Literature DB >> 35257981

Targeting metabolism to overcome cancer drug resistance: A promising therapeutic strategy for diffuse large B cell lymphoma.

Manfei Pi1, Huixian Kuang1, Chunyan Yue1, Qixuan Yang1, Anqin Wu1, Yuhua Li1, Yehuda G Assaraf2, Dong-Hua Yang3, Shaojie Wu4.   

Abstract

Cancer cell metabolism including aerobic glycolysis, amino acid and fatty acid metabolism, has been extensively studied. Metabolic reprogramming is a major hallmark of cancer, which promotes cancer cell proliferation, progression and metastasis, as well as provokes resistance to chemotherapeutic drugs. Several signal transduction pathways, such as BCR, MEK/ERK, Notch, NF-κB and PI3K/AKT/mTOR, regulate tumor metabolism, hence promoting tumor cell growth, proliferation and progression. Therefore, targeting metabolic enzymes, metabolites or their signal transduction pathways may constitute a promising therapeutic strategy to enhance cancer treatment efficacy. Diffuse large B-cell lymphoma (DLBCL) is the most aggressive form of non-Hodgkin lymphoma (NHL), and one-third of DLBCL patients suffer from relapsed/refractory disease after chemotherapy. The mechanisms underlying drug resistance are complex, including target gene mutations, metabolic reprogramming, aberrant signal transduction pathways, enhanced drug efflux via overexpression of multidrug efflux transporters like P-glycoprotein, upregulation of anti-apoptotic proteins, drug sequestration and enhanced DND repair. This review delineates the distinct metabolic reprogramming patterns and the association between metabolism and anticancer drug resistance in DLBCL as well as the emerging strategies to surmount chemoresistance in DLBCL.
Copyright © 2022. Published by Elsevier Ltd.

Entities:  

Keywords:  cancer drug resistance; diffuse large B cell lymphoma; tumor metabolism

Mesh:

Substances:

Year:  2022        PMID: 35257981     DOI: 10.1016/j.drup.2022.100822

Source DB:  PubMed          Journal:  Drug Resist Updat        ISSN: 1368-7646            Impact factor:   18.500


  4 in total

1.  A Metabolic Gene Signature to Predict Breast Cancer Prognosis.

Authors:  Jun Lu; Pinbo Liu; Ran Zhang
Journal:  Front Mol Biosci       Date:  2022-06-29

Review 2.  Metabolic Adaptation-Mediated Cancer Survival and Progression in Oxidative Stress.

Authors:  Yongquan Tang; Zhe Zhang; Yan Chen; Siyuan Qin; Li Zhou; Wei Gao; Zhisen Shen
Journal:  Antioxidants (Basel)       Date:  2022-07-05

Review 3.  Nanomedicines for Overcoming Cancer Drug Resistance.

Authors:  Tingting Hu; Hanlin Gong; Jiayue Xu; Yuan Huang; Fengbo Wu; Zhiyao He
Journal:  Pharmaceutics       Date:  2022-08-01       Impact factor: 6.525

4.  CCL8 as a promising prognostic factor in diffuse large B-cell lymphoma via M2 macrophage interactions: A bioinformatic analysis of the tumor microenvironment.

Authors:  Xiaoli Lou; Ke Zhao; Jingze Xu; Lixiong Shuai; Hui Niu; Zhifei Cao; Juan Wang; Yongsheng Zhang
Journal:  Front Immunol       Date:  2022-08-22       Impact factor: 8.786

  4 in total

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