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MacLean MR, Walker OL, Arun RP, Fernando W, Marcato P. Informed by Cancer Stem Cells of Solid Tumors: Advances in Treatments Targeting Tumor-Promoting Factors and Pathways. Int J Mol Sci 2024; 25:4102. [PMID: 38612911 PMCID: PMC11012648 DOI: 10.3390/ijms25074102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 03/30/2024] [Accepted: 04/02/2024] [Indexed: 04/14/2024] Open
Abstract
Cancer stem cells (CSCs) represent a subpopulation within tumors that promote cancer progression, metastasis, and recurrence due to their self-renewal capacity and resistance to conventional therapies. CSC-specific markers and signaling pathways highly active in CSCs have emerged as a promising strategy for improving patient outcomes. This review provides a comprehensive overview of the therapeutic targets associated with CSCs of solid tumors across various cancer types, including key molecular markers aldehyde dehydrogenases, CD44, epithelial cellular adhesion molecule, and CD133 and signaling pathways such as Wnt/β-catenin, Notch, and Sonic Hedgehog. We discuss a wide array of therapeutic modalities ranging from targeted antibodies, small molecule inhibitors, and near-infrared photoimmunotherapy to advanced genetic approaches like RNA interference, CRISPR/Cas9 technology, aptamers, antisense oligonucleotides, chimeric antigen receptor (CAR) T cells, CAR natural killer cells, bispecific T cell engagers, immunotoxins, drug-antibody conjugates, therapeutic peptides, and dendritic cell vaccines. This review spans developments from preclinical investigations to ongoing clinical trials, highlighting the innovative targeting strategies that have been informed by CSC-associated pathways and molecules to overcome therapeutic resistance. We aim to provide insights into the potential of these therapies to revolutionize cancer treatment, underscoring the critical need for a multi-faceted approach in the battle against cancer. This comprehensive analysis demonstrates how advances made in the CSC field have informed significant developments in novel targeted therapeutic approaches, with the ultimate goal of achieving more effective and durable responses in cancer patients.
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Affiliation(s)
- Maya R. MacLean
- Department of Pathology, Dalhousie University, Halifax, NS B3H 4R2, Canada; (M.R.M.); (O.L.W.); (R.P.A.); (W.F.)
| | - Olivia L. Walker
- Department of Pathology, Dalhousie University, Halifax, NS B3H 4R2, Canada; (M.R.M.); (O.L.W.); (R.P.A.); (W.F.)
| | - Raj Pranap Arun
- Department of Pathology, Dalhousie University, Halifax, NS B3H 4R2, Canada; (M.R.M.); (O.L.W.); (R.P.A.); (W.F.)
| | - Wasundara Fernando
- Department of Pathology, Dalhousie University, Halifax, NS B3H 4R2, Canada; (M.R.M.); (O.L.W.); (R.P.A.); (W.F.)
- Department of Biology, Acadia University, Wolfville, NS B4P 2R6, Canada
| | - Paola Marcato
- Department of Pathology, Dalhousie University, Halifax, NS B3H 4R2, Canada; (M.R.M.); (O.L.W.); (R.P.A.); (W.F.)
- Department of Microbiology and Immunology, Dalhousie University, Halifax, NS B3H 4R2, Canada
- Nova Scotia Health Authority, Halifax, NS B3H 4R2, Canada
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2
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Seo Y, Kim DK, Park J, Park SJ, Park JJ, Cheon JH, Kim TI. A Comprehensive Understanding of Post-Translational Modification of Sox2 via Acetylation and O-GlcNAcylation in Colorectal Cancer. Cancers (Basel) 2024; 16:1035. [PMID: 38473392 DOI: 10.3390/cancers16051035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 02/24/2024] [Accepted: 03/01/2024] [Indexed: 03/14/2024] Open
Abstract
Aberrant expression of the pluripotency-associated transcription factor Sox2 is associated with poor prognosis in colorectal cancer (CRC). We investigated the regulatory roles of major post-translational modifications in Sox2 using two CRC cell lines, SW480 and SW620, derived from the same patient but with low and high Sox2 expression, respectively. Acetylation of K75 in the Sox2 nuclear export signal was relatively increased in SW480 cells and promotes Sox2 nucleocytoplasmic shuttling and proteasomal degradation of Sox2. LC-MS-based proteomics analysis identified HDAC4 and p300 as binding partners involved in the acetylation-mediated control of Sox2 expression in the nucleus. Sox2 K75 acetylation is mediated by the acetyltransferase activity of CBP/p300 and ACSS3. In SW620 cells, HDAC4 deacetylates K75 and is regulated by miR29a. O-GlcNAcylation on S246, in addition to K75 acetylation, also regulates Sox2 stability. These findings provide insights into the regulation of Sox2 through multiple post-translational modifications and pathways in CRC.
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Affiliation(s)
- Yoojeong Seo
- Division of Gastroenterology, Department of Internal Medicine, Institute of Gastroenterology, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
- Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Dong Keon Kim
- Division of Gastroenterology, Department of Internal Medicine, Institute of Gastroenterology, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Jihye Park
- Division of Gastroenterology, Department of Internal Medicine, Institute of Gastroenterology, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Soo Jung Park
- Division of Gastroenterology, Department of Internal Medicine, Institute of Gastroenterology, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Jae Jun Park
- Division of Gastroenterology, Department of Internal Medicine, Institute of Gastroenterology, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
- Yonsei Cancer Prevention Center, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Jae Hee Cheon
- Division of Gastroenterology, Department of Internal Medicine, Institute of Gastroenterology, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
- Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Tae Il Kim
- Division of Gastroenterology, Department of Internal Medicine, Institute of Gastroenterology, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
- Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
- Yonsei Cancer Prevention Center, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
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3
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Yoo W, Song YW, Kim J, Ahn J, Kim J, Shin Y, Ryu JK, Kim KK. Molecular basis for SOX2-dependent regulation of super-enhancer activity. Nucleic Acids Res 2023; 51:11999-12019. [PMID: 37930832 PMCID: PMC10711550 DOI: 10.1093/nar/gkad908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 09/22/2023] [Accepted: 10/06/2023] [Indexed: 11/08/2023] Open
Abstract
Pioneer transcription factors (TFs) like SOX2 are vital for stemness and cancer through enhancing gene expression within transcriptional condensates formed with coactivators, RNAs and mediators on super-enhancers (SEs). Despite their importance, how these factors work together for transcriptional condensation and activation remains unclear. SOX2, a pioneer TF found in SEs of pluripotent and cancer stem cells, initiates SE-mediated transcription by binding to nucleosomes, though the mechanism isn't fully understood. To address SOX2's role in SEs, we identified mSE078 as a model SOX2-enriched SE and p300 as a coactivator through bioinformatic analysis. In vitro and cell assays showed SOX2 forms condensates with p300 and SOX2-binding motifs in mSE078. We further proved that SOX2 condensation is highly correlated with mSE078's enhancer activity in cells. Moreover, we successfully demonstrated that p300 not only elevated transcriptional activity but also triggered chromatin acetylation via its direct interaction with SOX2 within these transcriptional condensates. Finally, our validation of SOX2-enriched SEs showcased their contribution to target gene expression in both stem cells and cancer cells. In its entirety, this study imparts valuable mechanistic insights into the collaborative interplay of SOX2 and its coactivator p300, shedding light on the regulation of transcriptional condensation and activation within SOX2-enriched SEs.
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Affiliation(s)
- Wanki Yoo
- Department of Precision Medicine, Graduate School of Basic Medical Science (GSBMS), Institute for Antimicrobial Resistance Research and Therapeutics, Sungkyunkwan University School of Medicine, Suwon 16419, Republic of Korea
| | - Yi Wei Song
- Department of Precision Medicine, Graduate School of Basic Medical Science (GSBMS), Institute for Antimicrobial Resistance Research and Therapeutics, Sungkyunkwan University School of Medicine, Suwon 16419, Republic of Korea
| | - Jihyun Kim
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea
| | - Jihye Ahn
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea
| | - Jaehoon Kim
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea
| | - Yongdae Shin
- Department of Mechanical Engineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Je-Kyung Ryu
- Department of Physics & Astronomy, Seoul National University, Seoul 08826, Republic of Korea
| | - Kyeong Kyu Kim
- Department of Precision Medicine, Graduate School of Basic Medical Science (GSBMS), Institute for Antimicrobial Resistance Research and Therapeutics, Sungkyunkwan University School of Medicine, Suwon 16419, Republic of Korea
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4
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Martinez-Corral R, Park M, Biette KM, Friedrich D, Scholes C, Khalil AS, Gunawardena J, DePace AH. Transcriptional kinetic synergy: A complex landscape revealed by integrating modeling and synthetic biology. Cell Syst 2023; 14:324-339.e7. [PMID: 37080164 PMCID: PMC10472254 DOI: 10.1016/j.cels.2023.02.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 08/22/2022] [Accepted: 02/10/2023] [Indexed: 04/22/2023]
Abstract
Transcription factors (TFs) control gene expression, often acting synergistically. Classical thermodynamic models offer a biophysical explanation for synergy based on binding cooperativity and regulated recruitment of RNA polymerase. Because transcription requires polymerase to transition through multiple states, recent work suggests that "kinetic synergy" can arise through TFs acting on distinct steps of the transcription cycle. These types of synergy are not mutually exclusive and are difficult to disentangle conceptually and experimentally. Here, we model and build a synthetic circuit in which TFs bind to a single shared site on DNA, such that TFs cannot synergize by simultaneous binding. We model mRNA production as a function of both TF binding and regulation of the transcription cycle, revealing a complex landscape dependent on TF concentration, DNA binding affinity, and regulatory activity. We use synthetic TFs to confirm that the transcription cycle must be integrated with recruitment for a quantitative understanding of gene regulation.
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Affiliation(s)
| | - Minhee Park
- Biological Design Center, Boston University, Boston, MA 02215, USA; Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
| | - Kelly M Biette
- Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Dhana Friedrich
- Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Clarissa Scholes
- Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Ahmad S Khalil
- Biological Design Center, Boston University, Boston, MA 02215, USA; Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA; Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115, USA
| | - Jeremy Gunawardena
- Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Angela H DePace
- Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.
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5
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Abbasi S, Bayat L, Schild-Poulter C. Analysis of Ku70 S155 Phospho-Specific BioID2 Interactome Identifies Ku Association with TRIP12 in Response to DNA Damage. Int J Mol Sci 2023; 24:ijms24087041. [PMID: 37108203 PMCID: PMC10138931 DOI: 10.3390/ijms24087041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 03/31/2023] [Accepted: 04/06/2023] [Indexed: 04/29/2023] Open
Abstract
The Ku heterodimer, composed of subunits Ku70 and Ku80, is known for its essential role in repairing double-stranded DNA breaks via non-homologous end joining (NHEJ). We previously identified Ku70 S155 as a novel phosphorylation site within the von Willebrand A-like (vWA) domain of Ku70 and documented an altered DNA damage response in cells expressing a Ku70 S155D phosphomimetic mutant. Here, we conducted proximity-dependent biotin identification (BioID2) screening using wild-type Ku70, Ku70 S155D mutant, and Ku70 with a phosphoablative substitution (S155A) to identify Ku70 S155D-specific candidate proteins that may rely on this phosphorylation event. Using the BioID2 screen with multiple filtering approaches, we compared the protein interactor candidate lists for Ku70 S155D and S155A. TRIP12 was exclusive to the Ku70 S155D list, considered a high confidence interactor based on SAINTexpress analysis, and appeared in all three biological replicates of the Ku70 S155D-BioID2 mass spectrometry results. Using proximity ligation assays (PLA), we demonstrated a significantly increased association between Ku70 S155D-HA and TRIP12 compared to wild-type Ku70-HA cells. In addition, we were able to demonstrate a robust PLA signal between endogenous Ku70 and TRIP12 in the presence of double-stranded DNA breaks. Finally, co-immunoprecipitation analyses showed an enhanced interaction between TRIP12 and Ku70 upon treatment with ionizing radiation, suggesting a direct or indirect association in response to DNA damage. Altogether, these results suggest an association between Ku70 phospho-S155 and TRIP12.
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Affiliation(s)
- Sanna Abbasi
- Department of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 3K7, Canada
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5B7, Canada
| | - Laila Bayat
- Department of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 3K7, Canada
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5B7, Canada
| | - Caroline Schild-Poulter
- Department of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 3K7, Canada
- Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5B7, Canada
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6
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Ji L, Moghal N, Zou X, Fang Y, Hu S, Wang Y, Tsao MS. The NRF2 antagonist ML385 inhibits PI3K-mTOR signaling and growth of lung squamous cell carcinoma cells. Cancer Med 2023; 12:5688-5702. [PMID: 36305267 PMCID: PMC10028163 DOI: 10.1002/cam4.5311] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 09/11/2022] [Accepted: 09/20/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Lung squamous cell carcinoma (LUSC) currently has limited therapeutic options because of the relatively few validated targets and the lack of clinical drugs for some of these targets. Although NRF2/NFE2L2 pathway activation commonly occurs in LUSC, NRF2 has predominantly been studied in other cancer models. Here, we investigated the function of NRF2 in LUSC, including in organoid models, and we explored the activity of a small molecule NRF2 inhibitor ML385, which has not previously been investigated in LUSC. METHODS We first explored the role of NRF2 signaling in LUSC cancer cell line and organoid proliferation through NRF2 knockdown or ML385 treatment, both in vivo and in vitro. Next, we performed Western blot and immunofluorescence assays to determine the effect of NRF2 inhibition on PI3K-mTOR signaling. Finally, we used cell viability and clonogenic assays to explore whether ML385 could sensitize LUSC cancer cells to PI3K inhibitors. RESULTS We find that downregulation of NRF2 signaling inhibited proliferation of LUSC cancer cell lines and organoids, both in vivo and in vitro. We also demonstrate that inhibition of NRF2 reduces PI3K-mTOR signaling, with two potential mechanisms being involved. Although NRF2 promotes AKT phosphorylation, it also acts downstream of AKT to increase RagD protein expression and recruitment of mTOR to lysosomes after amino acid stimulation. We also find that ML385 potentiates LUSC growth inhibition by a pan-PI3K inhibitor, which correlates with stronger inhibition of PI3K-mTOR signaling. CONCLUSIONS Our data provide additional support for NRF2 promoting LUSC growth through PI3K-mTOR activation and support development of NRF2 inhibitors for the treatment of LUSC.
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Affiliation(s)
- Lili Ji
- Department of Pathology, Key Laboratory of Microenvironment and Translational Cancer Research, Medical School of Nantong University, Nantong, Jiangsu, China
| | - Nadeem Moghal
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Xinru Zou
- Department of Pathology, Key Laboratory of Microenvironment and Translational Cancer Research, Medical School of Nantong University, Nantong, Jiangsu, China
| | - Yixuan Fang
- Department of Pathology, Key Laboratory of Microenvironment and Translational Cancer Research, Medical School of Nantong University, Nantong, Jiangsu, China
| | - Shuning Hu
- Department of Pathology, Key Laboratory of Microenvironment and Translational Cancer Research, Medical School of Nantong University, Nantong, Jiangsu, China
| | - Yuhui Wang
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Ming Sound Tsao
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
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7
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Leung HW, Foo G, VanDongen A. Arc Regulates Transcription of Genes for Plasticity, Excitability and Alzheimer’s Disease. Biomedicines 2022; 10:biomedicines10081946. [PMID: 36009494 PMCID: PMC9405677 DOI: 10.3390/biomedicines10081946] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 07/21/2022] [Accepted: 07/25/2022] [Indexed: 02/06/2023] Open
Abstract
The immediate early gene Arc is a master regulator of synaptic function and a critical determinant of memory consolidation. Here, we show that Arc interacts with dynamic chromatin and closely associates with histone markers for active enhancers and transcription in cultured rat hippocampal neurons. Both these histone modifications, H3K27Ac and H3K9Ac, have recently been shown to be upregulated in late-onset Alzheimer’s disease (AD). When Arc induction by pharmacological network activation was prevented using a short hairpin RNA, the expression profile was altered for over 1900 genes, which included genes associated with synaptic function, neuronal plasticity, intrinsic excitability, and signalling pathways. Interestingly, about 100 Arc-dependent genes are associated with the pathophysiology of AD. When endogenous Arc expression was induced in HEK293T cells, the transcription of many neuronal genes was increased, suggesting that Arc can control expression in the absence of activated signalling pathways. Taken together, these data establish Arc as a master regulator of neuronal activity-dependent gene expression and suggest that it plays a significant role in the pathophysiology of AD.
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Affiliation(s)
| | - Gabriel Foo
- Duke-NUS Medical School, Singapore 169857, Singapore
| | - Antonius VanDongen
- Duke-NUS Medical School, Singapore 169857, Singapore
- Department of Pharmacology and Cancer Biology, Duke University, Durham, NC 27710, USA
- Correspondence:
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8
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Kanada R, Kagoshima Y, Asano M, Suzuki T, Murata T, Haruta M, Takahashi M, Ubukata O, Hashimoto K, Obata K, Kihara K, Kuroha M, Banjo T, Togashi N, Sato K, Yamamoto Y, Suzuki K, Isoyama T, Tominaga Y, Higuchi S, Naito H. Discovery of EP300/CBP histone acetyltransferase inhibitors through scaffold hopping of 1,4-oxazepane ring. Bioorg Med Chem Lett 2022; 66:128726. [PMID: 35413416 DOI: 10.1016/j.bmcl.2022.128726] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Revised: 04/06/2022] [Accepted: 04/07/2022] [Indexed: 11/02/2022]
Abstract
EP300 and its paralog CBP play an important role in post-translational modification as histone acetyltransferases (HATs). EP300/CBP inhibition has been gaining attention as an anticancer treatment target in recent years. Herein, we describe the identification of a novel, highly selective EP300/CBP inhibitor, compound 11 (DS17701585), by scaffold hopping and structure-based optimization of a high-throughput screening hit 1. Compound 11 (DS17701585) shows dose-dependent inhibition of SRY-box transcription factor 2 (SOX2) mRNA expression in a human lung squamous cell carcinoma cell line LK2-xenografted mouse model.
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Affiliation(s)
- Ryutaro Kanada
- Daiichi Sankyo Co., Ltd., 1-2-58 Hiromachi, Shinagawa-ku, Tokyo 140-8710, Japan.
| | - Yoshiko Kagoshima
- Daiichi Sankyo Co., Ltd., 1-2-58 Hiromachi, Shinagawa-ku, Tokyo 140-8710, Japan
| | - Masayoshi Asano
- Daiichi Sankyo Co., Ltd., 1-2-58 Hiromachi, Shinagawa-ku, Tokyo 140-8710, Japan
| | - Takashi Suzuki
- Daiichi Sankyo Co., Ltd., 1-2-58 Hiromachi, Shinagawa-ku, Tokyo 140-8710, Japan
| | - Takeshi Murata
- Daiichi Sankyo Co., Ltd., 1-2-58 Hiromachi, Shinagawa-ku, Tokyo 140-8710, Japan
| | - Makoto Haruta
- Daiichi Sankyo RD Novare Co., Ltd., 1-16-13 Kitakasai, Edogawa-ku, Tokyo 134-8630, Japan
| | - Mizuki Takahashi
- Daiichi Sankyo RD Novare Co., Ltd., 1-16-13 Kitakasai, Edogawa-ku, Tokyo 134-8630, Japan
| | - Osamu Ubukata
- Daiichi Sankyo RD Novare Co., Ltd., 1-16-13 Kitakasai, Edogawa-ku, Tokyo 134-8630, Japan
| | - Kazuyuki Hashimoto
- Daiichi Sankyo Co., Ltd., 1-2-58 Hiromachi, Shinagawa-ku, Tokyo 140-8710, Japan
| | - Kenichi Obata
- Daiichi Sankyo RD Novare Co., Ltd., 1-16-13 Kitakasai, Edogawa-ku, Tokyo 134-8630, Japan
| | - Kawori Kihara
- Daiichi Sankyo RD Novare Co., Ltd., 1-16-13 Kitakasai, Edogawa-ku, Tokyo 134-8630, Japan
| | - Mutsumi Kuroha
- Daiichi Sankyo RD Novare Co., Ltd., 1-16-13 Kitakasai, Edogawa-ku, Tokyo 134-8630, Japan
| | - Toshihiro Banjo
- Daiichi Sankyo Co., Ltd., 1-2-58 Hiromachi, Shinagawa-ku, Tokyo 140-8710, Japan
| | - Noriko Togashi
- Daiichi Sankyo Co., Ltd., 1-2-58 Hiromachi, Shinagawa-ku, Tokyo 140-8710, Japan
| | - Kazumi Sato
- Daiichi Sankyo RD Novare Co., Ltd., 1-16-13 Kitakasai, Edogawa-ku, Tokyo 134-8630, Japan
| | - Yuka Yamamoto
- Daiichi Sankyo RD Novare Co., Ltd., 1-16-13 Kitakasai, Edogawa-ku, Tokyo 134-8630, Japan
| | - Kanae Suzuki
- Daiichi Sankyo Co., Ltd., 1-2-58 Hiromachi, Shinagawa-ku, Tokyo 140-8710, Japan
| | - Takeshi Isoyama
- Daiichi Sankyo Co., Ltd., 1-2-58 Hiromachi, Shinagawa-ku, Tokyo 140-8710, Japan
| | - Yuichi Tominaga
- Daiichi Sankyo Co., Ltd., 1-2-58 Hiromachi, Shinagawa-ku, Tokyo 140-8710, Japan
| | - Saito Higuchi
- Daiichi Sankyo Co., Ltd., 1-2-58 Hiromachi, Shinagawa-ku, Tokyo 140-8710, Japan
| | - Hiroyuki Naito
- Daiichi Sankyo Co., Ltd., 1-2-58 Hiromachi, Shinagawa-ku, Tokyo 140-8710, Japan
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9
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Sharifi Tabar M, Francis H, Yeo D, Bailey CG, Rasko JEJ. Mapping oncogenic protein interactions for precision medicine. Int J Cancer 2022; 151:7-19. [PMID: 35113472 PMCID: PMC9306658 DOI: 10.1002/ijc.33954] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 01/25/2022] [Accepted: 01/26/2022] [Indexed: 11/10/2022]
Abstract
Normal protein‐protein interactions (normPPIs) occur with high fidelity to regulate almost every physiological process. In cancer, this highly organised and precisely regulated network is disrupted, hijacked or reprogrammed resulting in oncogenic protein‐protein interactions (oncoPPIs). OncoPPIs, which can result from genomic alterations, are a hallmark of many types of cancers. Recent technological advances in the field of mass spectrometry (MS)‐based interactomics, structural biology and drug discovery have prompted scientists to identify and characterise oncoPPIs. Disruption of oncoPPI interfaces has become a major focus of drug discovery programs and has resulted in the use of PPI‐specific drugs clinically. However, due to several technical hurdles, studies to build a reference oncoPPI map for various cancer types have not been undertaken. Therefore, there is an urgent need for experimental workflows to overcome the existing challenges in studying oncoPPIs in various cancers and to build comprehensive reference maps. Here, we discuss the important hurdles for characterising oncoPPIs and propose a three‐phase multidisciplinary workflow to identify and characterise oncoPPIs. Systematic identification of cancer‐type‐specific oncogenic interactions will spur new opportunities for PPI‐focused drug discovery projects and precision medicine.
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Affiliation(s)
- Mehdi Sharifi Tabar
- Gene & Stem Cell Therapy Program Centenary Institute, The University of Sydney, Camperdown, NSW, Australia.,Cancer & Gene Regulation Laboratory Centenary Institute, The University of Sydney, Camperdown, NSW, Australia.,Faculty of Medicine & Health, The University of Sydney, Sydney, NSW, Australia
| | - Habib Francis
- Gene & Stem Cell Therapy Program Centenary Institute, The University of Sydney, Camperdown, NSW, Australia.,Cancer & Gene Regulation Laboratory Centenary Institute, The University of Sydney, Camperdown, NSW, Australia.,Faculty of Medicine & Health, The University of Sydney, Sydney, NSW, Australia
| | - Dannel Yeo
- Faculty of Medicine & Health, The University of Sydney, Sydney, NSW, Australia.,Li Ka Shing Cell & Gene Therapy Program, The University of Sydney, Camperdown, NSW, Australia.,Cell & Molecular Therapies, Royal Prince Alfred Hospital, Sydney Local Health District, Camperdown, NSW, Australia
| | - Charles G Bailey
- Gene & Stem Cell Therapy Program Centenary Institute, The University of Sydney, Camperdown, NSW, Australia.,Cancer & Gene Regulation Laboratory Centenary Institute, The University of Sydney, Camperdown, NSW, Australia.,Faculty of Medicine & Health, The University of Sydney, Sydney, NSW, Australia
| | - John E J Rasko
- Gene & Stem Cell Therapy Program Centenary Institute, The University of Sydney, Camperdown, NSW, Australia.,Faculty of Medicine & Health, The University of Sydney, Sydney, NSW, Australia.,Li Ka Shing Cell & Gene Therapy Program, The University of Sydney, Camperdown, NSW, Australia.,Cell & Molecular Therapies, Royal Prince Alfred Hospital, Sydney Local Health District, Camperdown, NSW, Australia
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10
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Huang Y, Duan X, Wang Z, Sun Y, Guan Q, Kang L, Zhang Q, Fang L, Li J, Wong J. An acetylation-enhanced interaction between transcription factor Sox2 and the steroid receptor coactivators facilitates Sox2 transcriptional activity and function. J Biol Chem 2021; 297:101389. [PMID: 34762910 PMCID: PMC8668987 DOI: 10.1016/j.jbc.2021.101389] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Revised: 10/25/2021] [Accepted: 10/26/2021] [Indexed: 12/02/2022] Open
Abstract
SRY-box 2 (Sox2) is a transcription factor with critical roles in maintaining embryonic stem (ES) cell and adult stem cell functions and in tumorigenesis. However, how Sox2 exerts its transcriptional function remains unclear. Here, we used an in vitro protein–protein interaction assay to discover transcriptional regulators for ES cell core transcription factors (Oct4, Sox2, Klf4, and c-Myc) and identified members of the steroid receptor coactivators (SRCs) as Sox2-specific interacting proteins. The SRC family coactivators have broad roles in transcriptional regulation, but it is unknown whether they also serve as Sox2 coactivators. We demonstrated that these proteins facilitate Sox2 transcriptional activity and act synergistically with p300. Furthermore, we uncovered an acetylation-enhanced interaction between Sox2 and SRC-2/3, but not SRC-1, demonstrating it is Sox2 acetylation that promotes the interaction. We identified putative Sox2 acetylation sites required for acetylation-enhanced interaction between Sox2 and SRC-3 and demonstrated that acetylation on these sites contributes to Sox2 transcriptional activity and recruitment of SRC-3. We showed that activation domains 1 and 2 of SRC-3 both display a preferential binding to acetylated Sox2. Finally, functional analyses in mouse ES cells demonstrated that knockdown of SRC-2/3 but not SRC-1 in mouse ES cells significantly downregulates the transcriptional activities of various Sox2 target genes and impairs ES cell stemness. Taken together, we identify specific SRC family proteins as novel Sox2 coactivators and uncover the role of Sox2 acetylation in promoting coactivator recruitment and Sox2 transcriptional function.
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Affiliation(s)
- Yuanyong Huang
- Shanghai Key Laboratory of Regulatory Biology, Fengxian District Central Hospital-ECNU Joint Center of Translational Medicine, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China
| | - Xiaoya Duan
- Shanghai Key Laboratory of Regulatory Biology, Fengxian District Central Hospital-ECNU Joint Center of Translational Medicine, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China
| | - Zhen Wang
- Shanghai Key Laboratory of Regulatory Biology, Fengxian District Central Hospital-ECNU Joint Center of Translational Medicine, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China
| | - Yimei Sun
- Shanghai Key Laboratory of Regulatory Biology, Fengxian District Central Hospital-ECNU Joint Center of Translational Medicine, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China
| | - Qingqing Guan
- Shanghai Key Laboratory of Regulatory Biology, Fengxian District Central Hospital-ECNU Joint Center of Translational Medicine, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China
| | - Li Kang
- Shanghai Key Laboratory of Regulatory Biology, Fengxian District Central Hospital-ECNU Joint Center of Translational Medicine, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China
| | - Qiao Zhang
- Shanghai Key Laboratory of Regulatory Biology, Fengxian District Central Hospital-ECNU Joint Center of Translational Medicine, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China
| | - Lan Fang
- Shanghai Key Laboratory of Regulatory Biology, Fengxian District Central Hospital-ECNU Joint Center of Translational Medicine, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China
| | - Jiwen Li
- Shanghai Key Laboratory of Regulatory Biology, Fengxian District Central Hospital-ECNU Joint Center of Translational Medicine, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China
| | - Jiemin Wong
- Shanghai Key Laboratory of Regulatory Biology, Fengxian District Central Hospital-ECNU Joint Center of Translational Medicine, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China; Joint Center for Translational Medicine, Fengxian District Central Hospital, Shanghai, China.
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11
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Cakir M, Obernier K, Forget A, Krogan NJ. Target Discovery for Host-Directed Antiviral Therapies: Application of Proteomics Approaches. mSystems 2021; 6:e0038821. [PMID: 34519533 PMCID: PMC8547474 DOI: 10.1128/msystems.00388-21] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Current epidemics, such as AIDS or flu, and the emergence of new threatening pathogens, such as the one causing the current coronavirus disease 2019 (COVID-19) pandemic, represent major global health challenges. While vaccination is an important part of the arsenal to counter the spread of viral diseases, it presents limitations and needs to be complemented by efficient therapeutic solutions. Intricate knowledge of host-pathogen interactions is a powerful tool to identify host-dependent vulnerabilities that can be exploited to dampen viral replication. Such host-directed antiviral therapies are promising and are less prone to the development of drug-resistant viral strains. Here, we first describe proteomics-based strategies that allow the rapid characterization of host-pathogen interactions. We then discuss how such data can be exploited to help prioritize compounds with potential host-directed antiviral activity that can be tested in preclinical models.
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Affiliation(s)
- Merve Cakir
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, California, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, California, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
- Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, California, USA
| | - Kirsten Obernier
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, California, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, California, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
- Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, California, USA
| | - Antoine Forget
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, California, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, California, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
- Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, California, USA
| | - Nevan J. Krogan
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, California, USA
- Quantitative Biosciences Institute (QBI) COVID-19 Research Group (QCRG), San Francisco, California, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA
- Gladstone Institute of Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, California, USA
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12
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Tahir R, Madugundu AK, Udainiya S, Cutler JA, Renuse S, Wang L, Pearson NA, Mitchell CJ, Mahajan N, Pandey A, Wu X. Proximity-Dependent Biotinylation to Elucidate the Interactome of TNK2 Nonreceptor Tyrosine Kinase. J Proteome Res 2021; 20:4566-4577. [PMID: 34428048 DOI: 10.1021/acs.jproteome.1c00551] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Nonreceptor tyrosine kinases (NRTKs) represent an important class of signaling molecules driving diverse cellular pathways. Aberrant expression and hyperphosphorylation of TNK2, an NRTK, have been implicated in multiple cancers. However, the exact proteins and cellular events that mediate phenotypic changes downstream of TNK2 are unclear. Biological systems that employ proximity-dependent biotinylation methods, such as BioID, are being increasingly used to map protein-protein interactions, as they provide increased sensitivity in discovering interaction partners. In this study, we employed stable isotope labeling with amino acids in cell culture and BioID coupled to the biotinylation site identification technology (BioSITe) method that we recently developed to quantitatively explore the interactome of TNK2. By performing a controlled comparative analysis between full-length TNK2 and its truncated counterpart, we were able to not only identify site-level biotinylation of previously well-established TNK2 binders and substrates including NCK1, NCK2, CTTN, and STAT3, but also discover several novel TNK2 interacting partners. We also performed co-immunoprecipitation and immunofluorescence analysis to validate the interaction between TNK2 and CLINT1, a novel TNK2 interacting protein. Overall, this work reveals the power of the BioSITe method coupled to BioID and highlights several molecules that warrant further exploration to assess their functional significance in TNK2-mediated signaling.
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Affiliation(s)
- Raiha Tahir
- Biochemistry, Cellular and Molecular Biology Graduate Program, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.,Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.,Ginkgo Bioworks, Boston, Massachusetts 02210, United States
| | - Anil K Madugundu
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.,Institute of Bioinformatics, International Technology Park, Bangalore 560066, Karnataka, India.,Manipal Academy of Higher Education (MAHE), Manipal 576104, Karnataka, India.,Center for Molecular Medicine, National Institute of Mental Health and Neurosciences (NIMHANS), Hosur Road, Bangalore 560029, Karnataka, India.,Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Savita Udainiya
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.,Center for Molecular Medicine, National Institute of Mental Health and Neurosciences (NIMHANS), Hosur Road, Bangalore 560029, Karnataka, India.,Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Jevon A Cutler
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.,Pre-Doctoral Training Program in Human Genetics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States
| | - Santosh Renuse
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.,Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota 55905, United States.,Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Li Wang
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Nicole A Pearson
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota 55905, United States
| | | | - Nupam Mahajan
- Siteman Cancer Center, Washington University, St. Louis, Missouri 63110, United States
| | - Akhilesh Pandey
- Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.,McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.,Center for Molecular Medicine, National Institute of Mental Health and Neurosciences (NIMHANS), Hosur Road, Bangalore 560029, Karnataka, India.,Departments of Pathology and Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.,Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota 55905, United States.,Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Xinyan Wu
- Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.,McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.,Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota 55905, United States.,Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota 55905, United States
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13
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Haploinsufficiency of PRR12 causes a spectrum of neurodevelopmental, eye, and multisystem abnormalities. Genet Med 2021; 23:1234-1245. [PMID: 33824499 DOI: 10.1038/s41436-021-01129-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Revised: 02/11/2021] [Accepted: 02/11/2021] [Indexed: 11/08/2022] Open
Abstract
PURPOSE Proline Rich 12 (PRR12) is a gene of unknown function with suspected DNA-binding activity, expressed in developing mice and human brains. Predicted loss-of-function variants in this gene are extremely rare, indicating high intolerance of haploinsufficiency. METHODS Three individuals with intellectual disability and iris anomalies and truncating de novo PRR12 variants were described previously. We add 21 individuals with similar PRR12 variants identified via matchmaking platforms, bringing the total number to 24. RESULTS We observed 12 frameshift, 6 nonsense, 1 splice-site, and 2 missense variants and one patient with a gross deletion involving PRR12. Three individuals had additional genetic findings, possibly confounding the phenotype. All patients had developmental impairment. Variable structural eye defects were observed in 12/24 individuals (50%) including anophthalmia, microphthalmia, colobomas, optic nerve and iris abnormalities. Additional common features included hypotonia (61%), heart defects (52%), growth failure (54%), and kidney anomalies (35%). PrediXcan analysis showed that phecodes most strongly associated with reduced predicted PRR12 expression were enriched for eye- (7/30) and kidney- (4/30) phenotypes, such as wet macular degeneration and chronic kidney disease. CONCLUSION These findings support PRR12 haploinsufficiency as a cause for a novel disorder with a wide clinical spectrum marked chiefly by neurodevelopmental and eye abnormalities.
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14
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Dasgupta S, Ewing-Graham PC, Van Den Bosch TPP, Swagemakers SMA, Santegoets LAM, Van Doorn HC, Van Der Spek PJ, Koljenović S, Van Kemenade FJ. Nuclear factor IB is downregulated in vulvar squamous cell carcinoma (VSCC): Unravelling differentially expressed genes in VSCC through gene expression dataset analysis. Oncol Lett 2021; 21:381. [PMID: 33841565 PMCID: PMC8020388 DOI: 10.3892/ol.2021.12642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 02/12/2021] [Indexed: 11/25/2022] Open
Abstract
Vulvar squamous cell carcinoma (VSCC) comprises two distinct etiopathological subtypes: i) Human papilloma virus (HPV)-related VSCC, which arises via the precursor high grade squamous intraepithelial lesion (HSIL); and ii) HPV-independent VSCC, which arises via precursor, differentiated vulvar intraepithelial neoplasia (dVIN), driven by TP53 mutations. However, the mechanism of carcinogenesis of VSCC is poorly understood. The current study aimed to gain insight into VSCC carcinogenesis by identifying differentially expressed genes (DEGs) for each VSCC subtype. The expression of certain DEGs was then further assessed by performing immunohistochemistry (IHC) on whole tissue sections of VSCC and its precursors. Statistical analysis of microarrays was performed on two independent gene expression datasets (GSE38228 and a study from Erasmus MC) on VSCC and normal vulva. DEGs were identified that were similarly (up/down) regulated with statistical significance in both datasets. For HPV-related VSCCs, this constituted 88 DEGs, and for HPV-independent VSCCs, this comprised 46 DEGs. IHC was performed on VSCC (n=11), dVIN (n=6), HSIL (n=6) and normal vulvar tissue (n=7) with i) signal transducer and activator of transcription 1 (STAT1; an upregulated DEGs); ii) nuclear factor IB (NFIB; a downregulated DEG); iii) p16 (to determine the HPV status of tissues); and iv) p53 (to confirm the histological diagnoses). Strong and diffuse NFIB expression was observed in the basal and para-basal layers of normal vulvar tissue, whereas NFIB expression was minimal or completely negative in dVIN and in both subtypes of VSCC. In contrast, no discernable difference was observed in STAT1 expression among normal vulvar tissue, dVIN, HSIL or VSCC. By leveraging bioinformatics, the current study identified DEGs that can facilitate research into VSCC carcinogenesis. The results suggested that NFIB is downregulated in VSCC and its relevance as a diagnostic/prognostic biomarker deserves further exploration.
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Affiliation(s)
- Shatavisha Dasgupta
- Department of Pathology, Erasmus MC, University Medical Center Rotterdam, 3000CA Rotterdam, The Netherlands
| | - Patricia C Ewing-Graham
- Department of Pathology, Erasmus MC, University Medical Center Rotterdam, 3000CA Rotterdam, The Netherlands
| | - Thierry P P Van Den Bosch
- Department of Pathology, Erasmus MC, University Medical Center Rotterdam, 3000CA Rotterdam, The Netherlands
| | - Sigrid M A Swagemakers
- Department of Pathology, Erasmus MC, University Medical Center Rotterdam, 3000CA Rotterdam, The Netherlands.,Department of Clinical Bioinformatics, Erasmus MC, University Medical Center Rotterdam, 3000CA Rotterdam, The Netherlands
| | - Lindy A M Santegoets
- Department of Obstetrics and Gynecology, Reinier de Graaf Gasthuis, 2625 AD Delft, The Netherlands
| | - Helena C Van Doorn
- Department of Gynecologic Oncology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, 3000CA Rotterdam, The Netherlands
| | - Peter J Van Der Spek
- Department of Pathology, Erasmus MC, University Medical Center Rotterdam, 3000CA Rotterdam, The Netherlands.,Department of Clinical Bioinformatics, Erasmus MC, University Medical Center Rotterdam, 3000CA Rotterdam, The Netherlands
| | - Senada Koljenović
- Department of Pathology, Erasmus MC, University Medical Center Rotterdam, 3000CA Rotterdam, The Netherlands
| | - Folkert J Van Kemenade
- Department of Pathology, Erasmus MC, University Medical Center Rotterdam, 3000CA Rotterdam, The Netherlands
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15
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Richards AL, Eckhardt M, Krogan NJ. Mass spectrometry-based protein-protein interaction networks for the study of human diseases. Mol Syst Biol 2021; 17:e8792. [PMID: 33434350 PMCID: PMC7803364 DOI: 10.15252/msb.20188792] [Citation(s) in RCA: 88] [Impact Index Per Article: 29.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Revised: 09/23/2020] [Accepted: 11/03/2020] [Indexed: 12/13/2022] Open
Abstract
A better understanding of the molecular mechanisms underlying disease is key for expediting the development of novel therapeutic interventions. Disease mechanisms are often mediated by interactions between proteins. Insights into the physical rewiring of protein-protein interactions in response to mutations, pathological conditions, or pathogen infection can advance our understanding of disease etiology, progression, and pathogenesis and can lead to the identification of potential druggable targets. Advances in quantitative mass spectrometry (MS)-based approaches have allowed unbiased mapping of these disease-mediated changes in protein-protein interactions on a global scale. Here, we review MS techniques that have been instrumental for the identification of protein-protein interactions at a system-level, and we discuss the challenges associated with these methodologies as well as novel MS advancements that aim to address these challenges. An overview of examples from diverse disease contexts illustrates the potential of MS-based protein-protein interaction mapping approaches for revealing disease mechanisms, pinpointing new therapeutic targets, and eventually moving toward personalized applications.
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Affiliation(s)
- Alicia L Richards
- Quantitative Biosciences Institute (QBI)University of California San FranciscoSan FranciscoCAUSA
- J. David Gladstone InstitutesSan FranciscoCAUSA
- Department of Cellular and Molecular PharmacologyUniversity of California San FranciscoSan FranciscoCAUSA
| | - Manon Eckhardt
- Quantitative Biosciences Institute (QBI)University of California San FranciscoSan FranciscoCAUSA
- J. David Gladstone InstitutesSan FranciscoCAUSA
- Department of Cellular and Molecular PharmacologyUniversity of California San FranciscoSan FranciscoCAUSA
| | - Nevan J Krogan
- Quantitative Biosciences Institute (QBI)University of California San FranciscoSan FranciscoCAUSA
- J. David Gladstone InstitutesSan FranciscoCAUSA
- Department of Cellular and Molecular PharmacologyUniversity of California San FranciscoSan FranciscoCAUSA
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16
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Haploinsufficiency of RREB1 causes a Noonan-like RASopathy via epigenetic reprogramming of RAS-MAPK pathway genes. Nat Commun 2020; 11:4673. [PMID: 32938917 PMCID: PMC7495420 DOI: 10.1038/s41467-020-18483-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 08/25/2020] [Indexed: 12/17/2022] Open
Abstract
RAS-MAPK signaling mediates processes critical to normal development including cell proliferation, survival, and differentiation. Germline mutation of RAS-MAPK genes lead to the Noonan-spectrum of syndromes. Here, we present a patient affected by a 6p-interstitial microdeletion with unknown underlying molecular etiology. Examination of 6p-interstitial microdeletion cases reveals shared clinical features consistent with Noonan-spectrum disorders including short stature, facial dysmorphia and cardiovascular abnormalities. We find the RAS-responsive element binding protein-1 (RREB1) is the common deleted gene in multiple 6p-interstitial microdeletion cases. Rreb1 hemizygous mice display orbital hypertelorism and cardiac hypertrophy phenocopying the human syndrome. Rreb1 haploinsufficiency leads to sensitization of MAPK signaling. Rreb1 recruits Sin3a and Kdm1a to control H3K4 methylation at MAPK pathway gene promoters. Haploinsufficiency of SIN3A and mutations in KDM1A cause syndromes similar to RREB1 haploinsufficiency suggesting genetic perturbation of the RREB1-SIN3A-KDM1A complex represents a new category of RASopathy-like syndromes arising through epigenetic reprogramming of MAPK pathway genes.
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17
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St-Germain JR, Samavarchi Tehrani P, Wong C, Larsen B, Gingras AC, Raught B. Variability in Streptavidin-Sepharose Matrix Quality Can Significantly Affect Proximity-Dependent Biotinylation (BioID) Data. J Proteome Res 2020; 19:3554-3561. [PMID: 32628020 DOI: 10.1021/acs.jproteome.0c00117] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Due to their ease of use and high binding affinity, streptavidin-based purification tools have become widely used for isolating biotinylated compounds from complex mixtures. We and others routinely use streptavidin-sepharose matrices to isolate biotinylated polypeptides generated in proximity-dependent biotinylation approaches, such as BioID or APEX. However, we noted sporadic, substantial variation in the quality of BioID experiments performed in the same laboratories over time, using seemingly identical protocols. Identifying the source of this problem, here, we highlight considerable variability in streptavidin contamination derived from different production lots of streptavidin-sepharose beads from the same manufacturer and demonstrate that high levels of streptavidin peptide contamination can have detrimental effects on BioID data. We also describe two simple, rapid approaches to assess the degree of streptavidin "shedding" from individual lots of the sepharose matrix before use to avoid the use of lower quality reagent.
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Affiliation(s)
- Jonathan R St-Germain
- Princess Margaret Cancer Centre, University Health Network, University of Toronto, 101 College Street, Toronto, ON M5G 1L7, Canada
| | - Payman Samavarchi Tehrani
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, and Department of Molecular Genetics, University of Toronto, 600 University Avenue, Toronto, ON M5G 1X5, Canada
| | - Cassandra Wong
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, and Department of Molecular Genetics, University of Toronto, 600 University Avenue, Toronto, ON M5G 1X5, Canada
| | - Brett Larsen
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, and Department of Molecular Genetics, University of Toronto, 600 University Avenue, Toronto, ON M5G 1X5, Canada
| | - Anne-Claude Gingras
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, and Department of Molecular Genetics, University of Toronto, 600 University Avenue, Toronto, ON M5G 1X5, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Brian Raught
- Princess Margaret Cancer Centre, University Health Network, University of Toronto, 101 College Street, Toronto, ON M5G 1L7, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
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18
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Bissey PA, Teng M, Law JH, Shi W, Bruce JP, Petit V, Tsao SW, Yip KW, Liu FF. MiR-34c downregulation leads to SOX4 overexpression and cisplatin resistance in nasopharyngeal carcinoma. BMC Cancer 2020; 20:597. [PMID: 32586280 PMCID: PMC7318489 DOI: 10.1186/s12885-020-07081-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Accepted: 06/16/2020] [Indexed: 12/11/2022] Open
Abstract
Background A major cause of disease-related death in nasopharyngeal carcinoma (NPC) is the development of distant metastasis (DM) despite combination chemoradiotherapy treatment. We previously identified and validated a four microRNA (miRNA) signature that is prognostic for DM. In this study, characterization of a key component of this signature, miR-34c, revealed its role in chemotherapy resistance. Methods Two hundred forty-six NPC patient biopsy samples were subject to comprehensive miRNA profiling and immunohistochemistry (IHC). Two human normal nasopharyngeal cell lines (immortalized; NP69 and NP460), as well as the NPC cell line C666–1, were used for miR-34c gain-of-function and loss-of-function experiments. Signaling pathways were assessed using quantitative real-time PCR (qRT-PCR) and Western blot. Cell viability was measured using the ATPlite assay. Results MiR-34c was downregulated in NPC patient samples, and confirmed in vitro to directly target SOX4, a master regulator of epithelial-to-mesenchymal transition (EMT). MiR-34c downregulation triggered EMT-representative changes in NP69 and NP460 whereby Snail, ZEB1, CDH2, and SOX2 were upregulated, while Claudin-1 and CDH1 were downregulated. Phenotypically, inhibition of miR-34c led to cisplatin resistance, whereas miR-34c over-expression sensitized NPC cells to cisplatin. TGFβ1 decreased miR-34c and increased SOX4 expression in vitro. The TGFβ receptor 1 inhibitor SB431542 reduced SOX4 expression and increased cisplatin sensitivity. Finally, IHC revealed that lower SOX4 expression was associated with improved overall survival in chemotherapy-treated NPC patients. Conclusion miR-34c is downregulated in NPC. Repression of miR-34c was shown to increase SOX4 expression, which leads to cisplatin resistance, while TGFβ1 was found to repress miR-34c expression. Taken together, our study demonstrates that inhibition of the TGFβ1 pathway could be a strategy to restore cisplatin sensitivity in NPC.
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Affiliation(s)
| | - Mona Teng
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Jacqueline H Law
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Wei Shi
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Jeff P Bruce
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Valentin Petit
- LabEx DEVweCAN, Université de Lyon, F-69000, Lyon, France
| | - Sai W Tsao
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China
| | - Kenneth W Yip
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Fei-Fei Liu
- Princess Margaret Cancer Centre, University Health Network, Toronto, Canada. .,Department of Medical Biophysics, University of Toronto, Toronto, Canada. .,Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada. .,Department of Radiation Oncology, University of Toronto, Toronto, Canada.
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19
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Ummethum H, Hamperl S. Proximity Labeling Techniques to Study Chromatin. Front Genet 2020; 11:450. [PMID: 32477404 PMCID: PMC7235407 DOI: 10.3389/fgene.2020.00450] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Accepted: 04/14/2020] [Indexed: 12/19/2022] Open
Abstract
Mammals contain over 200 different cell types, yet nearly all have the same genomic DNA sequence. It is a key question in biology how the genetic instructions in DNA are selectively interpreted by cells to specify various transcriptional programs and therefore cellular identity. The structural and functional organization of chromatin governs the transcriptional state of individual genes. To understand how genomic loci adopt different levels of gene expression, it is critical to characterize all local chromatin factors as well as long-range interactions in the 3D nuclear compartment. Much of our current knowledge regarding protein interactions in a chromatin context is based on affinity purification of chromatin components coupled to mass spectrometry (AP-MS). AP-MS has been invaluable to map strong protein-protein interactions in the nucleus. However, the interaction is detected after cell lysis and biochemical enrichment, allowing for loss or gain of false positive or negative interaction partners. Recently, proximity-dependent labeling methods have emerged as powerful tools for studying chromatin in its native context. These methods take advantage of engineered enzymes that are fused to a chromatin factor of interest and can directly label all factors in proximity. Subsequent pull-down assays followed by mass spectrometry or sequencing approaches provide a comprehensive snapshot of the proximal chromatin interactome. By combining this method with dCas9, this approach can also be extended to study chromatin at specific genomic loci. Here, we review and compare current proximity-labeling approaches available for studying chromatin, with a particular focus on new emerging technologies that can provide important insights into the transcriptional and chromatin interaction networks essential for cellular identity.
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Affiliation(s)
- Henning Ummethum
- Chromosome Dynamics and Genome Stability, Institute of Epigenetics and Stem Cells, Helmholtz Zentrum München, Munich, Germany
| | - Stephan Hamperl
- Chromosome Dynamics and Genome Stability, Institute of Epigenetics and Stem Cells, Helmholtz Zentrum München, Munich, Germany
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20
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Murtaza N, Uy J, Singh KK. Emerging proteomic approaches to identify the underlying pathophysiology of neurodevelopmental and neurodegenerative disorders. Mol Autism 2020; 11:27. [PMID: 32317014 PMCID: PMC7171839 DOI: 10.1186/s13229-020-00334-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Accepted: 04/06/2020] [Indexed: 12/18/2022] Open
Abstract
Proteomics is the large-scale study of the total protein content and their overall function within a cell through multiple facets of research. Advancements in proteomic methods have moved past the simple quantification of proteins to the identification of post-translational modifications (PTMs) and the ability to probe interactions between these proteins, spatially and temporally. Increased sensitivity and resolution of mass spectrometers and sample preparation protocols have drastically reduced the large amount of cells required and the experimental variability that had previously hindered its use in studying human neurological disorders. Proteomics offers a new perspective to study the altered molecular pathways and networks that are associated with autism spectrum disorders (ASD). The differences between the transcriptome and proteome, combined with the various types of post-translation modifications that regulate protein function and localization, highlight a novel level of research that has not been appropriately investigated. In this review, we will discuss strategies using proteomics to study ASD and other neurological disorders, with a focus on how these approaches can be combined with induced pluripotent stem cell (iPSC) studies. Proteomic analysis of iPSC-derived neurons have already been used to measure changes in the proteome caused by patient mutations, analyze changes in PTMs that resulted in altered biological pathways, and identify potential biomarkers. Further advancements in both proteomic techniques and human iPSC differentiation protocols will continue to push the field towards better understanding ASD disease pathophysiology. Proteomics using iPSC-derived neurons from individuals with ASD offers a window for observing the altered proteome, which is necessary in the future development of therapeutics against specific targets.
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Affiliation(s)
- Nadeem Murtaza
- Stem Cell and Cancer Research Institute, Department of Biochemistry and Biomedical Sciences, McMaster University, 1280 Main Street West, Hamilton, ON, L8N 3Z5, Canada
| | - Jarryll Uy
- Stem Cell and Cancer Research Institute, Department of Biochemistry and Biomedical Sciences, McMaster University, 1280 Main Street West, Hamilton, ON, L8N 3Z5, Canada
| | - Karun K Singh
- Stem Cell and Cancer Research Institute, Department of Biochemistry and Biomedical Sciences, McMaster University, 1280 Main Street West, Hamilton, ON, L8N 3Z5, Canada.
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21
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Budayeva HG, Kirkpatrick DS. Monitoring protein communities and their responses to therapeutics. Nat Rev Drug Discov 2020; 19:414-426. [PMID: 32139903 DOI: 10.1038/s41573-020-0063-y] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/24/2020] [Indexed: 12/19/2022]
Abstract
Most therapeutics are designed to alter the activities of proteins. From metabolic enzymes to cell surface receptors, connecting the function of a protein to a cellular phenotype, to the activity of a drug and to a clinical outcome represents key mechanistic milestones during drug development. Yet, even for therapeutics with exquisite specificity, the sequence of events following target engagement can be complex. Interconnected communities of structural, metabolic and signalling proteins modulate diverse downstream effects that manifest as interindividual differences in efficacy, adverse effects and resistance to therapy. Recent advances in mass spectrometry proteomics have made it possible to decipher these complex relationships and to understand how factors such as genotype, cell type, local environment and external perturbations influence them. In this Review, we explore how proteomic technologies are expanding our understanding of protein communities and their responses to large- and small-molecule therapeutics.
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Affiliation(s)
- Hanna G Budayeva
- Department of Microchemistry, Proteomics and Lipidomics, Genentech, South San Francisco, CA, USA
| | - Donald S Kirkpatrick
- Department of Microchemistry, Proteomics and Lipidomics, Genentech, South San Francisco, CA, USA.
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22
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Jancewicz I, Siedlecki JA, Sarnowski TJ, Sarnowska E. BRM: the core ATPase subunit of SWI/SNF chromatin-remodelling complex-a tumour suppressor or tumour-promoting factor? Epigenetics Chromatin 2019; 12:68. [PMID: 31722744 PMCID: PMC6852734 DOI: 10.1186/s13072-019-0315-4] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Accepted: 10/31/2019] [Indexed: 02/07/2023] Open
Abstract
BRM (BRAHMA) is a core, SWI2/SNF2-type ATPase subunit of SWI/SNF chromatin-remodelling complex (CRC) involved in various important regulatory processes including development. Mutations in SMARCA2, a BRM-encoding gene as well as overexpression or epigenetic silencing were found in various human diseases including cancer. Missense mutations in SMARCA2 gene were recently connected with occurrence of Nicolaides-Baraitser genetics syndrome. By contrast, SMARCA2 duplication rather than mutations is characteristic for Coffin-Siris syndrome. It is believed that BRM usually acts as a tumour suppressor or a tumour susceptibility gene. However, other studies provided evidence that BRM function may differ depending on the cancer type and the disease stage, where BRM may play a role in the disease progression. The existence of alternative splicing forms of SMARCA2 gene, leading to appearance of truncated functional, loss of function or gain-of-function forms of BRM protein suggest a far more complicated mode of BRM-containing SWI/SNF CRCs actions. Therefore, the summary of recent knowledge regarding BRM alteration in various types of cancer and highlighting of differences and commonalities between BRM and BRG1, another SWI2/SNF2 type ATPase, will lead to better understanding of SWI/SNF CRCs function in cancer development/progression. BRM has been recently proposed as an attractive target for various anticancer therapies including the use of small molecule inhibitors, synthetic lethality induction or proteolysis-targeting chimera (PROTAC). However, such attempts have some limitations and may lead to severe side effects given the homology of BRM ATPase domain to other ATPases, as well as due to the tissue-specific appearance of BRM- and BRG1-containing SWI/SNF CRC classes. Thus, a better insight into BRM-containing SWI/SNF CRCs function in human tissues and cancers is clearly required to provide a solid basis for establishment of new safe anticancer therapies.
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Affiliation(s)
- Iga Jancewicz
- Department of Molecular and Translational Oncology, The Maria Sklodowska-Curie Institute-Oncology Center in Warsaw, Wawelska 15B, 02-034, Warsaw, Poland
| | - Janusz A Siedlecki
- Department of Molecular and Translational Oncology, The Maria Sklodowska-Curie Institute-Oncology Center in Warsaw, Wawelska 15B, 02-034, Warsaw, Poland
| | - Tomasz J Sarnowski
- Institute of Biochemistry and Biophysics Polish Academy of Sciences, Pawinskiego 5A, 02-106, Warsaw, Poland.
| | - Elzbieta Sarnowska
- Department of Molecular and Translational Oncology, The Maria Sklodowska-Curie Institute-Oncology Center in Warsaw, Wawelska 15B, 02-034, Warsaw, Poland.
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23
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Ji L, Zhang R, Chen J, Xue Q, Moghal N, Tsao MS. PIDD interaction with KEAP1 as a new mutation-independent mechanism to promote NRF2 stabilization and chemoresistance in NSCLC. Sci Rep 2019; 9:12437. [PMID: 31455821 PMCID: PMC6712044 DOI: 10.1038/s41598-019-48763-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2018] [Accepted: 08/12/2019] [Indexed: 01/15/2023] Open
Abstract
Chemotherapy resistance is a major problem in non-small cell lung cancer (NSCLC) treatment. A major mechanism of chemoresistance involves stabilization of the NRF2 transcription factor. NRF2 levels are normally tightly regulated through interaction with KEAP1, an adaptor that targets NRF2 to the CUL3 E3 ubiquitin ligase for proteolysis. In NSCLC, aberrant NRF2 stabilization is best understood through mutations in NRF2, KEAP1, or CUL3 that disrupt their interaction. Biochemical studies, however, have revealed that NRF2 can also be stabilized through expression of KEAP1-interacting proteins that competitively sequester KEAP1 away from NRF2. Here, we have identified PIDD, as a novel KEAP1-interactor in NSCLC that regulates NRF2. We show that this interaction allows PIDD to reduce NRF2 ubiquitination and increase its stability. We also demonstrate that PIDD promotes chemoresistance in NSCLC cells both in vitro and in vivo, and that this effect is dependent on NRF2. Finally, we report that NRF2 protein expression in a NSCLC cohort exceeds the typical incidence of combined NRF2, KEAP1, and CUL3 mutations, and that NRF2 expression in this cohort is correlated with PIDD levels. Our data identify PIDD as a new NRF2 regulator, and suggest that variations in PIDD levels contribute to differential chemosensitivities among NSCLC patients.
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Affiliation(s)
- Lili Ji
- Department of Pathology, Medical College of Nantong University, Nantong, Jiangsu, 226001, China. .,Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, M5G 1L7, Canada.
| | - Rui Zhang
- Department of Tuberculosis, the Sixth Hospital of Nantong, Nantong, Jiangsu, 226000, China
| | - Jie Chen
- Department of Oncology, Jiangyin People's Hospital, Jiangyin, China
| | - Qun Xue
- Department of Thoracic Surgery, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, China
| | - Nadeem Moghal
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, M5G 1L7, Canada
| | - Ming-Sound Tsao
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, M5G 1L7, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, M5G 1L7, Canada
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24
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Béganton B, Solassol I, Mangé A, Solassol J. Protein interactions study through proximity-labeling. Expert Rev Proteomics 2019; 16:717-726. [PMID: 31269821 DOI: 10.1080/14789450.2019.1638769] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Introduction: The proteome is a dynamic system in which protein-protein interactions play a crucial part in shaping the cell phenotype. However, given the current limitations of available technologies to describe the dynamic nature of these interactions, the identification of protein-protein interactions has long been a major challenge in proteomics. In recent years, the development of BioID and APEX, two proximity-tagging technologies, have opened-up new perspectives and have already started to change our conception of protein-protein interactions, and more generally, of the proteome. With a broad range of application encompassing health, these new technologies are currently setting milestones crucial to understand fine cellular mechanisms. Area covered: In this article, we describe both the recent and the more conventional available tools to study protein-protein interactions, compare the advantages and the limitations of these techniques, and discuss the recent advancements led by the proximity tagging techniques to refine our conception of the proteome. Expert opinion: The recent development of proximity labeling techniques emphasizes the growing importance of such technologies to decipher cellular mechanism. Although several challenges still need to be addressed, many fields can benefit from these tools and notably the detection of new therapeutic targets for patient care.
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Affiliation(s)
- Benoît Béganton
- IRCM, INSERM, Univ Montpellier, ICM , Montpellier , France.,Department of Pathology and onco-biology, CHU Montpellier , Montpellier , France
| | - Isabelle Solassol
- Translational Research Unit, Montpellier Cancer Institute , Montpellier , France
| | - Alain Mangé
- IRCM, INSERM, Univ Montpellier, ICM , Montpellier , France
| | - Jérôme Solassol
- IRCM, INSERM, Univ Montpellier, ICM , Montpellier , France.,Department of Pathology and onco-biology, CHU Montpellier , Montpellier , France
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25
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Béganton B, Coyaud E, Mangé A, Solassol J. Approches nouvelles pour l’étude des interactions protéine-protéine. Med Sci (Paris) 2019; 35:223-231. [DOI: 10.1051/medsci/2019035] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Le protéome est un système dynamique où les interactions protéine-protéine occupent une place essentielle pour modeler ensemble le phénotype cellulaire. L’identification de ces interactions a toutefois longtemps représenté un obstacle important en protéomique tant les techniques disponibles ne permettaient pas de rendre compte de ces dynamiques d’interactions. Le développement récent du BioID et de l’APEX, deux technologies de marquage de proximité, ouvre aujourd’hui de nouvelles perspectives. Dans cette revue, nous décrivons les outils disponibles pour étudier les interactions protéine-protéine et discutons des progrès récents apportés par les marquages de proximité pour compléter notre vision du protéome et ainsi mieux comprendre les mécanismes cellulaires.
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26
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Hüser L, Novak D, Umansky V, Altevogt P, Utikal J. Targeting SOX2 in anticancer therapy. Expert Opin Ther Targets 2018; 22:983-991. [PMID: 30366514 DOI: 10.1080/14728222.2018.1538359] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
INTRODUCTION SOX2 is a transcription factor that is important in the development and maintenance of the stem cell state. Furthermore, SOX2 is associated with cancer progression because it promotes the migration, invasion, and proliferation of cancer cells. SOX2 is also expressed in cancer stem cells and appears to be involved in the resistance toward anticancer therapies. These features render SOX2 an attractive target for cancer therapy. Areas covered: In this review, we highlight the role of SOX2 in cancer and in the resistance toward anticancer therapies. We summarize recent studies dealing with SOX2 as a direct or indirect therapeutic target in cancer. Expert opinion: SOX2 is an attractive target in cancer therapy because of its role in cancer progression and therapy resistance. SOX2 is a transcription factor, hence direct targeting is difficult. Studies aimed at a functional depletion, for example by knock-down with siRNAs, are difficult to translate into clinical settings. Alternatively, the identification of SOX2 upstream or downstream regulators that are easier to target is of paramount importance.
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Affiliation(s)
- Laura Hüser
- a Skin Cancer Unit, German Cancer Research Center (DKFZ), Heidelberg and Department of Dermatology, Venereology and Allergology , University Medical Center Mannheim, Ruprecht-Karl University of Heidelberg , Mannheim , Germany
| | - Daniel Novak
- a Skin Cancer Unit, German Cancer Research Center (DKFZ), Heidelberg and Department of Dermatology, Venereology and Allergology , University Medical Center Mannheim, Ruprecht-Karl University of Heidelberg , Mannheim , Germany
| | - Viktor Umansky
- a Skin Cancer Unit, German Cancer Research Center (DKFZ), Heidelberg and Department of Dermatology, Venereology and Allergology , University Medical Center Mannheim, Ruprecht-Karl University of Heidelberg , Mannheim , Germany
| | - Peter Altevogt
- a Skin Cancer Unit, German Cancer Research Center (DKFZ), Heidelberg and Department of Dermatology, Venereology and Allergology , University Medical Center Mannheim, Ruprecht-Karl University of Heidelberg , Mannheim , Germany
| | - Jochen Utikal
- a Skin Cancer Unit, German Cancer Research Center (DKFZ), Heidelberg and Department of Dermatology, Venereology and Allergology , University Medical Center Mannheim, Ruprecht-Karl University of Heidelberg , Mannheim , Germany
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27
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Campbell JD, Yau C, Bowlby R, Liu Y, Brennan K, Fan H, Taylor AM, Wang C, Walter V, Akbani R, Byers LA, Creighton CJ, Coarfa C, Shih J, Cherniack AD, Gevaert O, Prunello M, Shen H, Anur P, Chen J, Cheng H, Hayes DN, Bullman S, Pedamallu CS, Ojesina AI, Sadeghi S, Mungall KL, Robertson AG, Benz C, Schultz A, Kanchi RS, Gay CM, Hegde A, Diao L, Wang J, Ma W, Sumazin P, Chiu HS, Chen TW, Gunaratne P, Donehower L, Rader JS, Zuna R, Al-Ahmadie H, Lazar AJ, Flores ER, Tsai KY, Zhou JH, Rustgi AK, Drill E, Shen R, Wong CK, Stuart JM, Laird PW, Hoadley KA, Weinstein JN, Peto M, Pickering CR, Chen Z, Van Waes C. Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas. Cell Rep 2018; 23:194-212.e6. [PMID: 29617660 PMCID: PMC6002769 DOI: 10.1016/j.celrep.2018.03.063] [Citation(s) in RCA: 207] [Impact Index Per Article: 34.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Revised: 02/26/2018] [Accepted: 03/15/2018] [Indexed: 12/23/2022] Open
Abstract
This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smoking and/or human papillomavirus (HPV). SCCs harbor 3q, 5p, and other recurrent chromosomal copy-number alterations (CNAs), DNA mutations, and/or aberrant methylation of genes and microRNAs, which are correlated with the expression of multi-gene programs linked to squamous cell stemness, epithelial-to-mesenchymal differentiation, growth, genomic integrity, oxidative damage, death, and inflammation. Low-CNA SCCs tended to be HPV(+) and display hypermethylation with repression of TET1 demethylase and FANCF, previously linked to predisposition to SCC, or harbor mutations affecting CASP8, RAS-MAPK pathways, chromatin modifiers, and immunoregulatory molecules. We uncovered hypomethylation of the alternative promoter that drives expression of the ΔNp63 oncogene and embedded miR944. Co-expression of immune checkpoint, T-regulatory, and Myeloid suppressor cells signatures may explain reduced efficacy of immune therapy. These findings support possibilities for molecular classification and therapeutic approaches.
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Affiliation(s)
- Joshua D Campbell
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA; Boston University School of Medicine, Boston, MA 02118, USA
| | - Christina Yau
- Department of Surgery, University of California, San Francisco, San Francisco, CA 94115, USA; Buck Institute for Research on Aging, 8001 Redwood Boulevard, Novato, CA 94945, USA
| | - Reanne Bowlby
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Yuexin Liu
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Kevin Brennan
- Department of Medicine-Biomedical Informatics Research, Stanford University, Stanford, CA 94305, USA
| | - Huihui Fan
- Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - Alison M Taylor
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Chen Wang
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Vonn Walter
- Department of Public Health Sciences, Penn State Milton Hershey Medical Center, Hershey, PA 17033, USA; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Rehan Akbani
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Lauren Averett Byers
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Chad J Creighton
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Medicine and Dan L Duncan Comprehensive Cancer Center Division of Biostatistics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Cristian Coarfa
- Department of Molecular & Cell Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Juliann Shih
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Andrew D Cherniack
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Olivier Gevaert
- Department of Medicine-Biomedical Informatics Research, Stanford University, Stanford, CA 94305, USA
| | - Marcos Prunello
- Department of Medicine-Biomedical Informatics Research, Stanford University, Stanford, CA 94305, USA
| | - Hui Shen
- Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - Pavana Anur
- Department of Molecular & Medical Genetics, Oregon Health & Science University, Portland, OR 97201, USA
| | - Jianhong Chen
- Head and Neck Surgery Branch, National Institute on Deafness and Other Communication Disorders, NIH, Bethesda, MD 20892, USA
| | - Hui Cheng
- Head and Neck Surgery Branch, National Institute on Deafness and Other Communication Disorders, NIH, Bethesda, MD 20892, USA
| | - D Neil Hayes
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Susan Bullman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Chandra Sekhar Pedamallu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Akinyemi I Ojesina
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA; Hudson Alpha Institute for Biotechnology, Huntsville, AL 35806, USA
| | - Sara Sadeghi
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Karen L Mungall
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - A Gordon Robertson
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC V5Z 4S6, Canada
| | - Christopher Benz
- Buck Institute for Research on Aging, 8001 Redwood Boulevard, Novato, CA 94945, USA
| | - Andre Schultz
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Rupa S Kanchi
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Carl M Gay
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Apurva Hegde
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Lixia Diao
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jing Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Wencai Ma
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Pavel Sumazin
- Department of Medicine-Pediatrics, Texas Children's Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Hua-Sheng Chiu
- Department of Medicine-Pediatrics, Texas Children's Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Ting-Wen Chen
- Department of Medicine-Pediatrics, Texas Children's Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Preethi Gunaratne
- Department of Biology & Biochemistry, UH-SeqNEdit Core, University of Houston, Houston, TX 77204, USA; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Larry Donehower
- Center for Comparative Medicine, Baylor College of Medicine, Houston, TX 77030, USA
| | - Janet S Rader
- Department of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Rosemary Zuna
- University of Oklahoma Health Sciences Center, Department of Pathology, Oklahoma City, OK 73104, USA
| | - Hikmat Al-Ahmadie
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Alexander J Lazar
- Departments of Pathology, Genomic Medicine, Dermatology, and Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77401, USA
| | - Elsa R Flores
- Molecular Oncology, Moffitt Cancer Center, Tampa, FL 33612, USA
| | - Kenneth Y Tsai
- Departments of Anatomic Pathology and Tumor Biology, Moffitt Cancer Center, Tampa, FL 33612, USA
| | - Jane H Zhou
- Department of Pathology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
| | - Anil K Rustgi
- Division of Gastroenterology, Departments of Medicine and Genetics, Abramson Cancer Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Esther Drill
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Ronglei Shen
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Christopher K Wong
- Department of Biomolecular Engineering, Center for Biomolecular Sciences and Engineering University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Joshua M Stuart
- Department of Biomolecular Engineering, Center for Biomolecular Sciences and Engineering University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Peter W Laird
- Center for Epigenetics, Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - Katherine A Hoadley
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - John N Weinstein
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Myron Peto
- Department of Molecular & Medical Genetics, Oregon Health & Science University, Portland, OR 97201, USA
| | - Curtis R Pickering
- Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Zhong Chen
- Head and Neck Surgery Branch, National Institute on Deafness and Other Communication Disorders, NIH, Bethesda, MD 20892, USA.
| | - Carter Van Waes
- Head and Neck Surgery Branch, National Institute on Deafness and Other Communication Disorders, NIH, Bethesda, MD 20892, USA.
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