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作 者:Hanying Huang Yang Li Ziang Zhu Yang Liu Weida Wang Shuzhao Chen Xiaoping Wu Yun Wang Yanzhou Chen Huanxin Lin Yang Liang Lingling Shu
机构地区:[1]State Key Laboratory of Oncology in South China,Collaborative Innovation Center for Cancer Medicine,Sun Yat-sen University Cancer Center,Guangzhou,Guangdong 510060,China [2]Department of Hematologic Oncology,Sun Yat-sen University Cancer Center,Guangzhou,Guangdong 510060,China [3]Department of Radiation Oncology,Sun Yat-sen University Cancer Center,Guangzhou,Guangdong 510060,China [4]Key Laboratory of Neurosurgery in Guangdong Province,Southern Medical University,Guangzhou,Guangdong 510060,China [5]Department of Neurosurgery,Zhujiang Hospital,Southern Medical University,Guangzhou,Guangdong 510060,China [6]State Key Laboratory of Pharmaceutical Biotechnology,The University of Hong Kong,Hong Kong 999077,China
出 处:《Genes & Diseases》2024年第5期29-32,共4页基因与疾病(英文)
基 金:the Sun Yat-sen University Hundred Talents Program(China)(No.PT19200101);Natural Science Foundation of Guangdong Province,China(No.2022A1515010290);Guangdong Province Science and Technology Planning Project of China(No.2020A1414010033);Guangzhou Science and Technology Planning Project of China(No.202102020430);YL was supported,in part,by Sun Yat-sen University Start-up Funding(China)(No.201603);H-XL was supported by the National Natural Science Foundation of China(No.81773103);the Natural Science Foundation of Guangdong Province,China(No.2017A030313617).
摘 要:Multiple myeloma(MM)is the second most common hematological tumor.It is characterized by high drug resistance,easy recurrence,and poor prognosis,and remains incurable.Various models or scoring modalities can be used to predict the survival prognosis of MM patients;however,these predictions are still not accurate enough.We have previously found that scorings related to bone marrow microenvironment metabolism can improve predictive efficacy.
关 键 词:METABOLISM PROGNOSIS MYELOMA
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