Aging-related genes related to the prognosis and the immune microenvironment of acute myeloid leukemia
Author:
Funder
Science and Technology Plan Project of Wenzhou, China
Publisher
Springer Science and Business Media LLC
Subject
Cancer Research,Oncology,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s12094-023-03168-8.pdf
Reference40 articles.
1. Shallis RM, Wang R, Davidoff A, Ma X, Zeidan AM. Epidemiology of acute myeloid leukemia: Recent progress and enduring challenges. Blood Rev. 2019. https://doi.org/10.1016/j.blre.2019.04.005.
2. Papaemmanuil E, Gerstung M, Bullinger L, Gaidzik VI, Paschka P, Roberts ND, et al. Genomic classification and prognosis in acute myeloid leukemia. New Engl J Med. 2016. https://doi.org/10.1056/NEJMoa1516192.
3. Li F, Cai J, Liu J, Yu SC, Zhang X, Su Y, et al. Construction of a solid Cox model for AML patients based on multiomics bioinformatic analysis. Front Oncol. 2022. https://doi.org/10.3389/fonc.2022.925615.
4. Lee S, Schmitt CA. The dynamic nature of senescence in cancer. Nat Cell Biol. 2019. https://doi.org/10.1038/s41556-018-0249-2.
5. Galanos P, Vougas K, Walter D, Polyzos A, Maya-Mendoza A, Haagensen EJ, et al. Chronic p53-independent p21 expression causes genomic instability by deregulating replication licensing. Nat Cell Biol. 2016. https://doi.org/10.1038/ncb3378.
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