Bose P and Bandyopadhyay S: A comprehensive assessment and classification of acute lymphocytic leukemia. Math Comput Appl. 29:452024.

Sekeres MA, Guyatt G, Abel G, Alibhai S, Altman JK, Buckstein R, Choe H, Desai P, Erba H, Hourigan CS, et al: American Society of Hematology 2020 guidelines for treating newly diagnosed acute myeloid leukemia in older adults. Blood Adv. 4:3528–3549. 2020. View Article : Google Scholar : PubMed/NCBI

Tirado HA, Balasundaram N, Laaouimir L, Erdem A and van Gastel N: Metabolic crosstalk between stromal and malignant cells in the bone marrow niche. Bone Rep. 18:1016692023. View Article : Google Scholar : PubMed/NCBI

Kaszuba CM, Rodems BJ, Sharma S, Franco EI, Ashton JM, Calvi LM and Bajaj J: Identifying bone marrow microenvironmental populations in myelodysplastic Syndrome and acute myeloid leukemia. J Vis Exp. Nov 10–2023.Epub ahead of print. View Article : Google Scholar : PubMed/NCBI

Ye B, Sheng Y, Zhang M, Hu Y and Huang H: Early detection and intervention of clonal hematopoiesis for preventing hematological malignancies. Cancer Lett. 538:2156912022. View Article : Google Scholar : PubMed/NCBI

Coombs CC, Zehir A, Devlin S, Zehir A, Devlin S, Kishtagari A, Hyman DM, Solit D, Robson M, Baselga J, et al: Mutational analysis of clonal hematopoiesis in solid tumor patients Illustrates the critical role of systemic anti-cancer therapies in the evolution of somatic leukemia disease alleles. Blood. 128:372016. View Article : Google Scholar

Stengel A, Baer C, Walter W, Meggendorfer M, Kern W, Haferlach T and Haferlach C: Mutational patterns and their correlation to CHIP-related mutations and age in hematological malignancies. Blood Adv. 5:4426–4434. 2021. View Article : Google Scholar : PubMed/NCBI

Shiozawa Y, Havens AM, Pienta KJ and Taichman RS: The bone marrow niche: Habitat to hematopoietic and mesenchymal stem cells, and unwitting host to molecular parasites. Leukemia. 22:941–950. 2008. View Article : Google Scholar : PubMed/NCBI

Chowdhury MM: Stem cell in cancer disease cure vs cause. 2022, https://dspace.bracu.ac.bd/xmlui/bitstream/handle/10361/17759/18146041_PHR.pdf?sequence=1.

Hoffman R: Progress in the development of systems for in vitro expansion of human hematopoietic stem cells. Curr Opin Hematol. 6:184–191. 1999. View Article : Google Scholar : PubMed/NCBI

Landau DA, Carter SL, Getz G and Wu CJ: Clonal evolution in hematological malignancies and therapeutic implications. Leukemia. 28:34–43. 2014. View Article : Google Scholar

Wang X, Huang S and Chen JL: Understanding of leukemic stem cells and their clinical implications. Mol Cancer. 16:22017. View Article : Google Scholar : PubMed/NCBI

Komarova NL, Burger JA and Wodarz D: Evolution of ibrutinib resistance in chronic lymphocytic leukemia (CLL). Proc Natl Acad Sci USA. 111:13906–13911. 2014. View Article : Google Scholar : PubMed/NCBI

Shimony S, Stahl M and Stone RM: Acute myeloid leukemia: 2023 update on diagnosis, risk-stratification, and management. Am J Hematol. 98:502–526. 2023. View Article : Google Scholar : PubMed/NCBI

Jabbour E and Kantarjian H: Chronic myeloid leukemia: 2018 update on diagnosis, therapy and monitoring. Am J Hematol. 93:442–459. 2018. View Article : Google Scholar : PubMed/NCBI

Miranda-Filho A, Piñeros M, Ferlay J, Soerjomataram I, Monnereau A and Bray F: Epidemiological patterns of leukaemia in 184 countries: A population-based study. Lancet Haematol. 5:e14–e24. 2018. View Article : Google Scholar : PubMed/NCBI

Lin K, Jia H, Cao M, Xu T, Chen Z, Song X, Miao Y, Yao T, Dong C, Shao J, et al: Epidemiological characteristics of leukemia in China, 2005-2017: A log-linear regression and age-period-cohort analysis. BMC Public Health. 23:16472023. View Article : Google Scholar : PubMed/NCBI

Zeidan AM, Mahmoud D, Kucmin-Bemelmans IT, Alleman CJ, Hensen M, Skikne B and Smith BD: Economic burden associated with acute myeloid leukemia treatment. Expert Rev Hematol. 9:79–89. 2016. View Article : Google Scholar

Arber DA, Campo E and Jaffe ES: Advances in the classification of myeloid and lymphoid neoplasms. Virchows Arch. 482:1–9. 2023. View Article : Google Scholar : PubMed/NCBI

Al-Bayati A, Al-Bayti A and Husain V: A short review about chronic myeloid leukemia. J Life Bio Sci Res. 4:15–19. 2023. View Article : Google Scholar

Sell S: Leukemia: Stem cells, maturation arrest, and differentiation therapy. Stem Cell Rev. 1:197–206. 2005. View Article : Google Scholar

Cheng Y, Luo H and Kharas MG: Rubbing out leukemia stem cells by erasing the eraser. Cell Stem Cell. 27:3–5. 2020. View Article : Google Scholar : PubMed/NCBI

Kassahun W, Tesfaye G, Bimerew LG, Fufa D, Adissu W and Yemane T: Prevalence of Leukemia and Associated Factors among Patients with Abnormal Hematological Parameters in Jimma Medical Center, Southwest Ethiopia: A Cross-Sectional Study. Adv Hematol. 2020:1–7. 2020. View Article : Google Scholar

Jahic A, Iljazovic E, Hasic S, Arnautovic AC, Sabitovic D, Mesanovic S, Sahovic H and Simendic V: Prognostic Parameters of Acute Myeloid Leukaemia at Presentation. Med Arch. 71:20–24. 2017. View Article : Google Scholar : PubMed/NCBI

Zhang H, Luo XQ, Zhang P, Huang LB, Zheng YS, Wu J, Zhou H, Qu LH, Xu L and Chen YQ: MicroRNA patterns associated with clinical prognostic parameters and CNS relapse prediction in pediatric acute leukemia. PLoS One. 4:e78262009. View Article : Google Scholar : PubMed/NCBI

Kardum-Skelin I, Planinc-Peraica A, Ostojić Kolonić S, Radić-Kristo D, Milas M, Vrhovac R, Sustercić D, Minigo H and Jaksić B: Clinical and laboratory prognostic parameters for leukemic types of chronic lymphoproliferative diseases. Acta Med Croatica. 62:351–364. 2008.In Croatian.

Othieno-Abinya NA, Mwanda WO, Maina MD, Odhiambo AO, Mwanzi SA and Oyiro PO: Haematological parameters in chronic myeloid leukaemia as determinants of clinical manifestations in this disease. J Clin Oncol. 34:e185292016. View Article : Google Scholar

Spiers AS: Management of the chronic leukemias: Special considerations in the elderly patient. part II: Chronic granulocytic leukemia. Hematology. 6:357–380. 2001. View Article : Google Scholar : PubMed/NCBI

Sharma K, Puniyani RR, Bhat SV, Advani SH, Hegde U and Rao S: Blood viscosity parameter correlation with types of leukemia. Physiol Chem Phys Med NMR. 24:159–164. 1992.PubMed/NCBI

Germing U, Strupp C, Aivado M and Gattermann N: New prognostic parameters for chronic myelomonocytic leukemia? Blood. 100:731–732; author reply 732-3. 2002. View Article : Google Scholar

Tonorezos ES, Robien K, Eshelman-Kent D, Moskowitz CS, Church TS, Ross R and Oeffinger KC: Contribution of diet and physical activity to metabolic parameters among survivors of childhood leukemia. Cancer Causes Control. 24:313–321. 2013. View Article : Google Scholar :

Haferlach C, Dicker F, Weiss T, Schnittger S, Beck C, Grote-Metke A, Oruzio D, Kern W and Haferlach T: Toward a comprehensive prognostic scoring system in chronic lymphocytic leukemia based on a combination of genetic parameters. Genes Chromosomes Cancer. 49:851–859. 2010. View Article : Google Scholar : PubMed/NCBI

Jaeger BA, Tauer JT, Ulmer A, Kuhlisch E, Roth HJ and Suttorp M: Changes in bone metabolic parameters in children with chronic myeloid leukemia on imatinib treatment. Med Sci Monit. 18:CR721–CR728. 2012. View Article : Google Scholar : PubMed/NCBI

Letestu R, Lévy V, Eclache V, Baran-Marszak F, Vaur D, Naguib D, Schischmanoff O, Katsahian S, Nguyen-Khac F, Davi F, et al: Prognosis of Binet stage A chronic lymphocytic leukemia patients: the strength of routine parameters. Blood. 116:4588–4590. 2010. View Article : Google Scholar : PubMed/NCBI

Negrini M, Cutrona G, Bassi C, Fabris S, Zagatti B, Colombo M, Ferracin M, D'Abundo L, Saccenti E, Matis S, et al: microRNA ome expression in chronic lymphocytic leukemia: Comparison with Normal B-cell subsets and correlations with prognostic and clinical parameters. Clin Cancer Res. 20:4141–4153. 2014. View Article : Google Scholar : PubMed/NCBI

Rigolin GM, Cibien F, Martinelli S, Formigaro L, Rizzotto L, Tammiso E, Saccenti E, Bardi A, Cavazzini F, Ciccone M, et al: Chromosome aberrations detected by conventional karyotyping using novel mitogens in chronic lymphocytic leukemia with 'normal' FISH: Correlations with clinicobiologic parameters. Blood. 119:2310–2313. 2012. View Article : Google Scholar : PubMed/NCBI

Babusikova O, Stevulova L and Fajtova M: Immunophenotyping parameters as prognostic factors in T-acute leukemia patients. Neoplasma. 56:508–513. 2009. View Article : Google Scholar : PubMed/NCBI

Joncourt F, Oberlischraummli AE, Stadler M, Buser K, Franscini L, Fey MF and Cerny T: Patterns of Drug Resistance Parameters in Adult Leukemia. Leuk Lymphoma. 17:101–109. 1995. View Article : Google Scholar : PubMed/NCBI

Baumgartner A, Zueger N, Bargetzi A, Medinger M, Passweg JR, Stanga Z, Mueller B, Bargetzi M and Schuetz P: Association of nutritional parameters with clinical outcomes in patients with acute myeloid leukemia undergoing haematopoietic stem cell transplantation. Ann Nutr Metab. 69:89–98. 2016. View Article : Google Scholar : PubMed/NCBI

Sillaber C, Mayerhofer M, Agis H, Sagaster V, Mannhalter C, Sperr WR, Geissler K and Valent P: Chronic myeloid leukemia: Pathophysiology, diagnostic parameters, and current treatment concepts. Wien Klin Wochenschr. 115:485–504. 2003. View Article : Google Scholar : PubMed/NCBI

Zittoun R, Cadiou M, Bayle C, Suciu S, Solbu G and Hayat M: Prognostic value of cytologic parameters in acute myelogenous leukemia. Cancer. 53:1526–1532. 1984. View Article : Google Scholar : PubMed/NCBI

Piard C, Bressolle F, Fakhoury M, Zhang D, Yacouben K, Rieutord A and Jacqz-Aigrain E: A limited sampling strategy to estimate individual pharmacokinetic parameters of methotrexate in children with acute lymphoblastic leukemia. Cancer Chemother Pharmacol. 60:609–620. 2006. View Article : Google Scholar

Halonen P, Mattila J, Suominen P, Ruuska T, Salo MK and Mäkipernaa A: Iron overload in children who are treated for acute lymphoblastic leukemia estimated by liver siderosis and serum iron parameters. Pediatrics. 111:91–96. 2003. View Article : Google Scholar : PubMed/NCBI

Prabhu M, Kochupillai V, Sharma S, Ramachandran P, Sundaram KR, Bijlani L and Ahuja RK: Prognostic assessment of various parameters in chronic myeloid leukemia. Cancer. 58:1357–1360. 1986. View Article : Google Scholar : PubMed/NCBI

Shinawi T, Hill V, Dagklis A, Baliakas P, Stamatopoulos K, Agathanggelou A, Stankovic T, Maher ER, Ghia P and Latif F: KIBRAgene methylation is associated with unfavorable biological prognostic parameters in chronic lymphocytic leukemia. Epigenetics. 7:211–215. 2012. View Article : Google Scholar : PubMed/NCBI

Royer-Pokora B, Beug H, Claviez M, Winkhardt HJ, Friis RR and Graf T: Transformation parameters in chicken fibroblasts transformed by AEV and MC29 avian leukemia viruses. Cell. 13:751–760. 1978. View Article : Google Scholar : PubMed/NCBI

Oliveira GB, Pereira FG, Metze K and Lorand-Metze I: Spontaneous apoptosis in chronic lymphocytic leukemia and its relationship to clinical and cell kinetic parameters. Cytometry. 46:329–335. 2001. View Article : Google Scholar : PubMed/NCBI

Hofmann-Lehmann R, Holznagel E, Ossent P and Lutz H: Parameters of disease progression in long-term experimental feline retrovirus (feline immunodeficiency virus and feline leukemia virus) infections: hematology, clinical chemistry, and lymphocyte subsets. Clin Diagn Lab Immunol. 4:33–42. 1997. View Article : Google Scholar : PubMed/NCBI

Chiaretti S, Marinelli M, Del Giudice I, Bonina S, Piciocchi A, Messina M, Vignetti M, Rossi D, Di Maio V, Mauro FR, et al: NOTCH1, SF3B1, BIRC3andTP53mutations in patients with chronic lymphocytic leukemia undergoing first-line treatment: correlation with biological parameters and response to treatment. Leuk Lymphoma. 55:2785–2792. 2014. View Article : Google Scholar : PubMed/NCBI

Li J, Zheng R, Niu J, Song X, Wu W, Fan R and Gong T: Correlation of intravoxel incoherent motion parameters and histological characteristics from infiltrated marrow in patients with acute leukemia. J Magn Reson Imaging. 51:1720–1726. 2019. View Article : Google Scholar : PubMed/NCBI

Dhasmana R, Prakash A, Gupta N and Verma SK: Ocular manifestations in leukemia and myeloproliferative disorders and their association with hematological parameters. Ann Afr Med. 15:97–103. 2016. View Article : Google Scholar : PubMed/NCBI

Omer SH, AA K, IM O, OH M, HN A and Elamin BK: Prevalence of the different FAB sub type of Acute Myeloid Leukemia related to hematological parameters in Sudanese. J Hematol Blood Disord. 3:1022017. View Article : Google Scholar

Heintel D, Schwarzinger I, Chizzali-Bonfadin C, Thalhammer R, Schwarzmeier J, Fritzer-Szekeres M, Weltermann A, Simonitsch I, Lechner K and Jaeger U: Association of CD38 antigen expression with other prognostic parameters in early stages of chronic lymphocytic leukemia. Leuk Lymphoma. 42:1315–1321. 2001. View Article : Google Scholar

Molica S, Cutrona G, Vitelli G, Mirabelli R, Molica M, Digiesi G, Ribatti D, Ferrarini M and Vacca A: Markers of increased angiogenesis and their correlation with biological parameters identifying high-risk patients in early B-cell chronic lymphocytic leukemia. Leuk Res. 31:1575–1578. 2007. View Article : Google Scholar : PubMed/NCBI

Levine PH, Merrill DA, Bethlenfalvay NC, Dabich L, Stevens DA and Waggoner DE: A longitudinal comparison of antibodies to epstein-barr virus and clinical parameters in chronic lymphocytic leukemia and chronic myelocytic leukemia. Blood. 38:479–484. 1971. View Article : Google Scholar : PubMed/NCBI

Martell RE, Peterson BL, Cohen HJ, Petros WP, Rai KR, Morrison VA, Elias L, Shepherd L, Hines J, Larson RA, et al: Analysis of age, estimated creatinine clearance and pretreatment hematologic parameters as predictors of fludarabine toxicity in patients treated for chronic lymphocytic leukemia: A CALGB (9011) coordinated intergroup study. Cancer Chemother Pharmacol. 50:37–45. 2002. View Article : Google Scholar : PubMed/NCBI

Bergmann MA, Eichhorst BF, Busch R, Adorf D, Stilgenbauer S, Eckart MJ, Wendtner CM and Hallek M; GCLLSG: Prospective Evaluation of Prognostic Parameters in Early Stage Chronic Lymphocytic Leukemia (CLL): Results of the CLL1-Protocol of the German CLL Study Group (GCLLSG). Blood. 110:6252007. View Article : Google Scholar

Sinisalo M, Aittoniemi J, Koski T, Tobin G, Thunberg U, Sundström C, Rosenquist R, Käyhty H and Vilpo J: Similar Humoral Immunity Parameters in Chronic Lymphocytic Leukemia Patients Independent of VH Gene Mutation Status. Leuk Lymphoma. 45:2451–2454. 2004. View Article : Google Scholar : PubMed/NCBI

Browman G, Goldberg J, Gottlieb AJ, Preisler HD, Azarnia N, Priore RL, Brennan JK, Vogler WR, Winton EF, Miller KB, et al: The clonogenic assay as a reproducible in vitro system to study predictive parameters of treatment outcome in acute nonlymphoblastic leukemia. Am J Hematol. 15:227–235. 1983. View Article : Google Scholar : PubMed/NCBI

Wieser R, Scheideler M, Hackl H, Engelmann M, Schneckenleithner C, Hiden K, Papak C, Trajanoski Z, Sill H and Fonatsch C: microRNAs in acute myeloid leukemia: Expression patterns, correlations with genetic and clinical parameters, and prognostic significance. Genes Chromosomes Cancer. 49:193–203. 2010. View Article : Google Scholar

Valet G, Repp R, Link H, Ehninger A and Gramatzki MM; SHG-AML study group: Pretherapeutic identification of high-risk acute myeloid leukemia (AML) patients from immunophenotypic, cytogenetic, and clinical parameters. Cytometry B Clin Cytom. 53:4–10. 2003. View Article : Google Scholar : PubMed/NCBI

Valent P, Agis H, Sperr W, Sillaber C and Horny HP: Diagnostic and prognostic value of new biochemical and immunohistochemical parameters in chronic myeloid leukemia. Leuk Lymphoma. 49:635–638. 2008. View Article : Google Scholar : PubMed/NCBI

Zimm S, Reaman G, Murphy RF and Poplack DG: Biochemical parameters of mercaptopurine activity in patients with acute lymphoblastic leukemia. Cancer Res. 46:1495–1498. 1986.PubMed/NCBI

Yang JH, Kim Y, Lim J, Kim M, Oh EJ, Lee HK, Park YJ, Min WS, Cho B, Lee K and Han K: Determination of acute leukemia lineage with new morphologic parameters available in the complete blood cell count. Ann Clin Lab Sci. 44:19–26. 2014.PubMed/NCBI

Olson KC, Moosic KB, Jones MK, Larkin PMK, Olson TL, Toro MF, Fox TE, Feith DJ and Loughran TP Jr: Large granular lymphocyte leukemia serum and corresponding hematological parameters reveal unique cytokine and sphingolipid biomarkers and associations with STAT3 mutations. Cancer Med. 9:6533–6549. 2020. View Article : Google Scholar : PubMed/NCBI

Srinivasan S, Cui H, Gao Z, Liu M, Lu S, Mkandawire W, Narykov O, Sun M and Korkin D: Structural Genomics of SARS-CoV-2 indicates evolutionary conserved functional regions of viral proteins. Viruses. 12:3602020. View Article : Google Scholar : PubMed/NCBI

Hallek M: Chronic lymphocytic leukemia: 2020 update on diagnosis, risk stratification and treatment. Am J Hematol. 94:1266–1287. 2019. View Article : Google Scholar : PubMed/NCBI

Feller N, van der Pol MA, van Stijn A, Weijers GW, Westra AH, Evertse BW, Ossenkoppele GJ and Schuurhuis GJ: MRD parameters using immunophenotypic detection methods are highly reliable in predicting survival in acute myeloid leukaemia. Leukemia. 18:1380–1390. 2004. View Article : Google Scholar : PubMed/NCBI

Mohammadi Kanesbi M, Jarahi L and Keramati MR: Blood parameters in treatment with arsenic trioxide in acute promyelocytic leukemia: A systematic review. Int J Hematol Oncol Stem Cell Res. 14:130–139. 2020.PubMed/NCBI

Al-Bayaa IM, Al-Rubaie HA and Al-Shammari HH: Evaluation of hepatocyte growth factor in iraqi patients with acute myeloid leukemia: Its correlation with clinical parameters and response to induction therapy. Open Access Maced J Med Sci. 8:49–53. 2020. View Article : Google Scholar

Khazaal MS, Hamdan FB and Al-Mayah QS: Association of BCR/ABL transcript variants with different blood parameters and demographic features in Iraqi chronic myeloid leukemia patients. Mol Genet Genomic Med. 7:e8092019. View Article : Google Scholar : PubMed/NCBI

Ogasawara A, Matsushita H, Tanaka Y, Shirasugi Y, Ando K, Asai S and Miyachi H: A simple screening method for the diagnosis of chronic myeloid leukemia using the parameters of a complete blood count and differentials. Clin Chim Acta. 489:249–253. 2019. View Article : Google Scholar

Michailov Y, Lunenfeld E, Kapilushnik J, Friedler S, Meese E and Huleihel M: Acute myeloid leukemia affects mouse sperm parameters, spontaneous acrosome reaction, and fertility capacity. Int J Mol Sci. 20:2192019. View Article : Google Scholar : PubMed/NCBI

Virk H, Varma N, Naseem S, Bihana I and Sukhachev D: Utility of cell population data (VCS parameters) as a rapid screening tool for Acute Myeloid Leukemia (AML) in resource-constrained laboratories. J Clin Lab Anal. 33:e226792019. View Article : Google Scholar

Vigón L, Luna A, Galán M, Rodríguez-Mora S, Fuertes D, Mateos E, Piris-Villaespesa M, Bautista G, San José E, Rivera-Torres J, et al: Identification of immunological parameters as predictive biomarkers of relapse in patients with chronic myeloid leukemia on treatment-free remission. J Clin Med. 10:422020. View Article : Google Scholar : PubMed/NCBI

Mahmood R, Khan SA, Altaf C, Malik HS and Khadim MT: Clinicohematological parameters and outcomes in a cohort of chronic lymphocytic leukemia patients with Deletion 17p from Pakistan. Blood Res. 53:276–280. 2018. View Article : Google Scholar : PubMed/NCBI

Kim H, Ahn SI, Jhoo JW and Kim GY: Comparison of Allergic Parameters between Whey Protein Concentrate and Its Hydrolysate in Rat Basophilic Leukemia (RBL)-2H3 Cells. Korean J Food Sci Anim Resour. 38:780–793. 2018.PubMed/NCBI

Schillinger F, Sourdeau E, Boubaya M, Baseggio L, Clauser S, Cornet E, Debord C, Defour JP, Dubois F, Eveillard M, et al: A new approach for diagnosing chronic myelomonocytic leukemia using structural parameters of Sysmex XN™ analyzers in routine laboratory practice. Scand J Clin Lab Invest. 78:159–164. 2018. View Article : Google Scholar : PubMed/NCBI

Khan MI: Acute Myeloid Leukemia: Pattern of clinical and hematological parameters in a tertiary care centre. Int J Pathol. 11:58–63. 2018.

Podszywalow-Bartnicka P, Kominek A, Wolczyk M, Kolba MD, Swatler J and Piwocka K: Characteristics of live parameters of the HS-5 human bone marrow stromal cell line cocultured with the leukemia cells in hypoxia, for the studies of leukemia-stroma cross-talk. Cytometry A. 93:929–940. 2018. View Article : Google Scholar : PubMed/NCBI

Nägele V, Kratzer A, Zugmaier G, Holland C, Hijazi Y, Topp MS, Gökbuget N, Baeuerle PA, Kufer P, Wolf A and Klinger M: Changes in clinical laboratory parameters and pharmacodynamic markers in response to blinatumomab treatment of patients with relapsed/refractory ALL. Exp Hematol Oncol. 6:142017. View Article : Google Scholar : PubMed/NCBI

Lekovic D, Gotic M, Milic N, Zivojinovic B, Jovanovic J, Colovic N, Milosevic V and Bogdanovic A: Predictive parameters for imatinib failure in patients with chronic myeloid leukemia. Hematology. 22:460–466. 2017.PubMed/NCBI

Burhan I: Estimation Of Alpha-Fetoprotein (AFP) and some of biochemical parameters in leukemia patients. World J Pharm Pharma Sci. 5:2275–2283. 2017.

Elzubeir MA, Angi A, Rahoum H, Ismail IA, Mohammed ME, Yousef MM, Khair SM, Namarq Alaaldeen SA, Osman RAM, Duaa Ali AA, et al: Prognostic Significance of Immune Function Parameters (CD4, CD8 and CD4/CD8 ratio) in Sudanese Patients with Chronic Lymphocytic leukemia. Int J Multidiscip Curr Res. 4:7650–653. 2016.

Wenn K, Tomala L, Wilop S, Vankann L, Hasenbank C, Frank O, Hochhaus A, Giles FJ, Lange T, Müller MC, et al: Telomere length at diagnosis of chronic phase chronic myeloid leukemia (CML-CP) identifies a subgroup with favourable prognostic parameters and molecular response according to the ELN criteria after 12 months of treatment with nilotinib. Leukemia. 29:2402–2404. 2015. View Article : Google Scholar : PubMed/NCBI

Trendowski M, Wong V, Zoino JN, Christen TD, Gadeberg L, Sansky M and Fondy TP: Preferential enlargement of leukemia cells using cytoskeletal-directed agents and cell cycle growth control parameters to induce sensitivity to low frequency ultrasound. Cancer Lett. 360:160–170. 2015. View Article : Google Scholar : PubMed/NCBI

Huang Z, Liu WJ, Guo QL and Liu CY: Platelet parameters and expression of platelet membrane glycoprotein in childhood acute lymphoblastic leukemia. Genet Mol Res. 14:16074–16089. 2015. View Article : Google Scholar : PubMed/NCBI

Rabizadeh E, Pickholtz I, Barak M, Isakov E, Zimra Y and Froom P: Acute leukemia detection rate by automated blood count parameters and peripheral smear review. Int J Lab Hematol. 37:44–49. 2014. View Article : Google Scholar : PubMed/NCBI

Koltan S, Debski R, Koltan A, Grzesk E, Tejza B, Eljaszewicz A, Gackowska L, Kubicka M, Kolodziej B, Kurylo-Rafinska B, et al: Phenotype of NK cells determined on the basis of selected immunological parameters in children treated due to acute lymphoblastic leukemia. Medicine (Baltimore). 94:e23692015. View Article : Google Scholar : PubMed/NCBI

Aljamaan K, Aljumah TK, Aloraibi S, Absar M and Iqbal Z: Low Frequency of ETV6-RUNX1 (t 12; 21) in Saudi Arabian pediatric acute lymphoblastic leukemia patients: Association with clinical parameters and early remission. Asian Pac J Cancer Prev. 16:7523–7527. 2015. View Article : Google Scholar : PubMed/NCBI

Rafiq N, Iqbal T, Shahid M and Muhammad F: Hematological and Biochemical Parameters in Pakistani Chronic Lymphoblastic Leukemia Patients. Pak J Life Soc Sci. 12:16–19. 2014.

Pietras W, Chaber R, Pela H, Trybucka K and Chybicka A: The recovery of immune system parameters in children following lymphoblastic leukemia therapy-preliminary report. Adv Clin Exp Med. 23:97–102. 2014. View Article : Google Scholar : PubMed/NCBI

Deschler B, Ihorst G, Platzbecker U, Germing U, März E, de Figuerido M, Fritzsche K, Haas P, Salih HR, Giagounidis A, et al: Parameters detected by geriatric and quality of life assessment in 195 older patients with myelodysplastic syndromes and acute myeloid leukemia are highly predictive for outcome. Haematologica. 98:208–216. 2013. View Article : Google Scholar :

Mauro MJ, Cortes JE, Kim DW, Pinilla-Ibarz J, Coutre PI, Paquette R, Chuah C, Nicolini FE, Apperley J, Khoury HJ, et al: Multivariate Analyses of the Clinical and Molecular Parameters Associated with Efficacy and Safety in Patients with Chronic Myeloid Leukemia (CML) and Philadelphia Chromosome-Positive Acute Lymphoblastic Leukemia (Ph+ ALL) Treated with Ponatinib in the PACE Trial. Blood. 120:37472012. View Article : Google Scholar

Dong HJ, Miao KR, Qiao C, Zhuang Y, Shen WY, Hong M, Fan L, Liu P, Xu W and Li JY: Polymorphisms and haplotypes in multidrug resistance 1 gene are not associated with chronic lymphocytic leukemia susceptibility and prognostic parameters of chronic lymphocytic leukemia in Chinese population. Leuk Lymphoma. 52:1003–1009. 2011. View Article : Google Scholar : PubMed/NCBI

Onida F, Kantarjian HM, Smith TL, Ball G, Keating MJ, Estey EH, Glassman AB, Albitar M, Kwari MI and Beran M: Prognostic factors and scoring systems in chronic myelomonocytic leukemia: A retrospective analysis of 213 patients. Blood. 99:840–849. 2002. View Article : Google Scholar : PubMed/NCBI

Sagatys EM and Zhang L: Clinical and laboratory prognostic indicators in chronic lymphocytic leukemia. Cancer Control. 19:18–25. 2012. View Article : Google Scholar

Jinlong S, Lin F, Yonghui L, Li Y and Weidong W: Identification of let-7a-2-3p or/and miR-188-5p as prognostic biomarkers in cytogenetically normal acute myeloid leukemia. PLoS One. 10:e01180992015. View Article : Google Scholar : PubMed/NCBI

Marcucci G, Mrózek K, Radmacher MD, Garzon R and Bloomfield CD: The prognostic and functional role of microRNAs in acute myeloid leukemia. Blood. 117:1121–1129. 2011. View Article : Google Scholar :

Labib HA, Elantouny NG, Ibrahim NF and Alnagar AA: Upregulation of microRNA-21 is a poor prognostic marker in patients with childhood B cell acute lymphoblastic leukemia. Hematology. 22:392–397. 2017. View Article : Google Scholar : PubMed/NCBI

Neaga A, Bagacean C, Tempescul A, Jimbu L, Mesaros O, Blag C, Tomuleasa C, Bocsan C, Gaman M and Zdrenghea M: MicroRNAs associated with a good prognosis of acute myeloid leukemia and their effect on macrophage polarization. Front Immunol. 11:5829152021. View Article : Google Scholar : PubMed/NCBI

Ciesielska M, Orzechowska B, Gamian A and Kazanowska B: Epidemiology of childhood acute leukemias. Postep Hig Med Dosw. 78:22–36. 2024.In Polish. View Article : Google Scholar

Mari JF, de Miranda ÉJFP, Mendes-Correa MC, Chow FC and Vidal JE: Progressive multifocal leukoencephalopathy and spectrum of predisposing conditions: A 20-year retrospective cohort study in a tertiary center in São Paulo, Brazil. Neurol Sci. Jul 15–2024.Epub ahead of print. View Article : Google Scholar

Aureli A, Marziani B, Venditti A, Sconocchia T and Sconocchia G: Acute Lymphoblastic Leukemia Immunotherapy Treatment: Now, Next, and Beyond. Cancers (Basel). 15:33462023. View Article : Google Scholar : PubMed/NCBI

Giannakaki AG, Giannakaki MN, Oikonomou E, Nikolettos K, Bothou A, Kotanidou S, Andreou S, Kritsotaki N, Nalmpanti T, Spanoudakis E, et al: Leukemia in pregnancy: Diagnosis and therapeutic approach (Review). Mol Clin Oncol. 21:792024. View Article : Google Scholar : PubMed/NCBI

van der Straten L, Levin MD, Dinnessen MAW, Visser O, Posthuma EFM, Doorduijn JK, Langerak AW, Kater AP and Dinmohamed AG: Risk of second primary malignancies in patients with chronic lymphocytic leukemia: A population-based study in the Netherlands, 1989-2019. Blood Cancer J. 13:152023. View Article : Google Scholar : PubMed/NCBI

Jain M, Rai A, Kushwaha R, Yadav G, Mishra S, Verma SP, Singh US, Tripathi AK and Kumar A: A cross sectional study on T Cells and Subsets in Chronic Lymphocytic Leukemia and their Association with Clinical Phenotype. Indian J Hematol Blood Transfus. 37:563–568. 2021. View Article : Google Scholar : PubMed/NCBI

Qurat Ul Ain, Akbar S, Gull S, Hussain M and Ayesha N: Leukemia detection using machine and deep learning through microscopic images-A review. Studies in Big Data. Jul 7–2022.Epub ahead of print.

Alcazer V, Le Meur G, Roccon M, Barriere S, Le Calvez B, Badaoui B, Spaeth A, Kosmider O, Freynet N, Eveillard M, et al: Evaluation of a machine-learning model based on laboratory parameters for the prediction of acute leukaemia subtypes: A multicentre model development and validation study in France. Lancet Digit Health. 6:e323–e333. 2024. View Article : Google Scholar : PubMed/NCBI

Vineela M, Reddy GDS, Karthik G, Muthukumaran N and Al Deen SH: Classification of Leukemia White Blood Cell Cancer. In: 2024 International Conference on Inventive Computation Technologies (ICICT); pp. 1233–1236. 2024

Papadakis S, Liapis I, Papadhimitriou SI, Spanoudakis E, Kotsianidis I and Liapis K: Approach to acute myeloid leukemia with increased eosinophils and basophils. J Clin Med. 13:8762024. View Article : Google Scholar : PubMed/NCBI

Ahmed MR and Anis M: In vitro regeneration and the antioxidant enzymatic system on acclimatization of micropropagated Vitex trifolia L. Agroforest Syst. 88:437–447. 2014. View Article : Google Scholar

Li H, Xu C, Xin B, Zheng C, Zhao Y, Hao K, Wang Q, Wahl RL, Wang X and Zhou Y: 18F-FDG PET/CT radiomic analysis with machine learning for identifying bone marrow involvement in the patients with suspected relapsed acute leukemia. Theranostics. 9:4730–4739. 2019. View Article : Google Scholar :

Döhner H, Estey E, Grimwade D, Amadori S, Appelbaum FR, Büchner T, Dombret H, Ebert BL, Fenaux P, Larson RA, et al: Diagnosis and management of AML in adults: 2017 ELN recommendations from an international expert panel. Blood. 129:424–447. 2017. View Article : Google Scholar :

Swerdlow SH, Campo E, Harris NL, Jaffe ES, Pileri SA, Stein H and Thiele J: WHO Classification of Tumours of Haematopoietic and Lymphoid Tissues. WHO Classification of Tumours; 2017

Tallman MS, Wang ES, Altman JK, Appelbaum FR, Bhatt VR, Bixby D, Coutre SE, De Lima M, Fathi AT, Fiorella M, et al: Acute Myeloid Leukemia, Version 3.2019, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw. 17:721–749. 2019. View Article : Google Scholar : PubMed/NCBI

Jondreville L, Krzisch D, Chapiro E and Nguyen-Khac F: The complex karyotype and chronic lymphocytic leukemia: prognostic value and diagnostic recommendations. Am J Hematol. 95:1361–1367. 2020. View Article : Google Scholar : PubMed/NCBI

Andreieva SV, Korets KV, Tsyapka OM and Skorokhod IM: Comparative Characteristics of Abnormal Karyotypes in Secondary Acute Leukemia. Cytol Genet. 58:292–299. 2024. View Article : Google Scholar

Olde Nordkamp L, Mellink C, van der Schoot E and van den Berg H: Karyotyping FISH, and PCR in acute lymphoblastic leukemia: competing or complementary diagnostics? J Pediatr Hematol Oncol. 31:930–935. 2009. View Article : Google Scholar : PubMed/NCBI

Camuset M, Le Calvez B, Theisen O, Godon C, Grain A, Thomas C, Couec ML, Béné MC, Rialland F and Eveillard M: Added value of molecular karyotype in childhood acute lymphoblastic leukemia. Cancer Innov. 2:513–523. 2023. View Article : Google Scholar : PubMed/NCBI

Kibler CE and Chabot-Richards DS: Molecular Pathology of Leukemia. Molecular Surgical Pathology. Cheng L, Netto GJ and Eble JN: Springer International Publishing; Cham: pp. 681–709. 2023, View Article : Google Scholar

Bayani J and Squire JA: Preparation of cytogenetic specimens from tissue samples. Curr Protoc Cell Biol. Chapter 22: Unit 22.2. 2004. View Article : Google Scholar

Stölzel F, Mohr B, Kramer M, Oelschlägel U, Bochtler T, Berdel WE, Kaufmann M, Baldus CD, Schäfer-Eckart K, Stuhlmann R, et al: Karyotype complexity and prognosis in acute myeloid leukemia. Blood Cancer J. 6:e3862016. View Article : Google Scholar : PubMed/NCBI

Kiefer Y, Schulte C, Tiemann M and Bullerdiek J: Chronic lymphocytic leukemia-associated chromosomal abnormalities and miRNA deregulation. Appl Clin Genet. 5:21–28. 2012.PubMed/NCBI

Alhourani E, Rincic M, Othman MA, Pohle B, Schlie C, Glaser A and Liehr T: Comprehensive chronic lymphocytic leukemia diagnostics by combined multiplex ligation dependent probe amplification (MLPA) and interphase fluorescence in situ hybridization (iFISH). Mol Cytogenet. 7:792014. View Article : Google Scholar : PubMed/NCBI

Han X, Jin C, Zheng G, Li Y, Wang Y, Zhang E, Zhu H and Cai Z: Acute myeloid leukemia with CPSF6-RARG fusion resembling acute promyelocytic leukemia with extramedullary infiltration. Ther Adv Hematol. 12:20406207209769842021. View Article : Google Scholar : PubMed/NCBI

Gupta V, Shariff M, Bajwa R, Patel I, Ayyad HA, Levitt MJ, Mencel PJ and Hossain MA: Acute myeloid leukemia acquiring promyelocytic leukemia-retinoic acid receptor alpha at relapse. World J Oncol. 10:153–156. 2019. View Article : Google Scholar : PubMed/NCBI

Hochhaus A, Baccarani M, Silver RT, Schiffer C, Apperley JF, Cervantes F, Clark RE, Cortes JE, Deininger MW, Guilhot F, et al: European LeukemiaNet 2020 recommendations for treating chronic myeloid leukemia. Leukemia. 34:966–984. 2020. View Article : Google Scholar : PubMed/NCBI

Danylesko I, Jacoby E, Yerushalmi R, Shem-Tov N, Besser MJ, Vernitsky H, Marcu-Malina V, Shimoni A, Avigdor A and Nagler A: Remission of acute myeloid leukemia with t(8;21) following CD19 CAR T-cells. Leukemia. 34:1939–1942. 2020. View Article : Google Scholar : PubMed/NCBI

Bellesi S, Schiaffini G, Contegiacomo A, Maiolo E, Iacovelli C, Malafronte R, D'Innocenzo S, Alma E, Bellisario F, Viscovo M, et al: Enhancing lymphoma diagnosis on core needle biopsies: Integrating immunohistochemistry with flow cytometry. Cytometry B Clin Cytom. Jun 14–2024.Epub ahead of print. View Article : Google Scholar : PubMed/NCBI

Kurosawa S and Nakazato T: Immunohistochemical differentiation of extramedullary acute myeloid leukemia from blastic plasmacytoid dendritic cell neoplasm. Int J Hematol. 120:391–393. 2024. View Article : Google Scholar : PubMed/NCBI

Hisada Y, Archibald SJ, Bansal K, Chen Y, Dai C, Dwarampudi S, Balas N, Hageman L, Key NS, Bhatia S, et al: Biomarkers of bleeding and venous thromboembolism in patients with acute leukemia. J Thromb Haemost. 22:1984–1996. 2024. View Article : Google Scholar : PubMed/NCBI

De Coninck S, De Smedt R, Lintermans B, Reunes L, Kosasih HJ, Reekmans A, Brown LM, Van Roy N, Palhais B, Roels J, et al: Targeting hyperactive platelet-derived growth factor receptor-β signaling in T-cell acute lymphoblastic leukemia and lymphoma. Haematologica. 109:1373–1384. 2024.

Elliott MA and Tefferi A: Chronic neutrophilic leukemia: 2018 update on diagnosis, molecular genetics and management. Am J Hematol. 93:578–587. 2018. View Article : Google Scholar : PubMed/NCBI

Fiala GJ and Minguet S: Caveolin-1: The Unnoticed Player in TCR and BCR Signaling. Adv Immunol. 137:83–133. 2018. View Article : Google Scholar : PubMed/NCBI

Apostolopoulos A, Symeonidis A and Zoumbos N: Prognostic significance of immune function parameters in patients with chronic lymphocytic leukaemia. Eur J Haematol. 44:39–44. 1990. View Article : Google Scholar : PubMed/NCBI

Nardini G, Leopardi S and Bielli M: Clinical Hematology in Reptilian Species. Vet Clin North Am Exot Anim Pract. 16:1–30. 2013. View Article : Google Scholar : PubMed/NCBI

Oliveira ALCSL, Zerillo L, Cruz LJ, Schomann T, Chan AB, de Carvalho TG, Souza SVP, Araújo AA, de Geus-Oei LF and de Araújo Júnior RF: Maximizing the potency of oxaliplatin coated nanoparticles with folic acid for modulating tumor progression in colorectal cancer. Mater Sci Eng C Mater Biol Appl. 120:1116782021. View Article : Google Scholar : PubMed/NCBI

Belov L, Huang P, Barber N, Mulligan SP and Christopherson RI: Identification of repertoires of surface antigens on leukemias using an antibody microarray. Proteomics. 3:2147–2154. 2003. View Article : Google Scholar : PubMed/NCBI

Hömig-Hölzel C and Savola S: Multiplex Ligation-dependent Probe Amplification (MLPA) in Tumor Diagnostics and Prognostics. Diagn Mol Pathol. 21:189–206. 2012. View Article : Google Scholar : PubMed/NCBI

Ningombam A, Verma D, Kumar R, Singh J, Ali MS, Pandey AK, Singh I, Bakhshi S, Sharma A, Pushpam D, et al: Prognostic relevance of NPM1, CEBPA, and FLT3 mutations in cytogenetically normal adult AML patients. Am J Blood Res. 13:28–43. 2023.PubMed/NCBI

Dietrich P, Gaza A, Wormser L, Fritz V, Hellerbrand C and Bosserhoff AK: Neuroblastoma RAS Viral Oncogene Homolog (NRAS) is a novel prognostic marker and contributes to sorafenib resistance in hepatocellular carcinoma. Neoplasia. 21:257–268. 2019. View Article : Google Scholar : PubMed/NCBI

Li S, Mason C and Melnick A: Genetic and epigenetic heterogeneity in acute myeloid leukemia. Curr Opin Genet Dev. 36:100–106. 2016. View Article : Google Scholar : PubMed/NCBI

Döhner H, Estey EH, Amadori S, Appelbaum FR, Büchner T, Burnett AK, Dombret H, Fenaux P, Grimwade D, Larson RA, et al: Diagnosis and management of acute myeloid leukemia in adults: Recommendations from an international expert panel, on behalf of the European LeukemiaNet. Blood. 115:453–474. 2010. View Article : Google Scholar

Menssen AJ and Walter MJ: Genetics of progression from MDS to secondary leukemia. Blood. 136:50–60. 2020. View Article : Google Scholar : PubMed/NCBI

Bond J, Touzart A, Leprêtre S, Graux C, Bargetzi M, Lhermitte L, Hypolite G, Leguay T, Hicheri Y, Guillerm G, et al: DNMT3A mutation is associated with increased age and adverse outcome in adult T-cell acute lymphoblastic leukemia. Haematologica. 104:1617–1625. 2019. View Article : Google Scholar : PubMed/NCBI

Stone RM: The difficult problem of acute myeloid leukemia in the older adult. CA Cancer J Clin. 52:363–371. 2002. View Article : Google Scholar : PubMed/NCBI

Appelbaum FR, Gundacker H, Head DR, Slovak ML, Willman CL, Godwin JE, Anderson JE and Petersdorf SH: Age and acute myeloid leukemia. Blood. 107:3481–3485. 2006. View Article : Google Scholar : PubMed/NCBI

Manescu P, Narayanan P, Bendkowski C, Elmi M, Claveau R, Pawar V, Brown BJ, Shaw M, Rao A and Fernandez-Reyes D: Detection of acute promyelocytic leukemia in peripheral blood and bone marrow with annotation-free deep learning. Sci Rep. 13:25622023. View Article : Google Scholar : PubMed/NCBI

Verma D, Yadav R, Ahirwar R and Meena P: Importance of bone marrow examination in cases of pancytopenia: A morphological study in a tertiary care center. Asian J Med Sci. 15:202–205. 2024. View Article : Google Scholar

Rivera D, Cui W, Gao J, Peker D, Zhang QY, Dewar R, Qiu L, Konoplev S, Hu Z, Sasaki K, et al: Aleukemic chronic myeloid leukemia without neutrophilia and thrombocytosis: A Report From the BCR::ABL1 Pathology Group. Mod Pathol. 37:1004062024. View Article : Google Scholar

Terwilliger T and Abdul-Hay M: Acute lymphoblastic leukemia: A comprehensive review and 2017 update. Blood Cancer J. 7:e5772017. View Article : Google Scholar : PubMed/NCBI

Jabbour E and Kantarjian H: Chronic myeloid leukemia: 2020 update on diagnosis, therapy and monitoring. Am J Hematol. 95:691–709. 2020. View Article : Google Scholar : PubMed/NCBI

Troussard X, Maître E and Cornet E: Hairy cell leukemia 2022: Update on diagnosis, risk-stratification, and treatment. Am J Hematol. 97:226–236. 2022. View Article : Google Scholar

Wood ME: Chapter 57-Oncologic Emergencies (Including Hypercalcemia). Critical Care Secrets (Fifth Edition). Parsons PE and Wiener-Kronish JP: Mosby; Philadelphia, PA: pp. 404–409. 2013, View Article : Google Scholar

Kang SH, Kim HK, Ham CK, Lee DS and Cho HI: Comparison of four hematology analyzers, CELL-DYN Sapphire, ADVIA 120, Coulter LH 750, and Sysmex XE-2100, in terms of clinical usefulness. Int J Lab Hematol. 30:480–486. 2008. View Article : Google Scholar : PubMed/NCBI

He G, Jiang Z, Xue S, Sun X and Wang W: Expression of LDH and CEA in serum in the process of targeted therapy of lung adenocarcinoma and the association between them and prognosis. Oncol Lett. 17:4550–4556. 2019.PubMed/NCBI

Oliveira LC, Romano LG, Prado-Junior BP, Covas DT, Rego EM and De Santis GC: Outcome of acute myeloid leukemia patients with hyperleukocytosis in Brazil. Med Oncol. 27:1254–1259. 2010. View Article : Google Scholar

Zografos E, Zagouri F, Kalapanida D, Zakopoulou R, Kyriazoglou A, Apostolidou K, Gazouli M and Dimopoulos MA: Prognostic role of microRNAs in breast cancer: A systematic review. Oncotarget. 10:7156–7178. 2019. View Article : Google Scholar

Davis-Dusenbery BN and Hata A: MicroRNA in Cancer: The Involvement of Aberrant MicroRNA Biogenesis Regulatory Pathways. Genes Cancer. 1:1100–1114. 2010. View Article : Google Scholar

Lee EJ, Gusev Y, Jiang J, Nuovo GJ, Lerner MR, Frankel WL, Morgan DL, Postier RG, Brackett DJ and Schmittgen TD: Expression profiling identifies microRNA signature in pancreatic cancer. Int J Cancer. 120:1046–1054. 2007. View Article : Google Scholar

Garzon R, Garofalo M, Martelli MP, Briesewitz R, Wang L, Fernandez-Cymering C, Volinia S, Liu CG, Schnittger S, Haferlach T, et al: Distinctive microRNA signature of acute myeloid leukemia bearing cytoplasmic mutated nucleophosmin. Proc Natl Acad Sci USA. 105:3945–3950. 2008. View Article : Google Scholar : PubMed/NCBI

Calin GA, Dumitru CD, Shimizu M, Bichi R, Zupo S, Noch E, Aldler H, Rattan S, Keating M, Rai K, et al: Frequent deletions and down-regulation of micro-RNA genes miR15 and miR16 at 13q14 in chronic lymphocytic leukemia. Proc Natl Acad Sci USA. 99:15524–15529. 2002. View Article : Google Scholar

Mi S, Lu J, Sun M, Li Z, Zhang H, Neilly MB, Wang Y, Qian Z, Jin J, Zhang Y, et al: MicroRNA expression signatures accurately discriminate acute lymphoblastic leukemia from acute myeloid leukemia. Proc Natl Acad Sci USA. 104:19971–19976. 2007. View Article : Google Scholar : PubMed/NCBI

Marcucci G, Maharry K, Radmacher MD, Mrózek K, Vukosavljevic T, Paschka P, Whitman SP, Langer C, Baldus CD, Liu CG, et al: Prognostic significance of, and gene and microRNA expression signatures associated with, CEBPA mutations in cytogenetically normal acute myeloid leukemia with high-risk molecular features: A Cancer and Leukemia Group B Study. J Clin Oncol. 26:5078–5087. 2008. View Article : Google Scholar : PubMed/NCBI

Li Z, Lu J, Sun M, Mi S, Zhang H, Luo RT, Chen P, Wang Y, Yan M, Qian Z, et al: Distinct microRNA expression profiles in acute myeloid leukemia with common translocations. Proc Natl Acad Sci USA. 105:15535–15540. 2008. View Article : Google Scholar : PubMed/NCBI

Abbott BL, Rubnitz JE, Tong X, Srivastava DK, Pui CH, Ribeiro RC and Razzouk BI: Clinical significance of central nervous system involvement at diagnosis of pediatric acute myeloid leukemia: A single institution's experience. Leukemia. 17:2090–2096. 2003. View Article : Google Scholar : PubMed/NCBI

Lin KI, Tam CS, Keating MJ, Wierda WG, O'Brien S, Lerner S, Coombes KR, Schlette E, Ferrajoli A, Barron LL, et al: Relevance of the immunoglobulin VH somatic mutation status in patients with chronic lymphocytic leukemia treated with fludarabine, cyclophosphamide, and rituximab (FCR) or related chemoimmunotherapy regimens. Blood. 113:3168–3171. 2009. View Article : Google Scholar

Rai KR, Sawitsky A, Cronkite EP, Chanana AD, Levy RN and Pasternack BS: Clinical staging of chronic lymphocytic leukemia. Blood. 46:219–234. 1975. View Article : Google Scholar : PubMed/NCBI

Binet JL, Auquier A, Dighiero G, Chastang C, Piguet H, Goasguen J, Vaugier G, Potron G, Colona P, Oberling F, et al: A new prognostic classification of chronic lymphocytic leukemia derived from a multivariate survival analysis. Cancer. 48:198–206. 1981. View Article : Google Scholar : PubMed/NCBI

Muñoz L, Lasa A, Carricondo MT, Hernández C, Ubeda J and Nomdedéu JF: Comparative analysis of ZAP-70 expression and Ig VH mutational status in B-cell chronic lymphocytic leukemia. Cytometry B Clin Cytom. 72:96–102. 2006.PubMed/NCBI

Michels E, Vandesompele J, De Preter K, Hoebeeck J, Vermeulen J, Schramm A, Molenaar JJ, Menten B, Marques B, Stallings RL, et al: ArrayCGH-based classification of neuroblastoma into genomic subgroups. Genes Chromosomes Cancer. 46:1098–1108. 2007. View Article : Google Scholar : PubMed/NCBI

Daver N, Schlenk RF, Russell NH and Levis MJ: Targeting FLT3 mutations in AML: Review of current knowledge and evidence. Leukemia. 33:299–312. 2019. View Article : Google Scholar : PubMed/NCBI

Sakaguchi M, Yamaguchi H, Najima Y, Usuki K, Ueki T, Oh I, Mori S, Kawata E, Uoshima N, Kobayashi Y, et al: Prognostic impact of low allelic ratio FLT3-ITD and NPM1 mutation in acute myeloid leukemia. Blood Adv. 2:2744–2754. 2018. View Article : Google Scholar : PubMed/NCBI

Kennedy VE and Smith CC: FLT3 mutations in acute myeloid leukemia: key concepts and emerging controversies. Front Oncol. 10:6128802020. View Article : Google Scholar

Basso G, Veltroni M, Valsecchi MG, Dworzak MN, Ratei R, Silvestri D, Benetello A, Buldini B, Maglia O, Masera G, et al: Risk of relapse of childhood acute lymphoblastic leukemia is predicted by flow cytometric measurement of residual disease on day 15 bone marrow. J Clin Oncol. 27:5168–5174. 2009. View Article : Google Scholar : PubMed/NCBI

Bader P, Kreyenberg H, Henze GH, Eckert C, Reising M, Willasch A, Barth A, Borkhardt A, Peters C, Handgretinger R, et al: Prognostic value of minimal residual disease quantification before allogeneic stem-cell transplantation in relapsed childhood acute lymphoblastic leukemia: The ALL-REZ BFM Study Group. J Clin Oncol. 27:377–384. 2009. View Article : Google Scholar

Jongen-Lavrencic M, Grob T, Hanekamp D, Kavelaars FG, Al Hinai A, Zeilemaker A, Erpelinck-Verschueren CAJ, Gradowska PL, Meijer R, Cloos J, et al: Molecular Minimal Residual Disease in Acute Myeloid Leukemia. N Engl J Med. 378:1189–1199. 2018. View Article : Google Scholar : PubMed/NCBI

Vosberg S and Greif PA: Clonal evolution of acute myeloid leukemia from diagnosis to relapse. Genes Chromosomes Cancer. 58:839–849. 2019. View Article : Google Scholar : PubMed/NCBI

Lussana F, Caprioli C, Stefanoni P, Pavoni C, Spinelli O, Buklijas K, Michelato A, Borleri G, Algarotti A, Micò C, et al: Molecular detection of minimal residual disease before allogeneic stem cell transplantation predicts a high incidence of early relapse in adult patients with NPM1 positive acute myeloid leukemia. Cancers (Basel). 11:14552019. View Article : Google Scholar : PubMed/NCBI

Balatzenko G, Vundinti BR and Margarita G: Correlation between the type of bcr-abl transcripts and blood cell counts in chronic myeloid leukemia-a possible influence of mdr1 gene expression. Hematol Rep. 3:e32011. View Article : Google Scholar

Brinkmann U: Functional Polymorphisms of the Human Multidrug Resistance (MDR1) Gene: Correlation with P glycoprotein Expression and Activity in vivo. Novartis Found Symp. 243:207–10; discussion 207-212. 231-5. 2002. View Article : Google Scholar : PubMed/NCBI

Vendrik CP, Bergers JJ, De Jong WH and Steerenberg PA: Resistance to cytostatic drugs at the cellular level. Cancer Chemother Pharmacol. 29:413–429. 1992. View Article : Google Scholar : PubMed/NCBI

Vandyke K, Fitter S, Dewar AL, Hughes TP and Zannettino ACW: Dysregulation of bone remodeling by imatinib mesylate. Blood. 115:766–774. 2010. View Article : Google Scholar

Druker BJ, Guilhot F, O'Brien SG, Gathmann I, Kantarjian H, Gattermann N, Deininger MW, Silver RT, Goldman JM, Stone RM, et al: Five-Year follow-up of patients receiving imatinib for chronic myeloid leukemia. N Engl J Med. 355:2408–2417. 2006. View Article : Google Scholar : PubMed/NCBI

Millot F, Baruchel A, Guilhot J, Petit A, Leblanc T, Bertrand Y, Mazingue F, Lutz P, Vérité C, Berthou C, et al: Imatinib is effective in children with previously untreated chronic myelogenous leukemia in early chronic phase: Results of the French National Phase IV Trial. J Clin Oncol. 29:2827–2832. 2011. View Article : Google Scholar : PubMed/NCBI

Ebnöether M, Stentoft J, Ford J, Buhl L and Gratwohl A: Cerebral oedema as a possible complication of treatment with imatinib. Lancet. 359:1751–1752. 2002. View Article : Google Scholar : PubMed/NCBI

Mughal TI and Schrieber A: Principal long-term adverse effects of imatinib in patients with chronic myeloid leukemia in chronic phase. Biologics. 4:315–323. 2010.

Suttorp M and Millot F: Treatment of pediatric chronic myeloid leukemia in the year 2010: Use of tyrosine kinase inhibitors and stem-cell transplantation. Hematology Am Soc Hematol Educ Program. 2010:368–376. 2010. View Article : Google Scholar