Literature DB >> 31673113

The functional mechanisms of mutations in myelodysplastic syndrome.

Yasunobu Nagata1, Jaroslaw P Maciejewski2.   

Abstract

Overlapping spectrum of mutated genes affected in myelodysplastic syndrome (MDS) and primary acute myeloid leukemia suggest common pathogenic mechanisms. However, the frequencies of specific mutations are significantly different between them, which implies they might determine specific disease phenotype. For instance, there are overrepresentations of mutations in RNA splicing factors or epigenetic regulators in MDS. We provide an overview of recent advances in our understanding of the biology of MDS and related disorders. Our focus is how mutations of in splicing factors or epigenetic regulators identified in MDS patients demonstrate phenotypes in knockin/knockout mouse models. For instance, mutant Srsf2 mice could alter Srsf2's normal sequence-specific RNA binding activity. It exhibited changing in the recognition of specific exonic splicing enhancer motifs to drive recurrent missplicing of Ezh2, which reduces Ezh2 expression by promoting nonsense-mediated decay. Consistent with this, SRSF2 mutations are mutually exclusive with EZH2 loss-of-function mutations in MDS patients. We also review how gene editing technology identified unique associations between pathogenic mechanisms and targeted therapy using lenalidomide, including: (i) how haploinsufficiency of the genes located in the commonly deleted region in del(5q) MDS patients promotes MDS; (ii) how lenalidomide causes selective elimination of del(5q) MDS cells; and (iii) why del(5q) MDS patients become resistant to lenalidomide. Thus, this review describes our current understanding of the mechanistic and biological effects of mutations in spliceosome and epigenetic regulators by comparing wild-type normal to mutant function as well as a brief overview of the recent progresses in MDS biology.

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Year:  2019        PMID: 31673113      PMCID: PMC8370479          DOI: 10.1038/s41375-019-0617-3

Source DB:  PubMed          Journal:  Leukemia        ISSN: 0887-6924            Impact factor:   11.528


  98 in total

1.  Mutation in TET2 in myeloid cancers.

Authors:  Ayalew Tefferi; Ken-Hong Lim; Ross Levine
Journal:  N Engl J Med       Date:  2009-09-10       Impact factor: 91.245

Review 2.  Myelodysplastic syndromes.

Authors:  Ayalew Tefferi; James W Vardiman
Journal:  N Engl J Med       Date:  2009-11-05       Impact factor: 91.245

3.  Frequent pathway mutations of splicing machinery in myelodysplasia.

Authors:  Kenichi Yoshida; Masashi Sanada; Yuichi Shiraishi; Daniel Nowak; Yasunobu Nagata; Ryo Yamamoto; Yusuke Sato; Aiko Sato-Otsubo; Ayana Kon; Masao Nagasaki; George Chalkidis; Yutaka Suzuki; Masashi Shiosaka; Ryoichiro Kawahata; Tomoyuki Yamaguchi; Makoto Otsu; Naoshi Obara; Mamiko Sakata-Yanagimoto; Ken Ishiyama; Hiraku Mori; Florian Nolte; Wolf-Karsten Hofmann; Shuichi Miyawaki; Sumio Sugano; Claudia Haferlach; H Phillip Koeffler; Lee-Yung Shih; Torsten Haferlach; Shigeru Chiba; Hiromitsu Nakauchi; Satoru Miyano; Seishi Ogawa
Journal:  Nature       Date:  2011-09-11       Impact factor: 49.962

4.  Somatic mutations of the histone methyltransferase gene EZH2 in myelodysplastic syndromes.

Authors:  Gorica Nikoloski; Saskia M C Langemeijer; Roland P Kuiper; Ruth Knops; Marion Massop; Evelyn R L T M Tönnissen; Adrian van der Heijden; Theresia N Scheele; Peter Vandenberghe; Theo de Witte; Bert A van der Reijden; Joop H Jansen
Journal:  Nat Genet       Date:  2010-07-04       Impact factor: 38.330

5.  Mutations of the p53 gene in myelodysplastic syndrome (MDS) and MDS-derived leukemia.

Authors:  K Sugimoto; N Hirano; H Toyoshima; S Chiba; H Mano; F Takaku; Y Yazaki; H Hirai
Journal:  Blood       Date:  1993-06-01       Impact factor: 22.113

6.  Gain-of-function of mutated C-CBL tumour suppressor in myeloid neoplasms.

Authors:  Masashi Sanada; Takahiro Suzuki; Lee-Yung Shih; Makoto Otsu; Motohiro Kato; Satoshi Yamazaki; Azusa Tamura; Hiroaki Honda; Mamiko Sakata-Yanagimoto; Keiki Kumano; Hideaki Oda; Tetsuya Yamagata; Junko Takita; Noriko Gotoh; Kumi Nakazaki; Norihiko Kawamata; Masafumi Onodera; Masaharu Nobuyoshi; Yasuhide Hayashi; Hiroshi Harada; Mineo Kurokawa; Shigeru Chiba; Hiraku Mori; Keiya Ozawa; Mitsuhiro Omine; Hisamaru Hirai; Hiromitsu Nakauchi; H Phillip Koeffler; Seishi Ogawa
Journal:  Nature       Date:  2009-07-20       Impact factor: 49.962

Review 7.  Myelodysplastic syndromes.

Authors:  Stephen D Nimer
Journal:  Blood       Date:  2008-05-15       Impact factor: 22.113

Review 8.  Point mutations in the RUNX1/AML1 gene: another actor in RUNX leukemia.

Authors:  Motomi Osato
Journal:  Oncogene       Date:  2004-05-24       Impact factor: 9.867

9.  Somatic SF3B1 mutation in myelodysplasia with ring sideroblasts.

Authors:  E Papaemmanuil; M Cazzola; J Boultwood; L Malcovati; P Vyas; D Bowen; A Pellagatti; J S Wainscoat; E Hellstrom-Lindberg; C Gambacorti-Passerini; A L Godfrey; I Rapado; A Cvejic; R Rance; C McGee; P Ellis; L J Mudie; P J Stephens; S McLaren; C E Massie; P S Tarpey; I Varela; S Nik-Zainal; H R Davies; A Shlien; D Jones; K Raine; J Hinton; A P Butler; J W Teague; E J Baxter; J Score; A Galli; M G Della Porta; E Travaglino; M Groves; S Tauro; N C Munshi; K C Anderson; A El-Naggar; A Fischer; V Mustonen; A J Warren; N C P Cross; A R Green; P A Futreal; M R Stratton; P J Campbell
Journal:  N Engl J Med       Date:  2011-09-26       Impact factor: 91.245

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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  8 in total

1.  Srsf2P95H/+ co-operates with loss of TET2 to promote myeloid bias and initiate a chronic myelomonocytic leukemia-like disease in mice.

Authors:  Monique F Smeets; Carl R Walkley; Jane Jialu Xu; Alistair M Chalk; Meaghan Wall; Wallace Y Langdon
Journal:  Leukemia       Date:  2022-10-21       Impact factor: 12.883

2.  Epigenetic traits inscribed in chromatin accessibility in aged hematopoietic stem cells.

Authors:  Naoki Itokawa; Motohiko Oshima; Shuhei Koide; Naoya Takayama; Wakako Kuribayashi; Yaeko Nakajima-Takagi; Kazumasa Aoyama; Satoshi Yamazaki; Kiyoshi Yamaguchi; Yoichi Furukawa; Koji Eto; Atsushi Iwama
Journal:  Nat Commun       Date:  2022-05-16       Impact factor: 17.694

3.  Invariant patterns of clonal succession determine specific clinical features of myelodysplastic syndromes.

Authors:  Yasunobu Nagata; Hideki Makishima; Cassandra M Kerr; Bartlomiej P Przychodzen; Mai Aly; Abhinav Goyal; Hassan Awada; Mohammad Fahad Asad; Teodora Kuzmanovic; Hiromichi Suzuki; Tetsuichi Yoshizato; Kenichi Yoshida; Kenichi Chiba; Hiroko Tanaka; Yuichi Shiraishi; Satoru Miyano; Sudipto Mukherjee; Thomas LaFramboise; Aziz Nazha; Mikkael A Sekeres; Tomas Radivoyevitch; Torsten Haferlach; Seishi Ogawa; Jaroslaw P Maciejewski
Journal:  Nat Commun       Date:  2019-11-26       Impact factor: 17.694

4.  Secondary myelodysplastic syndromes identified via next-generation sequencing in a non-small cell lung cancer patient.

Authors:  Yongzhi Feng; Xialin Chen; Keran Jiang; Ding Zhang; Feng Tao; Dan Ni; Jun Zhang; Lixin Wu; Jinping Cai; Libin Jiang; GenHua Yu; Lin Shi
Journal:  BMC Med Genomics       Date:  2021-12-20       Impact factor: 3.063

5.  ASXL1 and STAG2 are common mutations in GATA2 deficiency patients with bone marrow disease and myelodysplastic syndrome.

Authors:  Robert R West; Katherine R Calvo; Lisa J Embree; Weixin Wang; Laura M Tuschong; Thomas R Bauer; Desiree Tillo; Justin Lack; Stephenie Droll; Amy P Hsu; Steven M Holland; Dennis D Hickstein
Journal:  Blood Adv       Date:  2022-02-08

Review 6.  From the (Epi)Genome to Metabolism and Vice Versa; Examples from Hematologic Malignancy.

Authors:  Panagiota Karagianni; Stavroula Giannouli; Michael Voulgarelis
Journal:  Int J Mol Sci       Date:  2021-06-12       Impact factor: 5.923

7.  Machine learning demonstrates that somatic mutations imprint invariant morphologic features in myelodysplastic syndromes.

Authors:  Yasunobu Nagata; Ran Zhao; Hassan Awada; Cassandra M Kerr; Inom Mirzaev; Sunisa Kongkiatkamon; Aziz Nazha; Hideki Makishima; Tomas Radivoyevitch; Jacob G Scott; Mikkael A Sekeres; Brian P Hobbs; Jaroslaw P Maciejewski
Journal:  Blood       Date:  2020-11-12       Impact factor: 25.476

Review 8.  The Cross Marks the Spot: The Emerging Role of JmjC Domain-Containing Proteins in Myeloid Malignancies.

Authors:  Hans Felix Staehle; Heike Luise Pahl; Jonas Samuel Jutzi
Journal:  Biomolecules       Date:  2021-12-20
  8 in total

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