Literature DB >> 27493877

Growth differentiation factor-15 as a prognostic biomarker in cancer patients.

Junichi Ishida1, Masaaki Konishi1, Masakazu Saitoh1, Jochen Springer1.   

Abstract

Entities:  

Year:  2016        PMID: 27493877      PMCID: PMC4876072          DOI: 10.1002/jcsm.12123

Source DB:  PubMed          Journal:  J Cachexia Sarcopenia Muscle        ISSN: 2190-5991            Impact factor:   12.910


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Growth differentiation factor‐15 (GDF15) is a member of the transforming growth factor beta superfamily and has been demonstrated to play multiple roles in various pathological conditions such as cancer, inflammatory diseases, cardiovascular diseases, and metabolic disorders.1 Furthermore, recent studies have shown that plasma levels of GDF15 increased in patients with chronic diseases described previously1 and that elevated GDF15 was associated with poor prognosis in patients with malignancy such as prostate cancer and upper gastrointestinal cancer.2, 3 In this study, Lerner et al. reported that elevated plasma GDF15 levels are associated with increased cancer‐related weight loss and decreased survival in cancer male patients.4 Cancer‐related weight loss has been shown to be an independent predictor for survival in cancer patients,5 which suggests that treatment for cancer cachexia might lead to the better outcome in cancer patients with weight loss. Recent studies have found several diagnostic biomarkers for loss of muscle mass such as N‐terminal peptide of procollagen type III, C‐terminal agrin fragment, leptin, ghrelin, and obestatin6, 7 and prognostic biomarkers in cancer patients such as matrix metalloproteinases, survivin, and butyrylcholinesterase.8, 9, 10 Although GDF15 might also be a useful prognostic marker in cancer patients, the small sample size, the heterogeneous population, and the selection bias could have some impacts on the findings in this study. To clarify the pathophysiological significance of GDF15 in cancer patients, validation studies on larger sample size including various cancer types and different pathological stages are needed. In addition, further research should demonstrate which biomarker including GDF15 and other novel biomarkers shows better diagnostic or prognostic performance or whether a multi‐marker approach is superior to each biomarker. Finally, it is of great research interest and clinical value whether these biomarkers could be the cancer therapeutic targets in this population.

Acknowledgements

We acknowledge support by the German Research Foundation and the Open Access Publication Funds of the Göttingen University. We certify that we comply with the ethical guidelines for publishing in the Journal of Cachexia, Sarcopenia and Muscle: update 2015.11
  11 in total

Review 1.  Validating survivin as a cancer therapeutic target.

Authors:  Dario C Altieri
Journal:  Nat Rev Cancer       Date:  2003-01       Impact factor: 60.716

Review 2.  Matrix metalloproteinases in cancer: prognostic markers and therapeutic targets.

Authors:  Pia Vihinen; Veli-Matti Kähäri
Journal:  Int J Cancer       Date:  2002-05-10       Impact factor: 7.396

3.  Macrophage inhibitory cytokine 1: a new prognostic marker in prostate cancer.

Authors:  David A Brown; Fredrik Lindmark; Pär Stattin; Katarina Bälter; Hans-Olov Adami; Sigun L Zheng; Jianfeng Xu; William B Isaacs; Henrik Grönberg; Samuel N Breit; Fredrik E Wiklund
Journal:  Clin Cancer Res       Date:  2009-10-20       Impact factor: 12.531

Review 4.  The multiple facets of the TGF-β family cytokine growth/differentiation factor-15/macrophage inhibitory cytokine-1.

Authors:  Klaus Unsicker; Björn Spittau; Kerstin Krieglstein
Journal:  Cytokine Growth Factor Rev       Date:  2013-06-18       Impact factor: 7.638

5.  Plasma MIC-1 correlates with systemic inflammation but is not an independent determinant of nutritional status or survival in oesophago-gastric cancer.

Authors:  R J E Skipworth; D A C Deans; B H L Tan; K Sangster; S Paterson-Brown; D A Brown; M Hunter; S N Breit; J A Ross; K C H Fearon
Journal:  Br J Cancer       Date:  2010-01-26       Impact factor: 7.640

6.  Cancer cachexia: impact, mechanisms and emerging treatments.

Authors:  Vanessa C Vaughan; Peter Martin; Paul A Lewandowski
Journal:  J Cachexia Sarcopenia Muscle       Date:  2012-10-25       Impact factor: 12.910

7.  Butyrylcholinesterase as a prognostic marker: a review of the literature.

Authors:  Lidia Santarpia; Ilenia Grandone; Franco Contaldo; Fabrizio Pasanisi
Journal:  J Cachexia Sarcopenia Muscle       Date:  2012-09-06       Impact factor: 12.910

8.  Plasma growth differentiation factor 15 is associated with weight loss and mortality in cancer patients.

Authors:  Lorena Lerner; Teresa G Hayes; Nianjun Tao; Brian Krieger; Bin Feng; Zhenhua Wu; Richard Nicoletti; M Isabel Chiu; Jeno Gyuris; Jose M Garcia
Journal:  J Cachexia Sarcopenia Muscle       Date:  2015-04-30       Impact factor: 12.910

9.  Biomarkers of muscle quality: N-terminal propeptide of type III procollagen and C-terminal agrin fragment responses to resistance exercise training in older adults.

Authors:  Maren S Fragala; Adam R Jajtner; Kyle S Beyer; Jeremy R Townsend; Nadia S Emerson; Tyler C Scanlon; Leonardo P Oliveira; Jay R Hoffman; Jeffrey R Stout
Journal:  J Cachexia Sarcopenia Muscle       Date:  2013-11-07       Impact factor: 12.910

10.  Ethical guidelines for publishing in the Journal of Cachexia, Sarcopenia and Muscle: update 2015.

Authors:  Stephan von Haehling; John E Morley; Andrew J S Coats; Stefan D Anker
Journal:  J Cachexia Sarcopenia Muscle       Date:  2015-11-11       Impact factor: 12.910

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  2 in total

Review 1.  Casting the net broader to confirm our imaginations: the long road to treating wasting disorders.

Authors:  Stephan von Haehling
Journal:  J Cachexia Sarcopenia Muscle       Date:  2017-12       Impact factor: 12.910

2.  Contemporary publication patterns in the Journal of Cachexia, Sarcopenia and Muscle by type and sub-speciality: facts and numbers.

Authors:  Louise G Shewan
Journal:  J Cachexia Sarcopenia Muscle       Date:  2018-12       Impact factor: 12.910

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