David C Yao1, Marcos de Lima2. 1. University Hospitals Case Medical Center, Cleveland, United States; Seidman Cancer Center and Case Western Reserve University, Cleveland, United States. 2. University Hospitals Case Medical Center, Cleveland, United States; Seidman Cancer Center and Case Western Reserve University, Cleveland, United States. Electronic address: Marcos.deLima@uhhospitals.org.
In this issue of the Revista Brasileira de Hematologia e Hemoterapia, Duarte et al. present data on the role of p53 protein expression and prognosis of patients with low-risk myelodysplastic syndrome (MDS). In a cohort of 38 patients, the authors demonstrated an association between mutant p53 protein expression and shortened survival.MDS is a clinically heterogeneous disorder. Patients with this condition demonstrate clonal hematopoietic expansion, cytopenias, myelodysplasia, ineffective hematopoiesis and an increased propensity to develop acute myeloid leukemia. Not surprisingly, prognosis is related to severity of cytopenias, presence of cytogenetic abnormalities and clonal evolution demonstrated by blast counts, and other ‘traditional’ prognostic elements. There is heterogeneity even among patients diagnosed with lower-risk disease, since a subset of these patients have more aggressive disease. Recent efforts have demonstrated that several molecular parameters linked to the pathophysiology of MDS may affect overall survival.3, 4 Thus, identification of additional prognosticators that more accurately characterize subgroups and their outcomes are essential.Current understanding of the pathophysiology of MDS indicates that there are founding mutations in a hematopoietic stem cell that ultimately offer a survival advantage to the affected cell(s). These mutations occur in genes encoding protein products that are involved typically in either RNA splicing or DNA methylation, which in turn leads to genomic instability and further mutations. The survival advantage in mutated cells usually leads to a dominant bone marrow progenitor clone. This clone can subsequently acquire additional driver mutations that lead to the development of multiple subclonal populations. The accumulation and combination of these genetic lesions likely contribute to the phenotypes observed in MDSpatients. TP53 gene mutations are particularly interesting given the fact that its protein product has tumor suppression activity.TP53 encodes a cytoplasmic protein p53 that regulates cell growth and death. Mutations have been identified in a variety of cancers. In MDS, TP53 mutations have been found mainly in intermediate- to high-risk patients. Patients often present with complex cytogenetic abnormalities, severe thrombocytopenia, increased risk of leukemia progression, and have shorter survival.7, 8 While it has been well documented that genetic lesions in TP53 carry an independent poor prognostic value, mostly amongst advanced stage patients,9, 10 the role of TP53 mutations in low-risk MDS remains unclear. Duarte et al. examined whether intracellular accumulation of mutant p53 correlates with clinical characteristics and prognosis among 38 patients with low-risk MDS (defined by current scoring system). Patients with mutant p53 were older, anemic and leukopenic at the time of diagnosis, and had a shorter median survival compared to those carrying wild-type p53.Duarte et al. concluded that molecular identification of mutant p53 contributes to risk stratification of patients with low-risk MDS, which may alter the treatment approach. The authors provide a compelling argument for further characterization of the role of p53 in a larger cohort of low-risk MDSpatients.Interpreting p53 mutation role in MDS is not a trivial task, however, since there are often complicating interactions with other intracellular regulators. A recent effort to characterize genetic lesions in MDS showed that each patient frequently harbors mutations in multiple genes simultaneously. In another study, mutations in genes ASXL1, EZH2, RUNX1, NRAS and others were associated with shorter overall survival in lower-risk MDS. Interestingly, interactions among these gene products and p53 have been documented extensively.13, 14Over the past 5–10 years a variety of technologies have improved and enabled high-throughput analysis of entire MDS genomes, leading to the identification of several new potentially targetable genes implicated in MDS pathogenesis. The challenge is how to incorporate these into new prognostic systems. In addition, it is expected that these approaches will lead to therapeutic insights that are desperately needed for MDSpatients.
Authors: Matthew J Walter; Dong Shen; Li Ding; Jin Shao; Daniel C Koboldt; Ken Chen; David E Larson; Michael D McLellan; David Dooling; Rachel Abbott; Robert Fulton; Vincent Magrini; Heather Schmidt; Joelle Kalicki-Veizer; Michelle O'Laughlin; Xian Fan; Marcus Grillot; Sarah Witowski; Sharon Heath; John L Frater; William Eades; Michael Tomasson; Peter Westervelt; John F DiPersio; Daniel C Link; Elaine R Mardis; Timothy J Ley; Richard K Wilson; Timothy A Graubert Journal: N Engl J Med Date: 2012-03-14 Impact factor: 91.245
Authors: Austin G Kulasekararaj; Alexander E Smith; Syed A Mian; Azim M Mohamedali; Pramila Krishnamurthy; Nicholas C Lea; Joop Gäken; Coralie Pennaneach; Robin Ireland; Barbara Czepulkowski; Sabine Pomplun; Judith C Marsh; Ghulam J Mufti Journal: Br J Haematol Date: 2013-01-09 Impact factor: 6.998
Authors: Rafael Bejar; Kristen Stevenson; Omar Abdel-Wahab; Naomi Galili; Björn Nilsson; Guillermo Garcia-Manero; Hagop Kantarjian; Azra Raza; Ross L Levine; Donna Neuberg; Benjamin L Ebert Journal: N Engl J Med Date: 2011-06-30 Impact factor: 91.245
Authors: Y Kita-Sasai; S Horiike; S Misawa; H Kaneko; M Kobayashi; M Nakao; H Nakagawa; H Fujii; M Taniwaki Journal: Br J Haematol Date: 2001-11 Impact factor: 6.998
Authors: Rafael Bejar; Kristen E Stevenson; Bennett A Caughey; Omar Abdel-Wahab; David P Steensma; Naomi Galili; Azra Raza; Hagop Kantarjian; Ross L Levine; Donna Neuberg; Guillermo Garcia-Manero; Benjamin L Ebert Journal: J Clin Oncol Date: 2012-08-06 Impact factor: 44.544
Authors: R A Padua; B A Guinn; A I Al-Sabah; M Smith; C Taylor; T Pettersson; S Ridge; G Carter; D White; D Oscier; S Chevret; R West Journal: Leukemia Date: 1998-06 Impact factor: 11.528
Authors: U Kaindl; M Morak; C Portsmouth; A Mecklenbräuker; M Kauer; M Zeginigg; A Attarbaschi; O A Haas; R Panzer-Grümayer Journal: Leukemia Date: 2013-11-18 Impact factor: 11.528
Authors: Fernando Barroso Duarte; Romelia Pinheiro Gonçalves; Maritza Cavalcante Barbosa; Francisco Dário Rocha Filho; Talyta Ellen de Jesus Dos Santos; Thayna Nogueira Dos Santos; Paulo Roberto Leitão de Vasconcelos Journal: Rev Bras Hematol Hemoter Date: 2014-04-03