Literature DB >> 23770121

Muscle wasting in cancer.

N Johns1, N A Stephens, K C H Fearon.   

Abstract

Skeletal muscle loss appears to be the most significant clinical event in cancer cachexia and is associated with a poor outcome. With regard to such muscle loss, despite extensive study in a range of models, there is ongoing debate as to whether a reduction in protein synthesis, an increase in degradation or a combination of both is the more relevant. Each model differs in terms of key mediators and the pathways activated in skeletal muscle. Certain models do suggest that decreased synthesis accompanied by enhanced protein degradation via the ubiquitin proteasome pathway (UPP) is important. Murine models tend to involve rapid development of cachexia and may represent more acute muscle atrophy rather than the chronic wasting observed in humans. There is a paucity of human data both at a basic descriptive level and at a molecular/mechanism level. Progress in treating the human form of cancer cachexia can only move forwards through carefully designed large randomised controlled clinical trials of specific therapies with validated biomarkers of relevance to underlying mechanisms. This article is part of a Directed Issue entitled: Molecular basis of muscle wasting.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  ACTRIIB; APC; APPR; ARC; ATP; C-26; CHO; COPD; CRPc; CSA; Cachexia; Cancer; Chinese hamster ovary; DGC; DM; DNA; Degradation; EDL; EIF3F; F-box protein 40; F-bxo40; FCSA; FOXO; ICU; IFN; IGF; IL; IRS; JAK; Janus associated kinase; LBM; LLC; Lewis lung carcinoma; MA; MAC16; MAFbx; MAPK; MCR; MRI; MSH; MURF-1; Muscle; MyHC; NFκB; NPY; NSCLC; PBMC; PI3K; POMC; QoL; RNA; STAT; Synthesis; T helper; T(h); TA; TAM; TGF; TNF; TWEAK; UPP; Ub; activin receptor type-2B; acute phase protein response; adenomatosis polyposis coli; adenosine-5′-triphosphate; arcuate nucleus; chronic obstructive pulmonary disease; colon-26 adenocarcinoma mouse model; cross sectional area; deoxyribonucleic acid; diabetes mellitus; dystrophin glycoprotein complex; eukaryotic translation initiation factor 3 subunit F; extensor digitorum longus; fibre cross sectional area; forkhead box class O transcription factor; insulin receptor substrate; insulin-like growth factor; intensive care unit; interferon; interleukin; lean body mass; mAb; mRNA; mTOR; magnetic resonance imaging; mammalian target of rapamycin; megestrol acetate; melanocortin receptor; melanocyte-stimulating hormone; messenger ribonucleic acid; mitogen activated kinase; monoclonal antibody; murine adenocarcinoma 16 mouse model; muscle-specific F-box (also known as atrogin-1); muscle-specific RING finger-1; myosin heavy chain; neuropeptide Y; non-small cell lung cancer; nuclear factor-κβ; peripheral blood mononuclear cell; phosphatidylinositol 3-kinase; pro-opiomelanocortin; quality of life; reactive protein; ribonucleic acid; signal transducer and activator of transcription; tibialis anterior; transforming growth factor; tumour necrosis factor; tumour necrosis factor-like weak inducer of apoptosis; tumour-associated macrophage; ubiquitin; ubiquitin-proteasome pathway

Mesh:

Year:  2013        PMID: 23770121     DOI: 10.1016/j.biocel.2013.05.032

Source DB:  PubMed          Journal:  Int J Biochem Cell Biol        ISSN: 1357-2725            Impact factor:   5.085


  70 in total

1.  The Toll-Like Receptor/MyD88/XBP1 Signaling Axis Mediates Skeletal Muscle Wasting during Cancer Cachexia.

Authors:  Kyle R Bohnert; Praneeth Goli; Anirban Roy; Aditya K Sharma; Guangyan Xiong; Yann S Gallot; Ashok Kumar
Journal:  Mol Cell Biol       Date:  2019-07-16       Impact factor: 4.272

2.  Creatine supplementation in Walker-256 tumor-bearing rats prevents skeletal muscle atrophy by attenuating systemic inflammation and protein degradation signaling.

Authors:  Paola S Cella; Poliana C Marinello; Fernando H Borges; Diogo F Ribeiro; Patrícia Chimin; Mayra T J Testa; Philippe B Guirro; José A Duarte; Rubens Cecchini; Flávia A Guarnier; Rafael Deminice
Journal:  Eur J Nutr       Date:  2019-02-26       Impact factor: 5.614

Review 3.  Skeletal muscle tissue engineering: methods to form skeletal myotubes and their applications.

Authors:  Serge Ostrovidov; Vahid Hosseini; Samad Ahadian; Toshinori Fujie; Selvakumar Prakash Parthiban; Murugan Ramalingam; Hojae Bae; Hirokazu Kaji; Ali Khademhosseini
Journal:  Tissue Eng Part B Rev       Date:  2014-02-24       Impact factor: 6.389

4.  Cancer cachexia: getting to the heart of the matter.

Authors:  John D Groarke; Susan Cheng; Lee W Jones; Javid Moslehi
Journal:  Eur Heart J       Date:  2019-10-21       Impact factor: 29.983

5.  PDK4 drives metabolic alterations and muscle atrophy in cancer cachexia.

Authors:  Fabrizio Pin; Leah J Novinger; Joshua R Huot; Robert A Harris; Marion E Couch; Thomas M O'Connell; Andrea Bonetto
Journal:  FASEB J       Date:  2019-03-20       Impact factor: 5.191

Review 6.  The Prevalence and Prognostic Value of Low Muscle Mass in Cancer Patients: A Review of the Literature.

Authors:  Hánah N Rier; Agnes Jager; Stefan Sleijfer; Andrea B Maier; Mark-David Levin
Journal:  Oncologist       Date:  2016-07-13

Review 7.  Dysregulation of skeletal muscle protein metabolism by alcohol.

Authors:  Jennifer L Steiner; Charles H Lang
Journal:  Am J Physiol Endocrinol Metab       Date:  2015-03-10       Impact factor: 4.310

Review 8.  Nutritional status and muscle dysfunction in chronic respiratory diseases: stable phase versus acute exacerbations.

Authors:  Joaquim Gea; Antoni Sancho-Muñoz; Roberto Chalela
Journal:  J Thorac Dis       Date:  2018-05       Impact factor: 2.895

Review 9.  Cachexia in patients with oesophageal cancer.

Authors:  Poorna Anandavadivelan; Pernilla Lagergren
Journal:  Nat Rev Clin Oncol       Date:  2015-11-17       Impact factor: 66.675

10.  Inhibition of ER stress and unfolding protein response pathways causes skeletal muscle wasting during cancer cachexia.

Authors:  Kyle R Bohnert; Yann S Gallot; Shuichi Sato; Guangyan Xiong; Sajedah M Hindi; Ashok Kumar
Journal:  FASEB J       Date:  2016-05-20       Impact factor: 5.191

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