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Hendrix S, Zelcer N. A new SPRING in lipid metabolism. Curr Opin Lipidol 2023; 34:201-207. [PMID: 37548386 DOI: 10.1097/mol.0000000000000894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
PURPOSE OF REVIEW The SREBP transcription factors are master regulators of lipid homeostasis owing to their role in controlling cholesterol and fatty acid metabolism. The core machinery required to promote their trafficking and proteolytic activation has been established close to 20 years ago. In this review, we summarize the current understanding of a newly identified regulator of SREBP signaling, SPRING (formerly C12ORF49), its proposed mechanism of action, and its role in lipid metabolism. RECENT FINDINGS Using whole-genome functional genetic screens we, and others, have recently identified SPRING as a novel regulator of SREBP signaling. SPRING is a Golgi-resident single-pass transmembrane protein that is required for proteolytic activation of SREBPs in this compartment. Mechanistic studies identified regulation of S1P, the protease that cleaves SREBPs, and control of retrograde trafficking of the SREBP chaperone SCAP from the Golgi to the ER as processes requiring SPRING. Emerging studies suggest an important role for SPRING in regulating circulating and hepatic lipid levels in mice and potentially in humans. SUMMARY Current studies support the notion that SPRING is a novel component of the core SREBP-activating machinery. Additional studies are warranted to elucidate its role in cellular and systemic lipid metabolism.
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Affiliation(s)
- Sebastian Hendrix
- Department of Medical Biochemistry, Amsterdam UMC, Amsterdam Cardiovascular Sciences and Gastroenterology and Metabolism, University of Amsterdam, Meibergdreef 15, Amsterdam, the Netherlands
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Maciej-Hulme ML. New Insights Into Human Hyaluronidase 4/Chondroitin Sulphate Hydrolase. Front Cell Dev Biol 2021; 9:767924. [PMID: 34746156 PMCID: PMC8564380 DOI: 10.3389/fcell.2021.767924] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 09/27/2021] [Indexed: 11/17/2022] Open
Abstract
In this review, the current experimental evidence, literature and hypotheses surrounding hyaluronidase 4 [HYAL4, also known as chondroitin sulphate hydrolase (CHSE)] and chondroitin sulphate (CS) are explored. Originally named for its sequence similarity to other members of the hyaluronidase family, HYAL4 is actually a relatively distinct member of the family, particularly for its unique degradation of CS-D (2-O-, 6-O-sulphated CS) motifs and specific expression. Human HYAL4 protein expression and structural features are discussed in relation to different isoforms, activities, potential localisations and protein-protein interaction partners. CS proteoglycan targets of HYAL4 activity include: serglycin, aggrecan, CD44 and sulfatase 2, with other potential proteoglycans yet to be identified. Importantly, changes in HYAL4 expression changes in human disease have been described for testicular, bladder and kidney cancers, with gene mutations reported for several others including: leukaemia, endometrial, ovarian, colorectal, head and neck, stomach, lung and breast cancers. The HYAL4 gene also plays a role in P53 negative human cancer cell proliferation and is linked to stem cell naivety. However, its role in cancer remains relatively unexplored. Finally, current tools and techniques for the detection of specific HYAL4 activity in biological samples are critically assessed. Understanding the role of HYAL4 in human diseases will fortify our understanding of developmental processes and disease manifestation, ultimately providing novel diagnostic opportunities and therapeutic targets for drug discovery.
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3
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Oh S, Shin S, Janknecht R. Sumoylation of transcription factor ETV1 modulates its oncogenic potential in prostate cancer. INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL PATHOLOGY 2021; 14:795-810. [PMID: 34367411 PMCID: PMC8339722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Accepted: 06/21/2021] [Indexed: 06/13/2023]
Abstract
The transcription factor ETS variant 1 (ETV1) is capable of promoting prostate tumorigenesis. We demonstrate that ETV1 can be posttranslationally modified by covalent attachment of small ubiquitin-like modifier 1 (SUMO1) onto four different lysine residues. In human embryonic kidney 293T cells, mutation of these sumoylation sites stimulated the transactivation potential of ETV1 at the matrix metalloproteinase 1 (MMP1), but not Yes-associated protein 1 gene promoter, while ETV1 protein stability and intracellular localization remained unchanged. In stark contrast, sumoylation-deficient ETV1 was repressed in its ability to stimulate the MMP1 promoter and to cooperate with a histone demethylase, JmjC domain-containing 2A (JMJD2A), in LNCaP prostate cancer cells. Mutation of sumoylation sites enhanced the ability of ETV1 to interact with the histone deacetylase (HDAC) 1, but had basically no impact on complex formation with HDAC3 or JMJD2A. Further, compared to non-sumoylated ETV1, its sumoylated forms were less able to bind to the transcription factor, SMAD family member 4. Lastly, in contrast to wild-type ETV1, sumoylation-deficient ETV1 repressed LNCaP cell growth. Altogether, these data suggest that sumoylation modulates ETV1 function in a cell type-specific manner, possibly by altering the spectrum of transcriptional cofactors being recruited. Notably, SUMO pathway components SUMO1, ubiquitin-like modifier activating enzyme 2 and ubiquitin conjugating enzyme 9 were upregulated in prostate tumors, implying that enhanced sumoylation indeed promotes ETV1's oncogenic activity during prostate cancer formation.
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Affiliation(s)
- Sangphil Oh
- Department of Cell Biology, University of Oklahoma Health Sciences CenterOklahoma City, Oklahoma, USA
- Stephenson Cancer Center, University of Oklahoma Health Sciences CenterOklahoma City, Oklahoma, USA
| | - Sook Shin
- Department of Cell Biology, University of Oklahoma Health Sciences CenterOklahoma City, Oklahoma, USA
- Stephenson Cancer Center, University of Oklahoma Health Sciences CenterOklahoma City, Oklahoma, USA
| | - Ralf Janknecht
- Department of Cell Biology, University of Oklahoma Health Sciences CenterOklahoma City, Oklahoma, USA
- Stephenson Cancer Center, University of Oklahoma Health Sciences CenterOklahoma City, Oklahoma, USA
- Department of Pathology, University of Oklahoma Health Sciences CenterOklahoma City, Oklahoma, USA
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4
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Cai R, Chen X, Fang Y, Wu M, Hao Y. Dual-dropout graph convolutional network for predicting synthetic lethality in human cancers. Bioinformatics 2021; 36:4458-4465. [PMID: 32221609 DOI: 10.1093/bioinformatics/btaa211] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 03/02/2020] [Accepted: 03/25/2020] [Indexed: 12/20/2022] Open
Abstract
MOTIVATION Synthetic lethality (SL) is a promising form of gene interaction for cancer therapy, as it is able to identify specific genes to target at cancer cells without disrupting normal cells. As high-throughput wet-lab settings are often costly and face various challenges, computational approaches have become a practical complement. In particular, predicting SLs can be formulated as a link prediction task on a graph of interacting genes. Although matrix factorization techniques have been widely adopted in link prediction, they focus on mapping genes to latent representations in isolation, without aggregating information from neighboring genes. Graph convolutional networks (GCN) can capture such neighborhood dependency in a graph. However, it is still challenging to apply GCN for SL prediction as SL interactions are extremely sparse, which is more likely to cause overfitting. RESULTS In this article, we propose a novel dual-dropout GCN (DDGCN) for learning more robust gene representations for SL prediction. We employ both coarse-grained node dropout and fine-grained edge dropout to address the issue that standard dropout in vanilla GCN is often inadequate in reducing overfitting on sparse graphs. In particular, coarse-grained node dropout can efficiently and systematically enforce dropout at the node (gene) level, while fine-grained edge dropout can further fine-tune the dropout at the interaction (edge) level. We further present a theoretical framework to justify our model architecture. Finally, we conduct extensive experiments on human SL datasets and the results demonstrate the superior performance of our model in comparison with state-of-the-art methods. AVAILABILITY AND IMPLEMENTATION DDGCN is implemented in Python 3.7, open-source and freely available at https://github.com/CXX1113/Dual-DropoutGCN. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Ruichu Cai
- School of Computer Science, Guangdong University of Technology, Guangzhou 510006, China
| | - Xuexin Chen
- School of Computer Science, Guangdong University of Technology, Guangzhou 510006, China
| | - Yuan Fang
- School of Information Systems, Singapore Management University, 178902 Singapore
| | - Min Wu
- Institute for Infocomm Research (I2R), A*STAR, 138632 Singapore
| | - Yuexing Hao
- Computer Science Department, Rutgers Univeristy New Brunswick, New Brunswick, NJ 08854, USA
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5
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Yu X, Yang Q, Wang D, Li Z, Chen N, Kong DX. Predicting lung adenocarcinoma disease progression using methylation-correlated blocks and ensemble machine learning classifiers. PeerJ 2021; 9:e10884. [PMID: 33628643 PMCID: PMC7894106 DOI: 10.7717/peerj.10884] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 01/12/2021] [Indexed: 01/20/2023] Open
Abstract
Applying the knowledge that methyltransferases and demethylases can modify adjacent cytosine-phosphorothioate-guanine (CpG) sites in the same DNA strand, we found that combining multiple CpGs into a single block may improve cancer diagnosis. However, survival prediction remains a challenge. In this study, we developed a pipeline named "stacked ensemble of machine learning models for methylation-correlated blocks" (EnMCB) that combined Cox regression, support vector regression (SVR), and elastic-net models to construct signatures based on DNA methylation-correlated blocks for lung adenocarcinoma (LUAD) survival prediction. We used methylation profiles from the Cancer Genome Atlas (TCGA) as the training set, and profiles from the Gene Expression Omnibus (GEO) as validation and testing sets. First, we partitioned the genome into blocks of tightly co-methylated CpG sites, which we termed methylation-correlated blocks (MCBs). After partitioning and feature selection, we observed different diagnostic capacities for predicting patient survival across the models. We combined the multiple models into a single stacking ensemble model. The stacking ensemble model based on the top-ranked block had the area under the receiver operating characteristic curve of 0.622 in the TCGA training set, 0.773 in the validation set, and 0.698 in the testing set. When stratified by clinicopathological risk factors, the risk score predicted by the top-ranked MCB was an independent prognostic factor. Our results showed that our pipeline was a reliable tool that may facilitate MCB selection and survival prediction.
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Affiliation(s)
- Xin Yu
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, China
- Agricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Qian Yang
- Agricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Dong Wang
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, China
- Agricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Zhaoyang Li
- Agricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Nianhang Chen
- Agricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, Huazhong Agricultural University, Wuhan, Hubei, China
| | - De-Xin Kong
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, Hubei, China
- Agricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, Huazhong Agricultural University, Wuhan, Hubei, China
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6
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Oh S, Song H, Freeman WM, Shin S, Janknecht R. Cooperation between ETS transcription factor ETV1 and histone demethylase JMJD1A in colorectal cancer. Int J Oncol 2020; 57:1319-1332. [PMID: 33174020 PMCID: PMC7646594 DOI: 10.3892/ijo.2020.5133] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 10/05/2020] [Indexed: 12/18/2022] Open
Abstract
ETS variant 1 (ETV1) is an oncogenic transcription factor. However, its role in colorectal cancer has remained understudied. The present study demonstrated that ETV1 downregulation led to reduced HCT116 colorectal cancer cell growth and clonogenic activity. Furthermore, the ETV1 mRNA levels were enhanced in colorectal tumors and were associated with disease severity. In addition, ETV1 directly bound to Jumonji C domain-containing (JMJD) 1A, a histone demethylase known to promote colon cancer. ETV1 and JMJD1A, but not a catalytically inactive mutant thereof, cooperated in inducing the matrix metalloproteinase (MMP)1 gene promoter that was similar to the cooperation between ETV1 and another histone demethylase, JMJD2A. RNA-sequencing revealed multiple potential ETV1 target genes in HCT116 cells, including the FOXQ1 and TBX6 transcription factor genes. Moreover, JMJD1A co-regulated FOXQ1 and other ETV1 target genes, but not TBX6, whereas JMJD2A downregulation had no impact on FOXQ1 as well as TBX6 transcription. Accordingly, the FOXQ1 gene promoter was stimulated by ETV1 and JMJD1A in a cooperative manner, and both ETV1 and JMJD1A bound to the FOXQ1 promoter. Notably, the overexpression of FOXQ1 partially reversed the growth inhibitory effects of ETV1 ablation on HCT116 cells, whereas TBX6 impaired HCT116 cell growth and may thereby dampen the oncogenic activity of ETV1. The latter also revealed for the first time, to the best of our knowledge, a potential tumor suppressive function of TBX6. Taken together, the present study uncovered a ETV1/JMJD1A-FOXQ1 axis that may drive colorectal tumorigenesis.
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Affiliation(s)
- Sangphil Oh
- Department of Cell Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Hoogeun Song
- Department of Cell Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | | | - Sook Shin
- Department of Cell Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Ralf Janknecht
- Department of Cell Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
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7
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Novak J, Zamostna B, Vopalensky V, Buryskova M, Burysek L, Doleckova D, Pospisek M. Interleukin-1α associates with the tumor suppressor p53 following DNA damage. Sci Rep 2020; 10:6995. [PMID: 32332775 PMCID: PMC7181607 DOI: 10.1038/s41598-020-63779-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2019] [Accepted: 04/06/2020] [Indexed: 01/07/2023] Open
Abstract
Interleukin-1α (IL-1α) is a dual-function proinflammatory mediator. In addition to its role in the canonical IL-1 signaling pathway, which employs membrane-bound receptors, a growing body of evidence shows that IL-1α has some additional intracellular functions. We identified the interaction of IL-1α with the tumor suppressor p53 in the nuclei and cytoplasm of both malignant and noncancerous mammalian cell lines using immunoprecipitation and the in situ proximity ligation assay (PLA). This interaction was enhanced by treatment with the antineoplastic drug etoposide, which suggests a role for the IL-1α•p53 interaction in genotoxic stress.
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Affiliation(s)
- J Novak
- Department of Genetics and Microbiology, Faculty of Science, Charles University, Prague, Czech Republic
| | - B Zamostna
- Department of Genetics and Microbiology, Faculty of Science, Charles University, Prague, Czech Republic
| | - V Vopalensky
- Department of Genetics and Microbiology, Faculty of Science, Charles University, Prague, Czech Republic
| | - M Buryskova
- Protean s.r.o., Dobra Voda u Ceskych Budejovic, Czech Republic
| | - L Burysek
- Protean s.r.o., Dobra Voda u Ceskych Budejovic, Czech Republic
| | - D Doleckova
- Department of Genetics and Microbiology, Faculty of Science, Charles University, Prague, Czech Republic
| | - M Pospisek
- Department of Genetics and Microbiology, Faculty of Science, Charles University, Prague, Czech Republic.
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8
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Jariyal H, Weinberg F, Achreja A, Nagarath D, Srivastava A. Synthetic lethality: a step forward for personalized medicine in cancer. Drug Discov Today 2020; 25:305-320. [DOI: 10.1016/j.drudis.2019.11.014] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2019] [Revised: 11/06/2019] [Accepted: 11/27/2019] [Indexed: 12/15/2022]
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9
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Mues M, Karra L, Romero-Moya D, Wandler A, Hangauer MJ, Ksionda O, Thus Y, Lindenbergh M, Shannon K, McManus MT, Roose JP. High-Complexity shRNA Libraries and PI3 Kinase Inhibition in Cancer: High-Fidelity Synthetic Lethality Predictions. Cell Rep 2019; 27:631-647.e5. [PMID: 30970263 PMCID: PMC6690758 DOI: 10.1016/j.celrep.2019.03.045] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2017] [Revised: 10/11/2018] [Accepted: 03/13/2019] [Indexed: 12/24/2022] Open
Abstract
Deregulated signal transduction is a cancer hallmark, and its complexity and interconnectivity imply that combination therapy should be considered, but large data volumes that cover the complexity are required in user-friendly ways. Here, we present a searchable database resource of synthetic lethality with a PI3 kinase signal transduction inhibitor by performing a saturation screen with an ultra-complex shRNA library containing 30 independent shRNAs per gene target. We focus on Ras-PI3 kinase signaling with T cell leukemia as a screening platform for multiple clinical and experimental reasons. Our resource predicts multiple combination-based therapies with high fidelity, ten of which we confirmed with small molecule inhibitors. Included are biochemical assays, as well as the IPI145 (duvelisib) inhibitor. We uncover the mechanism of synergy between the PI3 kinase inhibitor GDC0941 (pictilisib) and the tubulin inhibitor vincristine and demonstrate broad synergy in 28 cell lines of 5 cancer types and efficacy in preclinical leukemia mouse trials.
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Affiliation(s)
- Marsilius Mues
- Department of Anatomy, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Laila Karra
- Department of Anatomy, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Damia Romero-Moya
- Department of Anatomy, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Anica Wandler
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Matthew J Hangauer
- Diabetes Center, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Olga Ksionda
- Department of Anatomy, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Yvonne Thus
- Department of Anatomy, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Marthe Lindenbergh
- Department of Anatomy, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Kevin Shannon
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Michael T McManus
- Diabetes Center, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Jeroen P Roose
- Department of Anatomy, University of California, San Francisco, San Francisco, CA 94143, USA.
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10
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The Impact of p53 Dysfunction in ATR Inhibitor Cytotoxicity and Chemo- and Radiosensitisation. Cancers (Basel) 2018; 10:cancers10080275. [PMID: 30127241 PMCID: PMC6116113 DOI: 10.3390/cancers10080275] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Revised: 07/27/2018] [Accepted: 08/14/2018] [Indexed: 01/24/2023] Open
Abstract
Ataxia telangiectasia mutated and Rad3 related kinase (ATR) signals replication stress and DNA damage to S and G2 arrest and promotes DNA repair. Mutations in p53, critical for G1 checkpoint control, are common in cancer and predicted to confer vulnerability to ATR inhibitors. Reported data on the impact of p53 status are variable possibly because of the use of unmatched cells and surrogate endpoints of survival. The cytotoxicity of VE-821 alone and its ability to potentiate radiation and gemcitabine cytotoxicity was determined in isogenic and unmatched p53 wild-type (wt) and null/mutant cells, as well as immortalised nonmalignant MCF10 (immortalised non-neoplastic) cells, by colony-forming assay. The effect on cell cycle checkpoints was determined by flow cytometry. The isogenic p53 defective cells were not more sensitive to VE-821 alone. Defective p53 consistently conferred greater chemo- and radiosensitisation, particularly at high dose levels in isogenic cells but not unmatched cells. VE-821 did not sensitise MCF10 cells. We conclude that p53 status is just one factor contributing to chemo- and radiosensitisation by ATR inhibition, the lack of chemo- or radiosensitisation in the noncancerous cells suggests an element of tumour-specificity that warrants further investigation. The greater sensitisation at high-dose irradiation suggests that ATR inhibitors may be most effective with hypofractionated radiotherapy.
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11
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Klusmann I, Rodewald S, Müller L, Friedrich M, Wienken M, Li Y, Schulz-Heddergott R, Dobbelstein M. p53 Activity Results in DNA Replication Fork Processivity. Cell Rep 2017; 17:1845-1857. [PMID: 27829155 DOI: 10.1016/j.celrep.2016.10.036] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2016] [Revised: 09/03/2016] [Accepted: 10/12/2016] [Indexed: 12/18/2022] Open
Abstract
p53 induces cell death upon DNA damage, but this may not confer all of its tumor suppressor activity. We report that p53 activation enhances the processivity of DNA replication, as monitored by multi-label fiber assays, whereas removal of p53 reduces fork progression. This is observed in tumor-derived U2OS cells but also in murine embryonic fibroblasts with heterozygous or homozygous p53 deletion and in freshly isolated thymocytes from mice with differential p53 status. Mdm2, a p53-inducible gene product, similarly supports DNA replication even in p53-deficient cells, suggesting that sustained Mdm2-expression is at least one of the mechanisms allowing p53 to prevent replicative stress. Thus, p53 helps to protect the genome during S phase, by preventing the occurrence of stalled or collapsed replication forks. These results expand p53's tumor-suppressive functions, adding to the ex-post model (elimination of damaged cells) an ex-ante activity; i.e., the prevention of DNA damage during replication.
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Affiliation(s)
- Ina Klusmann
- Institute of Molecular Oncology, Göttingen Center of Molecular Biosciences (GZMB), University Medical Center Göttingen, 37077 Göttingen, Germany
| | - Sabrina Rodewald
- Institute of Molecular Oncology, Göttingen Center of Molecular Biosciences (GZMB), University Medical Center Göttingen, 37077 Göttingen, Germany
| | - Leonie Müller
- Institute of Molecular Oncology, Göttingen Center of Molecular Biosciences (GZMB), University Medical Center Göttingen, 37077 Göttingen, Germany
| | - Mascha Friedrich
- Institute of Molecular Oncology, Göttingen Center of Molecular Biosciences (GZMB), University Medical Center Göttingen, 37077 Göttingen, Germany
| | - Magdalena Wienken
- Institute of Molecular Oncology, Göttingen Center of Molecular Biosciences (GZMB), University Medical Center Göttingen, 37077 Göttingen, Germany
| | - Yizhu Li
- Institute of Molecular Oncology, Göttingen Center of Molecular Biosciences (GZMB), University Medical Center Göttingen, 37077 Göttingen, Germany
| | - Ramona Schulz-Heddergott
- Institute of Molecular Oncology, Göttingen Center of Molecular Biosciences (GZMB), University Medical Center Göttingen, 37077 Göttingen, Germany
| | - Matthias Dobbelstein
- Institute of Molecular Oncology, Göttingen Center of Molecular Biosciences (GZMB), University Medical Center Göttingen, 37077 Göttingen, Germany.
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A role for Tau protein in maintaining ribosomal DNA stability and cytidine deaminase-deficient cell survival. Nat Commun 2017; 8:693. [PMID: 28947735 PMCID: PMC5612969 DOI: 10.1038/s41467-017-00633-1] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2017] [Accepted: 07/14/2017] [Indexed: 12/20/2022] Open
Abstract
Cells from Bloom’s syndrome patients display genome instability due to a defective BLM and the downregulation of cytidine deaminase. Here, we use a genome-wide RNAi-synthetic lethal screen and transcriptomic profiling to identify genes enabling BLM-deficient and/or cytidine deaminase-deficient cells to tolerate constitutive DNA damage and replication stress. We found a synthetic lethal interaction between cytidine deaminase and microtubule-associated protein Tau deficiencies. Tau is overexpressed in cytidine deaminase-deficient cells, and its depletion worsens genome instability, compromising cell survival. Tau is recruited, along with upstream-binding factor, to ribosomal DNA loci. Tau downregulation decreases upstream binding factor recruitment, ribosomal RNA synthesis, ribonucleotide levels, and affects ribosomal DNA stability, leading to the formation of a new subclass of human ribosomal ultrafine anaphase bridges. We describe here Tau functions in maintaining survival of cytidine deaminase-deficient cells, and ribosomal DNA transcription and stability. Moreover, our findings for cancer tissues presenting concomitant cytidine deaminase underexpression and Tau upregulation open up new possibilities for anti-cancer treatment. Cytidine deaminase (CDA) deficiency leads to genome instability. Here the authors find a synthetic lethal interaction between CDA and the microtubule-associated protein Tau deficiencies, and report that Tau depletion affects rRNA synthesis, ribonucleotide pool balance, and rDNA stability.
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Zhu X, Zhang X, Ye Z, Chen Y, Lv L, Zhang X, Hu H. Silencing of semaphorin 3C suppresses cell proliferation and migration in MCF-7 breast cancer cells. Oncol Lett 2017; 14:5913-5917. [PMID: 29113226 PMCID: PMC5661468 DOI: 10.3892/ol.2017.6920] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2016] [Accepted: 05/16/2017] [Indexed: 01/01/2023] Open
Abstract
Previous studies have suggested that semaphorin 3C (SEMA3C) is involved in the tumorigenesis and metastasis of a number of types of cancer. The aim of the present study was to investigate the role of SEMA3C in the proliferation and migration of MCF-7 breast cancer cells. Small interfering (si)RNA sequences targeting SEMA3C were constructed and transfected into MCF-7 cells in order to silence the expression of SEMA3C. Cell proliferation and migration were measured using CCK-8 and Transwell assays, respectively. Transfection with SEMA3C siRNA significantly downregulated the expression of SEMA3C in MCF-7 cells, and significantly suppressed cell proliferation and migration. Therefore, SEMA3C-targeted siRNA may be of potential use for the early diagnosis and treatment of breast cancer.
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Affiliation(s)
- Xiaofang Zhu
- Department of Rheumatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, P.R. China
| | - Xiangjian Zhang
- Department of Surgical Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, P.R. China
| | - Zhiqiang Ye
- Department of Surgical Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, P.R. China
| | - Yizuo Chen
- Department of Surgical Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, P.R. China
| | - Lin Lv
- Department of Surgical Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, P.R. China
| | - Xiaohua Zhang
- Department of Surgical Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, P.R. China
| | - Hongye Hu
- Department of Surgical Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, P.R. China
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14
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Zacksenhaus E, Liu J, Jiang Z, Yao Y, Xia L, Shrestha M, Ben-David Y. Transcription Factors in Breast Cancer—Lessons From Recent Genomic Analyses and Therapeutic Implications. CHROMATIN PROTEINS AND TRANSCRIPTION FACTORS AS THERAPEUTIC TARGETS 2017; 107:223-273. [DOI: 10.1016/bs.apcsb.2016.10.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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15
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Chan WH, Mohamad MS, Deris S, Zaki N, Kasim S, Omatu S, Corchado JM, Al Ashwal H. Identification of informative genes and pathways using an improved penalized support vector machine with a weighting scheme. Comput Biol Med 2016; 77:102-15. [PMID: 27522238 DOI: 10.1016/j.compbiomed.2016.08.004] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2016] [Revised: 08/03/2016] [Accepted: 08/03/2016] [Indexed: 01/03/2023]
Abstract
Incorporation of pathway knowledge into microarray analysis has brought better biological interpretation of the analysis outcome. However, most pathway data are manually curated without specific biological context. Non-informative genes could be included when the pathway data is used for analysis of context specific data like cancer microarray data. Therefore, efficient identification of informative genes is inevitable. Embedded methods like penalized classifiers have been used for microarray analysis due to their embedded gene selection. This paper proposes an improved penalized support vector machine with absolute t-test weighting scheme to identify informative genes and pathways. Experiments are done on four microarray data sets. The results are compared with previous methods using 10-fold cross validation in terms of accuracy, sensitivity, specificity and F-score. Our method shows consistent improvement over the previous methods and biological validation has been done to elucidate the relation of the selected genes and pathway with the phenotype under study.
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Affiliation(s)
- Weng Howe Chan
- Artificial Intelligence and Bioinformatics Research Group, Faculty of Computing, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia
| | - Mohd Saberi Mohamad
- Artificial Intelligence and Bioinformatics Research Group, Faculty of Computing, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia.
| | - Safaai Deris
- Faculty of Creative Technology & Heritage, Universiti Malaysia Kelantan, Locked Bag 01, Bachok, 16300 Kota Bharu, Kelantan, Malaysia
| | - Nazar Zaki
- College of Information Technology, United Arab Emirate University, Al Ain 15551, United Arab Emirates
| | - Shahreen Kasim
- Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, 86400 Batu Pahat, Malaysia
| | - Sigeru Omatu
- Department of Electronics, Information and Communication Engineering, Osaka Institute of Technology, Osaka 535-8585, Japan
| | - Juan Manuel Corchado
- Biomedical Research Institute of Salamanca/BISITE Research Group, University of Salamanca, Salamanca, Spain
| | - Hany Al Ashwal
- College of Information Technology, United Arab Emirate University, Al Ain 15551, United Arab Emirates
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16
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Pedanou VE, Gobeil S, Tabariès S, Simone TM, Zhu LJ, Siegel PM, Green MR. The histone H3K9 demethylase KDM3A promotes anoikis by transcriptionally activating pro-apoptotic genes BNIP3 and BNIP3L. eLife 2016; 5. [PMID: 27472901 PMCID: PMC4991936 DOI: 10.7554/elife.16844] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2016] [Accepted: 07/28/2016] [Indexed: 01/03/2023] Open
Abstract
Epithelial cells that lose attachment to the extracellular matrix undergo a specialized form of apoptosis called anoikis. Here, using large-scale RNA interference (RNAi) screening, we find that KDM3A, a histone H3 lysine 9 (H3K9) mono- and di-demethylase, plays a pivotal role in anoikis induction. In attached breast epithelial cells, KDM3A expression is maintained at low levels by integrin signaling. Following detachment, integrin signaling is decreased resulting in increased KDM3A expression. RNAi-mediated knockdown of KDM3A substantially reduces apoptosis following detachment and, conversely, ectopic expression of KDM3A induces cell death in attached cells. We find that KDM3A promotes anoikis through transcriptional activation of BNIP3 and BNIP3L, which encode pro-apoptotic proteins. Using mouse models of breast cancer metastasis we show that knockdown of Kdm3a enhances metastatic potential. Finally, we find defective KDM3A expression in human breast cancer cell lines and tumors. Collectively, our results reveal a novel transcriptional regulatory program that mediates anoikis. DOI:http://dx.doi.org/10.7554/eLife.16844.001 Epithelial cells line the inside of blood vessels, intestines and other organs throughout the body. Any epithelial cells that become detached from their natural surroundings die by a process called anoikis (a Greek word meaning “being without a home”). This process has an important role in preventing cancer from spreading around the body because it eliminates cells that are not in their proper environment. However, some cancers that start from epithelial cells, such as breast cancer, develop resistance to anoikis. Gaining a better understanding of the cellular factors that regulate anoikis, and how resistance develops, may reveal new drug targets for the treatment of breast cancer. Previous studies found proteins called BIM and BMF promote anoikis by inducing cell suicide. However, it is possible that other factors can also promote this process in different ways. Pedanou et al. performed a large-scale genetic screen in human breast epithelial cells and identified several new factors that promote anoikis. Inside our cells, DNA is packaged around proteins called histones, which can influence whether a gene is switched on or off. One of the factors Pedanou et al. identified is a protein called KDM3A that can remove small chemical groups (known as methyl groups) from histones – a process that is known to switch on genes. Further experiments show that epithelial cells in their natural surroundings only produce low levels of KDM3A, but that the levels of this protein increase if these cells become detached. This promotes anoikis by activating two genes called BNIP3 and BNIP3L that induce cell suicide. However, KDM3A levels are low in human breast cancers, which suggests that these cancers become resistant to anoikis by preventing increases in KDM3A production. Using a mouse model of breast cancer, Pedanou et al. found that switching off KDM3A in cancer cells increases their ability to move around the body. Collectively, these findings reveal a new mechanism that triggers anoikis in normal breast epithelial cells and is disabled during breast cancer development. Future challenges are to identify factors that directly regulate the production of KDM3A, and to understand how these factors are manipulated in breast cancer cells to cause anoikis resistance. DOI:http://dx.doi.org/10.7554/eLife.16844.002
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Affiliation(s)
- Victoria E Pedanou
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Medical School, Worcester, United States.,Howard Hughes Medical Institute, University of Massachusetts Medical School, Worcester, United States
| | - Stéphane Gobeil
- Department of Molecular Medicine, Université Laval, Quebec City, Canada.,Centre de recherche du CHU de Québec, CHUL, Québec PQ, Canada
| | - Sébastien Tabariès
- Department of Medicine, Goodman Cancer Research Centre, McGill University, Montreal, Canada
| | - Tessa M Simone
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Medical School, Worcester, United States.,Howard Hughes Medical Institute, University of Massachusetts Medical School, Worcester, United States
| | - Lihua Julie Zhu
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Medical School, Worcester, United States.,Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, United States.,Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, United States
| | - Peter M Siegel
- Department of Medicine, Goodman Cancer Research Centre, McGill University, Montreal, Canada
| | - Michael R Green
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Medical School, Worcester, United States.,Howard Hughes Medical Institute, University of Massachusetts Medical School, Worcester, United States
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17
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Gayvert KM, Dardenne E, Cheung C, Boland MR, Lorberbaum T, Wanjala J, Chen Y, Rubin MA, Tatonetti NP, Rickman DS, Elemento O. A Computational Drug Repositioning Approach for Targeting Oncogenic Transcription Factors. Cell Rep 2016; 15:2348-56. [PMID: 27264179 DOI: 10.1016/j.celrep.2016.05.037] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2015] [Revised: 03/18/2016] [Accepted: 05/07/2016] [Indexed: 02/06/2023] Open
Abstract
Mutations in transcription factor (TF) genes are frequently observed in tumors, often leading to aberrant transcriptional activity. Unfortunately, TFs are often considered undruggable due to the absence of targetable enzymatic activity. To address this problem, we developed CRAFTT, a computational drug-repositioning approach for targeting TF activity. CRAFTT combines ChIP-seq with drug-induced expression profiling to identify small molecules that can specifically perturb TF activity. Application to ENCODE ChIP-seq datasets revealed known drug-TF interactions, and a global drug-protein network analysis supported these predictions. Application of CRAFTT to ERG, a pro-invasive, frequently overexpressed oncogenic TF, predicted that dexamethasone would inhibit ERG activity. Dexamethasone significantly decreased cell invasion and migration in an ERG-dependent manner. Furthermore, analysis of electronic medical record data indicates a protective role for dexamethasone against prostate cancer. Altogether, our method provides a broadly applicable strategy for identifying drugs that specifically modulate TF activity.
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Affiliation(s)
- Kaitlyn M Gayvert
- Institute for Computational Biomedicine, Department of Physiology and Biophysics, Weill Cornell Medical College, New York, NY 10021, USA; Institute for Precision Medicine, Weill Cornell Medical College, New York, NY 10021, USA; Tri-Institutional Training Program in Computational Biology and Medicine, New York, NY 10065, USA
| | - Etienne Dardenne
- Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, NY 10021, USA
| | - Cynthia Cheung
- Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, NY 10021, USA
| | - Mary Regina Boland
- Department of Biomedical Informatics, Columbia University, New York, NY 10027, USA
| | - Tal Lorberbaum
- Department of Biomedical Informatics, Columbia University, New York, NY 10027, USA; Department of Physiology and Cellular Biophysics, Columbia University, New York, NY 10032, USA
| | - Jackline Wanjala
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Yu Chen
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Mark A Rubin
- Institute for Precision Medicine, Weill Cornell Medical College, New York, NY 10021, USA; Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, NY 10021, USA
| | - Nicholas P Tatonetti
- Department of Biomedical Informatics, Columbia University, New York, NY 10027, USA
| | - David S Rickman
- Institute for Precision Medicine, Weill Cornell Medical College, New York, NY 10021, USA; Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, NY 10021, USA.
| | - Olivier Elemento
- Institute for Computational Biomedicine, Department of Physiology and Biophysics, Weill Cornell Medical College, New York, NY 10021, USA; Institute for Precision Medicine, Weill Cornell Medical College, New York, NY 10021, USA.
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18
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Falkenberg KJ, Newbold A, Gould CM, Luu J, Trapani JA, Matthews GM, Simpson KJ, Johnstone RW. A genome scale RNAi screen identifies GLI1 as a novel gene regulating vorinostat sensitivity. Cell Death Differ 2016; 23:1209-18. [PMID: 26868908 DOI: 10.1038/cdd.2015.175] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2014] [Revised: 12/18/2015] [Accepted: 12/22/2015] [Indexed: 12/28/2022] Open
Abstract
Vorinostat is an FDA-approved histone deacetylase inhibitor (HDACi) that has proven clinical success in some patients; however, it remains unclear why certain patients remain unresponsive to this agent and other HDACis. Constitutive STAT (signal transducer and activator of transcription) activation, overexpression of prosurvival Bcl-2 proteins and loss of HR23B have been identified as potential biomarkers of HDACi resistance; however, none have yet been used to aid the clinical utility of HDACi. Herein, we aimed to further elucidate vorinostat-resistance mechanisms through a functional genomics screen to identify novel genes that when knocked down by RNA interference (RNAi) sensitized cells to vorinostat-induced apoptosis. A synthetic lethal functional screen using a whole-genome protein-coding RNAi library was used to identify genes that when knocked down cooperated with vorinostat to induce tumor cell apoptosis in otherwise resistant cells. Through iterative screening, we identified 10 vorinostat-resistance candidate genes that sensitized specifically to vorinostat. One of these vorinostat-resistance genes was GLI1, an oncogene not previously known to regulate the activity of HDACi. Treatment of vorinostat-resistant cells with the GLI1 small-molecule inhibitor, GANT61, phenocopied the effect of GLI1 knockdown. The mechanism by which GLI1 loss of function sensitized tumor cells to vorinostat-induced apoptosis is at least in part through interactions with vorinostat to alter gene expression in a manner that favored apoptosis. Upon GLI1 knockdown and vorinostat treatment, BCL2L1 expression was repressed and overexpression of BCL2L1 inhibited GLI1-knockdown-mediated vorinostat sensitization. Taken together, we present the identification and characterization of GLI1 as a new HDACi resistance gene, providing a strong rationale for development of GLI1 inhibitors for clinical use in combination with HDACi therapy.
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Affiliation(s)
- K J Falkenberg
- Cancer Therapeutics Program, The Peter MacCallum Cancer Centre, St Andrews Place, East Melbourne, VIC 3002, Australia
| | - A Newbold
- Cancer Therapeutics Program, The Peter MacCallum Cancer Centre, St Andrews Place, East Melbourne, VIC 3002, Australia
| | - C M Gould
- Victorian Centre for Functional Genomics, The Peter MacCallum Cancer Centre, St Andrews Place, East Melbourne, VIC 3002, Australia
| | - J Luu
- Victorian Centre for Functional Genomics, The Peter MacCallum Cancer Centre, St Andrews Place, East Melbourne, VIC 3002, Australia
| | - J A Trapani
- Cancer Immunology Program, The Peter MacCallum Cancer Centre, St Andrews Place, East Melbourne, VIC 3002, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC 3052, Australia
| | - G M Matthews
- Cancer Therapeutics Program, The Peter MacCallum Cancer Centre, St Andrews Place, East Melbourne, VIC 3002, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC 3052, Australia
| | - K J Simpson
- Victorian Centre for Functional Genomics, The Peter MacCallum Cancer Centre, St Andrews Place, East Melbourne, VIC 3002, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC 3052, Australia
| | - R W Johnstone
- Cancer Therapeutics Program, The Peter MacCallum Cancer Centre, St Andrews Place, East Melbourne, VIC 3002, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC 3052, Australia
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19
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Xiao G, Kue P, Bhosle R, Bargonetti J. Decarbamoyl mitomycin C (DMC) activates p53-independent ataxia telangiectasia and rad3 related protein (ATR) chromatin eviction. Cell Cycle 2015; 14:744-54. [PMID: 25565400 PMCID: PMC4418290 DOI: 10.1080/15384101.2014.997517] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
Interstrand crosslinks induce DNA replication fork stalling that in turn activates the ATR-dependent checkpoint and DNA repair on nuclear chromatin. Mitomycin C (MC) and Decarbamoyl Mitomycin C (DMC) induce different types of DNA crosslinks with DMC being a more cytotoxic agent. We previously reported that the novel DMC induced β–interstrand DNA crosslinks induce a p53-independent form of cell death. The p53-independent DMC cytotoxicity associates with the activation, and subsequent depletion, of Chk1. In this study we further dissect the novel DMC signal transduction pathway and asked how it influences chromatin-associated proteins. We found that treatment with DMC, but not MC, stimulated the disassociation of ATR from chromatin and re-localization of ATR to the cytoplasm. The chromatin eviction of ATR was coupled with the formation of nuclear Rad51 foci and the phosphorylation of Chk1. Furthermore, DMC but not MC, activated expression of gadd45α mRNA. Importantly, knocking down p53 via shRNA did not inhibit the DMC-induced disassociation of ATR from chromatin or reduce the activation of transcription of gadd45α. Our results suggest that DMC induces a p53-independent disassociation of ATR from chromatin that facilitates Chk1 checkpoint activation and Rad51 chromatin recruitment. Our findings provide evidence that ATR chromatin eviction in breast cancer cells is an area of study that should be focused on for inducing p53-independent cell death.
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Key Words
- ATR
- ATR, Ataxia Telangiectasia and Rad3 Related
- Cdc25, cell division cycle 25.
- ChIP, chromatin immunoprecipitation
- Chk1, checkpoint serine/threonine protein kinase 1
- DDR, DNA damage response
- DMC, Decarbamoyl Mitomycin C
- DOX, doxycycline
- HR, homologous recombination
- ICLs, interstrand cross-links
- MC, Mitomycin C
- NER, nuclear excision repair
- PCNA, Proliferating Cell Nuclear Antigen
- RPA, replication protein A
- TNBCs, triple negative breast cancers
- breast cancer
- cell death
- chromatin
- interstrand crosslink
- mitomycin C
- p53
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Affiliation(s)
- Gu Xiao
- a Department of Biological Sciences; Hunter College and The Graduate Center Biology Program ; City University of New York ; New York , NY USA
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20
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Gurpinar E, Vousden KH. Hitting cancers' weak spots: vulnerabilities imposed by p53 mutation. Trends Cell Biol 2015; 25:486-95. [PMID: 25960041 DOI: 10.1016/j.tcb.2015.04.001] [Citation(s) in RCA: 71] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2015] [Revised: 03/27/2015] [Accepted: 04/01/2015] [Indexed: 12/23/2022]
Abstract
The tumor suppressor protein p53 plays a critical role in limiting malignant development and progression. Almost all cancers show loss of p53 function, through either mutation in the p53 gene itself or defects in the mechanisms that activate p53. While reactivation of p53 can effectively limit tumor growth, this is a difficult therapeutic goal to achieve in the many cancers that do not retain wild type p53. An alternative approach focuses on identifying vulnerabilities imposed on cancers by virtue of the loss of or alterations in p53, to identify additional pathways that can be targeted to specifically kill or inhibit the growth of p53 mutated cells. These indirect ways of exploiting mutations in p53 - which occur in more than half of all human cancers - provide numerous exciting therapeutic possibilities.
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21
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Vymětalová L, Kryštof V. Potential Clinical Uses of CDK Inhibitors: Lessons from Synthetic Lethality Screens. Med Res Rev 2015; 35:1156-74. [DOI: 10.1002/med.21354] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2014] [Revised: 04/24/2015] [Accepted: 05/23/2015] [Indexed: 01/03/2023]
Affiliation(s)
- Ladislava Vymětalová
- Laboratory of Growth Regulators; Centre of the Region Haná for Biotechnological and Agricultural Research, Palacký University and Institute of Experimental Botany AS CR; Šlechtitelů 11 CZ-78371 Olomouc Czech Republic
| | - Vladimír Kryštof
- Laboratory of Growth Regulators; Centre of the Region Haná for Biotechnological and Agricultural Research, Palacký University and Institute of Experimental Botany AS CR; Šlechtitelů 11 CZ-78371 Olomouc Czech Republic
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22
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Canaani D. Application of the concept synthetic lethality toward anticancer therapy: A promise fulfilled? Cancer Lett 2014; 352:59-65. [DOI: 10.1016/j.canlet.2013.08.019] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2013] [Revised: 08/02/2013] [Accepted: 08/12/2013] [Indexed: 11/24/2022]
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23
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Falkenberg KJ, Gould CM, Johnstone RW, Simpson KJ. Genome-wide functional genomic and transcriptomic analyses for genes regulating sensitivity to vorinostat. Sci Data 2014; 1:140017. [PMID: 25977774 PMCID: PMC4322586 DOI: 10.1038/sdata.2014.17] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2014] [Accepted: 06/12/2014] [Indexed: 12/21/2022] Open
Abstract
Identification of mechanisms of resistance to histone deacetylase inhibitors, such as vorinostat, is important in order to utilise these anticancer compounds more efficiently in the clinic. Here, we present a dataset containing multiple tiers of stringent siRNA screening for genes that when knocked down conferred sensitivity to vorinostat-induced cell death. We also present data from a miRNA overexpression screen for miRNAs contributing to vorinostat sensitivity. Furthermore, we provide transcriptomic analysis using massively parallel sequencing upon knockdown of 14 validated vorinostat-resistance genes. These datasets are suitable for analysis of genes and miRNAs involved in cell death in the presence and absence of vorinostat as well as computational biology approaches to identify gene regulatory networks.
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Affiliation(s)
- Katrina J Falkenberg
- Cancer Therapeutic Program, The Peter MacCallum Cancer Centre , St Andrews Place, East Melbourne, Victoria 3002, Australia
| | - Cathryn M Gould
- Victorian Centre for Functional Genomics, The Peter MacCallum Cancer Centre , St Andrews Place, East Melbourne, Victoria 3002, Australia
| | - Ricky W Johnstone
- Cancer Therapeutic Program, The Peter MacCallum Cancer Centre , St Andrews Place, East Melbourne, Victoria 3002, Australia ; Sir Peter MacCallum Department of Oncology, The University of Melbourne , Parkville, Victoria 3052, Australia
| | - Kaylene J Simpson
- Victorian Centre for Functional Genomics, The Peter MacCallum Cancer Centre , St Andrews Place, East Melbourne, Victoria 3002, Australia ; Sir Peter MacCallum Department of Oncology, The University of Melbourne , Parkville, Victoria 3052, Australia
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24
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Heidenreich B, Rachakonda PS, Hemminki K, Kumar R. TERT promoter mutations in cancer development. Curr Opin Genet Dev 2013; 24:30-7. [PMID: 24657534 DOI: 10.1016/j.gde.2013.11.005] [Citation(s) in RCA: 175] [Impact Index Per Article: 15.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2013] [Revised: 10/18/2013] [Accepted: 11/03/2013] [Indexed: 12/20/2022]
Abstract
Human telomerase reverse transcriptase (TERT) encodes a rate-limiting catalytic subunit of telomerase that maintains genomic integrity. TERT expression is mostly repressed in somatic cells with exception of proliferative cells in self-renewing tissues and cancer. Immortality associated with cancer cells has been attributed to telomerase over-expression. The precise mechanism behind the TERT activation in cancers has mostly remained unknown. The newly described germline and recurrent somatic mutations in melanoma and other cancers in the TERT promoter that create de novo E-twenty six/ternary complex factors (Ets/TCF) binding sites, provide an insight into the possible cause of tumor-specific increased TERT expression. In this review we discuss the discovery and possible implications of the TERT promoter mutations in melanoma and other cancers.
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Affiliation(s)
- Barbara Heidenreich
- Division of Molecular Genetic Epidemiology, German Cancer Research Center, Im Neuenheimer Feld 580, 69120 Heidelberg, Germany
| | - P Sivaramakrishna Rachakonda
- Division of Molecular Genetic Epidemiology, German Cancer Research Center, Im Neuenheimer Feld 580, 69120 Heidelberg, Germany
| | - Kari Hemminki
- Division of Molecular Genetic Epidemiology, German Cancer Research Center, Im Neuenheimer Feld 580, 69120 Heidelberg, Germany; Center for Primary Health Care Research, Lund University, Malmö, Sweden
| | - Rajiv Kumar
- Division of Molecular Genetic Epidemiology, German Cancer Research Center, Im Neuenheimer Feld 580, 69120 Heidelberg, Germany.
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25
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Sajesh BV, Guppy BJ, McManus KJ. Synthetic genetic targeting of genome instability in cancer. Cancers (Basel) 2013; 5:739-61. [PMID: 24202319 PMCID: PMC3795363 DOI: 10.3390/cancers5030739] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2013] [Revised: 06/03/2013] [Accepted: 06/06/2013] [Indexed: 12/20/2022] Open
Abstract
Cancer is a leading cause of death throughout the World. A limitation of many current chemotherapeutic approaches is that their cytotoxic effects are not restricted to cancer cells, and adverse side effects can occur within normal tissues. Consequently, novel strategies are urgently needed to better target cancer cells. As we approach the era of personalized medicine, targeting the specific molecular defect(s) within a given patient's tumor will become a more effective treatment strategy than traditional approaches that often target a given cancer type or sub-type. Synthetic genetic interactions are now being examined for their therapeutic potential and are designed to target the specific genetic and epigenetic phenomena associated with tumor formation, and thus are predicted to be highly selective. In general, two complementary approaches have been employed, including synthetic lethality and synthetic dosage lethality, to target aberrant expression and/or function associated with tumor suppressor genes and oncogenes, respectively. Here we discuss the concepts of synthetic lethality and synthetic dosage lethality, and explain three general experimental approaches designed to identify novel genetic interactors. We present examples and discuss the merits and caveats of each approach. Finally, we provide insight into the subsequent pre-clinical work required to validate novel candidate drug targets.
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Affiliation(s)
- Babu V Sajesh
- Manitoba Institute of Cell Biology, Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, Manitoba R3E 0V9, Canada.
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