor suppressor. PLoS Biol. 2008;6:2853–68.
Matjusaitis M, Chin G, Sarnoski EA, Stolzing A. Biomarkers to identify and isolate senescent cells. Ageing Res Rev. 2016;29:1–12.
Zhou J, Wang J, Shen Y, Yang Y, Huang P, Chen S, et al. The association between telomere length and frailty: a systematic review and meta-analysis. Exp Gerontol. 2018;106:16–20.
Franceschi C, Zaikin A, Gordleeva S, Ivanchenko M, Bonifazi F, Storci G, et al. Inflammaging 2018: an update and a model. Semin Immunol. 2018;40:1–5.
Fulop T, Larbi A, Dupuis G, Le Page A, Frost EH, Cohen AA, et al. Immunosenescence and inflamm-aging as two sides of the same coin: friends or foes? Front Immunol. 2017;8:1960.
Franceschi C, Bonafè M, Valensin S, Olivieri F, De Luca M, Ottaviani E, et al. Inflamm-aging. An evolutionary perspective on immunosenescence. Ann NY Acad Sci. 2000;908:244–54.
Vatic M, von Haehling S, Ebner N. Inflammatory biomarkers of frailty. Exp Gerontol. 2020;133:110858.
Fulop T, McElhaney J, Pawelec G, Cohen AA, Morais JA, Dupuis G, et al. Frailty, inflammation and immunosenescence. Interdiscip Top Gerontol Geriatr. 2015;41:26–40.
McElhaney JE, Zhou X, Talbot HK, Soethout E, Bleackley RC, Granville DJ, et al. The unmet need in the elderly: how immunosenescence, CMV infection, co-morbidities and frailty are a challenge for the development of more effective influenza vaccines. Vaccine. 2012;30:2060–7.
Cruz-Jentoft AJ, Sayer AA. Sarcopenia. Lancet. 2019;393:2636–46.
Zakaria HM, Llaniguez JT, Telemi E, Chuang M, Abouelleil M, Wilkinson B, et al. Sarcopenia predicts overall survival in patients with lung, breast, prostate, or myeloma spine metastases undergoing stereotactic body radiation therapy (sbrt), independent of histology. Neurosurgery. 2020;86:705–16.
Codari M, Zanardo M, di Sabato ME, Nocerino E, Messina C, Sconfienza LM, et al. MRI-derived biomarkers related to sarcopenia: a systematic review. J Magn Reson Imaging. 2020;51:1117–27.
Khan AI, Reiter DA, Sekhar A, Sharma P, Safdar NM, Patil DH, et al. MRI quantitation of abdominal skeletal muscle correlates with CT-based analysis: implications for sarcopenia measurement. Appl Physiol Nutr Metab. 2019;44:814–9.
Cawthon PM, Orwoll ES, Peters KE, Ensrud KE, Cauley JA, Kado DM, et al. Strong relation between muscle mass determined by D3-creatine dilution, physical performance, and incidence of falls and mobility limitations in a prospective cohort of older men. J Gerontol A Biol Sci Med Sci. 2019;74:844–52.
Stege CAM, Nasserinejad K, Levin M-D, Klein SK, Waal E, de, Eeltink C, et al. Geriatric impairments and low muscle mass are associated with treatment discontinuation and overall survival in newly diagnosed non-transplant eligible multiple myeloma patients (nte-NDMM) treated with dose-adjusted melphalan-prednisone-bortezomib (MPV)—results of the Dutch HOVON 123 study. Blood. 2018;132:1889–1889.
Chew J, Tay L, Lim JP, Leung BP, Yeo A, Yew S, et al. Serum myostatin and IGF-1 as gender-specific biomarkers of frailty and low muscle mass in community-dwelling older adults. J Nutr Health Aging. 2019;23:979–86.
Shah JJ, Abonour R, Gasparetto C, Hardin JW, Toomey K, Narang M, 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.e2.
Gregersen H, Vangsted AJ, Abildgaard N, Andersen NF, Pedersen RS, Frølund UC, et al. The impact of comorbidity on mortality in multiple myeloma: a Danish nationwide population-based study. Cancer Med. 2017;6:1807–16.
Valdiglesias V, Sánchez-Flores M, Marcos-Pérez D, Lorenzo-López L, Maseda A, Millán-Calenti JC, et al. Exploring genetic outcomes as frailty biomarkers. J Gerontol A Biol Sci Med Sci. 2019;74:168–75.
Woo J, Tang NLS, Suen E, Leung JCS, Leung PC. Telomeres and frailty. Mech Ageing Dev. 2008;129:642–8.
Nagasawa M, Takami Y, Akasaka H, Kabayama M, Maeda S, Yokoyama S, et al. High plasma adiponectin levels are associated with frailty in a general old-old population: The Septuagenarians, Octogenarians, Nonagenarians Investigation with Centenarians study. Geriatr Gerontol Int. 2018;18:839–46.
Tsai J-S, Wu C-H, Chen S-C, Huang K-C, Chen C-Y, Chang C-I, et al. Plasma adiponectin levels correlate positively with an increasing number of components of frailty in male elders. PLoS ONE. 2013;8:e56250.
Kurz DJ, Decary S, Hong Y, Erusalimsky JD. Senescence-associated (beta)-galactosidase reflects an increase in lysosomal mass during replicative ageing of human endothelial cells. J Cell Sci. 2000;113(Pt 20):3613–22.
Gunawardene P, Al Saedi A, Singh L, Bermeo S, Vogrin S, Phu S, et al. Age, gender, and percentage of circulating osteoprogenitor (COP) cells: the COP study. Exp Gerontol. 2017;96:68–72.
Yin M-J, Xiong Y-Z, Xu X-J, Huang L-F, Zhang Y, Wang X-J, et al. Tfh cell subset biomarkers and inflammatory markers are associated with frailty status and frailty subtypes in the community-dwelling older population: a cross-sectional study. Aging (Albany NY). 2020;12:2952–73.
Duggal NA, Pollock RD, Lazarus NR, Harridge S, Lord JM. Major features of immunesenescence, including reduced thymic output, are ameliorated by high levels of physical activity in adulthood. Aging Cell. 2018;17. https://doi.org/10.1111/acel.12750.
Hekmatimoghaddam S, Dehghani Firoozabadi A, Zare-Khormizi MR, Pourrajab F. Sirt1 and Parp1 as epigenome safeguards and microRNAs as SASP-associated signals, in cellular senescence and aging. Ageing Res Rev. 2017;40:120–41.
Portal D, Hofstetter L, Eshed I, Dan-Lantsman C, Sella T, Urban D, et al. L3 skeletal muscle index (L3SMI) is a surrogate marker of sarcopenia and frailty in non-small cell lung cancer patients. Cancer Manag Res. 2019;11:2579–88.
Kwak JY, Hwang H, Kim S-K, Choi JY, Lee S-M, Bang H, et al. Prediction of sarcopenia using a combination of multiple serum biomarkers. Sci Rep. 2018;8:8574.
Boreskie KF, Oldfield CJ, Hay JL, Moffatt TL, Hiebert BM, Arora RC, et al. Myokines as biomarkers of frailty and cardiovascular disease risk in females. Exp Gerontol. 2020;133:110859.
Waldschmidt JM, Keller A, Ihorst G, Grishina O, Müller S, Wider D, et al. Safety and efficacy of vorinostat, bortezomib, doxorubicin and dexamethasone in a phase I/II study for relapsed or refractory multiple myeloma (VERUMM study: vorinostat in elderly, relapsed and unfit multiple myeloma). Haematologica. 2018;103:e473–e479.
Larocca A, Salvini M, De Paoli L, Cascavilla N, Benevolo G, Galli M, et al. Efficacy and feasibility of dose/schedule-adjusted Rd-R vs. continuous Rd in elderly and intermediate-fit newly diagnosed multiple myeloma (NDMM) patients: RV-MM-PI-0752 phase III randomized study. Blood. 2018;132:305–305.
Author information
Authors and Affiliations
Contributions
GC, AL, SZ, TF and ME designed the manuscript content and GC wrote the first draft. GC, AL, SZ, TF and ME edited and produced the final draft for submission.
Corresponding author
Ethics declarations
Conflict of interest
GC—Honoraria: Amgen, Bristol-Myers Squibb, Celgene, Janssen, Sanofi, Karyopharm and GSK; Research funding: Celgene, Janssen, Takeda. AL—Honoraria: Amgen, Bristol-Myers Squibb, Celgene, Janssen and GSK; Advisory Board: Bristol-Myers Squibb, Celgene, Janssen, Takeda. SZ—Advisory board: Celgene, Janssen, Takeda, Sanofi, Oncopeptides; Research support: Celgene, Janssen, Takeda. TF and ME—no relevant conflicts.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Cook, G., Larocca, A., Facon, T. et al. Defining the vulnerable patient with myeloma—a frailty position paper of the European Myeloma Network. Leukemia 34, 2285–2294 (2020). https://doi.org/10.1038/s41375-020-0918-6
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41375-020-0918-6
This article is cited by
-
Myosteatosis in multiple myeloma: a key determinant of survival beyond sarcopenia
Skeletal Radiology (2024)
-
The prevalence and outcomes of frail older adults in clinical trials in multiple myeloma: A systematic review
Blood Cancer Journal (2023)
-
Dynamic frailty risk assessment among older adults with multiple myeloma: A population-based cohort study
Blood Cancer Journal (2023)
-
Multiple myeloma, a quintessential malignant disease of aging: a geroscience perspective on pathogenesis and treatment
GeroScience (2023)
-
Immune senescence in multiple myeloma—a role for mitochondrial dysfunction?
Leukemia (2022)