Metabolite and lipoprotein responses and prediction of weight gain during breast cancer treatment

Madssen, Torfinn Støve; Thune, Inger; Flote, Vidar Gordon; Lundgren, Steinar; Bertheussen, Gro F.; Frydenberg, Hanne; Wist, Erik; Schlichting, Ellen; Schäfer, Hartmut; Fjøsne, Hans E.; Vettukattil, Riyas; Lømo, Jon; Bathen, Tone Frost; Giskeødegård, Guro F.

doi:10.1038/s41416-018-0211-x

Cited by 17 publications

(18 citation statements)

References 62 publications

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“…GSEA results showed that butanoate metabolism was highly enriched in high immune infiltration. The change of butanoate metabolism in breast cancer patients receiving chemotherapy [ 36 ]. Changes in metabolic pathways may affect the fate of immune cells to regulate immunity [ 37 ].…”

Section: Discussionmentioning

confidence: 99%

Recognition of Immune Microenvironment Landscape and Immune-Related Prognostic Genes in Breast Cancer

Wang

You

Fang

et al. 2020

BioMed Research International

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Background. Breast cancer (BC) is the most common malignant tumor in women. The immunophenotype of tumor microenvironment (TME) has shown great therapeutic potential in tumor. Method. The transcriptome was obtained from TCGA and GEO data. Immune infiltration was analyzed by single-sample gene set enrichment (ssGSEA). The immune feature was constructed by Cox regression analysis. In addition, the coexpression of differential expression genes (DEGs) was identified. Through enrichment analysis, the function and pathway of module genes were identified. The somatic mutations related to immune characteristics were analyzed by Maftools. By using the consistency clustering algorithm, the molecular subtypes were constructed, and the overall survival time (OS) was predicted. Results. Immune landscape can be divided into low immune infiltration and high immune infiltration. Cox regression analysis identified seven immune cells as protective factors of BC. In the coexpression modules for DEGs of high and low immune infiltration, module 1 was related to T cells and high immune infiltration. In particular, the area under the curve (AUC) value of hub gene SASH3 was the highest, and the correlation with T cells was stronger in the high immune infiltration. Enrichment analysis found that oxidative stress, T cell aggregation, and apoptosis were observed in high immune infiltration. In addition, TP53 was identified as the most important somatic gene mutation related to immune characteristics. Importantly, we also constructed seven immune cell-based breast cancer subtypes to predict OS. Conclusion. We evaluated the immune landscape of BC and constructed the gene characteristics related to the immune landscape. The potential of T cells and SASH3 in immunotherapy of BC was revealed, which may guide the development of new clinical treatment strategies.

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Section: Discussionmentioning

confidence: 99%

Recognition of Immune Microenvironment Landscape and Immune-Related Prognostic Genes in Breast Cancer

Wang

You

Fang

et al. 2020

BioMed Research International

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“…Different chemotherapy regimens have been shown to exert alterations in normal lipid metabolism possibly via mechanisms involving oxidative stress and inflammation [25], [26], [27]. Regarding the effects of anti-VEGF agents, Joerger (2010) described previously in a case report a breast cancer patient whose chemotherapy-induced hyperlipoproteinemia persisted until the cessation of monoclonal VEGF-inhibitor bevacizumab [28].…”

Section: Discussionmentioning

confidence: 99%

Two-Week Aflibercept or Erlotinib Administration Does Not Induce Changes in Intestinal Morphology in Male Sprague–Dawley Rats But Aflibercept Affects Serum and Urine Metabolic Profiles

Forsgård

Marrachelli

Lindén

et al. 2019

Translational Oncology

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Gastrointestinal toxicity is a frequently observed adverse event during cancer treatment with traditional chemotherapeutics. Currently, traditional chemotherapeutics are often combined with targeted biologic agents. These biologics, however, possess a distinct toxicity profile, and they may also exacerbate the adverse effects of traditional chemotherapeutics. In this study, we aimed to characterize the gastrointestinal and metabolic changes after a 2-week treatment period with aflibercept, an antiangiogenic VEGFR decoy, and with erlotinib, a tyrosine-kinase inhibitor. Male rats were treated either with aflibercept or erlotinib for 2 weeks. During the 2-week treatment period, the animals in the aflibercept group received two subcutaneous doses of 25 mg/kg aflibercept. The erlotinib group got 10 mg/kg of erlotinib by oral gavage every other day. The control groups were treated similarly but received either saline injections or oral gavage of water. Intestinal toxicity was assessed by measuring intestinal permeability and by histological analyses of intestinal tissues. Metabolic changes were measured with 1 H nuclear magnetic resonance in serum and urine. Neither aflibercept nor erlotinib induced changes in intestinal permeability or intestinal tissue morphology. However, aflibercept treatment resulted in stunted body weight gain and altered choline, amino acid, and lipid metabolism. Two-week treatment with aflibercept or erlotinib alone does not induce observable changes in gastrointestinal morphology and function. However, observed aflibercept-treatment related metabolic changes suggest alterations in intestinal microbiota, nutrient intake, and adipose tissue function. The metabolic changes are also interesting in respect to the systemic effects of aflibercept and their possible associations with adverse events caused by aflibercept administration.

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“…In particular, alterations of HDL, LDL, VLDL cholesterols and triglycerides were observed during and after treatments. These observations were hypothesized to be related to inflammation processes and lipids homeostasis [ 107 , 117 ].…”

Section: Nmr Metabolomics Of Blood Plasma/serummentioning

confidence: 99%

Precision Oncology via NMR-Based Metabolomics: A Review on Breast Cancer

Vignoli

Risi

McCartney

et al. 2021

IJMS

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Precision oncology is an emerging approach in cancer care. It aims at selecting the optimal therapy for the right patient by considering each patient’s unique disease and individual health status. In the last years, it has become evident that breast cancer is an extremely heterogeneous disease, and therefore, patients need to be appropriately stratified to maximize survival and quality of life. Gene-expression tools have already positively assisted clinical decision making by estimating the risk of recurrence and the potential benefit from adjuvant chemotherapy. However, these approaches need refinement to further reduce the proportion of patients potentially exposed to unnecessary chemotherapy. Nuclear magnetic resonance (NMR) metabolomics has demonstrated to be an optimal approach for cancer research and has provided significant results in BC, in particular for prognostic and stratification purposes. In this review, we give an update on the status of NMR-based metabolomic studies for the biochemical characterization and stratification of breast cancer patients using different biospecimens (breast tissue, blood serum/plasma, and urine).

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Metabolite and lipoprotein responses and prediction of weight gain during breast cancer treatment

Cited by 17 publications

References 62 publications

Recognition of Immune Microenvironment Landscape and Immune-Related Prognostic Genes in Breast Cancer

Recognition of Immune Microenvironment Landscape and Immune-Related Prognostic Genes in Breast Cancer

Two-Week Aflibercept or Erlotinib Administration Does Not Induce Changes in Intestinal Morphology in Male Sprague–Dawley Rats But Aflibercept Affects Serum and Urine Metabolic Profiles

Precision Oncology via NMR-Based Metabolomics: A Review on Breast Cancer

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