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Low lean mass and chemotherapy toxicity risk in the elderly: the Fraction study protocol

BACKGROUND: Half of cancer cases occur in patients aged 70 and above. Majority of older patients are eligible for chemotherapy but evidence for treating this population is sparse and severe toxicities affect more than half of them. Determining prognostic biomarkers able to predict poor chemotherapy...

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Autores principales: Steinmeyer, Zara, Gérard, Stéphane, Filleron, Thomas, Lozano, Stéphanie, Brechemier, Delphine, Abellan Van Kan, Gabor, Mourey, Loic, Cristol-Dalstein, Laurence, De Decker, Laure, Rolland, Yves, Balardy, Laurent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6882112/
https://www.ncbi.nlm.nih.gov/pubmed/31775667
http://dx.doi.org/10.1186/s12885-019-6377-7
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author Steinmeyer, Zara
Gérard, Stéphane
Filleron, Thomas
Lozano, Stéphanie
Brechemier, Delphine
Abellan Van Kan, Gabor
Mourey, Loic
Cristol-Dalstein, Laurence
De Decker, Laure
Rolland, Yves
Balardy, Laurent
author_facet Steinmeyer, Zara
Gérard, Stéphane
Filleron, Thomas
Lozano, Stéphanie
Brechemier, Delphine
Abellan Van Kan, Gabor
Mourey, Loic
Cristol-Dalstein, Laurence
De Decker, Laure
Rolland, Yves
Balardy, Laurent
author_sort Steinmeyer, Zara
collection PubMed
description BACKGROUND: Half of cancer cases occur in patients aged 70 and above. Majority of older patients are eligible for chemotherapy but evidence for treating this population is sparse and severe toxicities affect more than half of them. Determining prognostic biomarkers able to predict poor chemotherapy tolerance remains one of the major issues in geriatric oncology. Ageing is associated with body composition changes (increase of fat mass and loss of lean mass) independently of weight-loss. Previous studies suggest that body composition parameters (particularly muscle mass) may predict poor chemotherapy tolerance. However, studies specifically including older adults on this subject remain sparse and the majority of them study body composition based on computed tomography (CT) scanner (axial L3 section) muscle mass estimation. This method is to date not validated in elderly cancer patients. METHODS: This trial (Fraction) will evaluate the discriminative ability of appendicular lean mass measured by dual-energy X-ray absorptiometry (DXA) to predict severe toxicity incidence in older cancer-patients treated with first-line chemotherapy. DXA is considered the gold standard in body composition assessment in older adults. Patient’s aged ≥70 diagnosed with solid neoplasms or lymphomas at a locally advanced or metastatic stage treated for first-line chemotherapy were recruited. Patients completed a pre-chemotherapy assessment that recorded socio-demographics, tumor/treatment variables, laboratory test results, geriatric assessment variables (function, comorbidity, cognition, social support and nutritional status), oncological risk scores and body composition with DXA. Appendicular lean mass was standardized using evidence based international criteria. Participants underwent short follow-up geriatric assessments within the first 3 months, 6 months and a year after inclusion. Grade 3 to 5 chemotherapy-related toxicities, as defined by the National Cancer Institute Common Terminology Criteria for Adverse Events (NCI CTCAE) were assessed at each chemotherapy cycle. DISCUSSION: The finding that body composition is associated with poor tolerance of chemotherapy could lead to consider these parameters as well as improve current decision-making algorithms when treating older adults. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02806154 registered on October 2016.
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spelling pubmed-68821122019-12-03 Low lean mass and chemotherapy toxicity risk in the elderly: the Fraction study protocol Steinmeyer, Zara Gérard, Stéphane Filleron, Thomas Lozano, Stéphanie Brechemier, Delphine Abellan Van Kan, Gabor Mourey, Loic Cristol-Dalstein, Laurence De Decker, Laure Rolland, Yves Balardy, Laurent BMC Cancer Study Protocol BACKGROUND: Half of cancer cases occur in patients aged 70 and above. Majority of older patients are eligible for chemotherapy but evidence for treating this population is sparse and severe toxicities affect more than half of them. Determining prognostic biomarkers able to predict poor chemotherapy tolerance remains one of the major issues in geriatric oncology. Ageing is associated with body composition changes (increase of fat mass and loss of lean mass) independently of weight-loss. Previous studies suggest that body composition parameters (particularly muscle mass) may predict poor chemotherapy tolerance. However, studies specifically including older adults on this subject remain sparse and the majority of them study body composition based on computed tomography (CT) scanner (axial L3 section) muscle mass estimation. This method is to date not validated in elderly cancer patients. METHODS: This trial (Fraction) will evaluate the discriminative ability of appendicular lean mass measured by dual-energy X-ray absorptiometry (DXA) to predict severe toxicity incidence in older cancer-patients treated with first-line chemotherapy. DXA is considered the gold standard in body composition assessment in older adults. Patient’s aged ≥70 diagnosed with solid neoplasms or lymphomas at a locally advanced or metastatic stage treated for first-line chemotherapy were recruited. Patients completed a pre-chemotherapy assessment that recorded socio-demographics, tumor/treatment variables, laboratory test results, geriatric assessment variables (function, comorbidity, cognition, social support and nutritional status), oncological risk scores and body composition with DXA. Appendicular lean mass was standardized using evidence based international criteria. Participants underwent short follow-up geriatric assessments within the first 3 months, 6 months and a year after inclusion. Grade 3 to 5 chemotherapy-related toxicities, as defined by the National Cancer Institute Common Terminology Criteria for Adverse Events (NCI CTCAE) were assessed at each chemotherapy cycle. DISCUSSION: The finding that body composition is associated with poor tolerance of chemotherapy could lead to consider these parameters as well as improve current decision-making algorithms when treating older adults. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02806154 registered on October 2016. BioMed Central 2019-11-27 /pmc/articles/PMC6882112/ /pubmed/31775667 http://dx.doi.org/10.1186/s12885-019-6377-7 Text en © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Study Protocol
Steinmeyer, Zara
Gérard, Stéphane
Filleron, Thomas
Lozano, Stéphanie
Brechemier, Delphine
Abellan Van Kan, Gabor
Mourey, Loic
Cristol-Dalstein, Laurence
De Decker, Laure
Rolland, Yves
Balardy, Laurent
Low lean mass and chemotherapy toxicity risk in the elderly: the Fraction study protocol
title Low lean mass and chemotherapy toxicity risk in the elderly: the Fraction study protocol
title_full Low lean mass and chemotherapy toxicity risk in the elderly: the Fraction study protocol
title_fullStr Low lean mass and chemotherapy toxicity risk in the elderly: the Fraction study protocol
title_full_unstemmed Low lean mass and chemotherapy toxicity risk in the elderly: the Fraction study protocol
title_short Low lean mass and chemotherapy toxicity risk in the elderly: the Fraction study protocol
title_sort low lean mass and chemotherapy toxicity risk in the elderly: the fraction study protocol
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6882112/
https://www.ncbi.nlm.nih.gov/pubmed/31775667
http://dx.doi.org/10.1186/s12885-019-6377-7
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