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Westerberg E, Molin CJ, Spörndly Nees S, Widenfalk J, Punga AR. The impact of physical exercise on neuromuscular function in Myasthenia gravis patients: A single-subject design study. Medicine (Baltimore) 2018; 97:e11510. [PMID: 30075515 PMCID: PMC6081147 DOI: 10.1097/md.0000000000011510] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Accepted: 06/20/2018] [Indexed: 11/30/2022] Open
Abstract
There is a need for tailored exercise recommendations to patients with Myasthenia gravis (MG). A few pilot studies have recently shown that physical exercise in accordance with general recommendations to healthy adults can be applied safely to patients with mild MG symptoms. How physical exercise affects muscle parameters and risk factors for lifestyle diseases in patients with MG is, however, only poorly known. We evaluated functional skeletal muscle parameters in 11 MG patients, before and after conducting a 12-week supervised physical therapy regimen of aerobic and resistance strength training. After the training program, parameters of the rectus femoris muscle improved: compound motor action potential (from 4.5 ± 2.6 to 5.3 ± 2.8 mV, P = .016), isometric muscle force (from 25.2 ± 4.4 to 30.2 ± 3.8 kg; P = .014), and ultrasound muscle thickness (from 19.6 ± 5.6 to 23.0 ± 3.9 mm, P = .0098) all increased. Further, physical performance based measures improved, including the 30-Second Chair Stand Test (median change +2, P = .0039) as well as the clinical MG composite score [from 3 (2-5) to 2 (0-4), P = .043]. No improvement in muscle function was observed in the biceps brachii muscle. These findings indicate that MG patients can improve their muscular functions by incorporating aerobic and resistance strength training, especially in proximal leg muscles. This is important knowledge when physical therapy is considered for this patient group, for whom no guidelines on physical exercise currently exist.
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Affiliation(s)
| | | | - Sören Spörndly Nees
- Department of Physiotherapy, Department of Neuroscience, Uppsala University, Uppsala, Sweden
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Abazeed ME, Adams DJ, Hurov KE, Tamayo P, Creighton CJ, Sonkin D, Giacomelli AO, Du C, Fries DF, Wong KK, Mesirov JP, Loeffler JS, Schreiber SL, Hammerman PS, Meyerson M. Integrative radiogenomic profiling of squamous cell lung cancer. Cancer Res 2013; 73:6289-98. [PMID: 23980093 PMCID: PMC3856255 DOI: 10.1158/0008-5472.can-13-1616] [Citation(s) in RCA: 90] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Radiotherapy is one of the mainstays of anticancer treatment, but the relationship between the radiosensitivity of cancer cells and their genomic characteristics is still not well defined. Here, we report the development of a high-throughput platform for measuring radiation survival in vitro and its validation in comparison with conventional clonogenic radiation survival analysis. We combined results from this high-throughput assay with genomic parameters in cell lines from squamous cell lung carcinoma, which is standardly treated by radiotherapy, to identify parameters that predict radiation sensitivity. We showed that activation of NFE2L2, a frequent event in lung squamous cancers, confers radiation resistance. An expression-based, in silico screen nominated inhibitors of phosphoinositide 3-kinase (PI3K) as NFE2L2 antagonists. We showed that the selective PI3K inhibitor, NVP-BKM120, both decreased NRF2 protein levels and sensitized NFE2L2 or KEAP1-mutant cells to radiation. We then combined results from this high-throughput assay with single-sample gene set enrichment analysis of gene expression data. The resulting analysis identified pathways implicated in cell survival, genotoxic stress, detoxification, and innate and adaptive immunity as key correlates of radiation sensitivity. The integrative and high-throughput methods shown here for large-scale profiling of radiation survival and genomic features of solid-tumor-derived cell lines should facilitate tumor radiogenomics and the discovery of genotype-selective radiation sensitizers and protective agents.
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Affiliation(s)
| | - Drew J. Adams
- Chemical Biology Program, Broad Institute, Cambridge, MA 02142
| | | | - Pablo Tamayo
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142
| | - Chad J. Creighton
- Department of Medicine, Baylor College of Medicine, Houston, Texas 77030
| | - Dmitriy Sonkin
- Novartis Institute for Biomedical Research, Cambridge, MA 02139
| | | | | | - Daniel F. Fries
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215
| | - Kwok-Kin Wong
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215
- Belfer Institute for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA 02214
| | | | - Jay S. Loeffler
- Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114
| | - Stuart L. Schreiber
- Chemical Biology Program, Broad Institute, Cambridge, MA 02142
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138
- Howard Hughes Medical Institute, Broad Institute, Cambridge, MA 02142
| | - Peter S. Hammerman
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215
| | - Matthew Meyerson
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215
- Department of Pathology, Brigham and Women’s Hospital, Boston, Massachusetts 02215
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Santagata S, Mendillo ML, Tang YC, Subramanian A, Perley CC, Roche SP, Wong B, Narayan R, Kwon H, Koeva M, Amon A, Golub TR, Porco JA, Whitesell L, Lindquist S. Tight coordination of protein translation and HSF1 activation supports the anabolic malignant state. Science 2013; 341:1238303. [PMID: 23869022 PMCID: PMC3959726 DOI: 10.1126/science.1238303] [Citation(s) in RCA: 212] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The ribosome is centrally situated to sense metabolic states, but whether its activity, in turn, coherently rewires transcriptional responses is unknown. Here, through integrated chemical-genetic analyses, we found that a dominant transcriptional effect of blocking protein translation in cancer cells was inactivation of heat shock factor 1 (HSF1), a multifaceted transcriptional regulator of the heat-shock response and many other cellular processes essential for anabolic metabolism, cellular proliferation, and tumorigenesis. These analyses linked translational flux to the regulation of HSF1 transcriptional activity and to the modulation of energy metabolism. Targeting this link with translation initiation inhibitors such as rocaglates deprived cancer cells of their energy and chaperone armamentarium and selectively impaired the proliferation of both malignant and premalignant cells with early-stage oncogenic lesions.
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Affiliation(s)
- Sandro Santagata
- Department of Pathology, Brigham and Women’s Hospital, and Harvard Medical School, Boston, MA, USA
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
| | - Marc L. Mendillo
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Howard Hughes Medical Institute, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Yun-chi Tang
- Howard Hughes Medical Institute, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
- David H. Koch Institute for Integrative Cancer Research and Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | | | - Casey C. Perley
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Howard Hughes Medical Institute, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Stéphane P. Roche
- Department of Chemistry, Center for Chemical Methodology and Library Development (CMLD-BU), Boston University, Boston MA, USA
| | - Bang Wong
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Rajiv Narayan
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Hyoungtae Kwon
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Howard Hughes Medical Institute, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Martina Koeva
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Howard Hughes Medical Institute, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Angelika Amon
- Howard Hughes Medical Institute, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
- David H. Koch Institute for Integrative Cancer Research and Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Todd R. Golub
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - John A. Porco
- Department of Chemistry, Center for Chemical Methodology and Library Development (CMLD-BU), Boston University, Boston MA, USA
| | - Luke Whitesell
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
| | - Susan Lindquist
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Howard Hughes Medical Institute, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
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