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Implications of TP53 allelic state for genome stability, clinical presentation and outcomes in myelodysplastic syndromes.
Bernard, Elsa; Nannya, Yasuhito; Hasserjian, Robert P; Devlin, Sean M; Tuechler, Heinz; Medina-Martinez, Juan S; Yoshizato, Tetsuichi; Shiozawa, Yusuke; Saiki, Ryunosuke; Malcovati, Luca; Levine, Max F; Arango, Juan E; Zhou, Yangyu; Solé, Francesc; Cargo, Catherine A; Haase, Detlef; Creignou, Maria; Germing, Ulrich; Zhang, Yanming; Gundem, Gunes; Sarian, Araxe; van de Loosdrecht, Arjan A; Jädersten, Martin; Tobiasson, Magnus; Kosmider, Olivier; Follo, Matilde Y; Thol, Felicitas; Pinheiro, Ronald F; Santini, Valeria; Kotsianidis, Ioannis; Boultwood, Jacqueline; Santos, Fabio P S; Schanz, Julie; Kasahara, Senji; Ishikawa, Takayuki; Tsurumi, Hisashi; Takaori-Kondo, Akifumi; Kiguchi, Toru; Polprasert, Chantana; Bennett, John M; Klimek, Virginia M; Savona, Michael R; Belickova, Monika; Ganster, Christina; Palomo, Laura; Sanz, Guillermo; Ades, Lionel; Della Porta, Matteo Giovanni; Elias, Harold K; Smith, Alexandra G.
Afiliação
  • Bernard E; Computational Oncology Service, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Nannya Y; Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Hasserjian RP; Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan.
  • Devlin SM; Department of Pathology, Massachusetts General Hospital, Boston, MA, USA.
  • Tuechler H; Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Medina-Martinez JS; , Vienna, Austria.
  • Yoshizato T; Computational Oncology Service, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Shiozawa Y; Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Saiki R; Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan.
  • Malcovati L; Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan.
  • Levine MF; Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan.
  • Arango JE; Department of Molecular Medicine, University of Pavia, Pavia, Italy.
  • Zhou Y; Department of Hematology, IRCCS Fondazione Policlinico S. Matteo, Pavia, Italy.
  • Solé F; Computational Oncology Service, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Cargo CA; Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Haase D; Computational Oncology Service, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Creignou M; Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Germing U; Computational Oncology Service, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Zhang Y; Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Gundem G; MDS Group, Institut de Recerca Contra la Leucèmia Josep Carreras, Barcelona, Spain.
  • Sarian A; Haematological Malignancy Diagnostic Service, St James's University Hospital, Leeds, UK.
  • van de Loosdrecht AA; Clinics of Hematology and Medical Oncology, University Medical Center, Göttingen, Germany.
  • Jädersten M; Department of Medicine Huddinge, Center for Hematology and Regenerative Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.
  • Tobiasson M; Department of Hematology, Oncology and Clinical Immunology, Heinrich Heine University, Düsseldorf, Germany.
  • Kosmider O; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Follo MY; Computational Oncology Service, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Thol F; Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Pinheiro RF; Department of Hematology, VU University Medical Center Amsterdam, Amsterdam, the Netherlands.
  • Santini V; Department of Medicine Huddinge, Center for Hematology and Regenerative Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.
  • Kotsianidis I; Department of Medicine Huddinge, Center for Hematology and Regenerative Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.
  • Boultwood J; Department of Hematology, Assistance Publique-Hôpitaux de Paris, Hôpital Cochin and Université de Paris, Université Paris Descartes, Paris, France.
  • Santos FPS; Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
  • Schanz J; Department of Hematology, Hemostasis, Oncology and Stem Cell Transplantation Hannover Medical School, Hannover, Germany.
  • Kasahara S; Drug Research and Development Center, Federal University of Ceara, Ceara, Brazil.
  • Ishikawa T; MDS Unit, Hematology, AOU Careggi, University of Florence, Florence, Italy.
  • Tsurumi H; Department of Hematology, Democritus University of Thrace Medical School, Alexandroupolis, Greece.
  • Takaori-Kondo A; Radcliffe Department of Medicine, University of Oxford and Oxford BRC Haematology Theme, Oxford, UK.
  • Kiguchi T; Oncology-Hematology Center, Hospital Israelita Albert Einstein, São Paulo, Brazil.
  • Polprasert C; Clinics of Hematology and Medical Oncology, University Medical Center, Göttingen, Germany.
  • Bennett JM; Department of Hematology, Gifu Municipal Hospital, Gifu, Japan.
  • Klimek VM; Department of Hematology, Kobe City Medical Center General Hospital, Kobe, Japan.
  • Savona MR; Department of Hematology, Gifu University Graduate School of Medicine, Gifu, Japan.
  • Belickova M; Department of Hematology and Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
  • Ganster C; Department of Hematology, Chugoku Central Hospital, Fukuyama, Japan.
  • Palomo L; Department of Medicine, Chulalongkorn University, King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
  • Sanz G; Lab. Medicine and Pathology, Hematology/Oncology, University of Rochester Medical Center, Rochester, NY, USA.
  • Ades L; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Della Porta MG; Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
  • Elias HK; Department of Genomics, Institute of Hematology and Blood Transfusion, Prague, Czech Republic.
  • Smith AG; Clinics of Hematology and Medical Oncology, University Medical Center, Göttingen, Germany.
Nat Med ; 26(10): 1549-1556, 2020 10.
Article em En | MEDLINE | ID: mdl-32747829
ABSTRACT
Tumor protein p53 (TP53) is the most frequently mutated gene in cancer1,2. In patients with myelodysplastic syndromes (MDS), TP53 mutations are associated with high-risk disease3,4, rapid transformation to acute myeloid leukemia (AML)5, resistance to conventional therapies6-8 and dismal outcomes9. Consistent with the tumor-suppressive role of TP53, patients harbor both mono- and biallelic mutations10. However, the biological and clinical implications of TP53 allelic state have not been fully investigated in MDS or any other cancer type. We analyzed 3,324 patients with MDS for TP53 mutations and allelic imbalances and delineated two subsets of patients with distinct phenotypes and outcomes. One-third of TP53-mutated patients had monoallelic mutations whereas two-thirds had multiple hits (multi-hit) consistent with biallelic targeting. Established associations with complex karyotype, few co-occurring mutations, high-risk presentation and poor outcomes were specific to multi-hit patients only. TP53 multi-hit state predicted risk of death and leukemic transformation independently of the Revised International Prognostic Scoring System (IPSS-R)11. Surprisingly, monoallelic patients did not differ from TP53 wild-type patients in outcomes and response to therapy. This study shows that consideration of TP53 allelic state is critical for diagnostic and prognostic precision in MDS as well as in future correlative studies of treatment response.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Síndromes Mielodisplásicas / Proteína Supressora de Tumor p53 / Instabilidade Genômica Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Síndromes Mielodisplásicas / Proteína Supressora de Tumor p53 / Instabilidade Genômica Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2020 Tipo de documento: Article