Literature DB >> 28875545

Targeted next-generation sequencing in myelodysplastic syndromes and prognostic interaction between mutations and IPSS-R.

Ayalew Tefferi1, Terra L Lasho1, Mrinal M Patnaik1, Lyla Saeed1, Mythri Mudireddy1, Dame Idossa1, Christy Finke1, Rhett P Ketterling2, Animesh Pardanani1, Naseema Gangat1.   

Abstract

A 27-gene panel was used for next-generation sequencing (NGS) in 179 patients (median age 73 years) with primary myelodysplastic syndromes (MDS); risk distribution according to the revised International Prognostic Scoring System (IPSS-R) was 11% very high, 18% high, 17% intermediate, 38% low and 16% very low. At least one mutation/variant was detected in 147 (82%) patients; 23% harbored three or more mutations/variants. The most frequent mutations/variants included ASXL1 (30%), TET2 (25%), SF3B1 (20%), U2AF1 (16%), SRSF2 (16%), TP53 (13%), RUNX1 (11%), and DNMT3A (10%). At a median follow up of 30 months, 148 (83%) deaths and 26 (15%) leukemic transformations were recorded. Multivariable analysis of mutations/variants identified ASXL1 (HR 1.7, 95% CI 1.2-2.5), SETBP1 (HR 4.1, 95% CI 1.6-10.2) and TP53 (HR 2.2, 95% CI 1.3-3.4) as risk factors for overall and SRSF2 (HR 3.9, 95% CI 1.5-10.2), IDH2 (HR 3.7, 95% CI 1.2-11.4), and CSF3R (HR 6.0, 95% CI 1.6-22.6) for leukemia-free survival. Addition of age to the multivariable model did not affect these results while accounting for IPSS-R weakened the significance of TP53 mutations/variants (P = .1). An apparently favorable survival impact of SF3B1 mutations was no longer evident after adjustment for IPSS-R. Approximately 41% and 20% of patients harbored at least one adverse mutation/variant for overall and leukemia-free survival, respectively. Number of mutations/variants did not provide additional prognostic value. The survival impact of adverse mutations was most evident in IPSS-R very low/low risk patients. These observations suggest that targeted NGS might assist in treatment decision-making in lower risk MDS.
© 2017 Wiley Periodicals, Inc.

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Year:  2017        PMID: 28875545     DOI: 10.1002/ajh.24901

Source DB:  PubMed          Journal:  Am J Hematol        ISSN: 0361-8609            Impact factor:   10.047


  28 in total

1.  Impact of mutational variant allele frequency on prognosis in myelodysplastic syndromes.

Authors:  Lingxu Jiang; Lu Wang; Chuying Shen; Shuanghong Zhu; Wei Lang; Yingwan Luo; Hua Zhang; Wenli Yang; Yueyuan Han; Liya Ma; Yanling Ren; Xinping Zhou; Chen Mei; Li Ye; Weilai Xu; Haiyang Yang; Chenxi Lu; Jie Jin; Hongyan Tong
Journal:  Am J Cancer Res       Date:  2020-12-01       Impact factor: 6.166

2.  Do next-generation sequencing results drive diagnostic and therapeutic decisions in MDS?

Authors:  Guillermo F Sanz; Mariam Ibañez; Esperanza Such
Journal:  Blood Adv       Date:  2019-11-12

3.  Impact of splicing factor mutations on clinical features in patients with myelodysplastic syndromes.

Authors:  Naoki Shingai; Yuka Harada; Hiroko Iizuka; Yosuke Ogata; Noriko Doki; Kazuteru Ohashi; Masao Hagihara; Norio Komatsu; Hironori Harada
Journal:  Int J Hematol       Date:  2018-10-23       Impact factor: 2.490

Review 4.  Roles and mechanisms of alternative splicing in cancer - implications for care.

Authors:  Sophie C Bonnal; Irene López-Oreja; Juan Valcárcel
Journal:  Nat Rev Clin Oncol       Date:  2020-04-17       Impact factor: 66.675

5.  Elevated mature monocytes in bone marrow accompanied with a higher IPSS-R score predicts a poor prognosis in myelodysplastic syndromes.

Authors:  An Wu; Panpan Gao; Ningning Wu; Cong Shi; Zhenya Huang; Chunmeng Rong; Ye Sun; Lixia Sheng; Guifang Ouyang; Qitian Mu
Journal:  BMC Cancer       Date:  2021-05-13       Impact factor: 4.638

6.  Momelotinib therapy for myelofibrosis: a 7-year follow-up.

Authors:  Ayalew Tefferi; Daniela Barraco; Terra L Lasho; Sahrish Shah; Kebede H Begna; Aref Al-Kali; William J Hogan; Mark R Litzow; Curtis A Hanson; Rhett P Ketterling; Naseema Gangat; Animesh Pardanani
Journal:  Blood Cancer J       Date:  2018-03-07       Impact factor: 11.037

7.  Prognostic interaction between bone marrow morphology and SF3B1 and ASXL1 mutations in myelodysplastic syndromes with ring sideroblasts.

Authors:  Abhishek A Mangaonkar; Terra L Lasho; Christy M Finke; Naseema Gangat; Aref Al-Kali; Michelle A Elliott; Kebede H Begna; Hassan Alkhateeb; Alexandra P Wolanskyj-Spinner; Curtis A Hanson; Rhett P Ketterling; William J Hogan; Animesh Pardanani; Mark R Litzow; Ayalew Tefferi; Mrinal M Patnaik
Journal:  Blood Cancer J       Date:  2018-02-12       Impact factor: 11.037

8.  Incorporation of mutations in five genes in the revised International Prognostic Scoring System can improve risk stratification in the patients with myelodysplastic syndrome.

Authors:  Hsin-An Hou; Cheng-Hong Tsai; Chien-Chin Lin; Wen-Chien Chou; Yuan-Yeh Kuo; Chieh-Yu Liu; Mei-Hsuan Tseng; Yen-Ling Peng; Ming-Chih Liu; Chia-Wen Liu; Xiu-Wen Liao; Liang-In Lin; Ming Yao; Jih-Luh Tang; Hwei-Fang Tien
Journal:  Blood Cancer J       Date:  2018-04-04       Impact factor: 11.037

9.  Dynamics of DNMT3A mutation and prognostic relevance in patients with primary myelodysplastic syndrome.

Authors:  Ming-En Lin; Hsin-An Hou; Cheng-Hong Tsai; Shang-Ju Wu; Yuan-Yeh Kuo; Mei-Hsuan Tseng; Ming-Chih Liu; Chia-Wen Liu; Wen-Chien Chou; Chien-Yuan Chen; Jih-Luh Tang; Ming Yao; Chi-Cheng Li; Shang-Yi Huang; Bor-Sheng Ko; Szu-Chun Hsu; Chien-Ting Lin; Hwei-Fang Tien
Journal:  Clin Epigenetics       Date:  2018-04-02       Impact factor: 6.551

10.  Mutations and karyotype in myelodysplastic syndromes: TP53 clusters with monosomal karyotype, RUNX1 with trisomy 21, and SF3B1 with inv(3)(q21q26.2) and del(11q).

Authors:  Ayalew Tefferi; Dame Idossa; Terra L Lasho; Mythri Mudireddy; Christy Finke; Sahrish Shah; Maura Nicolosi; Mrinal M Patnaik; Animesh Pardanani; Naseema Gangat; Curt A Hanson; Rhett P Ketterling
Journal:  Blood Cancer J       Date:  2017-12-18       Impact factor: 11.037

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