Literature DB >> 32027746

Genomic context and TP53 allele frequency define clinical outcomes in TP53-mutated myelodysplastic syndromes.

Guillermo Montalban-Bravo1, Rashmi Kanagal-Shamanna2, Christopher B Benton1, Caleb A Class3, Kelly S Chien1, Koji Sasaki1, Kiran Naqvi1, Yesid Alvarado1, Tapan M Kadia1, Farhad Ravandi1, Naval Daver1, Koichi Takahashi1, Elias Jabbour1, Gautham Borthakur1, Naveen Pemmaraju1, Marina Konopleva1, Kelly A Soltysiak1, Sherry R Pierce1, Carlos E Bueso-Ramos2, Keyur P Patel2, Hagop Kantarjian1, Guillermo Garcia-Manero1.   

Abstract

TP53 mutations are associated with adverse outcomes and shorter response to hypomethylating agents (HMAs) in myelodysplastic syndrome (MDS). Limited data have evaluated the impact of the type, number, and patterns of TP53 mutations in response outcomes and prognosis of MDS. We evaluated the clinicopathologic characteristics, outcomes, and response to therapy of 261 patients with MDS and TP53 mutations. Median age was 68 years (range, 18-80 years). A total of 217 patients (83%) had a complex karyotype. TP53 mutations were detected at a median variant allele frequency (VAF) of 0.39 (range, 0.01-0.94). TP53 deletion was associated with lower overall response rate (ORR) (odds ratio, 0.3; P = .021), and lower TP53 VAF correlated with higher ORR to HMAs. Increase in TP53 VAF at the time of transformation was observed in 13 patients (61%), and previously undetectable mutations were observed in 15 patients (65%). TP53 VAF was associated with worse prognosis (hazard ratio, 1.02 per 1% VAF increase; 95% confidence interval, 1.01-1.03; P < .001). Integration of TP53 VAF and karyotypic complexity identified prognostic subgroups within TP53-mutant MDS. We developed a multivariable model for overall survival that included the revised International Prognostic Scoring System (IPSS-R) categories and TP53 VAF. Total score for each patient was calculated as follows: VAF TP53 + 13 × IPSS-R blast score + 16 × IPSS-R cytogenetic score + 28 × IPSS-R hemoglobin score + 46 × IPSS-R platelet score. Use of this model identified 4 prognostic subgroups with median survival times of not reached, 42.2, 21.9, and 9.2 months. These data suggest that outcomes of patients with TP53-mutated MDS are heterogeneous and that transformation may be driven not only by TP53 but also by other factors.
© 2020 by The American Society of Hematology.

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Year:  2020        PMID: 32027746      PMCID: PMC7013259          DOI: 10.1182/bloodadvances.2019001101

Source DB:  PubMed          Journal:  Blood Adv        ISSN: 2473-9529


  33 in total

1.  Mutation clonal burden and allogeneic hematopoietic cell transplantation outcomes in acute myeloid leukemia and myelodysplastic syndromes.

Authors:  Betty K Hamilton; Lisa Rybicki; Casandra Hirsch; Bartlomiej Przychodzen; Aziz Nazha; Aaron T Gerds; Rabi Hanna; Matt Kalaycio; Mikkael A Sekeres; Ronald Sobecks; Marcos de Lima; Navneet S Majhail; Jaroslaw Maciejewski
Journal:  Bone Marrow Transplant       Date:  2019-01-17       Impact factor: 5.483

2.  Comparison of clinical outcomes and prognostic utility of risk stratification tools in patients with therapy-related vs de novo myelodysplastic syndromes: a report on behalf of the MDS Clinical Research Consortium.

Authors:  A M Zeidan; N Al Ali; J Barnard; E Padron; J E Lancet; M A Sekeres; D P Steensma; A DeZern; G Roboz; E Jabbour; G Garcia-Manero; A List; R Komrokji
Journal:  Leukemia       Date:  2017-01-23       Impact factor: 11.528

3.  Prognostic Mutations in Myelodysplastic Syndrome after Stem-Cell Transplantation.

Authors:  R Coleman Lindsley; Wael Saber; Brenton G Mar; Robert Redd; Tao Wang; Michael D Haagenson; Peter V Grauman; Zhen-Huan Hu; Stephen R Spellman; Stephanie J Lee; Michael R Verneris; Katharine Hsu; Katharina Fleischhauer; Corey Cutler; Joseph H Antin; Donna Neuberg; Benjamin L Ebert
Journal:  N Engl J Med       Date:  2017-02-09       Impact factor: 91.245

4.  Myelodysplastic syndromes: 2018 update on diagnosis, risk-stratification and management.

Authors:  Guillermo Montalban-Bravo; Guillermo Garcia-Manero
Journal:  Am J Hematol       Date:  2018-01       Impact factor: 10.047

Review 5.  The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia.

Authors:  Daniel A Arber; Attilio Orazi; Robert Hasserjian; Jürgen Thiele; Michael J Borowitz; Michelle M Le Beau; Clara D Bloomfield; Mario Cazzola; James W Vardiman
Journal:  Blood       Date:  2016-04-11       Impact factor: 22.113

6.  TP53 and Decitabine in Acute Myeloid Leukemia and Myelodysplastic Syndromes.

Authors:  John S Welch; Allegra A Petti; Christopher A Miller; Catrina C Fronick; Michelle O'Laughlin; Robert S Fulton; Richard K Wilson; Jack D Baty; Eric J Duncavage; Bevan Tandon; Yi-Shan Lee; Lukas D Wartman; Geoffrey L Uy; Armin Ghobadi; Michael H Tomasson; Iskra Pusic; Rizwan Romee; Todd A Fehniger; Keith E Stockerl-Goldstein; Ravi Vij; Stephen T Oh; Camille N Abboud; Amanda F Cashen; Mark A Schroeder; Meagan A Jacoby; Sharon E Heath; Kierstin Luber; Megan R Janke; Andrew Hantel; Niloufer Khan; Madina J Sukhanova; Randall W Knoebel; Wendy Stock; Timothy A Graubert; Matthew J Walter; Peter Westervelt; Daniel C Link; John F DiPersio; Timothy J Ley
Journal:  N Engl J Med       Date:  2016-11-24       Impact factor: 91.245

7.  Prognostic value of TP53 gene mutations in myelodysplastic syndromes and acute myeloid leukemia treated with azacitidine.

Authors:  Cecile Bally; Lionel Adès; Aline Renneville; Marie Sebert; Virginie Eclache; Claude Preudhomme; Marie-Joelle Mozziconacci; Hugues de The; Jacqueline Lehmann-Che; Pierre Fenaux
Journal:  Leuk Res       Date:  2014-03-23       Impact factor: 3.156

8.  The mutational burden of therapy-related myeloid neoplasms is similar to primary myelodysplastic syndrome but has a distinctive distribution.

Authors:  Hamish S Scott; Christopher N Hahn; Devendra K Hiwase; Deepak Singhal; Li Yan A Wee; Monika M Kutyna; Rakchha Chhetri; Joel Geoghegan; Andreas W Schreiber; Jinghua Feng; Paul P-S Wang; Milena Babic; Wendy T Parker; Smita Hiwase; Suzanne Edwards; Sarah Moore; Susan Branford; Teodora Kuzmanovic; Nimit Singhal; Raghu Gowda; Anna L Brown; Peer Arts; Luen B To; Peter G Bardy; Ian D Lewis; Richard J D'Andrea; Jaroslaw P Maciejewski
Journal:  Leukemia       Date:  2019-05-14       Impact factor: 11.528

9.  Impact of the number of mutations in survival and response outcomes to hypomethylating agents in patients with myelodysplastic syndromes or myelodysplastic/myeloproliferative neoplasms.

Authors:  Guillermo Montalban-Bravo; Koichi Takahashi; Keyur Patel; Feng Wang; Song Xingzhi; Graciela M Nogueras; Xuelin Huang; Ana Alfonso Pierola; Elias Jabbour; Simona Colla; Irene Gañan-Gomez; Gautham Borthakur; Naval Daver; Zeev Estrov; Tapan Kadia; Naveen Pemmaraju; Farhad Ravandi; Carlos Bueso-Ramos; Ali Chamseddine; Marina Konopleva; Jianhua Zhang; Hagop Kantarjian; Andrew Futreal; Guillermo Garcia-Manero
Journal:  Oncotarget       Date:  2018-01-03

10.  Landscape of genetic lesions in 944 patients with myelodysplastic syndromes.

Authors:  T Haferlach; Y Nagata; V Grossmann; Y Okuno; U Bacher; G Nagae; S Schnittger; M Sanada; A Kon; T Alpermann; K Yoshida; A Roller; N Nadarajah; Y Shiraishi; Y Shiozawa; K Chiba; H Tanaka; H P Koeffler; H-U Klein; M Dugas; H Aburatani; A Kohlmann; S Miyano; C Haferlach; W Kern; S Ogawa
Journal:  Leukemia       Date:  2013-11-13       Impact factor: 11.528

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  20 in total

1.  To target the untargetable: elucidation of synergy of APR-246 and azacitidine in TP53 mutant myelodysplastic syndromes and acute myeloid leukemia.

Authors:  David A Sallman
Journal:  Haematologica       Date:  2020-06       Impact factor: 9.941

2.  Patient stratification in myelodysplastic syndromes: how a puzzle may become a map.

Authors:  Anne Sophie Kubasch; Uwe Platzbecker
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2020-12-04

3.  Predictive values of mutational variant allele frequency in overall survival and leukemic progression of myelodysplastic syndromes.

Authors:  Lingxu Jiang; Li Ye; Liya Ma; Yanling Ren; Xinping Zhou; Chen Mei; Gaixiang Xu; Haiyang Yang; Chenxi Lu; Yingwan Luo; Shuanghong Zhu; Lu Wang; Chuying Shen; Wenli Yang; Qi Zhang; Yuxia Wang; Wei Lang; Yueyuan Han; Jie Jin; Hongyan Tong
Journal:  J Cancer Res Clin Oncol       Date:  2022-01-10       Impact factor: 4.553

Review 4.  Evidence-Based Minireview: Molecular precision and clinical uncertainty: should molecular profiling be routinely used to guide risk stratification in MDS?

Authors:  Daniel R Richardson; Amy E DeZern
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2021-12-10

5.  Impact of Conditioning Intensity and Genomics on Relapse After Allogeneic Transplantation for Patients With Myelodysplastic Syndrome.

Authors:  Laura W Dillon; Gege Gui; Brent R Logan; Mingwei Fei; Jack Ghannam; Yuesheng Li; Abel Licon; Edwin P Alyea; Asad Bashey; Steven M Devine; Hugo F Fernandez; Sergio Giralt; Mehdi Hamadani; Alan Howard; Richard T Maziarz; David L Porter; Erica D Warlick; Marcelo C Pasquini; Bart L Scott; Mitchell E Horwitz; H Joachim Deeg; Christopher S Hourigan
Journal:  JCO Precis Oncol       Date:  2021-01-25

6.  Prognostic and therapeutic impacts of mutant TP53 variant allelic frequency in newly diagnosed acute myeloid leukemia.

Authors:  Nicholas J Short; Guillermo Montalban-Bravo; Hyunsoo Hwang; Jing Ning; Miguel J Franquiz; Rashmi Kanagal-Shamanna; Keyur P Patel; Courtney D DiNardo; Farhad Ravandi; Guillermo Garcia-Manero; Koichi Takahashi; Marina Konopleva; Naval Daver; Ghayas C Issa; Michael Andreeff; Hagop Kantarjian; Tapan M Kadia
Journal:  Blood Adv       Date:  2020-11-24

Review 7.  Prognosis in Myelodysplastic Syndromes: The Clinical Challenge of Genomic Integration.

Authors:  Tzu-Hua Chen-Liang
Journal:  J Clin Med       Date:  2021-05-11       Impact factor: 4.241

8.  Implications of TP53 allelic state for genome stability, clinical presentation and outcomes in myelodysplastic syndromes.

Authors:  Elsa Bernard; Yasuhito Nannya; Robert P Hasserjian; Sean M Devlin; Heinz Tuechler; Juan S Medina-Martinez; Tetsuichi Yoshizato; Yusuke Shiozawa; Ryunosuke Saiki; Luca Malcovati; Max F Levine; Juan E Arango; Yangyu Zhou; Francesc Solé; Catherine A Cargo; Detlef Haase; Maria Creignou; Ulrich Germing; Yanming Zhang; Gunes Gundem; Araxe Sarian; Arjan A van de Loosdrecht; Martin Jädersten; Magnus Tobiasson; Olivier Kosmider; Matilde Y Follo; Felicitas Thol; Ronald F Pinheiro; Valeria Santini; Ioannis Kotsianidis; Jacqueline Boultwood; Fabio P S Santos; Julie Schanz; Senji Kasahara; Takayuki Ishikawa; Hisashi Tsurumi; Akifumi Takaori-Kondo; Toru Kiguchi; Chantana Polprasert; John M Bennett; Virginia M Klimek; Michael R Savona; Monika Belickova; Christina Ganster; Laura Palomo; Guillermo Sanz; Lionel Ades; Matteo Giovanni Della Porta; Harold K Elias; Alexandra G Smith; Yesenia Werner; Minal Patel; Agnès Viale; Katelynd Vanness; Donna S Neuberg; Kristen E Stevenson; Kamal Menghrajani; Kelly L Bolton; Pierre Fenaux; Andrea Pellagatti; Uwe Platzbecker; Michael Heuser; Peter Valent; Shigeru Chiba; Yasushi Miyazaki; Carlo Finelli; Maria Teresa Voso; Lee-Yung Shih; Michaela Fontenay; Joop H Jansen; José Cervera; Yoshiko Atsuta; Norbert Gattermann; Benjamin L Ebert; Rafael Bejar; Peter L Greenberg; Mario Cazzola; Eva Hellström-Lindberg; Seishi Ogawa; Elli Papaemmanuil
Journal:  Nat Med       Date:  2020-08-03       Impact factor: 53.440

9.  Evolutionary action score identifies a subset of TP53 mutated myelodysplastic syndrome with favorable prognosis.

Authors:  Rashmi Kanagal-Shamanna; Guillermo Montalban-Bravo; Panagiotis Katsonis; Koji Sasaki; Caleb A Class; Elias Jabbour; David Sallman; Anthony Michael Hunter; Christopher Benton; Kelly S Chien; Rajyalakshmi Luthra; Carlos E Bueso-Ramos; Tapan Kadia; Michael Andreeff; Rami S Komrokji; Najla H Al Ali; Nicholas Short; Naval Daver; Mark J Routbort; Joseph D Khoury; Keyur Patel; Irene Ganan-Gomez; Yue Wei; Gautam Borthakur; Farhad Ravandi; Kim-Anh Do; Kelly A Soltysiak; Olivier Lichtarge; L Jeffrey Medeiros; Hagop Kantarjian; Guillermo Garcia-Manero
Journal:  Blood Cancer J       Date:  2021-03-06       Impact factor: 11.037

10.  Development of TP53 mutations over the course of therapy for acute myeloid leukemia.

Authors:  Yasmin Alwash; Joseph D Khoury; Mehrnoosh Tashakori; Rashmi Kanagal-Shamanna; Naval Daver; Farhad Ravandi; Tapan M Kadia; Marina Konopleva; Courtney D Dinardo; Ghayas C Issa; Sanam Loghavi; Koichi Takahashi; Elias Jabbour; Veronica Guerra; Steven Kornblau; Hagop Kantarjian; Nicholas J Short
Journal:  Am J Hematol       Date:  2021-08-19       Impact factor: 13.265

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