Mutation status and burden can improve prognostic prediction of patients with lower‐risk myelodysplastic syndromes-Reference-Cited by-同舟云学术

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Mutation status and burden can improve prognostic prediction of patients with lower‐risk myelodysplastic syndromes

Published:2019-12-24 Issue:2 Volume:111 Page:580-591
ISSN:1347-9032
Container-title:Cancer Science
language:en
Short-container-title:Cancer Sci

Author:

Jiang Lingxu¹²,Luo Yingwan¹²,Zhu Shuanghong¹²,Wang Lu¹²,Ma Liya¹²,Zhang Hua¹²,Shen Chuying¹²,Yang Wenli¹²,Ren Yanling¹²,Zhou Xinping¹²,Mei Chen¹²,Ye Li¹²,Xu Weilai¹²,Yang Haiyang¹,Lu Chenxi¹,Jin Jie¹^ORCID,Tong Hongyan¹²^ORCID

Affiliation:

1. Department of Hematology The First Affiliated Hospital Zhejiang University School of Medicine Hangzhou China

2. Myelodysplastic Syndromes Diagnosis and Therapy Center The First Affiliated Hospital Zhejiang University School of Medicine Hangzhou China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Cancer Research,Oncology,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/cas.14270

Reference45 articles.

1. The genetic basis of phenotypic heterogeneity in myelodysplastic syndromes

2. There’s Risk, and Then There’s RISK: The Latest Clinical Prognostic Risk Stratification Models in Myelodysplastic Syndromes

3. Molecular Data and the IPSS-R: How Mutational Burden Can Affect Prognostication in MDS

4. International Scoring System for Evaluating Prognosis in Myelodysplastic Syndromes

5. The MDS genomics-prognosis symbiosis

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1. Validation of the Molecular International Prognostic Scoring System (IPSS-M) for myelodysplastic neoplasms (MDS) and comparison with the revised International Prognostic Scoring System (IPSS-R) in Chinese Population: A Multicenter Retrospective Study.;2024-03-25

2. Classification Techniques to Predict the Risk of Myelodysplastic Syndromes using Deep Learning;2023 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI);2023-12-21

3. Molecular Techniques and Gene Mutations in Myelodysplastic Syndromes;Clinics in Laboratory Medicine;2023-12

4. The molecular profile in patients with polycythemia vera and essential thrombocythemia is dynamic and correlates with disease’s phenotype;Frontiers in Oncology;2023-08-21

5. Co-mutation ofASXL1andSF3B1Predicts Poorer Overall Survival Than IsolatedASXL1orSF3B1Mutations;In Vivo;2023

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