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231P investigation of bone mineral density, muscle strength and body composition in postmenopausal women with ER+ early breast cancer

231P investigation of bone mineral density, muscle strength and body composition in postmenopausal women with ER+ early breast cancer
231P investigation of bone mineral density, muscle strength and body composition in postmenopausal women with ER+ early breast cancer
Background: aromatase inhibitors (AIs) lead to accelerated bone loss, increasing the risk of osteoporosis. Women with obesity are at higher risk of breast cancer, but there is a lack of evidence on associations between body composition, muscle strength and bone mineral density (BMD) in these patients. This study aims to determine BMD at diagnosis in patients with AI-treated ER+ early breast cancer and to investigate associations between baseline BMD, body composition and hand grip strength (HGS).

Methods: postmenopausal women with ER+ early breast cancer were identified from the BeGIN cohort (REC:14/EE/1297). Clinical data and DEXA measurements of BMD were collected from patient electronic records. Baseline bioimpedance (BIA) derived body composition measurements were collected from the study database and HGS was extracted from case report forms. Descriptive statistical analysis techniques were performed using SPSS (version 29.0.2.0).

Results: out of 103 patients who met the study criteria only 59 (57%) had DEXA scans. 29 (49.2%) had osteopenia and 11 (18.6%) had osteoporosis. A positive correlation was found between mean total hip category and fat free mass index (FFMI) (n=59, U=122.5, p=<0.001) and lumbar spine BMD and fat mass index (FMI) (n=57, r=0.481, CI 95%=0.009-0.028, p=<0.001). No significant correlation was found between HGS and FFMI (r=0.073, CI 95%=-0.890-0.422, p=0.480) or between HGS and DEXA clinical diagnosis (n=57, r=0.006, p=0.965).

Conclusions: the majority of postmenopausal breast cancer patients have osteopenia or osteoporosis when starting AI; however, many patients do not appear to be aware of this at time of the study. No significant associations were found between muscle grip strength and measures of body composition, however there was a positive association between muscle mass by BIA and bone density by DEXA. These results will be used to inform future interventional studies for rehabilitation or exercise programmes for women with early breast cancer, specifically aiming to optimise bone health, particularly in patients with risk factors for osteoporosis.
2059-7029
Gillespie, E.
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Savva, C.
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Durkin, K.
f57c691d-6653-4e99-8cb2-d28f2cf324aa
Cheah, W.
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Williams, M.
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Wootton, S.
bf47ef35-0b33-4edb-a2b0-ceda5c475c0c
Cossins, C.
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Cutress, R.
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Copson, E.
a94cdbd6-f6e2-429d-a7c0-462c7da0e92b
Gillespie, E.
0ee07203-94d0-43b5-8d7f-d94496502fe5
Savva, C.
d6e87674-1443-41f4-84ba-81c1ccfeb3d7
Durkin, K.
f57c691d-6653-4e99-8cb2-d28f2cf324aa
Cheah, W.
102f9433-4a8e-4e16-8737-1fdc8f1f0afa
Williams, M.
28e7df66-f9d1-490c-a6c3-1c527bb58d3c
Wootton, S.
bf47ef35-0b33-4edb-a2b0-ceda5c475c0c
Cossins, C.
e0cd7390-718e-4b08-ad7e-0da5e905155b
Cutress, R.
68ae4f86-e8cf-411f-a335-cdba51797406
Copson, E.
a94cdbd6-f6e2-429d-a7c0-462c7da0e92b

Gillespie, E., Savva, C., Durkin, K., Cheah, W., Williams, M., Wootton, S., Cossins, C., Cutress, R. and Copson, E. (2025) 231P investigation of bone mineral density, muscle strength and body composition in postmenopausal women with ER+ early breast cancer. ESMO open, 10 (Suppl. 4), [104785]. (doi:10.1016/j.esmoop.2025.104785).

Record type: Meeting abstract

Abstract

Background: aromatase inhibitors (AIs) lead to accelerated bone loss, increasing the risk of osteoporosis. Women with obesity are at higher risk of breast cancer, but there is a lack of evidence on associations between body composition, muscle strength and bone mineral density (BMD) in these patients. This study aims to determine BMD at diagnosis in patients with AI-treated ER+ early breast cancer and to investigate associations between baseline BMD, body composition and hand grip strength (HGS).

Methods: postmenopausal women with ER+ early breast cancer were identified from the BeGIN cohort (REC:14/EE/1297). Clinical data and DEXA measurements of BMD were collected from patient electronic records. Baseline bioimpedance (BIA) derived body composition measurements were collected from the study database and HGS was extracted from case report forms. Descriptive statistical analysis techniques were performed using SPSS (version 29.0.2.0).

Results: out of 103 patients who met the study criteria only 59 (57%) had DEXA scans. 29 (49.2%) had osteopenia and 11 (18.6%) had osteoporosis. A positive correlation was found between mean total hip category and fat free mass index (FFMI) (n=59, U=122.5, p=<0.001) and lumbar spine BMD and fat mass index (FMI) (n=57, r=0.481, CI 95%=0.009-0.028, p=<0.001). No significant correlation was found between HGS and FFMI (r=0.073, CI 95%=-0.890-0.422, p=0.480) or between HGS and DEXA clinical diagnosis (n=57, r=0.006, p=0.965).

Conclusions: the majority of postmenopausal breast cancer patients have osteopenia or osteoporosis when starting AI; however, many patients do not appear to be aware of this at time of the study. No significant associations were found between muscle grip strength and measures of body composition, however there was a positive association between muscle mass by BIA and bone density by DEXA. These results will be used to inform future interventional studies for rehabilitation or exercise programmes for women with early breast cancer, specifically aiming to optimise bone health, particularly in patients with risk factors for osteoporosis.

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e-pub ahead of print date: 17 May 2025
Published date: 17 May 2025

Identifiers

Local EPrints ID: 502882
URI: http://eprints.soton.ac.uk/id/eprint/502882
ISSN: 2059-7029
PURE UUID: bed1b923-1614-4f68-8312-1d3ff4b424ab
ORCID for C. Savva: ORCID iD orcid.org/0000-0003-0805-4719
ORCID for W. Cheah: ORCID iD orcid.org/0000-0003-1170-6810

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Date deposited: 10 Jul 2025 17:23
Last modified: 11 Sep 2025 03:35

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Contributors

Author: E. Gillespie
Author: C. Savva ORCID iD
Author: K. Durkin
Author: W. Cheah ORCID iD
Author: M. Williams
Author: S. Wootton
Author: C. Cossins
Author: R. Cutress
Author: E. Copson

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