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Elderly Acute Myeloid Leukemia: Assessing Risk

  • Acute Myeloid Leukemias (R Stone, Section Editor)
  • Published:
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Abstract

Treatment of older adults with acute myeloid leukemia (AML) is challenging in part due to the difficulty of accurately predicting risks and benefits of available therapies. While older patients represent the majority of those with newly diagnosed disease, there remains no consensus regarding optimal therapy. Older age is associated with increased risk of treatment-related toxicity and worse survival compared to younger adults. Age-related outcome disparity in the setting of AML therapy is clearly attributed in part to differences in tumor biology conferring resistance to therapy. However, physiologic changes of aging that decrease treatment tolerance also influence outcomes and vary among patients of the same chronologic age. Measurable patient characteristics such as comorbidity and physical function can reflect the heterogeneity of physiologic aging among older patients and help predict resilience during and after the stress of diagnosis and treatment. To improve outcomes for older adults with AML, it will be critical to investigate the predictive utility of patient characteristics in parallel with tumor biology to improve decision-making, inform trial design, and identify actionable targets for supportive care interventions. This review will focus on available data addressing risk assessment for older adults treated for AML with a focus on patient characteristics that may reflect vulnerability to poor treatment tolerance.

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References

  1. SEER Cancer Statistics Review 1975–2009. http://seer.cancer.gov/publications/ [Internet]. 2012. Available from: http://seer.cancer.gov/publications/.

  2. Appelbaum FR, Gundacker H, Head DR, Slovak ML, Willman CL, Godwin JE, et al. Age and acute myeloid leukemia. Blood. 2006;107(9):3481–5.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  3. Kantarjian H, O’brien S, Cortes J, Giles F, Faderl S, Jabbour E, et al. Results of intensive chemotherapy in 998 patients age 65 years or older with acute myeloid leukemia or high-risk myelodysplastic syndrome: predictive prognostic models for outcome. Cancer. 2006;106(5):1090–8.

    Article  PubMed  Google Scholar 

  4. Lowenberg B, Zittoun R, Kerkhofs H, Jehn U, Abels J, Debusscher L, et al. On the value of intensive remission-induction chemotherapy in elderly patients of 65+ years with acute myeloid leukemia: a randomized phase III study of the European Organization for Research and Treatment of Cancer Leukemia Group. J Clin Oncol. 1989;7(9):1268–74.

    CAS  PubMed  Google Scholar 

  5. Juliusson G. Most 70- to 79-year-old patients with acute myeloid leukemia do benefit from intensive treatment. Blood. 2011;117(12):3473–4.

    Article  CAS  PubMed  Google Scholar 

  6. Kantarjian H, Ravandi F, O’brien S, Cortes J, Faderl S, Garcia-Manero G, et al. Intensive chemotherapy does not benefit most older patients (age 70 years or older) with acute myeloid leukemia. Blood. 2010;116:4422–9.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  7. Oran B, Weisdorf DJ. Survival for older patients with acute myeloid leukemia: a population-based study. Haematologica. 2012;97(12):1916–24.

    Article  PubMed Central  PubMed  Google Scholar 

  8. Juliusson G, Antunovic P, Derolf A, Lehmann S, Mollgard L, Stockelberg D, et al. Age and acute myeloid leukemia: real world data on decision to treat and outcomes from the Swedish Acute Leukemia Registry. Blood. 2009;113(18):4179–87.

    Article  CAS  PubMed  Google Scholar 

  9. Wetzler M, Mrozek K, Kohlschmidt J, Dombret H, Dohner H, Pilorge S, et al. Intensive induction is effective in selected octogenarian acute myeloid leukemia patients: prognostic significance of karyotype and selected molecular markers used in the European LeukemiaNet classification. Haematologica. 2014;99(2):308–13.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  10. Juliusson G, Lazarevic V, Horstedt AS, Hagberg O, Hoglund M. Acute myeloid leukemia in the real world: why population-based registries are needed. Blood. 2012;119(17):3890–9.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  11. Burnett AK, Russell NH, Hills RK, Kell J, Freeman S, Kjeldsen L, et al. Addition of gemtuzumab ozogamicin to induction chemotherapy improves survival in older patients with acute myeloid leukemia. J Clin Oncol. 2012;30(32):3924–31.

    Article  CAS  PubMed  Google Scholar 

  12. Castaigne S, Pautas C, Terre C, Raffoux E, Bordessoule D, Bastie JN, et al. Effect of gemtuzumab ozogamicin on survival of adult patients with de-novo acute myeloid leukaemia (ALFA-0701): a randomised, open-label, phase 3 study. Lancet. 2012;379(9825):1508–16.

    Article  CAS  PubMed  Google Scholar 

  13. Thein MS, Ershler WB, Jemal A, Yates JW, Baer MR. Outcome of older patients with acute myeloid leukemia: an analysis of SEER data over 3 decades. Cancer. 2013;119(15):2720–7.

    Article  PubMed  Google Scholar 

  14. Shah A, Andersson TM, Rachet B, Bjorkholm M, Lambert PC. Survival and cure of acute myeloid leukaemia in England, 1971–2006: a population-based study. Br J Haematol. 2013;162(4):509–16.

    Article  PubMed  Google Scholar 

  15. Alibhai SM, Leach M, Kermalli H, Gupta V, Kowgier ME, Tomlinson GA, et al. The impact of acute myeloid leukemia and its treatment on quality of life and functional status in older adults. Crit Rev Oncol Hematol. 2007;64(1):19–30.

    Article  PubMed  Google Scholar 

  16. Mohamedali H, Breunis H, Timilshina N, Brandwein JM, Gupta V, Minden MD, et al. Older age is associated with similar quality of life and physical function compared to younger age during intensive chemotherapy for acute myeloid leukemia. Leuk Res. 2012;36(10):1241–8.

    Article  CAS  PubMed  Google Scholar 

  17. Wedding U, Rohrig B, Klippstein A, Fricke HJ, Sayer HG, Hoffken K. Impairment in functional status and survival in patients with acute myeloid leukaemia. J Cancer Res Clin Oncol. 2006;132:665–71.

    Article  PubMed  Google Scholar 

  18. Deschler B, Ihorst G, Platzbecker U, Germing U, Marz E, de Figuerido M, et al. Parameters detected by geriatric and quality of life assessment in 195 older patients with myelodysplastic syndromes and acute myeloid leukemia are highly predictive for outcome. Haematologica. 2013;98(2):208–16.

    Article  PubMed Central  PubMed  Google Scholar 

  19. Sherman AE, Motyckova G, Fega KR, Deangelo DJ, Abel GA, Steensma D, et al. Geriatric assessment in older patients with acute myeloid leukemia: a retrospective study of associated treatment and outcomes. Leuk Res. 2013;37(9):998–1003.

    Article  PubMed Central  PubMed  Google Scholar 

  20. Klepin HD, Geiger AM, Tooze JA, Kritchevsky SB, Williamson JD, Ellis LR, et al. The feasibility of inpatient geriatric assessment for older adults receiving induction chemotherapy for acute myelogenous leukemia. J Am Geriatr Soc. 2011;59(10):1837–46.

    Article  PubMed Central  PubMed  Google Scholar 

  21. Guralnik JM, Ferrucci L, Pieper CF, Leveille SG, Markides KS, Ostir GV, et al. Lower extremity function and subsequent disability: consistency across studies, predictive models, and value of gait speed alone compared with the short physical performance battery. J Gerontol A Biol Sci Med Sci. 2000;55(4):M221–M31.

    Article  CAS  PubMed  Google Scholar 

  22. Guralnik JM, Ferrucci L, Simonsick EM, Salive ME, Wallace RB. Lower-extremity function in persons over the age of 70 years as a predictor of subsequent disability. N Eng J Med. 1995;332(9):556–61.

    Article  CAS  Google Scholar 

  23. Guralnik JM, Simonsick EM, Ferrucci L, Glynn RJ, Berkman LF, Blazer DG, et al. A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. J Gerontol. 1994;49(2):M85–94.

    Article  CAS  PubMed  Google Scholar 

  24. Djunic I, Virijevic M, Novkovic A, Djurasinovic V, Colovic N, Vidovic A, et al. Comorbidity as a risk factor for overall survival and decision criteria for intensity of chemotherapy in elderly patients with acute myeloid leukemia. Med Oncol. 2011.

  25. Etienne A, Esterni B, Charbonnier A, Mozziconacci MJ, Arnoulet C, Coso D, et al. Comorbidity is an independent predictor of complete remission in elderly patients receiving induction chemotherapy for acute myeloid leukemia. Cancer. 2007;109(7):1376–83.

    Article  PubMed  Google Scholar 

  26. Giles FJ, Borthakur G, Ravandi F, Faderl S, Verstovsek S, Thomas D, et al. The haematopoietic cell transplantation comorbidity index score is predictive of early death and survival in patients over 60 years of age receiving induction therapy for acute myeloid leukaemia. Br J Haematol. 2007;136(4):624–7.

    Article  PubMed  Google Scholar 

  27. Klepin HD, Geiger AM, Tooze JA, Kritchevsky SB, Williamson JD, Pardee TS, et al. Geriatric assessment predicts survival for older adults receiving induction chemotherapy for acute myelogenous leukemia. Blood. 2013;121(21):4287–94.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  28. Charlson M, Szatrowski TP, Peterson J, Gold J. Validation of a combined comorbidity index. J Clin Epidemiol. 1994;47(11):1245–51.

    Article  CAS  PubMed  Google Scholar 

  29. 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(8):2912–9.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  30. Breccia M, Frustaci AM, Cannella L, Stefanizzi C, Latagliata R, Cartoni C, et al. Comorbidities and FLT3-ITD abnormalities as independent prognostic indicators of survival in elderly acute myeloid leukaemia patients. Hematol Oncol. 2009.

  31. Savic A, Kvrgic V, Rajic N, Urosevic I, Kovacevic D, Percic I, et al. The hematopoietic cell transplantation comorbidity index is a predictor of early death and survival in adult acute myeloid leukemia patients. Leuk Res. 2011.

  32. Harb AJ, Tan W, Wilding GE, Ford L, Sait SN, Block AW, et al. Treating octogenarian and nonagenarian acute myeloid leukemia patients—predictive prognostic models. Cancer. 2009;115(11):2472–81.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  33. Ostgard LS, Norgaard JM, Sengelov H, Severinsen M, Friis LS, Marcher CW, et al. Comorbidity and performance status in acute myeloid leukemia patients: a nation-wide population-based cohort study. Leukemia. 2014.

  34. Malfuson JV, Etienne A, Turlure P, de Revel T, Thomas X, Contentin N, et al. Risk factors and decision criteria for intensive chemotherapy in older patients with acute myeloid leukemia. Haematologica. 2008;93(12):1806–13.

    Article  CAS  PubMed  Google Scholar 

  35. Meyers CA, Albitar M, Estey E. Cognitive impairment, fatigue, and cytokine levels in patients with acute myelogenous leukemia or myelodysplastic syndrome. Cancer. 2005;104(4):788–93.

    Article  CAS  PubMed  Google Scholar 

  36. Balducci L, Goetz-Parten D, Steinman MA. Polypharmacy and the management of the older cancer patient. Ann Oncol Off J Eur Soc Med Oncol. 2013;24 Suppl 7:vii36–40.

    Google Scholar 

  37. Flood KL, Carroll MB, Le CV, Brown CJ. Polypharmacy in hospitalized older adult cancer patients: experience from a prospective, observational study of an oncology-acute care for elders unit. Am J Geriatr Pharmacother. 2009;7(3):151–8.

    Article  PubMed  Google Scholar 

  38. Maggiore RJ, Gross CP, Hurria A. Polypharmacy in older adults with cancer. Oncologist. 2010;15(5):507–22.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  39. Prithviraj GK, Koroukian S, Margevicius S, Berger NA, Bagai R, Owusu C. Patient characteristics associated with polypharmacy and inappropriate prescribing of medications among older adults with cancer. J Geriatr Oncol. 2012;3(3):228–37.

    Article  PubMed Central  PubMed  Google Scholar 

  40. Puts MT, Costa-Lima B, Monette J, Girre V, Wolfson C, Batist G, et al. Medication problems in older, newly diagnosed cancer patients in Canada: how common are they? A prospective pilot study. Drugs Aging. 2009;26(6):519–36.

    Article  PubMed  Google Scholar 

  41. Elliot K, Tooze JA, Geller R, Powell BL, Pardee TS, Ritchie E, et al. The prognostic importance of polypharmacy in older adults treated for acute myelogenous leukemia (AML). Leuk Res. 2014;38(10):1184–90.

    Article  PubMed  Google Scholar 

  42. Extermann M, Boler I, Reich RR, Lyman GH, Brown RH, Defelice J, et al. Predicting the risk of chemotherapy toxicity in older patients: the Chemotherapy Risk Assessment Scale for High-Age Patients (CRASH) score. Cancer. 2011;118(31):3377–86.

    PubMed  Google Scholar 

  43. Hurria A, Togawa K, Mohile SG, Owusu C, Klepin HD, Gross CP, et al. Predicting chemotherapy toxicity in older adults with cancer: a prospective multicenter study. J Clin Oncol. 2011;29(25):3457–65.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  44. Soubeyran P, Fonck M, Blanc-Bisson C, Blanc JF, Ceccaldi J, Mertens C, et al. Predictors of early death risk in older patients treated with first-line chemotherapy for cancer. J Clin Oncol. 2012;30(15):1829–34.

    Article  PubMed  Google Scholar 

  45. Berrou J, Fougeray S, Venot M, Chardiny V, Gautier JF, Dulphy N, et al. Natural killer cell function, an important target for infection and tumor protection, is impaired in type 2 diabetes. PLoS One. 2013;8(4):e62418.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  46. Reeve BB, Mitchell SA, Dueck AC, Basch E, Cella D, Reilly CM, et al. Recommended patient-reported core set of symptoms to measure in adult cancer treatment trials. J Nat Can Inst. 2014;106(7).

  47. Jim HS, Phillips KM, Chait S, Faul LA, Popa MA, Lee YH, et al. Meta-analysis of cognitive functioning in breast cancer survivors previously treated with standard-dose chemotherapy. J Clin Oncol. 2012;30(29):3578–87.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  48. Klepin H, Ritchie K, Sanford B, Marcucci G, Weiqiang Z, Geyer S, et al. Feasibility of geriatric assessment for older adults with acute myeloid leukemia (AML) receiving intensive chemotherapy on a cooperative group trail: CALGB 361006 (Alliance). Chicago: 2014 ASCO Annual Meeting; McCormick Place; 2014.

    Google Scholar 

  49. Studenski S, Perera S, Patel K, Rosano C, Faulkner K, Inzitari M, et al. Gait speed and survival in older adults. JAMA. 2011;305(1):50–8.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  50. Studenski S, Perera S, Wallace D, Chandler JM, Duncan PW, Rooney E, et al. Physical performance measures in the clinical setting. J Am Geriatr Soc. 2003;51(3):314–22.

    Article  PubMed  Google Scholar 

  51. Hurria A, Cirrincione CT, Muss HB, Kornblith AB, Barry W, Artz AS, et al. Implementing a geriatric assessment in cooperative group clinical cancer trials: CALGB 360401. J Clin Oncol. 2011;29(10):1290–6.

    Article  PubMed Central  PubMed  Google Scholar 

  52. Kawas C, Karagiozis H, Resau L, Corrada M, Brookmeyer R. Reliability of the blessed telephone information-memory-concentration test. J Geriatr Psychiatry Neurol. 1995;8(4):238–42.

    Article  CAS  PubMed  Google Scholar 

  53. Alibhai SM, O’Neill S, Fisher-Schlombs K, Breunis H, Brandwein JM, Timilshina N, et al. A clinical trial of supervised exercise for adult inpatients with acute myeloid leukemia (AML) undergoing induction chemotherapy. Leuk Res. 2012;36(10):1255–61.

    Article  PubMed Central  PubMed  Google Scholar 

  54. Klepin HD, Danhauer SC, Tooze JA, Stott K, Daley K, Vishnevsky T, et al. Exercise for older adult inpatients with acute myelogenous leukemia: a pilot study. J Geriatr Oncol. 2011;2(1):11–7.

    Article  PubMed Central  PubMed  Google Scholar 

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Dr. Heidi Klepin declares no potential conflicts of interest.

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This article does not contain any studies with human or animal subjects performed by any of the authors.

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Correspondence to Heidi D. Klepin.

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This article is part of the Topical Collection on Acute Myeloid Leukemias

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Klepin, H.D. Elderly Acute Myeloid Leukemia: Assessing Risk. Curr Hematol Malig Rep 10, 118–125 (2015). https://doi.org/10.1007/s11899-015-0257-2

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