A novel molecular classification based on efferocytosis-related genes for predicting clinical outcome and treatment response in acute myeloid leukemia-Reference-Cited by-同舟云学术

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A novel molecular classification based on efferocytosis-related genes for predicting clinical outcome and treatment response in acute myeloid leukemia

Published:2024-09-02 Issue: Volume: Page:
ISSN:1023-3830
Container-title:Inflammation Research
language:en
Short-container-title:Inflamm. Res.

Author:

Zhong Fangmin,Yao Fangyi,Bai Qin,Liu Jing,Li Xiaolin,Huang Bo,Wang Xiaozhong

Funder

Natural Science Foundation of Jiangxi Province

National Natural Science Foundation of China

Incubation Program of the Second Affiliated Hospital of Nanchang University

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00011-024-01938-w.pdf

Reference38 articles.

1. Newell L, Cook R. Advances in acute myeloid leukemia. BMJ (Clinical research ed.) 375, n2026, https://doi.org/10.1136/bmj.n2026 (2021).

2. Shimony S, Stahl M, Stone RM. Acute myeloid leukemia: 2023 update on diagnosis, risk-stratification, and management. Am J Hematol. 2023;98:502–26. https://doi.org/10.1002/ajh.26822.

3. DiNardo CD, Perl AE. Advances in patient care through increasingly individualized therapy. Nat Rev Clin Oncol. 2019;16:73–4. https://doi.org/10.1038/s41571-018-0156-2.

4. Kantarjian H, et al. Acute myeloid leukemia: current progress and future directions. Blood cancer J. 2021;11. https://doi.org/10.1038/s41408-021-00425-3.

5. Lindsley RC, et al. Acute myeloid leukemia ontogeny is defined by distinct somatic mutations. Blood. 2015;125:1367–76. https://doi.org/10.1182/blood-2014-11-610543.

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