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A Decision-tree Approach to Stratify DLBCL Risk Based on Stromal and Immune Microenvironment Determinants.

作者信息

Zaccaria Gian Maria, Vegliante Maria Carmela, Mezzolla Giuseppe, Stranieri Marianna, Volpe Giacomo, Altini Nicola, Gargano Grazia, Pappagallo Susanna Anita, Bucci Antonella, Esposito Flavia, Opinto Giuseppina, Clemente Felice, Negri Antonio, Mondelli Paolo, De Candia Maria Stella, Bevilacqua Vitoantonio, Guarini Attilio, Ciavarella Sabino

机构信息

Hematology and Cell Therapy Unit, IRCCS Istituto Tumori "Giovanni Paolo II," Bari, Italy.

Transfer Technology Office, IRCCS Istituto Tumori "Giovanni Paolo II," Bari, Italy.

出版信息

Hemasphere. 2023 Apr 5;7(4):e862. doi: 10.1097/HS9.0000000000000862. eCollection 2023 Apr.

DOI:10.1097/HS9.0000000000000862
PMID:37038464
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10082248/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/310e/10082248/b5c78743c2ef/hs9-7-e862-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/310e/10082248/b5c78743c2ef/hs9-7-e862-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/310e/10082248/b5c78743c2ef/hs9-7-e862-g001.jpg

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本文引用的文献

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Cancer Cell. 2022 Aug 8;40(8):879-894.e16. doi: 10.1016/j.ccell.2022.07.006.
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NR1H3 (LXRα) is associated with pro-inflammatory macrophages, predicts survival and suggests potential therapeutic rationales in diffuse large b-cell lymphoma.NR1H3（LXRα）与促炎巨噬细胞相关，可预测弥漫性大 B 细胞淋巴瘤的生存情况，并为其提供潜在的治疗依据。
Hematol Oncol. 2022 Dec;40(5):864-875. doi: 10.1002/hon.3050. Epub 2022 Aug 9.
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Clinical and Biological Subtypes of B-cell Lymphoma Revealed by Microenvironmental Signatures.
通过微环境特征揭示 B 细胞淋巴瘤的临床和生物学亚型。
Cancer Discov. 2021 Jun;11(6):1468-1489. doi: 10.1158/2159-8290.CD-20-0839. Epub 2021 Feb 4.
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A novel lymphoma-associated macrophage interaction signature (LAMIS) provides robust risk prognostication in diffuse large B-cell lymphoma clinical trial cohorts of the DSHNHL.一种新型的淋巴瘤相关巨噬细胞相互作用特征（LAMIS）为 DSHNHL 的弥漫性大 B 细胞淋巴瘤临床试验队列提供了强大的风险预后。
Leukemia. 2020 Feb;34(2):543-552. doi: 10.1038/s41375-019-0573-y. Epub 2019 Sep 17.
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Optimizing Outcome Prediction in Diffuse Large B-Cell Lymphoma by Use of Machine Learning and Nationwide Lymphoma Registries: A Nordic Lymphoma Group Study.利用机器学习和全国淋巴瘤登记系统优化弥漫性大B细胞淋巴瘤的预后预测：北欧淋巴瘤组研究
JCO Clin Cancer Inform. 2018 Dec;2:1-13. doi: 10.1200/CCI.18.00025.
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Dissection of DLBCL microenvironment provides a gene expression-based predictor of survival applicable to formalin-fixed paraffin-embedded tissue.解析弥漫性大 B 细胞淋巴瘤的微环境为基于基因表达的生存预测因子，适用于福尔马林固定石蜡包埋组织。
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