Abstract 2016: Metabolic and inflammatory crosstalk underlying cancer-related fatigue (CRF) in a mouse model of breast cancer (BC).

Abstract Cancer-related fatigue (CRF) is among the most prevalent and debilitating side effects of breast cancer and its treatment in women, severely reducing adherence to treatment and quality of life. However, standardized, preclinical metrics for CRF remain poorly defined, impeding the development of therapeutic interventions. We hypothesized that breast cancer-induced physical fatigue is due to metabolic dysregulation in skeletal muscle mitochondria. Using the syngeneic E0771 mouse model of breast cancer, we characterized physical fatigue, assessed cytokine profiles, and performed targeted metabolomic analyses of muscle. Tumor-bearing mice showed significantly reduced survival and fat mass although overall body weight and lean mass were stable. Physical performance declined after three weeks of tumor growth as shown by reduced grip strength, maximum speed and peak oxygen consumption. Metabolic cage activity of mice revealed reduced oxygen consumption, carbon dioxide production, respiratory exchange ratio, energy expenditure, and water intake, consistent with suppressed metabolic function. Metabolomic profiling of skeletal muscle revealed upregulation of pipecolate and pyridoxamine, metabolites linked to amino acid metabolism and oxidative stress signaling, while key mitochondrial and antioxidant metabolites including glutathione, riboflavin and isocitrate were suppressed. These alterations suggest mitochondrial dysfunction, redox imbalance, and impaired energy production as contributors to the physical fatigue phenotype. These changes were accompanied by reduced IL1β, IL-2, MIP-1α and increased IP-10 in the plasma implicating inflammation-driven metabolic reprogramming. Breast cancer induced coordinated inflammatory and metabolic changes in the skeletal muscle, disrupting mitochondrial pathways that contribute to physical fatigue. This study identifies distinct metabolic signatures associated with CRF and highlights mitochondrial pathways as promising targets for therapeutic intervention to improve the quality of life in breast cancer patients. Citation Format: Abigail A. Koomson, Susana C. Nakandakari, Andin Fosam, Rosalie M. Grijalva, Rachel J. Perry. Metabolic and inflammatory crosstalk underlying cancer-related fatigue (CRF) in a mouse model of breast cancer (BC) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 2016.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-2016
Primary Topic
Cardiovascular Health and Risk Factors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 2016: Metabolic and inflammatory crosstalk underlying cancer-related fatigue (CRF) in a mouse model of breast cancer (BC).

Andin Fosam, Rachel J. Perry, Abigail Ama Koomson, Susana Castelo Branco Ramos Nakandakari et al.
Cancer Research
Cardiovascular Health and Risk Factors
article

Abstract 2016: Metabolic and inflammatory crosstalk underlying cancer-related fatigue (CRF) in a mouse model of breast cancer (BC).

Andin Fosam, Rachel J. Perry, Abigail Ama Koomson, Susana Castelo Branco Ramos Nakandakari, Rosalie M. Grijalva
article en

Abstract

Abstract Cancer-related fatigue (CRF) is among the most prevalent and debilitating side effects of breast cancer and its treatment in women, severely reducing adherence to treatment and quality of life. However, standardized, preclinical metrics for CRF remain poorly defined, impeding the development of therapeutic interventions. We hypothesized that breast cancer-induced physical fatigue is due to metabolic dysregulation in skeletal muscle mitochondria. Using the syngeneic E0771 mouse model of breast cancer, we characterized physical fatigue, assessed cytokine profiles, and performed targeted metabolomic analyses of muscle. Tumor-bearing mice showed significantly reduced survival and fat mass although overall body weight and lean mass were stable. Physical performance declined after three weeks of tumor growth as shown by reduced grip strength, maximum speed and peak oxygen consumption. Metabolic cage activity of mice revealed reduced oxygen consumption, carbon dioxide production, respiratory exchange ratio, energy expenditure, and water intake, consistent with suppressed metabolic function. Metabolomic profiling of skeletal muscle revealed upregulation of pipecolate and pyridoxamine, metabolites linked to amino acid metabolism and oxidative stress signaling, while key mitochondrial and antioxidant metabolites including glutathione, riboflavin and isocitrate were suppressed. These alterations suggest mitochondrial dysfunction, redox imbalance, and impaired energy production as contributors to the physical fatigue phenotype. These changes were accompanied by reduced IL1β, IL-2, MIP-1α and increased IP-10 in the plasma implicating inflammation-driven metabolic reprogramming. Breast cancer induced coordinated inflammatory and metabolic changes in the skeletal muscle, disrupting mitochondrial pathways that contribute to physical fatigue. This study identifies distinct metabolic signatures associated with CRF and highlights mitochondrial pathways as promising targets for therapeutic intervention to improve the quality of life in breast cancer patients. Citation Format: Abigail A. Koomson, Susana C. Nakandakari, Andin Fosam, Rosalie M. Grijalva, Rachel J. Perry. Metabolic and inflammatory crosstalk underlying cancer-related fatigue (CRF) in a mouse model of breast cancer (BC) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 2016.

Cancer ResearchVol. 86(7_Supplement)
Yale University (US)
Good health and well-being
Openalex Percentile: Top 5%
Cardiovascular Health and Risk Factors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.