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Menendez D, Anand JR, Murphy CC, Bell WJ, Fu J, Slepushkina N, Buehler E, Martin SE, Lal-Nag M, Nitiss JL, Resnick MA. Etoposide-induced DNA damage is increased in p53 mutants: identification of ATR and other genes that influence effects of p53 mutations on Top2-induced cytotoxicity. Oncotarget 2022; 13:332-346. [PMID: 35178190 PMCID: PMC8845119 DOI: 10.18632/oncotarget.28195] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 01/28/2022] [Indexed: 11/25/2022] Open
Abstract
The functional status of the tumor suppressor p53 is a critical component in determining the sensitivity of cancer cells to many chemotherapeutic agents. DNA topoisomerase II (Top2) plays essential roles in DNA metabolism and is the target of FDA approved chemotherapeutic agents. Topoisomerase targeting drugs convert the enzyme into a DNA damaging agent and p53 influences cellular responses to these agents. We assessed the impact of the loss of p53 function on the formation of DNA damage induced by the Top2 poison etoposide. Using human HCT116 cells, we found resistance to etoposide in cell growth assays upon the functional loss of p53. Nonetheless, cells lacking fully functional p53 were etoposide hypersensitive in clonogenic survival assays. This complex role of p53 led us to directly examine the effects of p53 status on topoisomerase-induced DNA damage. A deficiency in functional p53 resulted in elevated levels of the Top2 covalent complexes (Top2cc) in multiple cell lines. Employing genome-wide siRNA screens, we identified a set of genes for which reduced expression resulted in enhanced synthetic lethality upon etoposide treatment of p53 defective cells. We focused on one hit from this screen, ATR, and showed that decreased expression sensitized the p53-defective cells to etoposide in all assays and generated elevated levels of Top2cc in both p53 proficient and deficient cells. Our findings suggest that a combination of etoposide treatment with functional inactivation of DNA repair in p53 defective cells could be used to enhance the therapeutic efficacy of Top2 targeting agents.
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Affiliation(s)
- Daniel Menendez
- Chromosomal Stability Group, Genome Integrity and Structural Biology Laboratory, NIEHS, NIH, Durham, NC 27709, USA
- Environmental Cardiopulmonary Disease Group, Immunity, Inflammation and Disease Laboratory, NIEHS, NIH, Durham, NC 27709, USA
- These authors contributed equally to this work
| | - Jay R. Anand
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Illinois, Rockford, IL 61107, USA
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- These authors contributed equally to this work
| | - Carri C. Murphy
- Chromosomal Stability Group, Genome Integrity and Structural Biology Laboratory, NIEHS, NIH, Durham, NC 27709, USA
| | - Whitney J. Bell
- Chromosomal Stability Group, Genome Integrity and Structural Biology Laboratory, NIEHS, NIH, Durham, NC 27709, USA
| | - Jiaqi Fu
- Functional Genomics Laboratory, National Center for Advancing Translational Sciences, NIH, Bethesda, MD 20850, USA
| | - Nadia Slepushkina
- Functional Genomics Laboratory, National Center for Advancing Translational Sciences, NIH, Bethesda, MD 20850, USA
| | - Eugen Buehler
- Functional Genomics Laboratory, National Center for Advancing Translational Sciences, NIH, Bethesda, MD 20850, USA
| | - Scott E. Martin
- Functional Genomics Laboratory, National Center for Advancing Translational Sciences, NIH, Bethesda, MD 20850, USA
| | - Madhu Lal-Nag
- Functional Genomics Laboratory, National Center for Advancing Translational Sciences, NIH, Bethesda, MD 20850, USA
| | - John L. Nitiss
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Illinois, Rockford, IL 61107, USA
| | - Michael A. Resnick
- Chromosomal Stability Group, Genome Integrity and Structural Biology Laboratory, NIEHS, NIH, Durham, NC 27709, USA
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Duan B, Zhou C, Zhu C, Yu Y, Li G, Zhang S, Zhang C, Ye X, Ma H, Qu S, Zhang Z, Wang P, Sun S, Liu Q. Model-based understanding of single-cell CRISPR screening. Nat Commun 2019; 10:2233. [PMID: 31110232 PMCID: PMC6527552 DOI: 10.1038/s41467-019-10216-x] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Accepted: 04/30/2019] [Indexed: 12/26/2022] Open
Abstract
The recently developed single-cell CRISPR screening techniques, independently termed Perturb-Seq, CRISP-seq, or CROP-seq, combine pooled CRISPR screening with single-cell RNA-seq to investigate functional CRISPR screening in a single-cell granularity. Here, we present MUSIC, an integrated pipeline for model-based understanding of single-cell CRISPR screening data. Comprehensive tests applied to all the publicly available data revealed that MUSIC accurately quantifies and prioritizes the individual gene perturbation effect on cell phenotypes with tolerance for the substantial noise that exists in such data analysis. MUSIC facilitates the single-cell CRISPR screening from three perspectives, i.e., prioritizing the gene perturbation effect as an overall perturbation effect, in a functional topic-specific way, and quantifying the relationships between different perturbations. In summary, MUSIC provides an effective and applicable solution to elucidate perturbation function and biologic circuits by a model-based quantitative analysis of single-cell-based CRISPR screening data.
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Affiliation(s)
- Bin Duan
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Bioinformatics Department, College of Life Science, Tongji University, Shanghai, China
- Department of Ophthalmology, Ninghai First Hospital, Ninghai, Zhejiang, China
| | - Chi Zhou
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Bioinformatics Department, College of Life Science, Tongji University, Shanghai, China
| | - Chengyu Zhu
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Bioinformatics Department, College of Life Science, Tongji University, Shanghai, China
| | - Yifei Yu
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Bioinformatics Department, College of Life Science, Tongji University, Shanghai, China
| | - Gaoyang Li
- Tongji University Cancer Center, Shanghai Tenth People's Hospital of Tongji University, Shanghai, China
- School of Medicine Tongji University, Shanghai, China
| | - Shihua Zhang
- Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Beijing, China
| | - Chao Zhang
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Bioinformatics Department, College of Life Science, Tongji University, Shanghai, China
| | - Xiangyun Ye
- Shanghai Chest Hospital Shanghai Jiaotong University, Shanghai, China
| | - Hanhui Ma
- School of Life Science and Technology ShanghaiTech University, Shanghai, China
| | - Shen Qu
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Bioinformatics Department, College of Life Science, Tongji University, Shanghai, China
| | - Zhiyuan Zhang
- Department of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ping Wang
- Tongji University Cancer Center, Shanghai Tenth People's Hospital of Tongji University, Shanghai, China.
- School of Medicine Tongji University, Shanghai, China.
| | - Shuyang Sun
- Department of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Qi Liu
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Bioinformatics Department, College of Life Science, Tongji University, Shanghai, China.
- Department of Ophthalmology, Ninghai First Hospital, Ninghai, Zhejiang, China.
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Damrot J, Nübel T, Epe B, Roos WP, Kaina B, Fritz G. Lovastatin protects human endothelial cells from the genotoxic and cytotoxic effects of the anticancer drugs doxorubicin and etoposide. Br J Pharmacol 2006; 149:988-97. [PMID: 17088865 PMCID: PMC2014634 DOI: 10.1038/sj.bjp.0706953] [Citation(s) in RCA: 65] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND AND PURPOSE 3-Hydroxy-3-methylglutaryl-coenzyme A (HMG-CoA) reductase inhibitors (statins) are frequently used lipid-lowering drugs. Moreover, they exert pleiotropic effects on cellular stress responses and death. Here, we analysed whether lovastatin affects the sensitivity of primary human endothelial cells (HUVEC) to the anticancer drug doxorubicin. EXPERIMENTAL APPROACH We investigated whether pretreatment of HUVEC with low dose of lovastatin influences the cellular sensitivity to doxorubicin. To this end, cell viability, proliferation and apoptosis as well as DNA damage-triggered stress response were analysed. KEY RESULTS Lovastatin reduced the cytotoxic potency of doxorubicin in HUVEC. Lovastatin attenuated the doxorubicin-induced increase in p53 as well as activation of checkpoint kinase (Chk-1) and stress-activated protein kinase/c-Jun-N-terminal kinase (SAPK/JNK). Acquired doxorubicin resistance was independent of alterations in doxorubicin efflux and cell cycle progression. Also, doxorubicin-triggered production of reactive oxygen species (ROS) and formation of oxidative DNA lesions remained unaffected by lovastatin. However, lovastatin impaired DNA strand break formation induced by doxorubicin. Notably, lovastatin also conferred cross-resistance to the cytotoxic and genotoxic effects of etoposide, indicating that lovastatin shields topoisomerase II against poisons. CONCLUSIONS AND IMPLICATIONS Based on these data, we suggest that lovastatin-mediated resistance to topoisomerase II inhibitors is due to a reduction in DNA damage and, hence, it attenuates stress responses leading to cell death that are triggered by DNA damage. Therefore, lovastatin might be useful clinically for alleviating side-effects of anticancer therapies that include topoisomerase II inhibitors.
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Affiliation(s)
- J Damrot
- Department of Toxicology, University of Mainz Mainz, Germany
| | - T Nübel
- Department of Toxicology, University of Mainz Mainz, Germany
| | - B Epe
- Institute of Pharmacy, University of Mainz Mainz, Germany
| | - W P Roos
- Department of Toxicology, University of Mainz Mainz, Germany
| | - B Kaina
- Department of Toxicology, University of Mainz Mainz, Germany
| | - G Fritz
- Department of Toxicology, University of Mainz Mainz, Germany
- Faculty of Veterinary Medicine, Institute of Pharmacology and Toxicology, Justus-Liebig University of Giessen Giessen, Germany
- Author for correspondence:
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Sato T, Odagiri H, Ikenaga SK, Maruyama M, Sasaki M. Chemosensitivity of human pancreatic carcinoma cells is enhanced by IkappaBalpha super-repressor. Cancer Sci 2003; 94:467-72. [PMID: 12824895 DOI: 10.1111/j.1349-7006.2003.tb01466.x] [Citation(s) in RCA: 18] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Pancreatic cancer has an unfavorable prognosis; surgery and chemotherapy at present have only limited value. To improve the prognosis of pancreatic cancer, effective non-surgical therapy is necessary. NF-kappaB is reported to be related to resistance to apoptosis, but its role in chemosensitivity remains controversial. We examined the effects on chemosensitivity of inhibition by induction of the super-repressor IkappaBalpha in pancreatic cancer cell lines, BxPC-3, Capan-1 and Panc-1. IkappaBalpha protein was transduced by infection of adenovirus vector AxCAhIkBDeltaN. Sensitivity to VP-16 and doxorubicin was increased significantly by IkappaBalpha induction in all three pancreatic cell lines. To investigate molecular events during IkappaBalpha induction, we examined the changes in expression of drug-resistance-related genes by real-time RT-PCR and those in apoptosis-related genes by cDNA microarray. There was no common change of gene expression before and after IkappaBalpha induction among the three pancreatic cancer cell lines, except for mdm2. Further examination of other genes is necessary for a better understanding of the molecular mechanisms of enhancement of chemosensitivity through IkappaBalpha induction. However, we have confirmed that IkappaBalpha induction leads to an increase of chemosensitivity of pancreatic cancer. Many problems remain before clinical application of this adenoviral system will be feasible, but our results may ultimately lead to an improved therapy of pancreatic cancer.
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Affiliation(s)
- Toshiyuki Sato
- Department of Surgery, Hirosaki University School of Medicine, Hirosaki, Aomori 036-8216, Japan.
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