Literature DB >> 34984204

A Retrospective Cohort Study of Upfront Nilotinib in Chronic Myeloid Leukemia: A Single-Center Experience.

Reema Singh1, Jyotsna Kapoor1, Rayaz Ahmed1, Pallavi Mehta1, Vishvdeep Khushoo1, Pragya Agrawal1, Dinesh Bhurani1, Narendra Agrawal1.   

Abstract

Context Nilotinib is a second-generation BCR-ABL1 tyrosine kinase inhibitor used in the treatment of chronic myeloid leukemia (CML). Aims We aim to evaluate the responses and safety of upfront Nilotinib therapy in Indian CML patients. Setting and Design We retrospectively reviewed the medical records of CML patients who received Nilotinib as an upfront treatment at our center between January 1, 2011 and October 15, 2019.The follow-up was taken till March 31, 2020. Results Forty One patients ( n = 36 chronic phase and five accelerated-phase CML) received frontline Nilotinib. Median age was 39 years (21-63) with male-to-female ratio of 1.1: 1. At 3 months, 96.9% patients achieved BCR-ABL of ≤10% at international scale. By the end of 12 months, 71.5% patients achieved major molecular response (BCR-ABL ≤0.1%) and 91.4% patients achieved complete cytogenetic response assessed by BCR-ABL polymerase chain reaction of ≤1%. Common toxicities observed were weight gain, thrombocytopenia, corrected QT prolongation, and elevated serum amylase in 14 (34.1%), 7(17.07%), 4(9.7%), and 4(9.7%) patients, respectively. Overall, five patients had loss of response with further progression and death in three patients. At a median of 43.7 months, 38 patients survived with estimated 3 year event-free survival and overall survival of 65 ± 9 and 93 ± 5%. Conclusion This study showed remarkable good response with upfront Nilotinib in Indian patients with CML. MedIntel Services Pvt Ltd. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

Entities:  

Keywords:  Chronic myeloid leukemia; Early molecular response; Major molecular response; Toxicity; Upfront Nilotinib

Year:  2021        PMID: 34984204      PMCID: PMC8719978          DOI: 10.1055/s-0041-1733301

Source DB:  PubMed          Journal:  South Asian J Cancer        ISSN: 2278-330X


Narendra Agrawal

Introduction

BCR-ABL tyrosine kinase inhibitors (TKIs) have become cornerstone in the management of patients with chronic myeloid leukemia (CML). 1 The primary goal of therapy in CML patients should be to prevent progression of the disease as the median survival following progression is poor (≈10.5 months). 2 With wide availability of TKIs, most of CML patients are now able to avoid progression to the blast phase and to lead a near-normal life. 3 Early molecular response (EMR) defined as BCR-ABL transcript of <10% at 3 months or <1% at 6 months of Imatinib therapy has emerged as a powerful tool to predict long-term survival outcome. 4 5 Phase 3 ENESTnd trial of Nilotinib versus Imatinib in patients with newly diagnosed CML in chronic phase (CP) showed faster and higher rates of molecular response and significant reduction of risk of progression to accelerated phase (AP)/blast crisis with Nilotinib with EMR a strong predictor of reduced risk of progression. 2 6 We aim to evaluate the responses and safety of upfront Nilotinib therapy in Indian CML patients.

Subjects and Methods

Study Design and Patient Selection

We retrospectively studied patients with newly diagnosed CML in CP or AP diagnosed based on standard diagnostic criteria, started on upfront Nilotinib therapy from January 1, 2011 to October 15, 2019 and followed them for outcome till March 31, 2020. The patients were identified through the common patient record system at our institute. Patients were stratified by Sokal and ELTS (EUTOS long-term survival) scores at baseline. Patients who received Nilotinib for less than 3 months were excluded from the study. The study was reviewed and approved by the institutional review board of the institute.

Objectives

The primary objective of this study was to evaluate the EMR at 3 months defined as BCR-ABL at international scale (IS) <10% and to correlate it with outcome like major molecular response (MMR) and survival. Other objective was to assess toxicities of therapy according to the Common Terminology Criteria for Adverse Events version 5.0. 7

Survival Outcomes

Overall survival (OS) was defined as the time from start of Nilotinib till death from any reason or last follow-up, and event-free survival (EFS) was defined as the time from start of Nilotinib till the date of event (death, loss of response, progression, no response or withdrawal from study because of toxicity, or financial constraints).

Statistical Analysis

Descriptive statistics (mean, median, range) was used to describe the central tendency and dispersion of baseline characteristics. Time to event analysis included OS, EFS was done using the Kaplan–Meier method and single factor association between time to event endpoints and baseline or outcome variables was done by using the log-rank method. Independent t -test was used to assess the association of continuous variables with molecular response. Chi-square test was used to determine the association of categorical variable with molecular response. All the statistical analysis was performed using Statistical Package for Social Science software (SPSS 21, IBM SPSS Statistics for Windows, version 21.0; IBM Corp., Armonk, New York, United States).

Results

Forty-one patients (CP: n = 36, AP: n = 5) with median age of 39 years (21–63 years) were included in this study as per the inclusion criteria. Twenty-two were males and 19 were females with male-to-female ratio of 1:1.15. Comorbid conditions were present in four patients at the time of presentation. Median duration of therapy, i.e., frontline Nilotinib, is 49.2 months (5.8– 103.6 months). Seven (17%) patients had poor compliance to therapy as per medical records ( Table 1 ).
Table 1

Demographic characteristics of the patients and baseline disease characteristics

CharacteristicsN (%) Median (range)
Abbreviations: ELTS, EUTOS long-term survival; Hb, hemoglobin.
Median age (range), y39 y (21–63 y)
Sex
Male22 (53.7)
Female19 (46.3)
Disease phase
Chronic phase36 (87.8)
Accelerated phase05 (12.2)
Duration of symptoms (in days)52.5 (2–365)
Spleen (bcm), median (range)8 (1–25)
Hb gm/dL, median (range)10.3 (5.9–14.6)
White blood cells (× 10 9 /L), median (range) 176.29 (16.8–407.5)
Platelet count (× 10 9 /L), median (range) 307 (73–758)
Peripheral blood blasts (%), median (range)2 (1–14)
Bone marrow blasts, (%) median (range)2 (0–15)
Basophils (%), median (range)3 (0–28)
Comorbidities4 (9.75)
Risk stratificationEvaluable: 39
Sokal risk, no. (%)
Low15 (38.5)
Intermediate15 (38.5)
High09 (23)
ELTS risk, no. (%)
Low19 (48.8)
Intermediate9 (23)
High11 (28.2)
Compliance
Good33 (80.5)
Fair1 (2.5)
Poor7 (17)
Thirty-nine patients were eligible for the risk stratification as per the Sokal and ELTS scoring. Fifteen (38.5%), 15 (38.5%), and 9 (23%) patients were classified low-, intermediate-, and high-risk Sokal scores, respectively, while19 (48.8%), 9 (23%), and 11 (28.2%) patients were low, intermediate, and high risk as per the ELTS score ( Table 1 ).

Early Responses

Thirty-two patients were evaluable for molecular responses at 3 months, of which 96.9% of patients achieved EMR by BCR-ABL of <10% at the IS scale. By the end of 12 months, 71.5% of patients achieved MMR and 91.4% of patients achieved complete cytogenetic response (CCyR) assessed by BCR-ABL polymerase chain reaction ( Fig. 1 ). Median time to MMR was 12 months (interquartile range [IQR]: 5.9–15 months). A total of 45.7% of patients achieved MMR by the end of 6 months. At median follow-up of 43.7 months, 28 (68.3%) patients achieved MMR with majority (27 patients) achieving MMR by the end of 12 months.
Fig. 1

BCR-ABL levels at 3, 6, and 12 months from start of treatment in evaluable patients.

BCR-ABL levels at 3, 6, and 12 months from start of treatment in evaluable patients.

Safety Profile

Most common adverse effect observed was weight gain in 14 (34.1%) patients. Other adverse effects were thrombocytopenia in 7 (17.07%), corrected QT (QTc) prolongation >475 m/s 4 (9.7%), elevated serum amylase in 4 (9.7%), and elevated alanine aminotransferase (ALT), hypopigmentation, body ache and fever each in 3 (7.3%) patients. Some uncommon adverse events were hyperglycemia in 2 (4.8%), papulopustular rash, weight loss, hypertension, deranged lipid profile and hyperpigmentation each in 1 (2.4%) patient. Elevated creatinine and IHD (ischemia heart disease) each was also observed in one patient. Grade 3 and 4 events were observed in 4 patients (9.7%) with thrombocytopenia in 2 and weight gain and elevated ALT in 1 patient each ( Table 2 ). Six patients had temporary cessation/dose reduction due to toxicities. One patient was discontinued to other TKI due to cardiac toxicity.
Table 2

Safety profile of Nilotinib observed during the study

Adverse events Any grade, n (%) Grade 3/4, n (%)
Abbreviations: AE, adverse event; QTc, corrected QT; TGA, triglyceride; TLC, total leukocyte count.
Biochemical abnormalities
Elevated creatinine1 (2.4)
Increased cholesterol1 (2.4)
Increased TGA1 (2.4)
TLC increased1 (2.4)
Increased bilirubin1 (2.4)
Hypokalemia1 (2.4)
Elevated serum amylase4 (9.7)
Elevated SGPT3 (7.3)1 (2.4)
Hyperglycemia2 (4.8)
Hematologic abnormalities
Thrombocytopenia7 (17.07)2 (4.8)
Nonhematologic AEs reported
Hypopigmentation3 (7.3)
Hyperpigmentation1 (2.4)
Edema limbs1 (2.4)
Papulopustular rash1 (2.4)
Bone pain1 (2.4)
Paresthesia1 (2.4)
Other AEs of interest
Weight gain14 (34.1)1 (2.4)
QTc prolongation4 (9.7)
Fever3 (7.3)
Hypertension1 (2.4)
Weight loss1 (2.4)
Ischemic heart disease1 (2.4)

Survival

Overall, five patients had loss of response with further progression and death in three patients. Rests of two patients are surviving, one each on Nilotinib and alternative TKI. Overall, eight patients were switched from Nilotinib to other TKI because of financial constraints ( n = 4), toxicities ( n = 1), and loss of response ( n = 3). At a median follow-up of 43.7 (IQR: 26–65) months, 38 patients survived with estimated 3-year EFS and OS of 65 ± 9 and 93 ± 5%. OS was found to be adversely affected by AP ( p = 0.001), higher spleen size ( p = 0.016), low baseline hemoglobin, high total leukocyte count, and lower platelet counts ( p = 0.05, p = 0.05, and p = 0.004, respectively). EFS was found to be adversely affected by male gender ( p = 0.030), AP ( p = 0.061), greater spleen size ( p = 0.003), high ELTS ( p ≤ 0.0001), no MMR at 12 months ( p = 0.038), and drug interruption >5 days overall ( p ≤ 0.0001). There was a trend of correlation of BCR-ABL of >1% at 3 months with poor EFS ( p = 0.054).

Discussion

Nilotinib has shown good EMR at 3 months and its association with improved MMR rates and EFS when used in newly diagnosed patients as well as after Imatinib failure. 8 9 10 Estimated rates of 3-year OS was found to be 93 ± 5%, which is similar to observation of Hughes et al who reported 3-year OS of 94.3%. 11 Lee et al reported that the larger spleen size at baseline was an independent factor for failure to achieve MMR. 12 Similarly, the present study revealed that a larger spleen size at diagnosis is significantly associated with the EMR ( p = 0.001) while a higher platelet count with failure to achieve MMR ( p = 0.026). ENEST1st data showed CCyR by 12 months in 82.5% of patients, whereas in our study CCyR was achieved in 91.4% of patients by 12 months. 9 Molica et al reported that high ELTS is a risk factor for CML-related deaths ( p ≤ 0.001) either with Imatinib, Nilotinib, or Dasatinib. 13 Yang et al reported 5-year OS probabilities of 98% (95% confidence interval [CI]: 96–100%), 89% (95% CI: 83–95%) and 79% (95% CI: 78–91%) in the low-, intermediate-, and high-risk ELTS groups ( p = 0.001 and 0.009 for high versus low and high versus intermediate risk groups). 14 Cortes et al reported two (3.2%) instances of QTc prolongation, whereas in our study group it is observed in four (9.7%) patients. 15 Saglio et al reported toxicity-related discontinuation rates of 5%. 4 Wei et al reported discontinuation of 2% of patients due to biochemical abnormalities. 16 Weight gain was seen in 34.1% (grade 3–4 in 2.4%) which is much higher for unknown reason than 4.6% reported by Zaidi et al. 17 Elevated SGPT (serum glutamic pyruvic transaminase) was seen in only 7.3% of our patients, which is much less than the reported data of 66% from the ENESTnd study. 4 Dose reductions and temporary cessation occurred in 59% of patients as reported by Saglio et al. While in our study group it occurred in 14.63% of patients. 4 This difference though unexplainable is possibly related to different ethnicity of patients and environmental factors. Yu et al reported 25.1% of patients discontinued TKI due to financial toxicity whereas in our study 9.75% of patients discontinued Nilotinib. Discontinuation of TKI due to financial toxicity was found to be associated with lower TKI-therapy response rates. 18 The low rates of progression and high rates of response in this study demonstrate the efficacy of frontline Nilotinib for the majority of patients. 18

Study Limitations

It is a retrospective study in a small cohort with short follow-up.

Conclusion

With the use of frontline Nilotinib, 96.9% patients achieved EMR at 3 months. By the end of 12 months, 91.4% of patients achieved CCyR and 71.5% achieved MMR with good OS rates. This shows encouraging results of frontline Nilotinib in Indian CML patients. Long-term follow-up with a larger cohort is required for better identification of prognostic factor and role of EMR in predicting outcome in Indian patients with CML.

Author Contribution

Author’s nameCredit author statement
Dr. Reema SinghConceptualization; data curation; formal analysis; methodology; roles/writing—original draft; writing—review and editing.
Dr. Narendra AgrawalConceptualization; data curation; formal analysis; methodology; roles/writing—original draft; writing—review and editing.
Ms. Jyotsna KapoorStatistical analysis, writing—review and editing, review and validation
Dr. Pallavi MehtaReview and validation
Dr. Vishvdeep KhushooReview and validation
Dr. Pragya AgrawalReview and validation
Dr. Rayaz AhmedReview and validation
Dr. Dinesh BhuraniReview and validation
  17 in total

1.  Long-term prognostic significance of early molecular response to imatinib in newly diagnosed chronic myeloid leukemia: an analysis from the International Randomized Study of Interferon and STI571 (IRIS).

Authors:  Timothy P Hughes; Andreas Hochhaus; Susan Branford; Martin C Müller; Jaspal S Kaeda; Letizia Foroni; Brian J Druker; François Guilhot; Richard A Larson; Stephen G O'Brien; Marc S Rudoltz; Manisha Mone; Elisabeth Wehrle; Vijay Modur; John M Goldman; Jerald P Radich
Journal:  Blood       Date:  2010-08-02       Impact factor: 22.113

2.  The Eutos long-term survival score accurately predicts the risk of death in chronic myeloid leukaemia patients treated outside of clinical trials.

Authors:  Matteo Molica; Martina Canichella; Danilo Alunni Fegatelli; Gioia Colafigli; Fulvio Massaro; Roberto Latagliata; Robin Foà; Massimo Breccia
Journal:  Am J Hematol       Date:  2017-10-19       Impact factor: 10.047

3.  Nilotinib versus imatinib for newly diagnosed chronic myeloid leukemia.

Authors:  Giuseppe Saglio; Dong-Wook Kim; Surapol Issaragrisil; Philipp le Coutre; Gabriel Etienne; Clarisse Lobo; Ricardo Pasquini; Richard E Clark; Andreas Hochhaus; Timothy P Hughes; Neil Gallagher; Albert Hoenekopp; Mei Dong; Ariful Haque; Richard A Larson; Hagop M Kantarjian
Journal:  N Engl J Med       Date:  2010-06-05       Impact factor: 91.245

4.  Early molecular response predicts outcomes in patients with chronic myeloid leukemia in chronic phase treated with frontline nilotinib or imatinib.

Authors:  Timothy P Hughes; Giuseppe Saglio; Hagop M Kantarjian; François Guilhot; Dietger Niederwieser; Gianantonio Rosti; Chiaki Nakaseko; Carmino Antonio De Souza; Matt E Kalaycio; Stephan Meier; Xiaolin Fan; Hans D Menssen; Richard A Larson; Andreas Hochhaus
Journal:  Blood       Date:  2013-12-11       Impact factor: 22.113

Review 5.  First-line treatment for chronic myeloid leukemia: dasatinib, nilotinib, or imatinib.

Authors:  Guoqing Wei; Shamudheen Rafiyath; Delong Liu
Journal:  J Hematol Oncol       Date:  2010-11-26       Impact factor: 17.388

6.  Frontline nilotinib in patients with chronic myeloid leukemia in chronic phase: results from the European ENEST1st study.

Authors:  A Hochhaus; G Rosti; N C P Cross; J L Steegmann; P le Coutre; G Ossenkoppele; L Petrov; T Masszi; A Hellmann; L Griskevicius; W Wiktor-Jedrzejczak; D Rea; D Coriu; T H Brümmendorf; K Porkka; G Saglio; G Gastl; M C Müller; P Schuld; P Di Matteo; A Pellegrino; L Dezzani; F-X Mahon; M Baccarani; F J Giles
Journal:  Leukemia       Date:  2015-10-06       Impact factor: 11.528

7.  [Analysis on tyrosine kinase inhibitor discontinuation in patients with chronic myeloid leukemia in the real world: experience from single center].

Authors:  L Yu; Y Z Qin; Q Jiang
Journal:  Zhonghua Xue Ye Xue Za Zhi       Date:  2017-09-14

8.  Early and sustained deep molecular response achieved with nilotinib in high Sokal risk chronic myeloid leukemia patients.

Authors:  Uzma Zaidi; Bushra Kaleem; Munira Borhany; Sidra Maqsood; Naveena Fatima; Gul Sufaida; Saqib Hussain Ansari; Tasneem Farzana; Tahir Sultan Shamsi
Journal:  Cancer Manag Res       Date:  2019-02-15       Impact factor: 3.989

9.  Is imatinib still the best choice as first-line oral TKI.

Authors:  Shweta Bansal
Journal:  South Asian J Cancer       Date:  2014-01

10.  Validation of the EUTOS Long-Term Survival Score in Chinese Chronic Myeloid Leukemia Patients Treated with Imatinib: A Multicenter Real-World Study.

Authors:  Xiawan Yang; Yanliang Bai; Mingyue Shi; Wanjun Zhang; Junwei Niu; Chengye Wu; Lei Zhang; Zhiwei Xu; Xiang Liu; Yuqing Chen; Kai Sun
Journal:  Cancer Manag Res       Date:  2020-02-20       Impact factor: 3.989

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  1 in total

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Authors:  Yanyu Wang; Dan Huang; Lejia Liu; Aixin Wang; Yuan Gao; Huan Lin
Journal:  Comput Math Methods Med       Date:  2022-10-08       Impact factor: 2.809

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