PMID- 37686630 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20230912 IS - 2072-6694 (Print) IS - 2072-6694 (Electronic) IS - 2072-6694 (Linking) VI - 15 IP - 17 DP - 2023 Aug 31 TI - Hematological Adverse Events with Tyrosine Kinase Inhibitors for Chronic Myeloid Leukemia: A Systematic Review with Meta-Analysis. LID - 10.3390/cancers15174354 [doi] LID - 4354 AB - Chronic myeloid leukemia (CML) is treated with tyrosine kinase inhibitors (TKI) that target the pathological BCR-ABL1 fusion oncogene. The objective of this statistical meta-analysis was to assess the prevalence of other hematological adverse events (AEs) that occur during or after predominantly first-line treatment with TKIs. Data from seventy peer-reviewed, published studies were included in the analysis. Hematological AEs were assessed as a function of TKI drug type (dasatinib, imatinib, bosutinib, nilotinib) and CML phase (chronic, accelerated, blast). AE prevalence aggregated across all severities and phases was significantly different between each TKI (p < 0.05) for anemia-dasatinib (54.5%), bosutinib (44.0%), imatinib (32.8%), nilotinib (11.2%); neutropenia-dasatinib (51.2%), imatinib (29.8%), bosutinib (14.1%), nilotinib (14.1%); thrombocytopenia-dasatinib (62.2%), imatinib (30.4%), bosutinib (35.3%), nilotinib (22.3%). AE prevalence aggregated across all severities and TKIs was significantly (p < 0.05) different between CML phases for anemia-chronic (28.4%), accelerated (66.9%), blast (55.8%); neutropenia-chronic (26.7%), accelerated (63.8%), blast (36.4%); thrombocytopenia-chronic (33.3%), accelerated (65.6%), blast (37.9%). An odds ratio (OR) with 95% confidence interval was used to compare hematological AE prevalence of each TKI compared to the most common first-line TKI therapy, imatinib. For anemia, dasatinib OR = 1.65, [1.51, 1.83]; bosutinib OR = 1.34, [1.16, 1.54]; nilotinib OR = 0.34, [0.30, 0.39]. For neutropenia, dasatinib OR = 1.72, [1.53, 1.92]; bosutinib OR = 0.47, [0.38, 0.58]; nilotinib OR = 0.47, [0.42, 0.54]. For thrombocytopenia, dasatinib OR = 2.04, [1.82, 2.30]; bosutinib OR = 1.16, [0.97, 1.39]; nilotinib OR = 0.73, [0.65, 0.82]. Nilotinib had the greatest fraction of severe (grade 3/4) hematological AEs (30%). In conclusion, the overall prevalence of hematological AEs by TKI type was: dasatinib > bosutinib > imatinib > nilotinib. Study limitations include inability to normalize for dosage and treatment duration. FAU - Kronick, Olivia AU - Kronick O AD - Laboratory for Pathology Dynamics, Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, GA 30332, USA. FAU - Chen, Xinyu AU - Chen X AUID- ORCID: 0000-0002-6769-3046 AD - Laboratory for Pathology Dynamics, Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, GA 30332, USA. FAU - Mehra, Nidhi AU - Mehra N AD - Laboratory for Pathology Dynamics, Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, GA 30332, USA. FAU - Varmeziar, Armon AU - Varmeziar A AD - Laboratory for Pathology Dynamics, Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, GA 30332, USA. FAU - Fisher, Rachel AU - Fisher R AD - Laboratory for Pathology Dynamics, Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, GA 30332, USA. FAU - Kartchner, David AU - Kartchner D AD - Laboratory for Pathology Dynamics, Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, GA 30332, USA. FAU - Kota, Vamsi AU - Kota V AUID- ORCID: 0000-0002-5290-9289 AD - Department of Medicine, Hematology and Oncology, Georgia Cancer Center at Augusta University, Augusta, GA 30912, USA. FAU - Mitchell, Cassie S AU - Mitchell CS AD - Laboratory for Pathology Dynamics, Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, GA 30332, USA. AD - The Machine Learning Center at Georgia Tech, Georgia Institute of Technology, Atlanta, GA 30332, USA. LA - eng GR - R21 CA232249/CA/NCI NIH HHS/United States GR - R21CA232249/NH/NIH HHS/United States PT - Journal Article PT - Review DEP - 20230831 PL - Switzerland TA - Cancers (Basel) JT - Cancers JID - 101526829 PMC - PMC10486908 OTO - NOTNLM OT - Philadelphia chromosome OT - chronic myeloid leukemia OT - personalized medicine OT - tyrosine kinase inhibitor COIS- The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. EDAT- 2023/09/09 11:45 MHDA- 2023/09/09 11:46 PMCR- 2023/08/31 CRDT- 2023/09/09 01:15 PHST- 2023/06/30 00:00 [received] PHST- 2023/08/24 00:00 [revised] PHST- 2023/08/28 00:00 [accepted] PHST- 2023/09/09 11:46 [medline] PHST- 2023/09/09 11:45 [pubmed] PHST- 2023/09/09 01:15 [entrez] PHST- 2023/08/31 00:00 [pmc-release] AID - cancers15174354 [pii] AID - cancers-15-04354 [pii] AID - 10.3390/cancers15174354 [doi] PST - epublish SO - Cancers (Basel). 2023 Aug 31;15(17):4354. doi: 10.3390/cancers15174354.