Muscle Wasting in Cancer (MWIC)
MWIC
Biochemical and Functional Biomarkers of Cachexia in Cancer Patients
1 other identifier
observational
282
1 country
1
Brief Summary
One way cancer affects people is through weight loss. During this weight loss (called cachexia), all types of body tissue are lost, but there is a greater rate of muscle loss than fat. Cancer patients with cachexia show decreased quality of life, decreased response to treatment (e.g. chemotherapy), increased complications from surgery, and shorter overall survival. The Investigators aim to identify molecular (and patient) factors within the tissues and bodily fluids of patients with cancer and cachexia in order to identify patients at risk of weight loss, and identify potential therapies. For this, the Investigators aim to take patient samples (muscle, fat, tumour, urine and blood) whilst patients are asleep (general anaesthesia) during their operation to remove the cancer. These samples, and similar samples taken in previous studies, will be analysed in the laboratory. Along with the sample taking, the Investigators aim to perform nutritional assessments of patients before and after surgery to get an accurate picture of their weight loss. This will include simple measurements (e.g. height/weight), and computer reanalysis of their initial diagnostic computed tomography (CT) scans (this study will not require any additional scans for patients). The Investigators also aim to assess how their muscles function, by asking them to perform walk tests and wear a physical activity meter, and assess their quality of life through questionnaires. The Investigators aim to perform nutritional and functional assessments pre-surgery and at 2-3 appointments post-surgery, up to a period of 12 months. At these timepoints, the Investigators also aim to take repeat blood and urine samples, and where possible, one additional thigh muscle biopsy. Repeated assessments allow comparison between "cancer" and "cured" states. The study will take 2 years for patient recruitment. For comparison, the Investigators also aim to examine similar tissue and fluid samples (except tumour) from non-cancer patients who are having surgery for benign conditions (e.g. hernia).
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Nov 2015
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
November 26, 2015
CompletedFirst Submitted
Initial submission to the registry
May 30, 2017
CompletedFirst Posted
Study publicly available on registry
June 19, 2017
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 1, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
August 1, 2025
CompletedJanuary 16, 2026
January 1, 2026
9.7 years
May 30, 2017
January 14, 2026
Conditions
Outcome Measures
Primary Outcomes (1)
Skeletal muscle index of cancer and control patients
CT measured muscularity performed on preoperative CT scans using validated software
Analysis of CT scans performed between diagnosis and operation, up to 16 weeks from diagnosis
Secondary Outcomes (5)
Biochemical analysis of rectus muscle biopsies
Performed in batches on rectus biopsies taken at time of operation, within 6 months of operation
Cancer patient 5-year postoperative survival
Up to 5 years postoperatively
Measurement of patients BMI
Performed at clinic between diagnosis and operation, up to 16 weeks from date of diagnosis
Detailed phenotyping of patients gait speed
Performed at preoperative clinic, up to 16 weeks from date of diagnosis
Detailed description of patients quality of life
Performed at clinic before operation, up to 16 weeks from date of diagnosis
Study Arms (2)
Cancer
Patients with oesophagogastric, hepatobiliary, and colorectal cancer for resectional surgery
Non-cancer
Patients undergoing abdominal operation for non-inflammatory, non-cancer conditions
Eligibility Criteria
Patients referred to the NHS Lothian oesophagogastric, hepatobiliary, and colorectal MDT will be screened for eligibility. In addition, patients attending NHS Lothian outpatient clinics will be screened for eligibility.
You may qualify if:
- Patients identified at multidisciplinary team meetings (MDT) as having oesophagogastric, hepatobiliary, and colorectal cancer suitable for resection
- Patients over 18 years of age
- Patients identified at surgical clinic as being planned for an abdominal operation for a non-cancer, non-inflammatory condition
You may not qualify if:
- Patients with inflammatory conditions or other condition other than cancer that might cause muscle wasting
- Patients without the capacity to consent
- Members of vulnerable groups
- Patients not undergoing abdominal surgery
- Patients undergoing totally minimally invasive (laparoscopic) surgery, with no open or hand-assisted component affording easy access to rectus muscle biopsy
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Edinburghlead
- NHS Lothiancollaborator
- Novartiscollaborator
Study Sites (1)
Royal Infirmary of Edinburgh
Edinburgh, Lothian, EH16 4SA, United Kingdom
Related Publications (33)
Fearon K, Strasser F, Anker SD, Bosaeus I, Bruera E, Fainsinger RL, Jatoi A, Loprinzi C, MacDonald N, Mantovani G, Davis M, Muscaritoli M, Ottery F, Radbruch L, Ravasco P, Walsh D, Wilcock A, Kaasa S, Baracos VE. Definition and classification of cancer cachexia: an international consensus. Lancet Oncol. 2011 May;12(5):489-95. doi: 10.1016/S1470-2045(10)70218-7. Epub 2011 Feb 4.
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PMID: 9554417BACKGROUNDMourtzakis M, Prado CM, Lieffers JR, Reiman T, McCargar LJ, Baracos VE. A practical and precise approach to quantification of body composition in cancer patients using computed tomography images acquired during routine care. Appl Physiol Nutr Metab. 2008 Oct;33(5):997-1006. doi: 10.1139/H08-075.
PMID: 18923576BACKGROUNDMacDonald AJ, Greig CA, Baracos V. The advantages and limitations of cross-sectional body composition analysis. Curr Opin Support Palliat Care. 2011 Dec;5(4):342-9. doi: 10.1097/SPC.0b013e32834c49eb.
PMID: 21986910BACKGROUNDAwad S, Tan BH, Cui H, Bhalla A, Fearon KC, Parsons SL, Catton JA, Lobo DN. Marked changes in body composition following neoadjuvant chemotherapy for oesophagogastric cancer. Clin Nutr. 2012 Feb;31(1):74-7. doi: 10.1016/j.clnu.2011.08.008. Epub 2011 Aug 27.
PMID: 21875767BACKGROUNDKhal J, Hine AV, Fearon KC, Dejong CH, Tisdale MJ. Increased expression of proteasome subunits in skeletal muscle of cancer patients with weight loss. Int J Biochem Cell Biol. 2005 Oct;37(10):2196-206. doi: 10.1016/j.biocel.2004.10.017. Epub 2004 Dec 7.
PMID: 16125116BACKGROUNDEley HL, Skipworth RJ, Deans DA, Fearon KC, Tisdale MJ. Increased expression of phosphorylated forms of RNA-dependent protein kinase and eukaryotic initiation factor 2alpha may signal skeletal muscle atrophy in weight-losing cancer patients. Br J Cancer. 2008 Jan 29;98(2):443-9. doi: 10.1038/sj.bjc.6604150. Epub 2007 Dec 18.
PMID: 18087277BACKGROUNDStephens NA, Gallagher IJ, Rooyackers O, Skipworth RJ, Tan BH, Marstrand T, Ross JA, Guttridge DC, Lundell L, Fearon KC, Timmons JA. Using transcriptomics to identify and validate novel biomarkers of human skeletal muscle cancer cachexia. Genome Med. 2010 Jan 15;2(1):1. doi: 10.1186/gm122.
PMID: 20193046BACKGROUNDJohns N, Stephens NA, Preston T. Muscle protein kinetics in cancer cachexia. Curr Opin Support Palliat Care. 2012 Dec;6(4):417-23. doi: 10.1097/SPC.0b013e328359e6dd.
PMID: 23123817BACKGROUNDJohns N, Stephens NA, Fearon KC. Muscle wasting in cancer. Int J Biochem Cell Biol. 2013 Oct;45(10):2215-29. doi: 10.1016/j.biocel.2013.05.032. Epub 2013 Jun 11.
PMID: 23770121BACKGROUNDSkipworth RJ, Stewart GD, Bhana M, Christie J, Sturgeon CM, Guttridge DC, Cronshaw AD, Fearon KC, Ross JA. Mass spectrometric detection of candidate protein biomarkers of cancer cachexia in human urine. Int J Oncol. 2010 Apr;36(4):973-82. doi: 10.3892/ijo_00000577.
PMID: 20198343BACKGROUNDStephens NA, Skipworth RJ, Fearon KC. Cachexia, survival and the acute phase response. Curr Opin Support Palliat Care. 2008 Dec;2(4):267-74. doi: 10.1097/SPC.0b013e3283186be2.
PMID: 19060563BACKGROUNDTan BH, Fladvad T, Braun TP, Vigano A, Strasser F, Deans DA, Skipworth RJ, Solheim TS, Damaraju S, Ross JA, Kaasa S, Marks DL, Baracos VE, Skorpen F, Fearon KC; European Palliative Care Research Collaborative. P-selectin genotype is associated with the development of cancer cachexia. EMBO Mol Med. 2012 Jun;4(6):462-71. doi: 10.1002/emmm.201200231. Epub 2012 Apr 4.
PMID: 22473907BACKGROUNDBrzeszczynska J, Johns N, Schilb A, Degen S, Degen M, Langen R, Schols A, Glass DJ, Roubenoff R, Greig CA, Jacobi C, Fearon KCh, Ross JA. Loss of oxidative defense and potential blockade of satellite cell maturation in the skeletal muscle of patients with cancer but not in the healthy elderly. Aging (Albany NY). 2016 Aug;8(8):1690-702. doi: 10.18632/aging.101006.
PMID: 27454226BACKGROUNDFearon KC. Cancer cachexia and fat-muscle physiology. N Engl J Med. 2011 Aug 11;365(6):565-7. doi: 10.1056/NEJMcibr1106880. No abstract available.
PMID: 21830971BACKGROUNDDas SK, Eder S, Schauer S, Diwoky C, Temmel H, Guertl B, Gorkiewicz G, Tamilarasan KP, Kumari P, Trauner M, Zimmermann R, Vesely P, Haemmerle G, Zechner R, Hoefler G. Adipose triglyceride lipase contributes to cancer-associated cachexia. Science. 2011 Jul 8;333(6039):233-8. doi: 10.1126/science.1198973. Epub 2011 Jun 16.
PMID: 21680814BACKGROUNDMracek T, Stephens NA, Gao D, Bao Y, Ross JA, Ryden M, Arner P, Trayhurn P, Fearon KC, Bing C. Enhanced ZAG production by subcutaneous adipose tissue is linked to weight loss in gastrointestinal cancer patients. Br J Cancer. 2011 Feb 1;104(3):441-7. doi: 10.1038/sj.bjc.6606083. Epub 2011 Jan 18.
PMID: 21245862BACKGROUNDSkipworth RJ, Husi H, Ross JA. How close are we to finding noninvasive markers for upper GI tract cancer? Future Oncol. 2011 Oct;7(10):1121-4. doi: 10.2217/fon.11.90. No abstract available.
PMID: 21992724BACKGROUNDHusi H, Barr JB, Skipworth RJ, Stephens NA, Greig CA, Wackerhage H, Barron R, Fearon KC, Ross JA. The Human Urinary Proteome Fingerprint Database UPdb. Int J Proteomics. 2013;2013:760208. doi: 10.1155/2013/760208. Epub 2013 Oct 9.
PMID: 24222850BACKGROUNDHusi H, Skipworth RJ, Cronshaw A, Stephens NA, Wackerhage H, Greig C, Fearon KC, Ross JA. Programmed cell death 6 interacting protein (PDCD6IP) and Rabenosyn-5 (ZFYVE20) are potential urinary biomarkers for upper gastrointestinal cancer. Proteomics Clin Appl. 2015 Jun;9(5-6):586-96. doi: 10.1002/prca.201400111. Epub 2015 May 8.
PMID: 25644331BACKGROUNDDeans DA, Tan BH, Wigmore SJ, Ross JA, de Beaux AC, Paterson-Brown S, Fearon KC. The influence of systemic inflammation, dietary intake and stage of disease on rate of weight loss in patients with gastro-oesophageal cancer. Br J Cancer. 2009 Jan 13;100(1):63-9. doi: 10.1038/sj.bjc.6604828.
PMID: 19127266BACKGROUNDDeans DA, Wigmore SJ, Gilmour H, Paterson-Brown S, Ross JA, Fearon KC. Elevated tumour interleukin-1beta is associated with systemic inflammation: A marker of reduced survival in gastro-oesophageal cancer. Br J Cancer. 2006 Dec 4;95(11):1568-75. doi: 10.1038/sj.bjc.6603446. Epub 2006 Nov 7.
PMID: 17088911BACKGROUNDDeans DA, Tan BH, Ross JA, Rose-Zerilli M, Wigmore SJ, Howell WM, Grimble RF, Fearon KC. Cancer cachexia is associated with the IL10 -1082 gene promoter polymorphism in patients with gastroesophageal malignancy. Am J Clin Nutr. 2009 Apr;89(4):1164-72. doi: 10.3945/ajcn.2008.27025. Epub 2009 Feb 25.
PMID: 19244371BACKGROUNDStewart GD, Skipworth RJ, Pennington CJ, Lowrie AG, Deans DA, Edwards DR, Habib FK, Riddick AC, Fearon KC, Ross JA. Variation in dermcidin expression in a range of primary human tumours and in hypoxic/oxidatively stressed human cell lines. Br J Cancer. 2008 Jul 8;99(1):126-32. doi: 10.1038/sj.bjc.6604458.
PMID: 18594538BACKGROUNDStephens NA, Skipworth RJ, Gallagher IJ, Greig CA, Guttridge DC, Ross JA, Fearon KC. Evaluating potential biomarkers of cachexia and survival in skeletal muscle of upper gastrointestinal cancer patients. J Cachexia Sarcopenia Muscle. 2015 Mar;6(1):53-61. doi: 10.1002/jcsm.12005. Epub 2015 Mar 31.
PMID: 26136412BACKGROUNDTan BH, Birdsell LA, Martin L, Baracos VE, Fearon KC. Sarcopenia in an overweight or obese patient is an adverse prognostic factor in pancreatic cancer. Clin Cancer Res. 2009 Nov 15;15(22):6973-9. doi: 10.1158/1078-0432.CCR-09-1525. Epub 2009 Nov 3.
PMID: 19887488BACKGROUNDSkipworth RJ, Stene GB, Dahele M, Hendry PO, Small AC, Blum D, Kaasa S, Trottenberg P, Radbruch L, Strasser F, Preston T, Fearon KC, Helbostad JL; European Palliative Care Research Collaborative (EPCRC). Patient-focused endpoints in advanced cancer: criterion-based validation of accelerometer-based activity monitoring. Clin Nutr. 2011 Dec;30(6):812-21. doi: 10.1016/j.clnu.2011.05.010. Epub 2011 Jul 5.
PMID: 21733604BACKGROUNDGrose D, Morrison DS, Devereux G, Jones R, Sharma D, Selby C, Docherty K, McIntosh D, Louden G, Nicolson M, McMillan DC, Milroy R; Scottish Lung Cancer Forum. Comorbidities in lung cancer: prevalence, severity and links with socioeconomic status and treatment. Postgrad Med J. 2014 Jun;90(1064):305-10. doi: 10.1136/postgradmedj-2013-132186. Epub 2014 Mar 27.
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PMID: 11356767BACKGROUNDFearon KC, Preston T. Body composition in cancer cachexia. Infusionstherapie. 1990 Apr;17 Suppl 3:63-6. doi: 10.1159/000222558. No abstract available.
PMID: 2169464BACKGROUNDAcharyya S, Butchbach ME, Sahenk Z, Wang H, Saji M, Carathers M, Ringel MD, Skipworth RJ, Fearon KC, Hollingsworth MA, Muscarella P, Burghes AH, Rafael-Fortney JA, Guttridge DC. Dystrophin glycoprotein complex dysfunction: a regulatory link between muscular dystrophy and cancer cachexia. Cancer Cell. 2005 Nov;8(5):421-32. doi: 10.1016/j.ccr.2005.10.004.
PMID: 16286249BACKGROUND
Biospecimen
Rectus Muscle Quadriceps Femoris Muscle Tumour Subcutaneous fat Intra-abdominal fat Blood Urine
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Michael I Ramage, MBChB
University of Edinburgh
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 30, 2017
First Posted
June 19, 2017
Study Start
November 26, 2015
Primary Completion
August 1, 2025
Study Completion
August 1, 2025
Last Updated
January 16, 2026
Record last verified: 2026-01
Data Sharing
- IPD Sharing
- Will share
Anonymised individual participant data (IPD), including phenotypic data but not including patient identifiable data will be shared with other researchers in collaboration with our research group. Interested parties may contact the lead researcher with data requests.