Page 171 - 2020_02-Haematologica-web
P. 171

Comparing front-line therapies in older AML patients
overall survival.11 It should be noted that, despite these survival differences, the SEER registries lacked functional and cytogenetic data, thus limiting applicability of these results. In our analysis, 79.3% of patients had an ECOG performance status of 0 or 1, and only 13.4% of patients had a high CCI of ≥3. The fact that most of our patients had good performance status or low CCI could account for the increased tolerability to induction chemotherapy, therefore conferring an additional survival advantage to treatment compared with supportive care or low-intensity treatment. On the other hand, Juliusson et al. demonstrat- ed in a leukemia registry that even older patients with poor performance status seemed to benefit from chemotherapy compared with best supportive care.20
Although the need for quality of life (QOL) assessments before and after treatment are well recognized in AML, and may represent an important outcome measure, cur- rently, clinical trials mainly focus on quantitative assess- ments of life rather than qualitative. Geriatric assessments in combination with conventional clinical and disease- specific factors can accurately predict vulnerability to treatment toxicity; however, such assessment models spe- cific to AML are lacking.39 Oliva et al. reported a study on elderly AML patients in which QOL physical functioning was of prognostic relevance; however, these results did not correlate with physician-assessed ECOG performance status.40 As shown previously, even hematologic improve- ments from reduction in transfusions can lead to improved
QOL.41,42 Although QOL is an important measure of treat- ment outcomes, our study did not capture such informa- tion, posing a limitation regarding the effects of treatment options on QOL. Therefore, prospective studies regarding whether HMA treatment versus intensive chemotherapy can improve QOL are warranted to assess this vital com- ponent of AML care.
In conclusion, as shown in our analysis of a large patient cohort, patients over the age of 70 years with AML had a significant survival benefit with HMA or high-intensity therapy compared with supportive care or low-intensity therapy. Moreover, patients who were treated with HMA showed a striking survival advantage over those who received traditional high-intensity therapy. Because of the present lack of a clear decision model to allow for compar- ing treatments more objectively, elderly patients with AML may receive suboptimal treatment. The results pre- sented here contribute to an ongoing effort to design a comprehensive decision analysis model comparing treat- ment effectiveness to baseline characteristics in elderly patients with AML.
Funding
This work was supported by National Institutes of Cancer grant 5R01CA168677-02 (PI – Martine Extermann, MD, PhD) and in part by the Biostatistics Core Facility at the Moffitt Cancer Center & Research Institute, a National Cancer Institute-designat- ed Comprehensive Cancer Center (P30CA076292-16).
References
1. Baz R, Rodriguez C, Fu AZ, et al. Impact of remission induction chemotherapy on sur- vival in older adults with acute myeloid leukemia. Cancer. 2007;110(8):1752-1759.
2. Colovic M, Colovic N, Radojkovic M, et al. Induction chemotherapy versus palliative treatment for acute myeloid leukemia in a consecutive cohort of elderly patients. Ann Hematol. 2012;91(9):1363-1370.
3. Lowenberg B, Ossenkoppele GJ, van Putten W, et al. High-dose daunorubicin in older patients with acute myeloid leukemia. N Engl J Med. 2009;361(13):1235-1248.
4. Leith CP, Kopecky KJ, Chen IM, et al. Frequency and clinical significance of the expression of the multidrug resistance pro- teins MDR1/P-glycoprotein, MRP1, and LRP in acute myeloid leukemia: a Southwest Oncology Group Study. Blood. 1999;94(3):1086-1099.
5. Leith CP, Kopecky KJ, Godwin J, et al. Acute myeloid leukemia in the elderly: assessment of multidrug resistance (MDR1) and cytogenetics distinguishes biologic subgroups with remarkably distinct responses to standard chemotherapy. A Southwest Oncology Group study. Blood. 1997;89(9):3323-3329.
6. Gupta V, Chun K, Yi QL, et al. Disease biol- ogy rather than age is the most important determinant of survival of patients > or = 60 years with acute myeloid leukemia treated with uniform intensive therapy. Cancer. 2005;103(10):2082-2090.
7. Breccia M, Frustaci AM, Cannella L, et al. Comorbidities and FLT3-ITD abnormalities as independent prognostic indicators of sur- vival in elderly acute myeloid leukaemia
patients. Hematol Oncol. 2009;27(3):148-
153.
8. Prebet T, Boissel N, Reutenauer S, et al.
Acute myeloid leukemia with translocation (8;21) or inversion (16) in elderly patients treated with conventional chemotherapy: a collaborative study of the French CBF-AML intergroup. J Clin Oncol. 2009;27(28):4747- 4753.
9. Rollig C, Thiede C, Gramatzki M, et al. A novel prognostic model in elderly patients with acute myeloid leukemia: results of 909 patients entered into the prospective AML96 trial. Blood. 2010;116(6):971-978.
10. Vey N, Coso D, Bardou VJ, et al. The bene- fit of induction chemotherapy in patients age > or = 75 years. Cancer. 2004; 101(2):325-331.
11. Oran B, Weisdorf DJ. Survival for older patients with acute myeloid leukemia: a population-based study. Haematologica. 2012;97(12):1916-1924.
12. 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):2720-2727.
13. Medeiros BC, Satram-Hoang S, Hurst D, et al. Big data analysis of treatment patterns and outcomes among elderly acute myeloid leukemia patients in the United States. Ann Hematol. 2015;94(7):1127- 1138.
14. Shah BK, Ghimire KB. Improved survival among older acute myeloid leukemia patients - a population-based study. Acta Oncol. 2014;53(7):935-938.
15. Dombret H, Seymour JF, Butrym A, et al. International phase 3 study of azacitidine vs conventional care regimens in older
patients with newly diagnosed AML with
>30% blasts. Blood. 2015;126(3):291-299. 16. Kantarjian HM, Thomas XG, Dmoszynska A, et al. Multicenter, randomized, open- label, phase III trial of decitabine versus patient choice, with physician advice, of either supportive care or low-dose cytara- bine for the treatment of older patients with newly diagnosed acute myeloid leukemia. J Clin Oncol. 2012;30(21):2670-
2677.
17. Cheson BD. Overview of the revised
response criteria for acute myelogenous leukemia. Clin Adv Hematol Oncol. 2004;2(5):277-279.
18. O'Donnell MR, Tallman MS, Abboud CN, et al. Acute Myeloid Leukemia, Version 3.2017, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw. 2017;15(7):926-957.
19. Fenaux P, Mufti GJ, Hellstrom-Lindberg E, et al. Azacitidine prolongs overall survival compared with conventional care regimens in elderly patients with low bone marrow blast count acute myeloid leukemia. J Clin Oncol. 2010;28(4):562-569.
20. Juliusson G, Antunovic P, Derolf A, et al. Age and acute myeloid leukemia: real world data on decision to treat and out- comes from the Swedish Acute Leukemia Registry. Blood. 2009;113(18):4179-4187.
21. Cashen AF, Schiller GJ, O'Donnell MR, DiPersio JF. Multicenter, phase II study of decitabine for the first-line treatment of older patients with acute myeloid leukemia. J Clin Oncol. 2010;28(4):556-561.
22. Maurillo L, Venditti A, Spagnoli A, et al. Azacitidine for the treatment of patients with acute myeloid leukemia: report of 82 patients enrolled in an Italian
haematologica | 2020; 105(2)
405


































































































   169   170   171   172   173