Literature DB >> 26688093

Relative survival in patients with chronic-phase chronic myeloid leukaemia in the tyrosine-kinase inhibitor era: analysis of patient data from six prospective clinical trials.

Koji Sasaki1, Sara S Strom2, Susan O'Brien3, Elias Jabbour3, Farhad Ravandi3, Marina Konopleva3, Gautam Borthakur3, Naveen Pemmaraju3, Naval Daver3, Preetesh Jain3, Sherry Pierce3, Hagop Kantarjian3, Jorge E Cortes4.   

Abstract

BACKGROUND: Tyrosine-kinase inhibitors improve overall survival in patients with chronic myeloid leukaemia in chronic phase (CML-CP). Survival compared with the general population by age, response, and type of tyrosine-kinase inhibitor is not known. With use of data from trials of tyrosine kinase inhibitors, we compared overall survival in patients with newly diagnosed CML-CP to that of general population.
METHODS: In this cohort analysis, we included data from patients with CML-CP enrolled in six consecutive or parallel prospective clinical trials of tyrosine-kinase inhibitors at a single institution from July 30, 2000, to Sept 17, 2012. We analysed data for response and survival with the Kaplan-Meier method. For estimated overall survival in the general population, we obtained data from national vital statistics reports and matched to patients with CML-CP by age, sex, ethnicity, and year at diagnosis. We assessed numbers and causes of death within 1 year of beginning treatment by age group and by response to therapy. We then did univariate analysis and multivariate analysis to investigate factors associated with survival probability.
FINDINGS: Our analysis included 483 patients, 271 received imatinib, 105 received nilotinib, and 107 received dasatinib. Most patients were younger than 65 years, and no patients were older than 85 years. Median follow-up was 99·4 months (IQR 44·9-121·6), by which time 53 (11%) patients had died. The most common causes of death were progression to advanced disease stage, including complications of stem-cell transplantation (17 [4%] patients), secondary malignancies (nine [2%] patients), and cardiovascular causes (nine [2%] patients). 5-year overall survival in patients with CML-CP decreased in older age categories. For the whole population of patients with CML-CP, 5-year survival was only slightly lower than that of the matched general population (relative survival 94·7% [95% 92·1-97·4]). Individuals of all ages with a report of complete cytogenetic response to treatment or deeper within 1 year had a 5-year survival similar to that of the general population.
INTERPRETATION: In the era of treatment with tyrosine-kinase inhibitors, patients diagnosed with CML-CP can expect a 5-year survival that is only slightly lower than that of the general population. With access to tyrosine-kinase inhibitors, most patients with chronic myeloid leukaemia could enjoy a near normal life expectancy. FUNDING: MD Anderson Cancer Center, National Cancer Institute.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 26688093      PMCID: PMC4884053          DOI: 10.1016/S2352-3026(15)00048-4

Source DB:  PubMed          Journal:  Lancet Haematol        ISSN: 2352-3026            Impact factor:   18.959


Introduction

The prognosis of patients with chronic myeloid leukemia in chronic phase (CML-CP) has dramatically improved after the introduction of tyrosine kinase inhibitors (TKIs).[1-5] The five-year overall survival (OS) with frontline imatinib was 89% at 60 months, and no patient who achieved complete cytogenetic response (CCyR) along with a major molecular response (MMR) at 12 months had progressed to the accelerated phase or blast phase at 60 months.[6] In a recent analysis of the Surveillance, Epidemiology, and End Results (SEER) database, the five-year in the era of imatinib for patients age 15–44 years at the time of diagnosis was 86%, compared to 76% for those age 45–64 years, 51% for patients age 65–74 and 36% for those age 75–84 years.[7] Relative survival describes the impact of a certain disease on survival compared to the survival reported for the overall population reported in population databases regardless of their health status (henceforth referred to as the “general population”).[8] Relative survival is defined as the ratio of survival in a cohort of patients to the expected survival in the general population. In a recent analysis of the SEER data in the US and 11 cancer registries in Germany, the reported 5-year relative survival was 72·7% in the United States and 68·7% in Germany.[9] These reports cover populations managed in a wide range of settings (e.g., academic and private practice, larger and smaller practices, specialized centers and general practices, etc.) but they do not allow an analysis of response to therapy and impact of specific variables in the outcomes obtained. In addition, the high medical cost of TKIs may limit access to these agents and affect outcomes.[10] The purpose of this study was to compare OS in patients with newly diagnosed CML-CP treated with TKIs in a single, specialized institution, with full coverage of TKI through clinical trials, compared to that of general population using relative survival from matched general population estimated survival data.

METHODS

Participants

From May 2000 to January 2012, 483 consecutive patients with newly diagnosed CML-CP were enrolled in six consecutive or parallel prospective clinical trials at a single institution and were included in this analysis. Therapy consisted of imatinib (starting dose of 400 mg or 800 mg daily, alone or with pegylated interferon after six months of imatinib, dasatinib (50 mg orally twice daily or 100 mg orally once daily), or nilotinib (400 mg orally twice daily). All the patients who enrolled in the clinical trials were included in this analysis. Demographic and clinical characteristics of all patients, response to therapy and survival data were analyzed. These trials were registered at www.clinicaltrials.gov as NCT00038649, NCT00048672, NCT00333840, NCT00050531, NCT00254423, and NCT00129740. All protocols were approved by the institutional review board and informed consent was obtained in accordance with the Declaration of Helsinki. Diagnosis of CML in early chronic phase was defined as the presence of Philadelphia chromosome or BCR-ABL1 rearrangement with the presence in the peripheral blood of <15% blasts, <20% basophils, <30% blasts and promyelocytes, and platelets >100 x 10[9]/L, with a time interval from diagnosis to enrollment of 12 months or less. The inclusion criteria were similar for all trials, including age equal to or older than age 16, adequate heart, liver and renal function, and Eastern Cooperative Oncology Group (ECOG) performance status of 0–2. Patients with clonal evolution at the time of diagnosis were eligible for these studies. The patients were divided into groups by age at diagnosis as follows: 15–44 years, 45–64 years, and 65–84 years. The age grouping matched previous publications with SEER database; the age 65–74 and age 75–84 groups were combined for the analysis due to the small number of patients.[7] Response within 1 year start of therapy was analyzed using standard definitions[11]: complete cytogenetic response (CCyR); major molecular response (MMR) (BCR-ABL1 transcript ≤0·1% on the international scale); MR4·5 (BCR-ABL1/ABL1 transcript ≤0·0032% in the international scale); or complete molecular response (CMR; undetectable transcripts with at least 100,000 ABL copies). OS was dated from the start of therapy until death from any cause at any time. Patients who were lost to follow-up were searched through the Social Security Death Index.

Expected Survival in General Population

Expected survival in general population was obtained from US national vital statistics data.[12-22] Each patient with CML was matched to the survival data in general population databases adjusted by age, gender, race, and year of diagnosis. Survival probability for each matched person in the general population was calculated from the life table. Data from life tables in 2009 were used for matched control data in patients diagnosed in 2010 or later. Relative survival rates were calculated from the OS in the study population divided by the estimated OS in the general population. Relative OS rates were further analyzed by treatment and response.

Statistical Method

Chi-square test or Fisher exact test was used to compare categorical variables in patient characteristics. The probability of survival by age group was estimated by the Kaplan-Meier method. A log-rank test was used for univariate comparisons. P values were two-tailed and P values of less than 0·05 were considered statistically significant. A Cox proportional hazards model was used to identify prognostic factors with univariate and multivariate analysis for survival. Response data were analyzed as a separate time-dependent variable for the Cox hazards model. Statistical analysis was performed using Statistical Package for Social Sciences (SPSS) software (version 22, SPSS, Inc, Chicago, IL, USA). One-year landmark analysis was performed for confirmatory purpose. In 1-year landmark analysis, patients who died or were lost to follow-up within 1 year were excluded from the analysis.

Role of the funding source

The funding sources had no role in study design, data collection, data analysis, interpretation, or writing and revision of the manuscript. The corresponding author had full access to all the data reported in the manuscript.

RESULTS

Study Population and Outcomes

Among the 483 patients analyzed, 271 (56%) were treated with imatinib including 70 (14%) treated at a starting dose of 400 mg/day, 43 (9%) at 800 mg/day, and 158 (33%) with imatinib 800mg/day together with pegylated interferon (starting 6 months after the start of imatinib), 105 patients (21%) were treated with nilotinib as frontline therapy, and 107 (22%) with dasatinib. The median follow-up for the total study group was 99·4 months (interquartile range [IQR]; 45–122 months). Median follow-up was longer for patients treated with imatinib (126·3 months; IQR, 102–138 months), compared to those treated with nilotinib (47·8 months; IQR, 29–62 months) or dasatinib (50·4 months; IQR, 24–72 months). The age distribution of the 483 patients was as follows: 15–44 years, 197 patients (41%); 45–64 years, 222 patients (46%); and 65–84 years, 64 patients (13%). No patients older than 85 years and no ethnic minority patients were enrolled in any of the trials. The baseline characteristics are described in Table 1. Caucasian patients were significantly more common in age 65–84 group compared to other age groups (p= 0·028). The median follow-up, distribution by TKI therapy did not differ significantly between age groups. Similarly, the cumulative response rate to TKI within 1 year of start of treatment was comparable between age groups albeit with a trend for a worse response rate in the younger adults as previously reported. As expected, patients in age 65–84 had higher Sokal risk compared to those in age 15–44 and age 45–64 cohorts (p<0·0001). Five-year OS in age 65–84 was 80% compared with 96% and 94% in age 15–44 and age 45–64 (p<0·0001) (Figure 1).
Table 1

Patient characteristics and outcomes by age group

No. (%) or Median (range)P
Age 15–44 [n=197]Age 45–64 [n=222]Age 65–84 [n=64]
Median age, year (range)36 (15·1–44·9)53 (45·1–64·9)70 (65·2–84·8)-
Male, No. (%)125 (63)124 (56)38 (59)0·29
Ethnicity, No. (%)
 Caucasian153 (78)171 (77)62 (97)0·028
 African-American12 (6)16 (7)1 (2)
 Hispanic23 (12)24 (11)1 (2)
 Asian4 (2)9 (4)0
 Other5 (3)2 (1)0
Median follow-up, months (range) [IQR]94 (2–154) [47–120]89 (4–153) [43–122]121 (5–148) [44–128]0·87
Sokal risk score, No. (%)
 Low156 (79)161 (73)18 (28)<0·0001
 Intermediate28 (14)49 (22)39 (61)
 High13 (7)12 (5)7 (11)
Initial TKI, No. (%)
 Imatinib113 (57)116 (52)42 (66)0·32
 Nilotinib42 (21)50 (23)13 (20)
 Dasatinib42 (21)56 (25)9 (14)
Clonal evolution at diagnosis, No. (%)7 (4)7 (3)6 (9)0·077
Diagnosis to treatment, day (range)26 (0–377)28 (1–215)24 (0–122)0·33
Cumulative response to TKI within 1 year, No. (%)
 CCyR165 (84)202 (91)58 (91)0·059
 MMR136 (69)169 (76)44 (69)0·31
 MR4·562 (31)75 (34)25 (39)0·56
 CMR34 (17)40 (18)10 (16)0·91
Overall cumulative response to TKI , No. (%)
 CCyR171 (87)207 (93)59 (92)0·077
 MMR152 (77)183 (82)52 (81)0·44
 MR4·5127 (64)158 (71)47 (73)0·24
 CMR91 (46)124 (56)33 (52)0·16
5-year OS, % (95% CI)96 (93·2–99·2)94 (89·9–97·1)80 (69·5–90·7)<0·0001

Abbreviations: TKI, tyrosine kinase inhibitor; CCyR, complete cytogenetic response; MMR, major molecular response; MR4·5, molecular response with 4·5 log reduction by international scale; CMR, complete molecular response; OS, overall survival; CI, confidence interval; IQR, interquartile range.

Figure 1

Overall survival by age group

Abbreviations: CI, confidence interval; NA, not applicable.

Relative Survival

The five-year and ten-year relative survival for the total cohort of patients with newly diagnosed CML-CP was 94·7% (95% CI; 92·1–97·4) and 88·2% (95% CI; 83·7–92·9), respectively (Table 2). As each patient cohort was matched to equivalent general population groups based on age, gender, race, and calendar year at diagnosis, this resulted in slight difference in survival data from matched general population in each category. Five-year and ten-year relative survival was gradually lower with increasing age. Five-year and ten-year relative survival in the total cohort for patient that achieved best cumulative CCyR was 96·7% (95% CI; 94·2–99·1) and 92·1% (95% CI; 87·4– 96·6), respectively. There was a trend for small improvement in relative survival with deeper cumulative response achieved within 1 year such that 10-year relative survival was 88·2% for those irrespective response status, 92·1% for those patients with CCyR, 94·2% for those achieving MMR, 94·0% for patients with MR4·5, and 97·3% for patients with undetectable transcripts (Figure 2). This effect was noticeable across all age groups (Table 2). There is a trend of improvement in relative survival with deeper response within 1 year in the imatinib and nilotinib groups (Table 2–1). In the dasatinib group, the relative survival remained uniformly favorable irrespective of response (99·6%; 95% CI 96·0% to 102%). Ten-year survival data in dasatinib or nilotinib cohorts were not available due to shorter follow-up. In all cohorts, patients who died during the follow-up after study drug discontinuation were included in the analysis.
Table 2

Relative survival by age and cumulative response within 1 year

GroupNo. at 5y5-y Absolute OS [95% CI]5-y Relative OS [95% CI]5-y OS in GPNo. at 10y10-y Absolute OS [95% CI]10-y Relative OS [95% CI]10-y OS in GP
Age 1584 by cumulative response within 1 year
 All N=48331292·7 [90·1–95·3]94·7 [92·1–97·4]97·812783·5 [79·2–87·9]88·2 [83·7–92·9]94·6
 CCyR N=42528494·5 [92·1–96·9]96·7 [94·2–99·1]97·811587·1 [82·7–91·4]92·1 [87·4–96·6]94·6
 MMR N=34923496·5 [94·4–98·7]98·7 [96·5–100·9]97·89189·0 [84·5–93·7]94·2 [89·3–99·0]94·6
 MR4·5 N=16210595·8 [92·1–99·4]98·1 [94·3–101·7]97·74788·5 [81·9–95·0]94·0 [86·9–100·8]94·2
 CMR N=845398·6 [95·8–100]100·9 [98·1–102·4]97·72191·7 [82·2–100]97·3 [87·3–106·2]94·2
Age 1544 by cumulative response within 1 year
 All N=19613196·2 [93·2–99·2]97·0 [94·0–100·0]99·24890·0 [84·4–95·6]91·7 [86·0–97·5]98·1
 CCyR N=16511799·2 [97·7–100]100·0 [98·5–100·8]99·24295·5 [90·9–100]97·3 [92·7–101·9]98·1
 MMR N=1369599·1 [97·2–100]99·9 [98·0–100·8]99·23496·0 [91·4–100]98·1 [93·4–102·1]97·9
 MR4·5 N=6241100100·999·11997·0 [91·1–100]99·2 [93·1–102·2]97·8
 CMR N=3421100100·999·110100102·197·9
Age 4564 by cumulative response within 1 year
 All N=22214093·5 [89·9–97·1]96·6 [92·9–100·3]96·85887·2 [81·5–92·9]94·4 [88·3–100·7]92·3
 CCyR N=20213095·1 [91·8–98·5]98·2 [94·8–101·8]96·85491·1 [86·0–96·1]98·8 [93·3–104·2]92·2
 MMR N=16911097·4 [94·8–99·9]100·6 [97·9–103·2]96·84393·5 [88·4–98·5]101·3 [95·8–106·7]92·3
 MR4·5 N=754998·2 [94·8–100]101·3 [97·8–103·2]96·92092·8 [84·7–100]100·2 [91·5–108·0]92·6
 CMR N=4024100103·396·87100108·392·3
Age 6584 by cumulative response within 1 year
 All N=634180·1 [69·5–90·7]91·6 [79·5–103·8]87·42159·0 [44·5–73·4]83·6 [63·0–104·0]70·6
 CCyR N=583779·9 [68·7–91·1]91·4 [78·6–104·2]87·41958·4 [43·1–73·8]82·7 [61·0–104·5]70·6
 MMR N=442986·3 [75·1–97·5]100·1 [87·1–113·1]86·21460·5 [42·4–78·7]89·5 [62·7–116·4]67·6
 MR4·5 N=251589·4 [62·5–97·5]101·1 [70·7–110·3]88·4861·7 [38·9–84·5]84·8 [53·4–116·0]72·8
 CMR N=10888·9 [68·4–100]100·3 [77·2–112·9]88·6461·0 [25·6–96·3]83·3 [35·0–131·6]73·2

Abbreviations: OS, overall survival; GP, general population; CI, confidence interval; CCyR, complete cytogenetic response; MMR, major molecular response; MR4·5, molecular response with 4·5 log reduction by international scale; CMR, complete molecular response.

Figure 2

Relative survival in patients with chronic myeloid leukemia by cumulative response within 1 year*

Abbreviations: CCyR, complete cytogenetic response; MMR, major molecular response; MR4·5, molecular response by a 4·5 log reduction on the international scale; CMR, complete molecular response.

*: The figure was intended to show the comparison of survival in each response group to that of general population in one figure.

Table 2-1

Relative survival by tyrosine kinase inhibitor and cumulative response within 1 year

GroupNo.at 5y5-y Absolute OS[95% CI]5-y Relative OS[95% CI]5-y OSin GPNo.at 10y10-y Absolute OS[95% CI]10-y Relative OS[95% CI]10-y OSin GP
All TKI Group
 All N=48331292·7 [90·1–95·3]94·8 [92·1–97·4]97·812783·5 [79·2–87·9]88·3 [83·7–92·9]94·6
 CCyR N=42528494·5 [92·1–96·9]96·6 [94·2–99·1]97·811587·1 [82·7–91·4]92·1 [87·4–96·6]94·6
 MMR N=34923496·5 [94·4–98·7]98·7 [96·5–100·9]97·89189·0 [84·5–93·7]94·1 [89·3–99·0]94·6
 MR4·5 N=16210595·8 [92·1–99·4]98·1 [94·3–101·7]97·74788·5 [81·9–95·0]93·9 [86·9–100·8]94·2
 CMR N=845398·6[95·8–100]100·9[98·1–102·4]97·72191·7 [82·2–100]97·3 [87·3–106·2]94·2
Imatinib Group
 All N=27123992·4 [89·2–95·6]94·5 [91·2–97·8]97·812783·3 [78·5–88·0]88·0 [82·9–92·9]94·7
 CCyR N=22921294·7 [91·8–97·6]96·9 [94·0–99·9]97·711587·4 [82·8––92·0]92·8 [87·9–97·7]94·2
 MMR N=18417697·3 [94·9–99·6]99·5 [97·0–101·8]97·89190·0 [85·2––94·8]95·1 [90·1–100·2]94·6
 MR4·5 N=817897·5 [94·1–100]100·1 [96·6–102·7]97·44789·7 [82·9–96·5]95·6 [88·4–102·9]93·8
 CMR N=3433100102·597·62193·1 [83·7–100]99·0 [89·0–106·4]94·0
Dasatinib Group
 All N=1074097·6 [94·1–100]99·6 [96·0–102]98·00NANA95·1
 CCyR N=993997·4 [93·7–100]99·6 [95·8–102·2]97·80NANA94·7
 MMR N=793098·7 [96·1–100]100·9 [98·3–102·2]97·80NANA94·7
 MR4·5 N=3812100102·197·90NANA94·9
 CMR N=279100102·297·80NANA94·7
Nilotinib Group
 All N=1053387·6 [78·5–96·7]89·6 [80·3–98·9]97·80NANA94·6
 CCyR N=973389·8 [81·0–98·6]91·9 [82·9–100·9]97·70NANA94·3
 MMR N=862890·9 [82·0–99·9]93·0 [83·9–102·2]97·70NANA94·4
 MR4·5 N=431585·6 [70·2–100]87·7 [71·9–102·5]97·60NANA94·1
 CMR N=231194·1 [82.9–100]96·4 [84·9–102·5]97·60NANA94·2

Abbreviations: OS, overall survival; GP, general population; CI, confidence interval; CCyR, complete cytogenetic response; MMR, major molecular response; MR4·5, molecular response with 4·5 log reduction by international scale; CMR, complete molecular response; NA, not applicable.

Cause of Death

Overall, 53 deaths (11%) were observed: 12 (6%) among patients age 15–44 years, 19 (9%) among those age 45–64 years, and 22 (34%) among patients age 65–84 years. The causes of death by age group are shown in Table 3 and Supplemental Table 3–1 to Table 3––3 by age group.
Table 3

Cause of death by cumulative response within 1 year in all age group

All AgeAll N= 483CCyR* N= 425MMR* N=349MR4·5* N=162CMR N=84
Number of death, No. (%)53 (11)36 (8)23 (6)12 (4)3 (1)
 Progression to AP/BP, No. (%)12 (23)4 (11)1 (4)00
 SCT complications, No. (%)5 (9)1 (3)1 (4)00
 Secondary malignancy, No. (%)9 (17)8 (22)5 (22)3 (25)1 (33)
 Cardiovascular events, No. (%)9 (17)9 (25)5 (22)3 (25)0
 Sepsis, No. (%)2 (4)2 (6)1 (4)1 (8)1 (33)
 Dementia, No. (%)2 (4)2 (6)2 (9)1 (8)0
 Surgical complications, No. (%)2 (4)2 (6)2 (9)00
 Car accident, No. (%)2 (4)1 (3)1 (4)00
 Other, No. (%)5 (9)3 (8)2 (9)1 (8)0
 Unknown, No. (%)5 (9)4 (11)3 (13)3 (25)1 (33)
Type of TKI, No. (%)
 Imatinib43 (81)28 (78)17 (74)9 (75)2 (67)
 Dasatinib3 (6)3 (8)2 (9)3 (25)1 (33)
 Nilotinib7 (13)5 (14)4 (17)00
Overall cumulative response, No. (%)
 CCyR38 (72)36 (100)23 (100)12 (100)3 (100)
 MMR28 (53)26 (72)23 (100)12 (100)3 (100)
 MR4·519 (36)18 (50)16 (70)12 (100)3 (100)
 CMR12 (23)11 (31)9 (40)7 (58)3 (100)
Disease status** at the time of death, No. (%)
 CML-AP/BP9 (17)3 (8)1 (4)00
 CML-CP3 (6)3 (8)000
 CHR3 (6)1 (3)000
 CCyR3 (6)2 (6)1 (4)00
 MMR7 (13)7 (19)5 (22)1 (8)1 (33)
 MR4·57 (13)7 (19)7 (30)6 (50)0
 CMR13 (25)8 (22)5 (22)2 (17)1 (33)
 Unknown8 (15)5 (14)4 (17)3 (25)1 (33)

: CCyR includes CCyR or better; MMR includes MMR or better; MR4·5 includes MR4·5 or better.

: Each status represents the best category of response or disease status at the time of death.

Abbreviations: AP, accelerated phase; BP, blast phase; CP, chronic phase; CCyR, complete cytogenetic response; MMR, major molecular response; MR4·5, molecular response by a 4·5 log reduction on the international scale; CMR, complete molecular response; SCT, stem cell transplant; TKI, tyrosine kinase inhibitor; CML, chronic myeloid leukemia.

Of the 12 deaths in the age 15–44 group, eight patients had no CCyR within one year, two had CCyR, and two MR4·5. Among the eight patients without CCyR, three patients died of progression to CML-BP, two of stem cell transplant (SCT) complications after progression, two of unknown reasons and one patient on a car accident. Four of the eight patients without CCyR at one year could not receive dasatinib or nilotinib (not available at the time). Of the 19 deaths in the age 45–64 group, seven patients had no CCyR within one year, five had CCyR, six had MMR and one had MR4·5. Three of the seven patients without CCyR at one year died of progression to CML-BP (two patients could not receive nilotinib or dasatinib – not available at the time-; one patient with clonal evolution at diagnosis received imatinib, dasatinib, bosutinib, ponatinib, and nilotinib), two died of complications of SCT (one for CML-CP after resistance to nilotinib, dasatinib and ponatinib and one for CML-BP after imatinib and dasatinib failure), one patient died in remission of renal cell carcinoma and one patient died of unknown reasons after discontinuation of imatinib due to lack of insurance. Among the five patients with CCyR, two died of progression to CML-BP (one patient could not receive dasatinib or nilotinib). Among the six patients with MMR, one died of metastatic breast cancer, and one of surgical complications after bowel obstructions, and one died of complications of SCT for CML-AP after developing imatinib resistance (dasatinib and nilotinib, not available). One patient in remission who achieved MR4·5 within one year died of acute myeloid leukemia (Philadelphia-chromosome negative). Among the 22 deaths in the age 65–84 group, two patients had no CCyR within one year, eight had achieved CCyR, six had MMR, four MR4·5 and two had achieved CMR. Of the two patients that had not achieved CCyR, one with active CML-CP died of pneumonia and one died of progression to CML-BP. Of the eight patients who had achieved CCyR, one who had clonal evolution at diagnosis and achieved CCyR died of esophageal cancer with active CML-AP, one with active CML-AP died of unknown reasons (refused further therapy), one with active CML-CP (imatinib intolerance) died of a cardiovascular event, and three died in remission (from Parkinson’s disease, metastatic melanoma, and surgical complications after femur fracture, respectively). All six patients that had achieved MMR died in remission including two patients with clonal evolution at diagnosis died of progressive dementia and cardiovascular event, respectively. The four patients that had achieved MR4·5 died in remission (from chronic lymphocytic leukemia, congestive heart failure, myocardial infarction, and unknown reasons, one each). The patient died of congestive heart failure had clonal evolution at diagnosis.

Predictors of Survival

We then performed univariate analysis and multivariate analysis to investigate factors associated with survival probability. Increasing age, presence of clonal evolution at the time of diagnosis, and lack of response were identified as poor prognostic factors for survival (Table 4). For multivariate analysis each response hallmark was used as a separate variable. Multivariate analysis for five-year survival demonstrated age at diagnosis, and lack of response as poor prognostic factors. The TKI used and Sokal risk score were not an independent factor for overall survival probability.
Table 4

Multivariate Cox proportional hazards analysis of overall survival

VariableUnivariateMultivariate Analysis
PPHR95% CI
Age at diagnosis<0·0001<0·00011·0451·026–1·065
Clonal evolution at diagnosis0·0310·0282·8411·121–7·149
Sokal risk Score0·15
Type of TKIs0·45
Time from diagnosis to TKI0·26
Cumulative response with a time dependent variable*
CCyR<0·0001<0·00016·2503·367–11·494
MMR<0·0001<0·00016·5793·745–11·628
MR4·5<0·0001<0·00015·1542·841–9·346
CMR<0·00010·00133·0031·538–5·882

Each variable was compared to the counterpart no response category and calculated for multivariate analysis separately.

Abbreviations: TKI, tyrosine kinase inhibitor; HR, hazard ratio; CI, confidence interval; CCyR, complete cytogenetic response; MMR, major molecular response; MR4·5, molecular response with 4·5 log reduction by international scale; CMR, complete molecular response; OS, overall survival.

One-year Landmark Analysis

Results of one-year land mark analysis showed the similar findings seen in the overall analysis (Table 5; Table 6). In the landmark analysis, the relative survival was 88% for all patients, and 97% for those with CMR (Figure 2).
Table 5

One-year landmark by cumulative response within one year

GroupNo.at 5y5-y Absolute OS[95% CI]5-y Relative OS[95% CI]5-y OSin GPNo.at 10y10-y Absolute OS[95% CI]10-y Relative OS[95% CI]10-y OSin GP
Age 15–84
 All N=46531293·5 [91·0–95·9]95·1 [92·6–97·6]98·312784·2 [79·9–88·6]88·4 [83·9–93·1]95·2
 CCyR N=41328495·2 [92·8–97·5]97·0 [94·6–99·4]98·111587·7 [83·4–92·0]92·3 [87·8–96·8]95·0
 MMR N=33823497·3 [95·4–99·3]99·1 [97·1–101·1]98·29189·9 [85·3–94·4]94·6 [89·8–99·4]95·0
 MR4·5 N=15910595·8 [92·1–99·4]97·8 [94·0–101·4]98·04788·5 [81·9–95·0]93·5 [86·5–100·3]94·7
 CMR N=815398·6 [95·8–100]100·5 [97·7–101·9]98·12191·7 [82·2–100]96·8 [86·8–105·6]94·7
Age 15–44
 All N=18913196·2 [93·2–99·2]96·9 [93·9–99·9]99·34890·0 [84·4–95·6]91·6 [85·9–97·4]98·2
 CCyR N=16011799·2 [97·7–100]99·9 [98·4–100·7]99·34295·5 [90·9–100]97·3 [92·6–101·8]98·2
 MMR N=1319599·1 [97·2–100]99·8 [97·9–100·7]99·33496·0 [91·4–100]97·9 [93·2–101·9]98·1
 MR4·5 N=6041100100·799·31997·0 [91·1–100]99·0 [93·0–102·0]98·0
 CMR N=3221100100·799·310100102·197·9
Age 4564
 All N=21414094·4 [90·9–97·8]97·0 [93·4–100·5]97·35888·0 [82·4–93·6]94·7 [88·7–100·8]92·9
 CCyR N=19613096·1 [93·0–99·2]98·8 [95·6–102·0]97·35492·0 [87·0–97·0]99·0 [93·6–104·4]92·9
 MMR N=16411098·5 [96·5–100]101·2 [99·2–102·8]97·34394·6 [89·7–99·4]101·8 [96·6–107·0]92·9
 MR4·5 N=744998·2 [94·8–100]100·7 [97·2–102·6]97·52092·8 [84·7–100]99·5 [90·8–107·2]93·3
 CMR N=3924100102·897·37100107·692·9
Age 6584
 All N=624182·7 [72·4–93·0]92·4 [80·9–103·9]89·52160·9 [46·2–75·5]83·4 [63·6–104·0]72·6
 CCyR N=573781·3 [70·2–92·3]90·8 [78·4–103·1]89·51959·5 [44·0–74·9]82·0 [60·6–103·2]72·6
 MMR N=432988·3 [77·5–99·1]99·7 [87·5–111·9]88.61461·9 [43·6–80·3]88·9 [62·6–115·4]69·6
 MR4·5 N=251580·0 [62·5–97·5]88·5 [69·1–107·9]90·4861·7 [38·9–94·5]82·6 [52·1–126·5]74·7
 CMR N=10888·9 [68·4–100]98·6 [75·8–110·9]90·2461·0 [25·6–96·3]82·3 [34·5–130·0]74·1

Abbreviations: OS, overall survival; GP, general population; CI, confidence interval; CCyR, complete cytogenetic response; MMR, major molecular response; MR4·5, molecular response with 4·5 log reduction by international scale; CMR, complete molecular response.

Table 6

One-year landmark by tyrosine kinase inhibitor and cumulative response within 1 year

GroupNo.at 5y5-y Absolute OS[95% CI]5-y Relative OS[95% CI]5-y OSin GPNo.at 10y10-y Absolute OS[95% CI]10-y Relative OS[95% CI]10-y OSin GP
All TKI Group
 All N=46531293·5 [91·0–95·9]95·1 [92·6–97·6]98·312784·2 [79·9–88·6]88·4 [83·9–93·1]95·2
 CCyR N=41328495·2 [92·8–97·5]97·0 [94·6–99·4]98·111587·7 [83·4––92·0]92·3 [87·8–96·8]95·0
 MMR N=33823497·3 [95·4–99·3]99·1 [97·1–101·1]98·29189·9 [85·3–94·4]94·6 [89·8–99·4]95·0
 MR4·5 N=15910595·8 [92·1–99·4]97·8 [94·0–101·4]98·04788·5 [81·9–95·0]93·5 [86·5–100·3]94·7
 CMR N=815398·6 [95·8–100]100·5 [97·7–101·9]98·12191·7 [82·2–100]96·8 [86·8–105·6]94·7
Imatinib Group
 All N=26623993·1 [90·0–96·2]94·7 [91·6–97·9]98·312783·9 [79·2–88·6]88·1 [83·2–93·1]95·2
 CCyR N=22821295·1 [92·3–97·9]96·9 [94·1–99·8]98·111587·8 [83·2–92·3]92·6 [87·8–97·4]94·8
 MMR N=18317697·8 [95·7–99·9]99·6 [97·5–101·7]98·29190·5 [85·8–95·2]95·3 [90·3–100·2]95·0
 MR4·5 N=817897·5 [94·1–100]99·6 [96·1–102·5]97·94789·7 [82·9–96·5]95·2 [88·0–102·4]94·2
 CMR N=3433100102·098·02193·1 [83·7–100]98·5 [88·6–105·8]94·5
Dasatinib Group
 All N=1014098·5 [95·6–100]100·1 [97·2–101·6]98·40NANA95·4
 CCyR N=943998·4 [95·3–100]100·0 [96·8–101·6]98·40NANA95·4
 MMR N=7530100101·998·10NANA94·7
 MR4·5 N=3712100101·898·20NANA95·1
 CMR N= 269100101·898·20NANA94·9
Nilotinib Group
 All N=983388·5 [79·4–97·5]90·1 [80·9–99·3]98·20NANA95·0
 CCyR N=913390·7 [82·0–99·5]92·5 [83·6–101·4]98·10NANA94·7
 MMR N=802892·0 [83·3–100]93·7 [84·8–101·8]98·20NANA94·8
 MR4·5 N=411585·6 [70·2–100]87·3 [71·6–102·0]98·00NANA94·6
 CMR N=211194·1 [82·9–100]95·9 [84·5–101·9]98·10NANA94·7

Abbreviations: OS, overall survival; GP, general population; CI, confidence interval; CCyR, complete cytogenetic response; MMR, major molecular response; MR4·5, molecular response with 4·5 log reduction by international scale; CMR, complete molecular response; NA, not applicable.

DISCUSSION

In this analysis we have shown that patients with CML treated with TKI have a relative survival similar to that of the general population, particularly if achieving a CCyR or better response by 1 year from the start of therapy. We have previously reported that the natural history of CML has significantly improved over the years based on data from a single institution, with the greatest impact occurring among patients diagnosed approximately after the year 2000 when TKI became a mainstay in the therapeutic arsenal of CML.[23] Similarly, Surveillance, Epidemiology, and End Results (SEER) database analysis showed improved survival after introduction of multiple TKIs.[7] With such improvement in overall survival, the question arises of whether the life expectancy of patients with CML treated with TKI may be reaching the life expectancy of individuals of their same age group in the general population. The analysis presented in this report aims to address this important question. Our analysis suggests that there is still a small but significant gap in relative survival for patients with CML. By five-years, the relative survival is nearly 95% that of the general population. However, by ten years, the gap widens with a relative survival of 88%. Importantly, the ten-year relative survival rates reflect only treatment with imatinib as dasatinib and nilotinib were first introduced as frontline therapy in clinical trials in 2005. It remains to be seen whether the broader use of these agents may narrow the gap in relative survival by 10 years. The biggest difference in relative survival by overall response comes from the cohort of patients age 65 to 84 years at diagnosis, with 5- and 10-year relative survival rates of approximately 92% and 84%. In contrast, younger patients have relative survival rates of 97% and 92–94%, respectively. The survival of CML is greatly impacted by the response to therapy. It is well documented that achieving a CCyR significantly improves the life expectancy of patients, whether this is achieved with interferon therapy or with TKI.[24-26] Indeed, patients achieving CCyR within one year from diagnosis have five- and ten-year relative survival rates of 96·7% and 92·1%. The improvement is clearer in younger patients; those in age 65 to 84 years maintain a shorter relative survival both at five (91·6%) and ten years (83·6%). It has been debated whether deeper responses add survival value compared to achievement of CCyR. In our analysis, for the general cohort, there was only a modest trend for improved relative survival with deeper responses achieved within one year. For example, the 10 year relative survival improves from 92·1% for those achieving CCyR within 1 year, to 95·6% for those achieving undetectable transcript levels within the same time period. This improvement is noticeable within all age groups, including those age 65 to 84 years, whose relative survival is 91·4% if achieving only CCyR, but 100·3% if achieving CMR. With the use of second generation TKIs as initial therapy deeper molecular responses occur earlier and in greater proportions. It is thus possible that the relative survival by ten years will improve as these agents are used more widely. Of note, relative survival greater than 100% was observed in patients with deep response. The finding, although statistically not significant, reflects in part some patient selection because of the eligibility criteria (e.g., good performance status, adequate organ function) to qualify for the studies as well as the close follow-up of these patients throughout their therapy. To understand the gap in relative survival between patients with CML and the general population, we analyzed the causes of death for all patients. The most common cause of death was progression to advanced disease stage which was observed in 17 patients including five deaths due to SCT-related complications. Of note, ten patients did not receive second generation TKIs before progression as these were not widely available in the earlier years of the observation time for the study population. It is highly possible that a second-line TKI could have improved the outcome and possibly the survival for some patients after the front-line imatinib failure. The second common causes of deaths were cardiovascular events and secondary malignancies observed in 9 patients, respectively. There is increased awareness of the risk of cardiovascular events in patients treated with TKIs.[27] Attention to this risk and mitigation strategies need to be addressed to minimize the risk of death from such events. Indeed, cardiovascular events consisted 32% of death in age 65–84 compared to 8% and 5% in age 15–44 and age 45–64, respectively. Second malignancies seen in this study include two patients with esophageal cancer, one with renal cell carcinoma, one with melanoma, one with breast cancer, one with ovarian cancer, one with acute myeloid leukemia, one with chronic lymphocytic leukemia. Whether use of TKIs increase the risk of developing other malignancies is controversial. Verma et al. reported secondary malignancies during TKI therapy in 4·6%.[28] In this analysis, the incidence was not different than the expected in the general population. However, other studies have suggested there might be a higher incidence of second malignancies associated with TKI therapy.[29] Data about the estimated cause of death in the general population used for this analysis is not available to the same detail as we have in the study population. With such registry data it is not possible to match patients further to ensure comparability for the causes of death considering risk factors and individual demographic information. In addition, it is challenging to find a correlation of specific type of TKI to each type of secondary malignancy or risk of cardiovascular events because of the overall small number of deaths. In our analysis, the type of TKI used did not influence the survival probabilities. In addition, Cox proportional hazards analysis with a time dependent variable showed that achieving MMR within 1 year from the start of treatment had the highest hazard ratio, with a tendency for smaller hazard ratios with deeper responses. Of note, none of patients who achieved MR4·5 or better did die directly from CML with the median follow-up of 99 months. There are several limitations in our study. First, this is a single institution cohort of patients enrolled in consecutive prospective clinical trials and the disease assessment and follow-up timing were performed as per protocol. Thus, it is possible that the results are not representative of the general US population. However, we have reported that outcome of patients treated within or outside clinical trials at our institution is equivalent, and that patients characteristics such as median income, education and insurance coverage are similar to those of the general population of the US.[30] We have previously reported that patient education and social status was similar for patients treated with imatinib on protocol (population included in this analysis) or off protocol (not included in this analysis), and comparable to those in the general population of the US. Although it is likely that the same findings would be observed for the nilotinib and dasatinib groups, this information was not available for comparison. Second, patients with significant co-morbidities including heart failure, chronic kidney disease, liver cirrhosis, other active cancers were excluded from clinical trials and thus are not included in this analysis. Patients with common medical diseases such as hypertension, diabetes mellitus, hyperlipidemia, history of myocardial infarction, distant history of cancer could enroll in our study. Third, no patient over age 85 was enrolled in this study and patients at age 65–84 have relatively few. Also, although we have previously reported that patients enrolled on clinical trials of imatinib in our institution appear to be representative of the general population of the United States, information of variables such education status, income, and health insurance coverage was not collected for this analysis. Thus, it is possible that other cohorts have an imbalance in these features or in the proportional representation of minorities. Further studies are needed to clarify the survival benefit in elderly population and ethnic minority patients with CML-CP and the development of less toxic TKI is mandatory for long term use in this population. Finally, our study group had a relatively low incidence of patients with high-risk Sokal score. There is wide variability in the percentage of high-risk Sokal patients in the few population studies that have been reported from approximately 20% to 33%.[31-33] Although it has been suggested that in the US the percentage of patients who present with high-risk Sokal scores is lower, no population studies have been published from the US to confirm this. In fact two recent registries have shown that unfortunately Sokal risk is only being calculated in 10–30% of patients, making broad characterization of patient scores difficult.[34-35] In conclusion, with TKI therapy the OS rates in patients with newly diagnosed CML-CP are only slightly lower to that of general population. However, the OS rates in patients who achieved CCyR or better are similar to that of general population. This emphasizes the need for optimal management of patients with CML at all ages to offer the full benefit provided by these life-transforming therapies.
Table 3-1

Cause of death by cumulative response within 1 year in age 15–44

Age 15–44All N= 197CCyR* N= 165MMR* N=136MR4·5* N=62CMR N=34
Number of death, (%)12 (6)4 (2)3 (2)1 (1)0
 Progression to AP/BP, (%)5 (42)0000
 SCT complications, (%)3 (25)1 (25)1 (33)00
 Cardiovascular events, (%)1 (8)1 (25)000
 Car accident, No. (%)2 (17)1 (25)1 (33)00
 Other, No. (%)1 (8)1 (25)1 (33)1 (100)0
Type of TKI, No. (%)
 Imatinib12 (100)4 (100)3 (100)1 (100)0
 Dasatinib00000
 Nilotinib00000
Overall cumulative response, No. (%)
 CCyR4 (33)4 (100)3 (100)1 (100)0
 MMR3 (25)3 (75)3 (100)1 (100)0
 MR4·52 (17)2 (50)2 (67)1 (100)0
 CMR1 (8)1 (25)1 (33)1 (100)0
Disease status** at the time of death, No. (%)
 CML-AP/BP3 (25)0000
 CHR1 (8)0000
 CCyR1 (8)0000
 MMR1 (8)1 (25)1 (33)00
 MR4·51 (8)1 (25)1 (33)1 (100)0
 CMR3 (25)2 (50)1 (33)00
 Unknown2 (17)0000

CCyR includes CCyR or better; MMR includes MMR or better; MR4·5 includes MR4·5 or better.

Each status represents the best category of response or disease status at the time of death.

Abbreviations: AP, accelerated phase; BP, blast phase; CP, chronic phase; CCyR, complete cytogenetic response; MMR, major molecular response; MR4·5, molecular response by a 4·5 log reduction on the international scale; CMR, complete molecular response; SCT, stem cell transplant; TKI, tyrosine kinase inhibitor; CML, chronic myeloid leukemia.

Table 3-2

Cause of death by cumulative response within 1 year in age 45–64

Age 45–64All N= 222CCyR* N= 202MMR* N=169MR4·5* N=75CMR N=40
Number of death, No. (%)19 (9)12 (6)7 (4)3 (2)0
 Progression to AP/BP, No. (%)5 (26)3 (25)1 (14)00
 SCT complications, No. (%)2 (11)0000
 Secondary malignancy, No. (%)4 (21)3 (25)2 (29)1 (33)0
 Cardiovascular events, No. (%)1 (5)1 (8)1 (14)00
 Sepsis, No. (%)1 (5)1 (8)000
 Dementia, No. (%)1 (5)1 (8)1 (14)1 (33)0
 Surgical complications, No. (%)1 (5)1 (8)1 (14)00
 HCV cirrhosis, No. (%)1 (5)0000
 Unknown, No. (%)3 (16)2 (17)1 (14)1 (33)0
Type of TKI, No. (%)
 Imatinib15 (79)10 (83)6 (86)3 (100)0
 Dasatinib1 (5)1 (8)1 (14)00
 Nilotinib3 (16)1 (8)000
Overall cumulative response, No. (%)
 CCyR14 (74)12 (100)7 (100)3 (100)0
 MMR11 (58)9 (75)7 (100)3 (100)0
 MR4·55 (26)4 (33)3 (43)3 (100)0
 CMR3 (16)2 (17)1 (14)1 (33)0
Disease status** at the time of death, No. (%)
 CML-AP/BP5 (26)3 (25)1 (14)00
 CML-CP1 (5)1 (8)000
 CCyR1 (5)1 (8)1 (14)00
 MMR3 (16)3 (25)2 (29)00
 MR4·52 (11)2 (17)2 (29)2 (67)0
 CMR5 (26)1 (8)000
 Unknown2 (11)1 (8)1 (14)1 (33)0

CCyR includes CCyR or better; MMR includes MMR or better; MR4·5 includes MR4·5 or better.

Each status represents the best category of response or disease status at the time of death.

Abbreviations: AP, accelerated phase; BP, blast phase; CP, chronic phase; CCyR, complete cytogenetic response; MMR, major molecular response; MR4·5, molecular response by a 4·5 log reduction on the international scale; CMR, complete molecular response; SCT, stem cell transplant; TKI, tyrosine kinase inhibitor; CML, chronic myeloid leukemia; HCV, hepatitis C virus.

Table 3-3

Cause of death by cumulative response within 1 year in age 65–84

Age 65–84All N= 64CCyR* N= 58MMR* N=44MR4·5* N=25CMR N=11
Number of death, No. (%)22 (34)20 (34)13 (25)8 (17)3 (9)
 Progression to AP/BP, No. (%)2 (9)1 (5)000
 Secondary malignancy, No. (%)5 (23)5 (25)3 (23)2 (25)1 (33)
 Cardiovascular events, No. (%)7 (32)7 (35)4 (31)3 (6)0
 Sepsis, No. (%)1 (5)1(5)1 (8)1 (13)1 (33)
 Dementia, No. (%)1 (5)1 (5)1 (8)00
 Surgical complications, No. (%)1 (5)1 (5)1 (8)00
 Bowel obstruction, No. (%)1 (5)0000
 Gastrointestinal bleeding, No. (%)1 (5)1 (5)000
 Parkinson disease, No. (%)1 (5)1 (5)1 (8)00
 Unknown, No. (%)2 (9)2 (10)2 (15)2 (25)1 (33)
Type of TKI, No. (%)
 Imatinib16 (73)14 (70)8 (62)5 (63)2 (67)
 Dasatinib2 (9)2 (10)1 (8)00
 Nilotinib4 (18)4 (20)4 (31)3 (38)1 (33)
Overall cumulative response, No. (%)
 CCyR20 (91)20 (100)13 (100)8 (100)3 (100)
 MMR14 (64)14 (70)13 (100)8 (100)3 (100)
 MR4·512 (55)12 (60)11 (85)8 (100)3 (100)
 CMR8 (36)8 (40)7 (54)5 (63)3 (100)
Disease status** at the time of death, No. (%)
 CML-AP/BP1 (5)0000
 CML-CP2 (9)2 (10)000
 CHR2 (9)1 (5)000
 CCyR1 (5)1 (5)000
 MMR3 (14)3 (15)2 (15)1 (13)1 (33)
 MR4·54 (18)4 (20)4 (31)3 (38)0
 CMR5 (23)5 (25)4 (31)2 (25)1 (33)
 Unknown3 (14)4 (20)3 (23)2 (25)1 (33)

CCyR includes CCyR or better; MMR includes MMR or better; MR4·5 includes MR4·5 or better.

Each status represents the best category of response or disease status at the time of death.

Abbreviations: AP, accelerated phase; BP, blast phase; CP, chronic phase; CCyR, complete cytogenetic response; MMR, major molecular response; MR4·5, molecular response by a 4·5 log reduction on the international scale; CMR, complete molecular response; SCT, stem cell transplant; TKI, tyrosine kinase inhibitor; CML, chronic myeloid leukemia.

  26 in total

1.  United States life tables, 2000.

Authors:  Elizabeth Arias
Journal:  Natl Vital Stat Rep       Date:  2002-12-19

2.  United States life tables, 2009.

Authors:  Elizabeth Arias
Journal:  Natl Vital Stat Rep       Date:  2014-01-06

3.  United States life tables, 2008.

Authors:  Elizabeth Arias
Journal:  Natl Vital Stat Rep       Date:  2012-09-24

4.  Trends in all-cause mortality among patients with chronic myeloid leukemia: a Surveillance, Epidemiology, and End Results database analysis.

Authors:  Andrew M Brunner; Federico Campigotto; Hossein Sadrzadeh; Benjamin J Drapkin; Yi-Bin Chen; Donna S Neuberg; Amir T Fathi
Journal:  Cancer       Date:  2013-04-26       Impact factor: 6.860

5.  Cost sharing and adherence to tyrosine kinase inhibitors for patients with chronic myeloid leukemia.

Authors:  Stacie B Dusetzina; Aaron N Winn; Gregory A Abel; Haiden A Huskamp; Nancy L Keating
Journal:  J Clin Oncol       Date:  2013-12-23       Impact factor: 44.544

6.  Similar outcome of patients with chronic myeloid leukemia treated with imatinib in or out of clinical trials.

Authors:  Musa Yilmaz; Hagop Kantarjian; Elias Jabbour; Susan O'Brien; Gautam Borthakur; Srdan Verstovsek; Guillermo Garcia-Manero; Farhad Ravandi; Jan Burger; Sherry Pierce; Alfonso Quintas-Cardama; Jorge Cortes
Journal:  Clin Lymphoma Myeloma Leuk       Date:  2013-09-20

7.  Complete cytogenetic and molecular responses to interferon-alpha-based therapy for chronic myelogenous leukemia are associated with excellent long-term prognosis.

Authors:  Hagop M Kantarjian; Susan O'Brien; Jorge E Cortes; Jianqin Shan; Francis J Giles; Mary Beth Rios; Stefan H Faderl; William G Wierda; Alessandra Ferrajoli; Srdan Verstovsek; Michael J Keating; Emil J Freireich; Moshe Talpaz
Journal:  Cancer       Date:  2003-02-15       Impact factor: 6.860

8.  Tyrosine kinase inhibitor usage, treatment outcome, and prognostic scores in CML: report from the population-based Swedish CML registry.

Authors:  Martin Höglund; Fredrik Sandin; Karin Hellström; Mats Björeman; Magnus Björkholm; Mats Brune; Arta Dreimane; Marja Ekblom; Sören Lehmann; Per Ljungman; Claes Malm; Berit Markevärn; Kristina Myhr-Eriksson; Lotta Ohm; Ulla Olsson-Strömberg; Anders Själander; Hans Wadenvik; Bengt Simonsson; Leif Stenke; Johan Richter
Journal:  Blood       Date:  2013-07-10       Impact factor: 22.113

Review 9.  European LeukemiaNet recommendations for the management of chronic myeloid leukemia: 2013.

Authors:  Michele Baccarani; Michael W Deininger; Gianantonio Rosti; Andreas Hochhaus; Simona Soverini; Jane F Apperley; Francisco Cervantes; Richard E Clark; Jorge E Cortes; François Guilhot; Henrik Hjorth-Hansen; Timothy P Hughes; Hagop M Kantarjian; Dong-Wook Kim; Richard A Larson; Jeffrey H Lipton; François-Xavier Mahon; Giovanni Martinelli; Jiri Mayer; Martin C Müller; Dietger Niederwieser; Fabrizio Pane; Jerald P Radich; Philippe Rousselot; Giuseppe Saglio; Susanne Saußele; Charles Schiffer; Richard Silver; Bengt Simonsson; Juan-Luis Steegmann; John M Goldman; Rüdiger Hehlmann
Journal:  Blood       Date:  2013-06-26       Impact factor: 22.113

10.  Population level survival of patients with chronic myelocytic leukemia in Germany compared to the US in the early 21st century.

Authors:  Dianne Pulte; Benjamin Barnes; Lina Jansen; Nora Eisemann; Katharina Emrich; Adam Gondos; Stefan Hentschel; Bernd Holleczek; Klaus Kraywinkel; Hermann Brenner
Journal:  J Hematol Oncol       Date:  2013-09-16       Impact factor: 17.388

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  77 in total

1.  Anxiety and depression associated with tyrosine kinase inhibitor discontinuation in patients with chronic myeloid leukemia.

Authors:  Rintaro Sogawa; Sakiko Kimura; Ryota Yakabe; Yasuhito Mizokami; Masanobu Tasaki; Naoko Sueoka-Aragane; Yutaka Narisawa; Shinya Kimura
Journal:  Int J Clin Oncol       Date:  2018-04-12       Impact factor: 3.402

Review 2.  The argument for using imatinib in CML.

Authors:  Simone Claudiani; Jane F Apperley
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2018-11-30

3.  Chronic myeloid leukemia: room for improvement?

Authors:  Michele Baccarani; Fabrizio Pane; Gianantonio Rosti; Domenico Russo; Giuseppe Saglio
Journal:  Haematologica       Date:  2017-07       Impact factor: 9.941

4.  Evolving treatment strategies in CML - moving from early and deep molecular responses to TKI discontinuation and treatment-free remission: is there a need for longer-term trial outcomes?

Authors:  Ahmet Emre Eşkazan
Journal:  Br J Clin Pharmacol       Date:  2018-06-03       Impact factor: 4.335

5.  Incidence of second malignancies in patients with chronic myeloid leukemia in the era of tyrosine kinase inhibitors.

Authors:  Koji Sasaki; Hagop M Kantarjian; Susan O'Brien; Farhad Ravandi; Marina Konopleva; Gautam Borthakur; Guillermo Garcia-Manero; William G Wierda; Naval Daver; Alessandra Ferrajoli; Koichi Takahashi; Preetesh Jain; Mary Beth Rios; Sherry A Pierce; Elias J Jabbour; Jorge E Cortes
Journal:  Int J Hematol       Date:  2019-03-04       Impact factor: 2.490

6.  Conditional survival in patients with chronic myeloid leukemia in chronic phase in the era of tyrosine kinase inhibitors.

Authors:  Koji Sasaki; Hagop M Kantarjian; Preetesh Jain; Elias J Jabbour; Farhad Ravandi; Marina Konopleva; Gautam Borthakur; Koichi Takahashi; Naveen Pemmaraju; Naval Daver; Sherry A Pierce; Susan M O'Brien; Jorge E Cortes
Journal:  Cancer       Date:  2015-10-19       Impact factor: 6.860

Review 7.  Current status of ABL tyrosine kinase inhibitors stop studies for chronic myeloid leukemia.

Authors:  Shinya Kimura
Journal:  Stem Cell Investig       Date:  2016-08-09

8.  Phase II trial of homoharringtonine with imatinib in chronic, accelerated, and blast phase chronic myeloid leukemia.

Authors:  Abhishek Maiti; Jorge Cortes; Alessandra Ferrajoli; Zeev Estrov; Gautam Borthakur; Guillermo Garcia-Manero; Elias Jabbour; Farhad Ravandi; Susan O'Brien; Hagop Kantarjian
Journal:  Leuk Lymphoma       Date:  2017-02-09

Review 9.  Treatment-Free Remission in CML: the US Perspective.

Authors:  Guru Subramanian Guru Murthy; Ehab Atallah
Journal:  Curr Hematol Malig Rep       Date:  2019-02       Impact factor: 3.952

Review 10.  Allogeneic transplantation for CML in the TKI era: striking the right balance.

Authors:  Andrew J Innes; Dragana Milojkovic; Jane F Apperley
Journal:  Nat Rev Clin Oncol       Date:  2015-11-17       Impact factor: 66.675

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