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与二甲双胍相关的代谢变化增强了Bcl-2抑制剂维奈托克和CDK9抑制剂BAY1143572的作用,并降低了淋巴瘤细胞的活力。

Metabolic changes associated with metformin potentiates Bcl-2 inhibitor, Venetoclax, and CDK9 inhibitor, BAY1143572 and reduces viability of lymphoma cells.

作者信息

Chukkapalli Vineela, Gordon Leo I, Venugopal Parameswaran, Borgia Jeffrey A, Karmali Reem

机构信息

Departments of Hematology, Oncology and Stem Cell Therapy, Rush University Medical Center, Chicago, IL, USA.

Division of Hematology/Oncology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.

出版信息

Oncotarget. 2018 Apr 20;9(30):21166-21181. doi: 10.18632/oncotarget.24989.

DOI:10.18632/oncotarget.24989
PMID:29765528
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5940409/
Abstract

Metformin exerts direct anti-tumor effects by activating AMP-activated protein kinase (AMPK), a major sensor of cellular metabolism in cancer cells. This, in turn, inhibits pro-survival mTOR signaling. Metformin has also been shown to disrupt complex 1 of the mitochondrial electron transport chain. Here, we explored the lymphoma specific anti-tumor effects of metformin using Daudi (Burkitt), SUDHL-4 (germinal center diffuse large B-cell lymphoma; GC DLBCL), Jeko-1 (Mantle-cell lymphoma; MCL) and KPUM-UH1 (double hit DLBCL) cell lines. We demonstrated that metformin as a single agent, especially at high concentrations produced significant reductions in viability and proliferation only in Daudi and SUDHL-4 cell lines with associated alterations in mitochondrial oxidative and glycolytic metabolism. As bcl-2 proteins, cyclin dependent kinases (CDK) and phosphoinositol-3- kinase (PI3K) also influence mitochondrial physiology and metabolism with clear relevance to the pathogenesis of lymphoma, we investigated the potentiating effects of metformin when combined with novel agents Venetoclax (bcl-2 inhibitor), BAY-1143572 (CDK9 inhibitor) and Idelalisib (p110δ- PI3K inhibitor). Co-treating KPUM-UH1 and SUDHL-4 cells with 10 mM of metformin resulted in 1.4 fold and 8.8 fold decreases, respectively, in IC-50 values of Venetoclax. By contrast, 3-fold and 10 fold reduction in IC-50 values of BAY-1143572 in Daudi and Jeko-1 cells respectively was seen in the presence of 10 mM of metformin. No change in IC-50 value for Idelalisib was observed across cell lines. These data suggest that although metformin is not a potent single agent, targeting cancer metabolism with similar but more effective drugs in novel combination with either bcl-2 or CDK9 inhibitors warrants further exploration.

摘要

二甲双胍通过激活AMP活化蛋白激酶(AMPK)发挥直接抗肿瘤作用,AMPK是癌细胞中细胞代谢的主要传感器。这反过来又抑制了促生存的mTOR信号传导。二甲双胍还被证明会破坏线粒体电子传递链的复合物1。在这里,我们使用Daudi(伯基特淋巴瘤)、SUDHL-4(生发中心弥漫性大B细胞淋巴瘤;GC DLBCL)、Jeko-1(套细胞淋巴瘤;MCL)和KPUM-UH1(双打击DLBCL)细胞系探索了二甲双胍对淋巴瘤的特异性抗肿瘤作用。我们证明,二甲双胍作为单一药物,尤其是高浓度时,仅在Daudi和SUDHL-4细胞系中显著降低了活力和增殖,并伴有线粒体氧化和糖酵解代谢的改变。由于bcl-2蛋白、细胞周期蛋白依赖性激酶(CDK)和磷酸肌醇-3激酶(PI3K)也影响线粒体生理和代谢,且与淋巴瘤的发病机制明显相关,我们研究了二甲双胍与新型药物维奈克拉(bcl-2抑制剂)、BAY-1143572(CDK9抑制剂)和idelalisib(p110δ-PI3K抑制剂)联合使用时的增效作用。用10 mM二甲双胍共同处理KPUM-UH1和SUDHL-4细胞,维奈克拉的IC-50值分别降低了1.4倍和8.8倍。相比之下,在存在10 mM二甲双胍的情况下,Daudi和Jeko-1细胞中BAY-1143572的IC-50值分别降低了3倍和10倍。在所有细胞系中均未观察到idelalisib的IC-50值发生变化。这些数据表明,尽管二甲双胍不是一种有效的单一药物,但将其与bcl-2或CDK9抑制剂联合使用,以类似但更有效的药物靶向癌症代谢值得进一步探索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3886/5940409/cd0cb9f29c0e/oncotarget-09-21166-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3886/5940409/5c0f78dc3c33/oncotarget-09-21166-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3886/5940409/1c0f5bd4a401/oncotarget-09-21166-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3886/5940409/19e5fde68b01/oncotarget-09-21166-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3886/5940409/8ee323f90717/oncotarget-09-21166-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3886/5940409/de62ca9d233a/oncotarget-09-21166-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3886/5940409/ee3113db9db8/oncotarget-09-21166-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3886/5940409/cd0cb9f29c0e/oncotarget-09-21166-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3886/5940409/5c0f78dc3c33/oncotarget-09-21166-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3886/5940409/1c0f5bd4a401/oncotarget-09-21166-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3886/5940409/19e5fde68b01/oncotarget-09-21166-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3886/5940409/8ee323f90717/oncotarget-09-21166-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3886/5940409/de62ca9d233a/oncotarget-09-21166-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3886/5940409/ee3113db9db8/oncotarget-09-21166-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3886/5940409/cd0cb9f29c0e/oncotarget-09-21166-g007.jpg

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