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Costa A, Abruzzese E, Latagliata R, Mulas O, Carmosino I, Scalzulli E, Bisegna ML, Ielo C, Martelli M, Caocci G, Breccia M. Safety and Efficacy of TKIs in very Elderly Patients (≥75 Years) with Chronic Myeloid Leukemia. J Clin Med 2024; 13:273. [PMID: 38202280 PMCID: PMC10779829 DOI: 10.3390/jcm13010273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 12/27/2023] [Accepted: 12/30/2023] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND While the outcomes of chronic phase chronic myeloid leukemia (CP-CML) patients aged over 65 years have been extensively evaluated in real-life experiences, limited data exist for the very elderly population (i.e., aged ≥ 75 years), especially for next-generation tyrosine kinase inhibitors (TKIs). In this retrospective study, we sought to evaluate the safety and efficacy of TKIs in this particular setting of patients. METHODS We conducted a retrospective analysis of a multicenter cohort of 123 newly diagnosed CP-CML very elderly patients. RESULTS The median age at diagnosis was 80 years (range: 75-96). In the first line, 86.1% of patients received imatinib, 7.1% dasatinib, 5.6% nilotinib, and 0.81% received bosutinib. A total of 31 patients (25.2%) switched to second-line therapy, nine patients to a third line, and one patient to a fourth line of therapy. Resistance to treatment was the primary reason for switching therapy in both the first (64.5%) and second lines (77.7%). At diagnosis, reduced doses were administered in 36.5% of patients, in 61.2% in the second line, and in all patients in subsequent lines of therapy. In the first-line setting, 71.9% of patients achieved an early molecular response (EMR, i.e., 3-month BCR::ABL1IS < 10%); at 6, 12, and 24 months, MR3 was reached by 35.7%, 55.7%, and 75.0% of patients, respectively, with 16.6%, 35.7%, and 51.7% achieving a deep molecular response (DMR) at the same time points. Treatment-free remission (TFR) was successfully attempted in 11 patients. During the follow-up period, adverse events (AEs) were observed in 78.8% of patients, including 22 cases of cardiovascular AEs. Toxicity grade ≥ 3 was more commonly observed in patients treated with standard doses of TKIs compared to reduced doses (p = 0.033). Overall, the median follow-up was 46.62 months (range: 1.8-206.2), and 43 patients died due to non-CML-related causes. Three patients died due to disease progression to advanced (n = 1) and blastic (n = 2) phases. The 5-year overall survival (OS) for the entire cohort was 71.9% (95% CI: 0.63-0.81), with no significant difference between the patients treated with standard doses of TKIs compared to those treated with reduced doses (p = 0.35). CONCLUSIONS TKIs appear to be safe and effective even in very elderly CML patients, and dose optimization strategies yield satisfactory molecular responses for adequate disease control with an improved safety profile.
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Affiliation(s)
- Alessandro Costa
- 1Hematology Unit, Businco Hospital, Department of Medical Sciences and Public Health, University of Cagliari, 09121 Cagliari, Italy; (A.C.); (O.M.); (G.C.)
| | - Elisabetta Abruzzese
- Hematology Unit, S. Eugenio Hospital, ASL Roma 2, Tor Vergata University, 00144 Rome, Italy
| | | | - Olga Mulas
- 1Hematology Unit, Businco Hospital, Department of Medical Sciences and Public Health, University of Cagliari, 09121 Cagliari, Italy; (A.C.); (O.M.); (G.C.)
| | - Ida Carmosino
- Hematology, Department of Translational and Precision Medicine, Az. Policlinico Umberto I-Sapienza University, 00185 Rome, Italy
| | - Emilia Scalzulli
- Hematology, Department of Translational and Precision Medicine, Az. Policlinico Umberto I-Sapienza University, 00185 Rome, Italy
| | - Maria Laura Bisegna
- Hematology, Department of Translational and Precision Medicine, Az. Policlinico Umberto I-Sapienza University, 00185 Rome, Italy
| | - Claudia Ielo
- Hematology, Department of Translational and Precision Medicine, Az. Policlinico Umberto I-Sapienza University, 00185 Rome, Italy
| | - Maurizio Martelli
- Hematology, Department of Translational and Precision Medicine, Az. Policlinico Umberto I-Sapienza University, 00185 Rome, Italy
| | - Giovanni Caocci
- 1Hematology Unit, Businco Hospital, Department of Medical Sciences and Public Health, University of Cagliari, 09121 Cagliari, Italy; (A.C.); (O.M.); (G.C.)
| | - Massimo Breccia
- Hematology, Department of Translational and Precision Medicine, Az. Policlinico Umberto I-Sapienza University, 00185 Rome, Italy
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Sun Y, Hendrix A, Muluneh B, Ozawa S. Online Pharmacy Accessibility of Imatinib, An Oral Chemotherapy Medication. J Natl Compr Canc Netw 2022; 20:808-814. [PMID: 35830891 DOI: 10.6004/jnccn.2022.7007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 01/24/2022] [Indexed: 11/17/2022]
Abstract
BACKGROUND Since prices of imatinib (Gleevec) remain high, patients on oral chemotherapy are looking for alternative methods to access this life-saving medication. We assessed the accessibility of imatinib through online pharmacies and analyzed each website for medication safety, price, and marketing tactics. METHODS We searched the term "buy imatinib online" using 4 commonly used internet search engines (Google, Bing, Yahoo!, and DuckDuckGo) and screened web pages displayed in the first 10 pages. Websites were included if they were published in English, sold imatinib, were free to access, and offered shipping in the United States. Websites were classified using LegitScript's categorization as "certified," "unclassified," "unapproved," or "rogue." We analyzed information on websites' patient safety characteristics, marketing techniques, pricing, domain registration information, and IP addresses. RESULTS Of the 44 online pharmacies identified, only 3 (7%) were certified, and the remainder were classified as rogue (52%; n=23), unapproved (30%; n=13), or unclassified (11%; n=5). Thirteen online pharmacies (30%; 9 rogue, 4 unclassified) sold imatinib without a prescription. Nearly one-quarter (n=10) of online pharmacies selling imatinib did not include drug-related warnings on their websites, and nearly half (n=21) did not limit the purchasable quantity. More than three-quarters (n=34) of online pharmacies selling imatinib did not offer pharmacist consultations, even though nearly all websites extended offers to speak with sales associates (91%; n=40). Most online pharmacies selling imatinib claimed price discounts (95%; n=42), but fewer provided bulk discounts (23%; n=10) or coupons (34%; n=15). One-third of rogue pharmacies selling imatinib (n=7) claimed to be registered or accredited on their websites. CONCLUSIONS The lack of safety measures taken by illegitimate online pharmacies endangers patient safety because they allow patients to purchase imatinib without appropriate evaluation for response, drug interactions, and adverse effects. Healthcare providers need to be aware of this practice and should assure patient access to imatinib through safe and legitimate pharmacies.
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Affiliation(s)
- Yujiao Sun
- Division of Practice Advancement and Clinical Education, and
| | - Adam Hendrix
- Division of Practice Advancement and Clinical Education, and
| | - Benyam Muluneh
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina, and
| | - Sachiko Ozawa
- Division of Practice Advancement and Clinical Education, and.,Department of Maternal Child Health, UNC Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
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Saydam G, Unal A, Haznedaroglu IC, Hacihanifioglu A, Mehtap O, Kurtoglu E, Gocer M, Turgut M, Kelkitli E, Atay MH, Guler N, Koluman BU, Sonmez M, Erkut N, Kaya E, Kuku I, Erkurt MA, Ozet G, Ceran F, Sahin F, Soyer N, Nalcaci M, Yilmaz M, Bozkurt S, Aver B, Ozdengulsun B, Ozbilgili E, Ilhan O. Turkey real-life data: demographic features, treatment results and effects of comorbidities in chronic myeloid leukemia. Int J Hematol Oncol 2022; 11:IJH40. [PMID: 36101779 PMCID: PMC9453544 DOI: 10.2217/ijh-2021-0008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 06/09/2022] [Indexed: 11/21/2022] Open
Abstract
Aim: This study aimed to identify patient characteristics, treatment patterns and outcomes and to evaluate the effects of presence of comorbidities at diagnosis in chronic phase (CP)-chronic myeloid leukemia (CML) patients in Turkey. Materials & methods: Hospital records between 2005 and 2018 were retrospectively reviewed. Results: Of 861 CP-CML patients included, 31% had at least one comorbidity at diagnosis. Sex, cardiovascular disease status at diagnosis and molecular (at least major) and cytogenetic (partial and complete) responses were the independent predictors of survival. Conclusion: The response rates of CP-CML patients to the tyrosine kinase inhibitors were satisfactory. In addition to tolerability and side effect profiles of drugs, comorbidity status of patients should also be considered in treatment choice in CML patients. This study aimed to identify patient characteristics, treatment patterns and outcomes and to evaluate the effects of presence of comorbidities at diagnosis in chronic phase (CP)-chronic myeloid leukemia (CML) patients in Turkey. Hospital records of patients between 2005 and 2018 were retrospectively reviewed. Of the included 861 CP-CML patients, 31% had at least one comorbidity at diagnosis. The survival of the patients was affected by sex, cardiovascular disease status at diagnosis, and molecular (at least major) and cytogenetic (partial and complete) responses. The response rates of CP-CML patients to the tyrosine kinase inhibitors were satisfactory. In addition to tolerability and side effect profiles of drugs, comorbidity status of patients should also be considered in treatment choice in CML patients.
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Affiliation(s)
- Guray Saydam
- Department of Internal Diseases, Division of Hematology, Ege University Medical Faculty Hospital, Izmir, 35100, Turkey
| | - Ali Unal
- Department of Internal Diseases, Division of Hematology, Erciyes University Faculty of Medicine, Kayseri, 38030, Turkey
| | | | - Abdullah Hacihanifioglu
- Department of Internal Diseases, Division of Hematology, Kocaeli University Faculty of Medicine, Izmit, 41001, Turkey
| | - Ozgur Mehtap
- Department of Internal Diseases, Division of Hematology, Kocaeli University Faculty of Medicine, Izmit, 41001, Turkey
| | - Erdal Kurtoglu
- Department of Internal Diseases, Division of Hematology, University of Health Sciences, Antalya Training & Research Hospital, Antalya, 07100, Turkey
| | - Mesut Gocer
- Department of Internal Diseases, Division of Hematology, University of Health Sciences, Antalya Training & Research Hospital, Antalya, 07100, Turkey
| | - Mehmet Turgut
- Department of Internal Diseases, Division of Hematology, Ondokuz Mayis University Faculty of Medicine, Samsun, 55139, Turkey
| | - Engin Kelkitli
- Department of Internal Diseases, Division of Hematology, Ondokuz Mayis University Faculty of Medicine, Samsun, 55139, Turkey
| | - Memis Hilmi Atay
- Department of Internal Diseases, Division of Hematology, Ondokuz Mayis University Faculty of Medicine, Samsun, 55139, Turkey
| | - Nil Guler
- Department of Internal Diseases, Pamukkale University Faculty of Medicine, Denizli, 20160, Turkey
| | - Basak Unver Koluman
- Department of Internal Diseases, Pamukkale University Faculty of Medicine, Denizli, 20160, Turkey
| | - Mehmet Sonmez
- Department of Internal Diseases, Division of Hematology, Karadeniz Technical University Faculty of Medicine, Trabzon, 61080, Turkey
| | - Nergiz Erkut
- Department of Internal Diseases, Division of Hematology, Karadeniz Technical University Faculty of Medicine, Trabzon, 61080, Turkey
| | - Emin Kaya
- Department of Internal Diseases, Division of Hematology, Inonu University Faculty of Medicine, Malatya, 44280, Turkey
| | - Irfan Kuku
- Department of Internal Diseases, Division of Hematology, Inonu University Faculty of Medicine, Malatya, 44280, Turkey
| | - Mehmet Ali Erkurt
- Department of Internal Diseases, Division of Hematology, Inonu University Faculty of Medicine, Malatya, 44280, Turkey
| | - Gulsum Ozet
- Department of Hematology, Ankara City Hospital, Ankara, 06800, Turkey
- Department of Internal Diseases, Ankara Yıldırım Beyazit University Faculty of Medicine, Ankara, 06800, Turkey
| | - Funda Ceran
- Department of Hematology, Ankara City Hospital, Ankara, 06800, Turkey
| | - Fahri Sahin
- Department of Internal Diseases, Division of Hematology, Ege University Medical Faculty Hospital, Izmir, 35100, Turkey
| | - Nur Soyer
- Department of Internal Diseases, Division of Hematology, Ege University Medical Faculty Hospital, Izmir, 35100, Turkey
| | - Meliha Nalcaci
- Department of Internal Diseases, Istanbul University Istanbul Faculty of Medicine, Istanbul, 34093, Turkey
| | - Mehmet Yilmaz
- Department of Internal Diseases, Division of Hematology, SANKO University Faculty of Medicine, Gaziantep, 27090, Turkey
| | - Sirac Bozkurt
- Department of Medical Oncology, Pfizer Pharmaceuticals, Istanbul, 34394, Turkey
| | - Birkan Aver
- Department of Medical Oncology, Pfizer Pharmaceuticals, Istanbul, 34394, Turkey
| | - Begum Ozdengulsun
- Department of Medical Oncology, Pfizer Pharmaceuticals, Istanbul, 34394, Turkey
| | - Egemen Ozbilgili
- Department of Medical Oncology, Pfizer Pharmaceuticals, Istanbul, 34394, Turkey
| | - Osman Ilhan
- Department of Internal Diseases, Division of Hematology, Ankara University Faculty of Medicine, Ankara, 06230, Turkey
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Wu W, Xu N, Zhou X, Liu L, Tan Y, Luo J, Huang J, Qin J, Wang J, Li Z, Yin C, Zhou L, Liu X. Integrative Genomic Analysis Reveals Cancer-Associated Gene Mutations in Chronic Myeloid Leukemia Patients with Resistance or Intolerance to Tyrosine Kinase Inhibitor. Onco Targets Ther 2020; 13:8581-8591. [PMID: 32943879 PMCID: PMC7468532 DOI: 10.2147/ott.s257661] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 07/30/2020] [Indexed: 12/18/2022] Open
Abstract
Introduction While the acquisition of mutations in the ABL1 kinase domain (KD) has been identified as a common mechanism behind tyrosine kinase inhibitor (TKI) resistance, recent genetic studies have revealed that patients with TKI resistance or intolerance frequently harbor one or more genetic alterations implicated in myeloid malignancies. This suggests that additional mutations other than ABL1 KD mutations might contribute to disease progression. Methods We performed targeted-capture sequencing of 127 known and putative cancer-related genes of 63 patients with CML using next-generation sequencing (NGS), including 42 patients with TKI resistance and 21 with TKI intolerance. Results The differences in the number of mutations between groups had no statistical significance. This could be explained in part by not all of the patients having achieved major molecular remission in the early period as expected. Overall, 66 mutations were identified in 96.8% of the patients, most frequently in the KTM2C (31.82%), ABL1 (31.82%), FAT1 (25.76%), and ASXL1 (22.73%) genes. CUX1, KIT, and GATA2 were associated with TKI intolerance, and two of them (CUX1, GATA2) are transcription factors in which mutations were identified in 82.61% of patients with TKI intolerance. ASXL1 mutations were found more frequently in patients with ABL1 KD mutations (38.1% vs 15.21%, P=0.041). Although the number of mutations was low, pairwise interaction between mutated genes showed that ABL1 KD mutations cooccurred with SH2B3 mutations (P<0.05). In Kaplan-Meier analyses, only TET2 mutations were associated with shorter progression-free survival (P=0.026). Conclusion Our data suggested that the CUX1, KIT, and GATA2 genes may play important roles in TKI intolerance. ASXL1 and TET2 mutations may be associated with poor patient prognosis. NGS helps improving the clinical risk stratification, which enables the identification of patients with TKI resistance or intolerance in the era of TKI therapy.
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Affiliation(s)
- Waner Wu
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong, People's Republic of China
| | - Na Xu
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong, People's Republic of China
| | - Xuan Zhou
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong, People's Republic of China
| | - Liang Liu
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong, People's Republic of China
| | - Yaxian Tan
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong, People's Republic of China
| | - Jie Luo
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong, People's Republic of China
| | - Jixian Huang
- Department of Hematology, Yuebei People's Hospital, Shantou University, Shaoguan 512025, Guangdong, People's Republic of China
| | - Jiayue Qin
- Yiwu Cancer Research Center, Fudan University Shanghai Cancer Center, Yiwu, Zhejiang 322000, People's Republic of China
| | - Juan Wang
- Yiwu Cancer Research Center, Fudan University Shanghai Cancer Center, Yiwu, Zhejiang 322000, People's Republic of China
| | - Zhimin Li
- Yiwu Cancer Research Center, Fudan University Shanghai Cancer Center, Yiwu, Zhejiang 322000, People's Republic of China
| | - Changxin Yin
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong, People's Republic of China
| | - Lingling Zhou
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong, People's Republic of China
| | - Xiaoli Liu
- Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong, People's Republic of China
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Mohamed MR, Ramsdale E, Loh KP, Arastu A, Xu H, Obrecht S, Castillo D, Sharma M, Holmes HM, Nightingale G, Juba KM, Mohile SG. Associations of Polypharmacy and Inappropriate Medications with Adverse Outcomes in Older Adults with Cancer: A Systematic Review and Meta-Analysis. Oncologist 2020; 25:e94-e108. [PMID: 31570516 PMCID: PMC6964156 DOI: 10.1634/theoncologist.2019-0406] [Citation(s) in RCA: 71] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Accepted: 07/11/2019] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Polypharmacy (PP) and potentially inappropriate medications (PIM) are highly prevalent in older adults with cancer. This study systematically reviews the associations of PP and/or PIM with outcomes and, through a meta-analysis, obtains estimates of postoperative outcomes associated with PP in this population. MATERIALS AND METHODS We searched PubMed, Embase, Web of Science, and Cochrane Register of Clinical Trials using standardized terms for concepts of PP, PIM, and cancer. Eligible studies included cohort studies, cross-sectional studies, meta-analyses, and clinical trials which examined outcomes associated with PP and/or PIM and included older adults with cancer. A random effects model included studies in which definitions of PP were consistent to examine the association of PP with postoperative complications. RESULTS Forty-seven articles met the inclusion criteria. PP was defined as five or more medications in 57% of the studies. Commonly examined outcomes included chemotherapy toxicities, postoperative complications, functional decline, hospitalization, and overall survival. PP was associated with chemotherapy toxicities (4/9 studies), falls (3/3 studies), functional decline (3/3 studies), and overall survival (2/11 studies). A meta-analysis of four studies indicated an association between PP (≥5 medications) and postoperative complications (overall odds ratio, 1.3; 95% confidence interval [1.3-2.8]). PIM was associated with adverse outcomes in 3 of 11 studies. CONCLUSION PP is associated with postoperative complications, chemotherapy toxicities, and physical and functional decline. Only three studies showed an association between PIM and outcomes. However, because of inconsistent definitions, heterogeneous populations, and variable study designs, these associations should be further investigated in prospective studies. IMPLICATIONS FOR PRACTICE Polypharmacy and potentially inappropriate medications (PIM) are prevalent in older adults with cancer. This systematic review summarizes the associations of polypharmacy and PIM with health outcomes in older patients with cancer. Polypharmacy and PIM have been associated with postoperative complications, frailty, falls, medication nonadherence, chemotherapy toxicity, and mortality. These findings emphasize the prognostic importance of careful medication review and identification of PIM by oncology teams. They also underscore the need to develop and test interventions to address polypharmacy and PIM in older patients with cancer, with the goal of improving outcomes in these patients.
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Affiliation(s)
- Mostafa R. Mohamed
- James P. Wilmot Cancer Center, University of Rochester Medical CenterRochesterNew YorkUSA
| | - Erika Ramsdale
- James P. Wilmot Cancer Center, University of Rochester Medical CenterRochesterNew YorkUSA
| | - Kah Poh Loh
- James P. Wilmot Cancer Center, University of Rochester Medical CenterRochesterNew YorkUSA
| | - Asad Arastu
- James P. Wilmot Cancer Center, University of Rochester Medical CenterRochesterNew YorkUSA
| | - Huiwen Xu
- James P. Wilmot Cancer Center, University of Rochester Medical CenterRochesterNew YorkUSA
- Department of Public Health, University of Rochester School of Medicine and DentistryRochesterNew YorkUSA
| | - Spencer Obrecht
- James P. Wilmot Cancer Center, University of Rochester Medical CenterRochesterNew YorkUSA
| | - Daniel Castillo
- MLIS‐Miner Library, University of Rochester School of Medicine and DentistryRochesterNew YorkUSA
| | - Manvi Sharma
- Department of Pharmacy Administration, University of Mississippi School of Pharmacy, UniversityMississippiUSA
| | - Holly M. Holmes
- The University of Texas Health Science Center at HoustonHoustonTexasUSA
| | - Ginah Nightingale
- Department of Pharmacy Practice, Thomas Jefferson UniversityPhiladelphiaPennsylvaniaUSA
| | - Katherine M. Juba
- Department of Pharmacy, University of Rochester Medical CenterRochesterNew YorkUSA
- Department of Pharmacy Practice, Wegmans School of PharmacyRochesterNew YorkUSA
| | - Supriya G. Mohile
- James P. Wilmot Cancer Center, University of Rochester Medical CenterRochesterNew YorkUSA
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Abood RA, Hasson HM, Khalaf AA, Saleh EM. Impact of Comorbidities on Survival Among Patients with Chronic Myeloid Leukaemia Using the Charlson Comorbidity Index: Retrospective study from Basra, Iraq. Sultan Qaboos Univ Med J 2019; 19:e236-e241. [PMID: 31728222 PMCID: PMC6839677 DOI: 10.18295/squmj.2019.19.03.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Revised: 02/05/2019] [Accepted: 02/28/2019] [Indexed: 12/12/2022] Open
Abstract
Objectives In chronic diseases, comorbidities are known to have a strong negative association with overall survival (OS). This study aimed to use the Charlson Comorbidity Index (CCI) to examine the effect of comorbidities on OS among patients with chronic myeloid leukaemia (CML) treated with tyrosine kinase inhibitors. Methods This retrospective study was conducted between January 2006 and October 2016 and included 247 CML patients treated at the Basra Oncology & Haematology Centre, Basra, Iraq. Information from hospital records was used to calculate CCI scores and patients were divided into groups based on scores of 2-3 (CCI1 group) or ≥4 (CCI2 group). The OS was calculated using Kaplan-Meier curves. Results There were 177 (71.7%) patients in the CCI1 group and 70 (28.3%) in the CCI2 group. Overall, patients in the CCI1 group were significantly younger compared to those in the CCI2 group (median age: 35 versus 60 years; P <0.001); however, the gender distribution was similar in both groups (male-to-female ratio of 1:1.06 versus 1:1.18, respectively; P = 0.683). Diabetes mellitus was the most common comorbidity (17%), followed by hypertension (12%) and gastrointestinal diseases (6%). There were no significant differences in mortality between the groups (9.6% versus 8.6%; P = 0.801). In total, 69.6% of all deaths were related to CML progression rather than to the presence of comorbidities. Conclusion No significant correlation was found between CCI score and OS among CML patients in Basra. However, larger long-term prospective studies are needed to evaluate associations with median age at diagnosis and disease severity and to develop region-specific prognostic scales.
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Affiliation(s)
- Rafid A Abood
- Department of Medicine, Basra College of Medicine, Basra, Iraq.,Basra Oncology & Haematology Centre, Basra, Iraq
| | | | - Asaad A Khalaf
- Department of Public Health, Basra Health Directorate, Basra, Iraq
| | - Elaf M Saleh
- Basra Oncology & Haematology Centre, Basra, Iraq
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Lussana F, Intermesoli T, Stefanoni P, Rambaldi A. Mechanisms of Resistance to Targeted Therapies in Chronic Myeloid Leukemia. Handb Exp Pharmacol 2018; 249:231-250. [PMID: 29242991 DOI: 10.1007/164_2017_81] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Patients with newly diagnosed chronic myeloid leukemia (CML) usually received as first-line treatment a first- or second-generation tyrosine kinase inhibitor (TKI). Although initial responses are high, therapy fails in up to 40% of patients and initial response is lost within 2 years in approximately 25% of patients. In the last few years, intensive efforts have been spent to explain treatment failure, and different mechanisms of resistance have been identified, ranging from BCR-ABL1 kinase domain mutations to lack of adherence to therapy. In this review, we briefly summarize the clinical efficacy of approved TKIs and describe the main mechanisms of TKI resistance.
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Affiliation(s)
- Federico Lussana
- Hematology and Bone Marrow Transplant Unit, ASST Papa Giovanni XXIII Bergamo, Bergamo, Italy
| | - Tamara Intermesoli
- Hematology and Bone Marrow Transplant Unit, ASST Papa Giovanni XXIII Bergamo, Bergamo, Italy.
| | - Paola Stefanoni
- Hematology and Bone Marrow Transplant Unit, ASST Papa Giovanni XXIII Bergamo, Bergamo, Italy
| | - Alessandro Rambaldi
- Hematology and Bone Marrow Transplant Unit, ASST Papa Giovanni XXIII Bergamo, Bergamo, Italy
- Department of Oncology and Hematology, Università degli Studi di Milano, Milan, Italy
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Leger DY, Moreau S, Signol N, Fargeas JB, Picat MA, Penot A, Abraham J, Laroche ML, Bordessoule D. Polypharmacy, potentially inappropriate medications and drug-drug interactions in geriatric patients with hematologic malignancy: Observational single-center study of 122 patients. J Geriatr Oncol 2018; 9:60-67. [DOI: 10.1016/j.jgo.2017.07.015] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Revised: 05/23/2017] [Accepted: 07/27/2017] [Indexed: 01/02/2023]
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9
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Polypharmacy in Older Adults with Cancer: Evaluating Polypharmacy as Part of the Geriatric Assessment. CURRENT GERIATRICS REPORTS 2017. [DOI: 10.1007/s13670-017-0221-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
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10
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Ko PS, Yu YB, Liu YC, Wu YT, Hung MH, Gau JP, Liu CJ, Hsiao LT, Chen PM, Chiou TJ, Liu CY, Liu JH. Moderate anemia at diagnosis is an independent prognostic marker of the EUTOS, Sokal, and Hasford scores for survival and treatment response in chronic-phase, chronic myeloid leukemia patients with frontline imatinib. Curr Med Res Opin 2017; 33:1737-1744. [PMID: 28715941 DOI: 10.1080/03007995.2017.1356708] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
OBJECTIVES This study aimed to examine the prognostic value of anemia for the diagnosis of chronic myeloid leukemia in the chronic phase (CML-CP) receiving imatinib. METHODS One hundred and fifty-four CML-CP patients were enrolled. The influences of moderate anemia with hemoglobin (Hb) < 10 g/dl, four scoring systems, and the early molecular response at 3 months (BCR-ABL ≤10%; 3M-EMR) on the achievement of a deep molecular response (DMR, MR4.5), progression-free survival (PFS), event-free survival (EFS), and overall survival (OS) were compared. RESULTS Moderate anemia was identified in 44 (28.6%) patients. These patients had more aggressive baseline features and higher risks, as assessed by scoring systems, and less favorable treatment responses vs those without anemia, including 3M-EMR (50.0% vs 69.1%), a complete cytogenetic response at 6 months (20.5% vs 50.9%), and a major molecular response at 12 months (22.5% vs 45.2%), with a median follow-up of 54.0 months. Furthermore, an Hb of 10 g/dl better distinguished DMR, EFS, PFS, and OS than the EUTOS, Sokal, and Hasford scores, and better predicted the responses and survivals in combination with 3M-EMR than 3M-EMR alone. CONCLUSIONS This finding highlights the significance of anemia in CML-CP, and suggests that patients with anemia at diagnosis should be carefully monitored and might benefit from more potent TKIs if not achieving 3M-EMR.
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Affiliation(s)
- Po-Shen Ko
- a Division of Hematology and Oncology, Department of Medicine , Taipei Veterans General Hospital , Taipei , Taiwan
- b School of Medicine , National Yang-Ming University , Taipei , Taiwan
| | - Yuan-Bin Yu
- b School of Medicine , National Yang-Ming University , Taipei , Taiwan
- c Division of Oncology and Hematology, Department of Internal Medicine , Far Eastern Memorial Hospital , Taipei , Taiwan
| | - Yao-Chung Liu
- a Division of Hematology and Oncology, Department of Medicine , Taipei Veterans General Hospital , Taipei , Taiwan
- b School of Medicine , National Yang-Ming University , Taipei , Taiwan
| | - Yi-Tsui Wu
- d Department of Nursing , Taipei Veterans General Hospital , Taipei , Taiwan
| | - Man-Hsin Hung
- b School of Medicine , National Yang-Ming University , Taipei , Taiwan
- e Division of Medical Oncology, Department of Oncology , Taipei Veterans General Hospital , Taipei , Taiwan
| | - Jyh-Pyng Gau
- a Division of Hematology and Oncology, Department of Medicine , Taipei Veterans General Hospital , Taipei , Taiwan
- b School of Medicine , National Yang-Ming University , Taipei , Taiwan
| | - Chia-Jen Liu
- a Division of Hematology and Oncology, Department of Medicine , Taipei Veterans General Hospital , Taipei , Taiwan
- b School of Medicine , National Yang-Ming University , Taipei , Taiwan
- f Institute of Public Health, National Yang-Ming University , Taipei , Taiwan
| | - Liang-Tsai Hsiao
- a Division of Hematology and Oncology, Department of Medicine , Taipei Veterans General Hospital , Taipei , Taiwan
- b School of Medicine , National Yang-Ming University , Taipei , Taiwan
| | - Po-Min Chen
- a Division of Hematology and Oncology, Department of Medicine , Taipei Veterans General Hospital , Taipei , Taiwan
- b School of Medicine , National Yang-Ming University , Taipei , Taiwan
| | - Tzeon-Jye Chiou
- b School of Medicine , National Yang-Ming University , Taipei , Taiwan
- g Division of Transfusion Medicine, Department of Medicine , Taipei Veterans General Hospital , Taipei , Taiwan
| | - Chun-Yu Liu
- b School of Medicine , National Yang-Ming University , Taipei , Taiwan
- e Division of Medical Oncology, Department of Oncology , Taipei Veterans General Hospital , Taipei , Taiwan
| | - Jin-Hwang Liu
- a Division of Hematology and Oncology, Department of Medicine , Taipei Veterans General Hospital , Taipei , Taiwan
- h Institute of Biopharmaceutical Sciences, National Yang-Ming University , Taipei , Taiwan
- i Chong Hin Loon Memorial Cancer and Biotherapy Research Center, National Yang-Ming University , Taipei , Taiwan
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Ali MAM. Chronic Myeloid Leukemia in the Era of Tyrosine Kinase Inhibitors: An Evolving Paradigm of Molecularly Targeted Therapy. Mol Diagn Ther 2017; 20:315-33. [PMID: 27220498 DOI: 10.1007/s40291-016-0208-1] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Chronic myeloid leukemia (CML) is a myeloproliferative neoplasm, characterized by the unrestrained expansion of pluripotent hematopoietic stem cells. CML was the first malignancy in which a unique chromosomal abnormality was identified and a pathophysiologic association was suggested. The hallmark of CML is a reciprocal chromosomal translocation between the long arms of chromosomes 9 and 22, t(9; 22)(q34; q11), creating a derivative 9q+ and a shortened 22q-. The latter, known as the Philadelphia (Ph) chromosome, harbors the breakpoint cluster region-abelson (BCR-ABL) fusion gene, encoding the constitutively active BCR-ABL tyrosine kinase that is necessary and sufficient for initiating CML. The successful implementation of tyrosine kinase inhibitors (TKIs) for the treatment of CML remains a flagship for molecularly targeted therapy in cancer. TKIs have changed the clinical course of CML; however, some patients nonetheless demonstrate primary or secondary resistance to such therapy and require an alternative therapeutic strategy. Therefore, the assessment of early response to treatment with TKIs has become an important tool in the clinical monitoring of CML patients. Although mutations in the BCR-ABL have proven to be the most prominent mechanism of resistance to TKIs, other mechanisms-either rendering the leukemic cells still dependent on BCR-ABL activity or supporting oncogenic properties of the leukemic cells independent of BCR-ABL signaling-have been identified. This article provides an overview of the current understanding of CML pathogenesis; recommendations for diagnostic tools, treatment strategies, and management guidelines; and highlights the BCR-ABL-dependent and -independent mechanisms that contribute to the development of resistance to TKIs.
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Affiliation(s)
- Mohamed A M Ali
- Department of Biochemistry, Faculty of Science, Ain Shams University, Abbassia, 11566, Cairo, Egypt.
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12
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13
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Jabbour E, Makenbaeva D, Lingohr-Smith M, Lin J. Use of Real-World Claim Databases to Assess Prevalence of Comorbid Conditions Relevant to the Treatment of Chronic Myelogenous Leukemia Based on National Comprehensive Network Treatment Guidelines. CLINICAL LYMPHOMA MYELOMA & LEUKEMIA 2015; 15:797-802. [DOI: 10.1016/j.clml.2015.09.008] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2015] [Revised: 09/16/2015] [Accepted: 09/21/2015] [Indexed: 10/23/2022]
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14
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Mohammadi M, Cao Y, Glimelius I, Bottai M, Eloranta S, Smedby KE. The impact of comorbid disease history on all-cause and cancer-specific mortality in myeloid leukemia and myeloma - a Swedish population-based study. BMC Cancer 2015; 15:850. [PMID: 26537111 PMCID: PMC4634819 DOI: 10.1186/s12885-015-1857-x] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2015] [Accepted: 10/27/2015] [Indexed: 11/20/2022] Open
Abstract
Background Comorbidity increases overall mortality in patients diagnosed with hematological malignancies. The impact of comorbidity on cancer-specific mortality, taking competing risks into account, has not been evaluated. Methods Using the Swedish Cancer Register, we identified patients aged >18 years with a first diagnosis of acute myeloid leukemia (AML, N = 2,550), chronic myeloid leukemia (CML, N = 1,000) or myeloma (N = 4,584) 2002–2009. Comorbid disease history was assessed through in- and out-patient care as defined in the Charlson comorbidity index. Mortality rate ratios (MRR) were estimated through 2012 using Poisson regression. Probabilities of cancer-specific death were computed using flexible parametric survival models. Results Comorbidity was associated with increased all-cause as well as cancer-specific mortality (cancer-specific MRR: AML = 1.27, 95 % CI: 1.15–1.40; CML = 1.28, 0.96–1.70; myeloma = 1.17, 1.08–1.28) compared with patients without comorbidity. Disorders associated with higher cancer-specific mortality were renal disease (in patients with AML, CML and myeloma), cerebrovascular conditions, dementia, psychiatric disease (AML, myeloma), liver and rheumatic disease (AML), cardiovascular and pulmonary disease (myeloma). The difference in the probability of cancer-specific death, comparing patients with and without comorbidity, was largest among AML patients <70 years, whereas in myeloma the difference did not vary by age among the elderly. The probability of cancer-specific death was generally higher than other-cause death even in older age groups, irrespective of comorbidity. Conclusion Comorbidities associated with organ failure or cognitive function are associated with poorer prognosis in several hematological malignancies, likely due to lower treatment tolerability. The results highlight the need for a better balance between treatment toxicity and efficacy in comorbid and elderly AML, CML and myeloma patients. Electronic supplementary material The online version of this article (doi:10.1186/s12885-015-1857-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Mohammad Mohammadi
- Division of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
| | - Yang Cao
- Institute of Environmental Medicine, Unit of Biostatistics, Division of Epidemiology, Karolinska Institutet, Stockholm, Sweden.
| | - Ingrid Glimelius
- Department of Medicine, Clinical Epidemiology Unit, Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden. .,Department of Immunology, Genetics and Pathology, Unit of Oncology, Uppsala University, Uppsala, Sweden.
| | - Matteo Bottai
- Institute of Environmental Medicine, Unit of Biostatistics, Division of Epidemiology, Karolinska Institutet, Stockholm, Sweden.
| | - Sandra Eloranta
- Department of Medicine, Clinical Epidemiology Unit, Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.
| | - Karin E Smedby
- Department of Medicine, Clinical Epidemiology Unit, Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden. .,Hematology Center, Karolinska University Hospital, Stockholm, Sweden.
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Patel S, Medeiros BC. Polypharmacy in AML: the tip of the iceberg. Leuk Res 2014; 38:1378-9. [PMID: 25293516 DOI: 10.1016/j.leukres.2014.09.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2014] [Accepted: 09/15/2014] [Indexed: 11/30/2022]
Affiliation(s)
- Samit Patel
- Stanford Health Care, Pharmacy Department, 300 Pasteur Drive, Stanford, CA 94305, USA
| | - Bruno C Medeiros
- Stanford University, Department of Medicine, Division of Hematology, Stanford, CA 94305, USA.
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