Literature DB >> 28451418

Southwestern Oncology Group pretreatment risk criteria as predictive or prognostic factors in acute myeloid leukemia.

Ana Espirito Santo1,2, Sergio Chacim1, Isabel Ferreira1, Luis Leite1, Claudia Moreira1, Dulcineia Pereira1, Margarida Dantas1, Marta Nunes1, Luisa Viterbo1, Ilidia Moreira1, Angelo Martins1, Isabel Oliveira1, Nelson Domingues1, Jose Mariz1, Rui Medeiros3,4,5,6,7.   

Abstract

Acute myeloid leukemia (AML) is a clonal hematological malignant condition and the implications of pretreatment risk criteria as predictive or prognostic factors are constantly under evaluation. With this study, the authors' intent was to characterize AML patients and to evaluate the clinical outcome associated with Southwestern Oncology Group (SWOG) coding pretreatment risk criteria/cytogenetic score. Between 2002 and 2010, 225 patients were diagnosed with AML at the Portuguese Institute of Oncology (Porto, Portugal). From this patient group, 128 patients aged <65 years were selected. The patients were treated using a combination of cytarabine and anthracycline, with the addition of cyclosporine when bone marrow dysplasia was observed. A median survival of 24 months was observed in this group. The patients were divided in subgroups according to the SWOG pretreatment risk criteria. We observed a statistically significant association of non-favorable SWOG coding with female gender [P=0.025; risk ratio (RR)=3.632, 95% confidence interval (CI): 1.113-11.852], indication for allogeneic bone marrow transplantation (P=0.023, RR=1.317, 95% CI: 1.184-1.465), complete response achievement (P=0.013, RR=1.385, 95% CI: 11.232-1.556) and relapse (P=0.048, RR=3.181, 95% CI: 10.966-10.478). Furthermore, SWOG pretreatment risk criteria also significantly affected global overall survival (OS; P=0.003) and OS at 5 years (P=0.001). A multivariate Cox regression analysis supported response to induction therapy (3-year OS: P=0.011, RR=0.385, 95% CI: 10.184-0.806; 5-year OS: P=0.012, RR=0.388, 95% CI: 10.597-1.994), consolidation (3-year OS: P=0.005, RR=0.328, 95% CI: 0.150-0.720; 5-year OS: P=0.002, RR=0.308, 95% CI: 0.144-0.657) and the diagnosis of therapy-related aml (3-year OS: P=0.016, RR=2.756, 95% CI: 0.486-1.281; 5-year OS: P=0.031, RR=2.369, 95% CI: 1.081-5.189) as prognostic factors, but this was not confirmed for SWOG pretreatment risk criteria. Therefore, we concluded that the reproducibility of the application of the SWOG pretreatment risk criteria may not be available as a prognostic factor in every acute leukemia population. However, its application as a predictive factor of response has been confirmed in our population.

Entities:  

Keywords:  acute myeloid leukemia; cytogenetics; outcome; prognosis; treatment

Year:  2017        PMID: 28451418      PMCID: PMC5403447          DOI: 10.3892/mco.2017.1134

Source DB:  PubMed          Journal:  Mol Clin Oncol        ISSN: 2049-9450


  34 in total

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Journal:  Biomed Pharmacother       Date:  2012-02-22       Impact factor: 6.529

2.  Use of the International System for Human Cytogenetic Nomenclature (ISCN).

Authors:  Juan Ramon Gonzalez Garcia; Juan Pablo Meza-Espinoza
Journal:  Blood       Date:  2006-12-01       Impact factor: 22.113

3.  Comparing apples and oranges in normal karyotype acute myeloid leukemia.

Authors:  Bruno C Medeiros
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4.  FLT3 mutations in normal karyotype acute myeloid leukemia in first complete remission treated with autologous peripheral blood stem cell transplantation.

Authors:  G Yoshimoto; K Nagafuji; T Miyamoto; N Kinukawa; K Takase; T Eto; K Kato; S Hayashi; T Kamimura; Y Ohno; S Taniguchi; M Harada
Journal:  Bone Marrow Transplant       Date:  2005-12       Impact factor: 5.483

5.  A multicenter trial of cytarabine plus idarubicin or daunorubicin as induction therapy for adult nonlymphocytic leukemia.

Authors:  P H Wiernik; D C Case; P O Periman; Z A Arlin; A B Weitberg; P S Ritch; M B Todd
Journal:  Semin Oncol       Date:  1989-02       Impact factor: 4.929

6.  Clinical utility of epidermal growth factor receptor expression for selecting patients with advanced non-small cell lung cancer for treatment with erlotinib.

Authors:  Gary M Clark; Denni M Zborowski; Jennifer L Culbertson; Marlo Whitehead; Michelle Savoie; Lesley Seymour; Frances A Shepherd
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Review 7.  The World Health Organization (WHO) classification of the myeloid neoplasms.

Authors:  James W Vardiman; Nancy Lee Harris; Richard D Brunning
Journal:  Blood       Date:  2002-10-01       Impact factor: 22.113

8.  Risk assessment in patients with acute myeloid leukemia and a normal karyotype.

Authors:  Marianne Bienz; Madleina Ludwig; Elisabeth Oppliger Leibundgut; Beatrice U Mueller; Daniel Ratschiller; Max Solenthaler; Martin F Fey; Thomas Pabst
Journal:  Clin Cancer Res       Date:  2005-02-15       Impact factor: 12.531

9.  Cytarabine plus idarubicin or daunorubicin as induction and consolidation therapy for previously untreated adult patients with acute myeloid leukemia.

Authors:  P H Wiernik; P L Banks; D C Case; Z A Arlin; P O Periman; M B Todd; P S Ritch; R E Enck; A B Weitberg
Journal:  Blood       Date:  1992-01-15       Impact factor: 22.113

10.  Proposals for the classification of the acute leukaemias. French-American-British (FAB) co-operative group.

Authors:  J M Bennett; D Catovsky; M T Daniel; G Flandrin; D A Galton; H R Gralnick; C Sultan
Journal:  Br J Haematol       Date:  1976-08       Impact factor: 6.998

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  1 in total

1.  Prognostic effect of gender on outcome of treatment for adults with acute myeloid leukaemia.

Authors:  Peter H Wiernik; Zhuoxin Sun; Larry D Cripe; Jacob M Rowe; Hugo F Fernandez; Selina M Luger; Hillard M Lazarus; Elisabeth M Paietta; Martin S Tallman; Mark R Litzow
Journal:  Br J Haematol       Date:  2021-06-17       Impact factor: 8.615

  1 in total

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