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Zheng X, Zhang S, Ma H, Dong Y, Zheng J, Zeng L, Liu J, Dai Y, Yin Q. Replenishment of TCA cycle intermediates and long-noncoding RNAs regulation in breast cancer. Mol Cell Endocrinol 2024; 592:112321. [PMID: 38936596 DOI: 10.1016/j.mce.2024.112321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Revised: 03/13/2024] [Accepted: 06/24/2024] [Indexed: 06/29/2024]
Abstract
The tricarboxylic acid (TCA) cycle is an essential interface that coordinates cellular metabolism and is as a primary route determining the fate of a variety of fuel sources, including glucose, fatty acid and glutamate. The crosstalk of nutrients replenished TCA cycle regulates breast cancer (BC) progression by changing substrate levels-induced epigenetic alterations, especially the methylation, acetylation, succinylation and lactylation. Long non-coding RNAs (lncRNA) have dual roles in inhibiting or promoting energy reprogramming, and so altering the metabolic flux of fuel sources to the TCA cycle, which may regulate epigenetic modifications at the cellular level of BC. This narrative review discussed the central role of the TCA cycle in interconnecting numerous fuels and the induced epigenetic modifications, and the underlying regulatory mechanisms of lncRNAs in BC.
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Affiliation(s)
- Xuewei Zheng
- Precision Medicine Laboratory, School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, China
| | - ShunShun Zhang
- Precision Medicine Laboratory, School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, China
| | - HaoDi Ma
- Precision Medicine Laboratory, School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, China
| | - Yirui Dong
- Precision Medicine Laboratory, School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, China
| | - Jiayu Zheng
- Precision Medicine Laboratory, School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, China
| | - Li Zeng
- Precision Medicine Laboratory, School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, China
| | - Jiangbo Liu
- Department of General Surgery, First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, Luoyang, China
| | - Yanzhenzi Dai
- Animal Science, School of Biosciences, University of Nottingham, UK.
| | - Qinan Yin
- Precision Medicine Laboratory, School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, China.
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2
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Taborda Ribas H, Sogayar MC, Dolga AM, Winnischofer SMB, Trombetta-Lima M. Lipid profile in breast cancer: From signaling pathways to treatment strategies. Biochimie 2024; 219:118-129. [PMID: 37993054 DOI: 10.1016/j.biochi.2023.11.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 11/02/2023] [Accepted: 11/16/2023] [Indexed: 11/24/2023]
Abstract
Breast cancer is the most prevalent cancer in women. Metabolic abnormalities, particularly increased lipid synthesis and uptake, impact the onset and progression of the disease. However, the influence of lipid metabolism in breast cancer varies according to the disease stage and patient's hormone status. In postmenopausal patients, obesity is associated with a higher risk and poor prognosis of luminal tumors, while in premenopausal individuals, it is correlated to BRCA mutated tumors. In fact, the tumor's lipid profile may be used to distinguish between HER2+, luminal and BRCA-mutated tumors. Moreover, drug resistance was associated with increased fatty acid synthesis and alterations in membrane composition, impacting its fluidity and spatial subdomains such as lipid rafts. Here, we discuss the subtype-specific lipid metabolism alterations found in breast cancer and the potentiality of its modulation in a clinical setting.
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Affiliation(s)
- Hennrique Taborda Ribas
- Faculty of Science and Engineering, Department of Molecular Pharmacology, Research Institute of Pharmacy (GRIP), University of Groningen, Groningen, Netherlands; Postgraduate Program in Biochemistry Sciences, Sector of Biological Sciences, Federal University of Paraná, Curitiba, Brazil
| | - Mari C Sogayar
- Cell and Molecular Therapy Center (NUCEL), Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil; Department of Biochemistry, Chemistry Institute, University of São Paulo, São Paulo, Brazil
| | - Amalia M Dolga
- Faculty of Science and Engineering, Department of Molecular Pharmacology, Research Institute of Pharmacy (GRIP), University of Groningen, Groningen, Netherlands
| | - Sheila M B Winnischofer
- Postgraduate Program in Biochemistry Sciences, Sector of Biological Sciences, Federal University of Paraná, Curitiba, Brazil; Biochemistry and Molecular Biology Department, Federal University of Paraná, Curitiba, Brazil; Postgraduate Program in Cellular and Molecular Biology, Biological Sciences Sector, UFPR, Curitiba, Brazil.
| | - Marina Trombetta-Lima
- Faculty of Science and Engineering, Department of Pharmaceutical Technology and Biopharmacy, Research Institute of Pharmacy (GRIP), University of Groningen, Groningen, Netherlands.
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Mehrotra S, Sharma S, Pandey RK. A journey from omics to clinicomics in solid cancers: Success stories and challenges. ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY 2024; 139:89-139. [PMID: 38448145 DOI: 10.1016/bs.apcsb.2023.11.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
Abstract
The word 'cancer' encompasses a heterogenous group of distinct disease types characterized by a spectrum of pathological features, genetic alterations and response to therapies. According to the World Health Organization, cancer is the second leading cause of death worldwide, responsible for one in six deaths and hence imposes a significant burden on global healthcare systems. High-throughput omics technologies combined with advanced imaging tools, have revolutionized our ability to interrogate the molecular landscape of tumors and has provided unprecedented understanding of the disease. Yet, there is a gap between basic research discoveries and their translation into clinically meaningful therapies for improving patient care. To bridge this gap, there is a need to analyse the vast amounts of high dimensional datasets from multi-omics platforms. The integration of multi-omics data with clinical information like patient history, histological examination and imaging has led to the novel concept of clinicomics and may expedite the bench-to-bedside transition in cancer. The journey from omics to clinicomics has gained momentum with development of radiomics which involves extracting quantitative features from medical imaging data with the help of deep learning and artificial intelligence (AI) tools. These features capture detailed information about the tumor's shape, texture, intensity, and spatial distribution. Together, the related fields of multiomics, translational bioinformatics, radiomics and clinicomics may provide evidence-based recommendations tailored to the individual cancer patient's molecular profile and clinical characteristics. In this chapter, we summarize multiomics studies in solid cancers with a specific focus on breast cancer. We also review machine learning and AI based algorithms and their use in cancer diagnosis, subtyping, prognosis and predicting treatment resistance and relapse.
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Wang Z, Zhang Y, Liao Z, Huang M, Shui X. The potential of aryl hydrocarbon receptor as receptors for metabolic changes in tumors. Front Oncol 2024; 14:1328606. [PMID: 38434684 PMCID: PMC10904539 DOI: 10.3389/fonc.2024.1328606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 01/29/2024] [Indexed: 03/05/2024] Open
Abstract
Cancer cells can alter their metabolism to meet energy and molecular requirements due to unfavorable environments with oxygen and nutritional deficiencies. Therefore, metabolic reprogramming is common in a tumor microenvironment (TME). Aryl hydrocarbon receptor (AhR) is a ligand-activated nuclear transcription factor, which can be activated by many exogenous and endogenous ligands. Multiple AhR ligands can be produced by both TME and tumor cells. By attaching to various ligands, AhR regulates cancer metabolic reprogramming by dysregulating various metabolic pathways, including glycolysis, lipid metabolism, and nucleotide metabolism. These regulated pathways greatly contribute to cancer cell growth, metastasis, and evading cancer therapies; however, the underlying mechanisms remain unclear. Herein, we review the relationship between TME and metabolism and describe the important role of AhR in cancer regulation. We also focus on recent findings to discuss the idea that AhR acts as a receptor for metabolic changes in tumors, which may provide new perspectives on the direction of AhR research in tumor metabolic reprogramming and future therapeutic interventions.
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Affiliation(s)
- Zhiying Wang
- Laboratory of Vascular Surgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China
| | - Yuanqi Zhang
- Department of Breast Surgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China
| | - Zhihong Liao
- Laboratory of Vascular Surgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China
| | - Mingzhang Huang
- Laboratory of Vascular Surgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China
| | - Xiaorong Shui
- Laboratory of Vascular Surgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China
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Gong S, Wang Q, Huang J, Huang R, Chen S, Cheng X, Liu L, Dai X, Zhong Y, Fan C, Liao Z. LC-MS/MS platform-based serum untargeted screening reveals the diagnostic biomarker panel and molecular mechanism of breast cancer. Methods 2024; 222:100-111. [PMID: 38228196 DOI: 10.1016/j.ymeth.2024.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 10/12/2023] [Accepted: 01/11/2024] [Indexed: 01/18/2024] Open
Abstract
BACKGROUND Breast cancer (BC), the most common form of malignant cancer affecting women worldwide, was characterized by heterogeneous metabolic disorder and lack of effective biomarkers for diagnosis. The purpose of this study is to search for reliable metabolite biomarkers of BC as well as triple-negative breast cancer (TNBC) using serum metabolomics approach. METHODS In this study, an untargeted metabolomics technique based on ultra-high performance liquid chromatography combined with mass spectrometry (UHPLC-MS) was utilized to investigate the differences in serum metabolic profile between the BC group (n = 53) and non-BC group (n = 57), as well as between TNBC patients (n = 23) and non-TNBC subjects (n = 30). The multivariate data analysis, determination of the fold change and the Mann-Whitney U test were used to screen out the differential metabolites. Additionally, machine learning methods including receiver operating curve analysis and logistic regression analysis were conducted to establish diagnostic biomarker panels. RESULTS There were 36 metabolites found to be significantly different between BC and non-BC groups, and 12 metabolites discovered to be significantly different between TNBC and non-TNBC patients. Results also showed that four metabolites, including N-acetyl-D-tryptophan, 2-arachidonoylglycerol, pipecolic acid and oxoglutaric acid, were considered as vital biomarkers for the diagnosis of BC and non-BC with an area under the curve (AUC) of 0.995. Another two-metabolite panel of N-acetyl-D-tryptophan and 2-arachidonoylglycerol was discovered to discriminate TNBC from non-TNBC and produced an AUC of 0.965. CONCLUSION This study demonstrated that serum metabolomics can be used to identify BC specifically and identified promising serum metabolic markers for TNBC diagnosis.
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Affiliation(s)
- Sisi Gong
- Clinical Lab and Medical Diagnostics Laboratory, Donghai Hospital District, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, PR China
| | - Qingshui Wang
- College of Life Sciences, Fujian Normal University, Fuzhou, PR China
| | - Jiewei Huang
- The Graduate School of Fujian Medical University, Fuzhou, PR China
| | - Rongfu Huang
- Clinical Lab and Medical Diagnostics Laboratory, Donghai Hospital District, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, PR China
| | - Shanshan Chen
- Clinical Lab and Medical Diagnostics Laboratory, Donghai Hospital District, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, PR China
| | - Xiaojuan Cheng
- Clinical Lab and Medical Diagnostics Laboratory, Donghai Hospital District, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, PR China
| | - Lei Liu
- Clinical Lab and Medical Diagnostics Laboratory, Donghai Hospital District, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, PR China
| | - Xiaofang Dai
- Clinical Lab and Medical Diagnostics Laboratory, Donghai Hospital District, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, PR China
| | - Yameng Zhong
- Clinical Lab and Medical Diagnostics Laboratory, Donghai Hospital District, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, PR China
| | - Chunmei Fan
- Clinical Lab and Medical Diagnostics Laboratory, Donghai Hospital District, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, PR China.
| | - Zhijun Liao
- Clinical Lab and Medical Diagnostics Laboratory, Donghai Hospital District, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, PR China; Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, PR China.
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Arenas M, Fargas-Saladié M, Moreno-Solé M, Moyano-Femenia L, Jiménez-Franco A, Canela-Capdevila M, Castañé H, Martínez-Navidad C, Camps J, Joven J. Metabolomics and triple-negative breast cancer: A systematic review. Heliyon 2024; 10:e23628. [PMID: 38187259 PMCID: PMC10770474 DOI: 10.1016/j.heliyon.2023.e23628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 12/08/2023] [Indexed: 01/09/2024] Open
Abstract
Triple-negative breast cancer stands out as the most aggressive subtype of breast malignancy and is characterized by an unfavourable prognosis. Objective: This systematic review summarizes the insights gleaned from metabolomic analyses of individuals afflicted with this cancer variant. The overarching goal was to delineate the molecular alterations associated with triple-negative breast cancer, pinpointing potential therapeutic targets and novel biomarkers. Methods: We systematically searched for evidence using the PubMed database and followed the PRISMA and STARLITE guidelines. The search parameters were delimited to articles published within the last 13 years. Results: From an initial pool of 148 scrutinized articles, 17 studies involving 1686 participants were deemed eligible for inclusion. The current body of research shows a paucity of studies, and the available evidence presents conflicting outcomes. Notwithstanding, Pathway Enrichment Analysis identified the urea and glucose-alanine cycles as the most affected metabolic pathways, followed by arginine, proline, and aspartate metabolism. Conclusion: Future investigations need to focus on elucidating which of those metabolites and/or pathways might be reliable candidates for novel therapeutic interventions or reliable biomarkers for diagnosis and prognosis of this subtype of breast cancer.
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Affiliation(s)
- Meritxell Arenas
- Department of Radiation Oncology, Hospital Universitari Sant Joan de Reus, Institut D'Investigació Sanitària Pere Virgili, Universitat Rovira I Virgili, Reus, Spain
- Unitat de Recerca Biomèdica, Hospital Universitari Sant Joan de Reus, Institut D'Investigació Sanitària Pere Virgili, Universitat Rovira I Virgili, Reus, Spain
| | - Maria Fargas-Saladié
- Department of Radiation Oncology, Hospital Universitari Sant Joan de Reus, Institut D'Investigació Sanitària Pere Virgili, Universitat Rovira I Virgili, Reus, Spain
| | - Marta Moreno-Solé
- Department of Radiation Oncology, Hospital Universitari Sant Joan de Reus, Institut D'Investigació Sanitària Pere Virgili, Universitat Rovira I Virgili, Reus, Spain
| | - Lucía Moyano-Femenia
- Department of Radiation Oncology, Hospital Universitari Sant Joan de Reus, Institut D'Investigació Sanitària Pere Virgili, Universitat Rovira I Virgili, Reus, Spain
| | - Andrea Jiménez-Franco
- Unitat de Recerca Biomèdica, Hospital Universitari Sant Joan de Reus, Institut D'Investigació Sanitària Pere Virgili, Universitat Rovira I Virgili, Reus, Spain
| | - Marta Canela-Capdevila
- Department of Radiation Oncology, Hospital Universitari Sant Joan de Reus, Institut D'Investigació Sanitària Pere Virgili, Universitat Rovira I Virgili, Reus, Spain
- Unitat de Recerca Biomèdica, Hospital Universitari Sant Joan de Reus, Institut D'Investigació Sanitària Pere Virgili, Universitat Rovira I Virgili, Reus, Spain
| | - Helena Castañé
- Unitat de Recerca Biomèdica, Hospital Universitari Sant Joan de Reus, Institut D'Investigació Sanitària Pere Virgili, Universitat Rovira I Virgili, Reus, Spain
| | - Cristian Martínez-Navidad
- Unitat de Recerca Biomèdica, Hospital Universitari Sant Joan de Reus, Institut D'Investigació Sanitària Pere Virgili, Universitat Rovira I Virgili, Reus, Spain
| | - Jordi Camps
- Unitat de Recerca Biomèdica, Hospital Universitari Sant Joan de Reus, Institut D'Investigació Sanitària Pere Virgili, Universitat Rovira I Virgili, Reus, Spain
| | - Jorge Joven
- Unitat de Recerca Biomèdica, Hospital Universitari Sant Joan de Reus, Institut D'Investigació Sanitària Pere Virgili, Universitat Rovira I Virgili, Reus, Spain
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Bel’skaya LV, Gundyrev IA, Solomatin DV. The Role of Amino Acids in the Diagnosis, Risk Assessment, and Treatment of Breast Cancer: A Review. Curr Issues Mol Biol 2023; 45:7513-7537. [PMID: 37754258 PMCID: PMC10527988 DOI: 10.3390/cimb45090474] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 09/05/2023] [Accepted: 09/12/2023] [Indexed: 09/28/2023] Open
Abstract
This review summarizes the role of amino acids in the diagnosis, risk assessment, imaging, and treatment of breast cancer. It was shown that the content of individual amino acids changes in breast cancer by an average of 10-15% compared with healthy controls. For some amino acids (Thr, Arg, Met, and Ser), an increase in concentration is more often observed in breast cancer, and for others, a decrease is observed (Asp, Pro, Trp, and His). The accuracy of diagnostics using individual amino acids is low and increases when a number of amino acids are combined with each other or with other metabolites. Gln/Glu, Asp, Arg, Leu/Ile, Lys, and Orn have the greatest significance in assessing the risk of breast cancer. The variability in the amino acid composition of biological fluids was shown to depend on the breast cancer phenotype, as well as the age, race, and menopausal status of patients. In general, the analysis of changes in the amino acid metabolism in breast cancer is a promising strategy not only for diagnosis, but also for developing new therapeutic agents, monitoring the treatment process, correcting complications after treatment, and evaluating survival rates.
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Affiliation(s)
- Lyudmila V. Bel’skaya
- Biochemistry Research Laboratory, Omsk State Pedagogical University, 644099 Omsk, Russia;
| | - Ivan A. Gundyrev
- Biochemistry Research Laboratory, Omsk State Pedagogical University, 644099 Omsk, Russia;
| | - Denis V. Solomatin
- Department of Mathematics and Mathematics Teaching Methods, Omsk State Pedagogical University, 644043 Omsk, Russia;
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Santaliz-Casiano A, Mehta D, Danciu OC, Patel H, Banks L, Zaidi A, Buckley J, Rauscher GH, Schulte L, Weller LR, Taiym D, Liko-Hazizi E, Pulliam N, Friedewald SM, Khan S, Kim JJ, Gradishar W, Hegerty S, Frasor J, Hoskins KF, Madak-Erdogan Z. Identification of metabolic pathways contributing to ER + breast cancer disparities using a machine-learning pipeline. Sci Rep 2023; 13:12136. [PMID: 37495653 PMCID: PMC10372029 DOI: 10.1038/s41598-023-39215-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 07/21/2023] [Indexed: 07/28/2023] Open
Abstract
African American (AA) women in the United States have a 40% higher breast cancer mortality rate than Non-Hispanic White (NHW) women. The survival disparity is particularly striking among (estrogen receptor positive) ER+ breast cancer cases. The purpose of this study is to examine whether there are racial differences in metabolic pathways typically activated in patients with ER+ breast cancer. We collected pretreatment plasma from AA and NHW ER+ breast cancer cases (AA n = 48, NHW n = 54) and cancer-free controls (AA n = 100, NHW n = 48) to conduct an untargeted metabolomics analysis using gas chromatography mass spectrometry (GC-MS) to identify metabolites that may be altered in the different racial groups. Unpaired t-test combined with multiple feature selection and prediction models were employed to identify race-specific altered metabolic signatures. This was followed by the identification of altered metabolic pathways with a focus in AA patients with breast cancer. The clinical relevance of the identified pathways was further examined in PanCancer Atlas breast cancer data set from The Cancer Genome Atlas Program (TCGA). We identified differential metabolic signatures between NHW and AA patients. In AA patients, we observed decreased circulating levels of amino acids compared to healthy controls, while fatty acids were significantly higher in NHW patients. By mapping these metabolites to potential epigenetic regulatory mechanisms, this study identified significant associations with regulators of metabolism such as methionine adenosyltransferase 1A (MAT1A), DNA Methyltransferases and Histone methyltransferases for AA individuals, and Fatty acid Synthase (FASN) and Monoacylglycerol lipase (MGL) for NHW individuals. Specific gene Negative Elongation Factor Complex E (NELFE) with histone methyltransferase activity, was associated with poor survival exclusively for AA individuals. We employed a comprehensive and novel approach that integrates multiple machine learning and statistical methods, coupled with human functional pathway analyses. The metabolic profile of plasma samples identified may help elucidate underlying molecular drivers of disproportionately aggressive ER+ tumor biology in AA women. It may ultimately lead to the identification of novel therapeutic targets. To our knowledge, this is a novel finding that describes a link between metabolic alterations and epigenetic regulation in AA breast cancer and underscores the need for detailed investigations into the biological underpinnings of breast cancer health disparities.
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Affiliation(s)
| | - Dhruv Mehta
- Food Science and Human Nutrition Department, University of Illinois, Urbana-Champaign, Urbana, IL, USA
| | - Oana C Danciu
- Division of Hematology/Oncology, University of Illinois at Chicago, Chicago, IL, USA
| | - Hariyali Patel
- Division of Hematology/Oncology, University of Illinois at Chicago, Chicago, IL, USA
| | - Landan Banks
- Division of Hematology/Oncology, University of Illinois at Chicago, Chicago, IL, USA
| | - Ayesha Zaidi
- Division of Hematology/Oncology, University of Illinois at Chicago, Chicago, IL, USA
| | - Jermya Buckley
- Division of Hematology/Oncology, University of Illinois at Chicago, Chicago, IL, USA
| | - Garth H Rauscher
- School of Public Health, University of Illinois at Chicago, Chicago, IL, USA
| | - Lauren Schulte
- Robert H. Lurie Cancer Center of Northwestern University, Chicago, IL, USA
| | - Lauren Ro Weller
- Robert H. Lurie Cancer Center of Northwestern University, Chicago, IL, USA
| | - Deanna Taiym
- Robert H. Lurie Cancer Center of Northwestern University, Chicago, IL, USA
| | | | - Natalie Pulliam
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | - Seema Khan
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - J Julie Kim
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - William Gradishar
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | - Jonna Frasor
- Department Physiology and Biophysics, University of Illinois at Chicago, Chicago, IL, USA
| | - Kent F Hoskins
- Division of Hematology/Oncology, University of Illinois at Chicago, Chicago, IL, USA
| | - Zeynep Madak-Erdogan
- Division of Nutritional Sciences, University of Illinois, Urbana-Champaign, Urbana, IL, USA.
- Food Science and Human Nutrition Department, University of Illinois, Urbana-Champaign, Urbana, IL, USA.
- Department of Biomedical and Translational Sciences, Carle Illinois College of Medicine, Urbana, IL, USA.
- Carl R. Woese Institute for Genomic Biology, University of Illinois, Urbana-Champaign, Urbana, IL, USA.
- Cancer Center at Illinois, 1201 W Gregory Dr, Urbana, IL, 61801, USA.
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Zipinotti Dos Santos D, de Souza JC, Pimenta TM, da Silva Martins B, Junior RSR, Butzene SMS, Tessarolo NG, Cilas PML, Silva IV, Rangel LBA. The impact of lipid metabolism on breast cancer: a review about its role in tumorigenesis and immune escape. Cell Commun Signal 2023; 21:161. [PMID: 37370164 PMCID: PMC10304265 DOI: 10.1186/s12964-023-01178-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 05/26/2023] [Indexed: 06/29/2023] Open
Abstract
BACKGROUND Breast cancer (BC) is the second most frequent type of cancer in the world and most common among women, configuring a major challenge to global health. BC is a complex and heterogeneous disease that can be subdivided into distinct tumor types based on the expression of molecular markers predicting patient outcomes and response to therapy. A growing number of studies have tried to expand the known markers by investigating the association of altered lipid metabolism with BC immune escape, progression, and metastasis. In this review, we describe the metabolic peculiarities of each BC subtype, understanding how this influences its aggressiveness and identifying whether these intrinsic vulnerabilities of each subtype can play a role in therapeutic management and may affect immune system cells in the tumor microenvironment. CONCLUSION The evidence suggests so far that when changes occur in lipid pathways, it can affect the availability of structural lipids for membrane synthesis, lipid synthesis, and degradation that contribute to energy homeostasis and cell signaling functions. These findings will guide the next steps on the path to understanding the mechanisms underlying how lipids alterations are related to disparities in chemotherapeutic response and immune escape in BC. Video Abstract.
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Affiliation(s)
- Diandra Zipinotti Dos Santos
- Biotechnology Program/RENORBIO, Health Sciences Center, Federal University of Espírito Santo, Vitoria (Espírito Santo), Brazil.
| | - Josiany Carlos de Souza
- Biotechnology Program/RENORBIO, Health Sciences Center, Federal University of Espírito Santo, Vitoria (Espírito Santo), Brazil
| | - Tatiana Massariol Pimenta
- Department of Pharmaceutical Sciences, Federal University of Espirito Santo, Marechal Campos Avenue, MaruípeEspírito Santo, Vitória, 1468, Brazil
| | - Bárbara da Silva Martins
- Department of Pharmaceutical Sciences, Federal University of Espirito Santo, Marechal Campos Avenue, MaruípeEspírito Santo, Vitória, 1468, Brazil
| | - Roberto Silva Ribeiro Junior
- Department of Pharmaceutical Sciences, Federal University of Espirito Santo, Marechal Campos Avenue, MaruípeEspírito Santo, Vitória, 1468, Brazil
| | - Solenny Maria Silva Butzene
- Department of Pharmaceutical Sciences, Federal University of Espirito Santo, Marechal Campos Avenue, MaruípeEspírito Santo, Vitória, 1468, Brazil
| | - Nayara Gusmão Tessarolo
- Viral Vector Laboratory, Center for Translational Investigation in Oncology, Cancer Institute of São Paulo/LIM24, University of São Paulo School of Medicine, São Paulo, (São Paulo), Brazil
| | | | - Ian Victor Silva
- Department of Morphology, Health Sciences Center, Federal University of Espirito Santo, Vitoria, Espirito Santo, Brazil
| | - Leticia B A Rangel
- Biotechnology Program/RENORBIO, Health Sciences Center, Federal University of Espírito Santo, Vitoria (Espírito Santo), Brazil.
- Department of Pharmaceutical Sciences, Federal University of Espirito Santo, Marechal Campos Avenue, MaruípeEspírito Santo, Vitória, 1468, Brazil.
- Biochemistry Program, Health Sciences Center, Federal University of Espirito Santo, Vitoria, Brazil.
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10
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Li Y, Han X, Lin Z, Wang C, Fu Z, Sun Q, Li C. G6PD activation in TNBC cells induces macrophage recruitment and M2 polarization to promote tumor progression. Cell Mol Life Sci 2023; 80:165. [PMID: 37237244 PMCID: PMC11073185 DOI: 10.1007/s00018-023-04810-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 04/28/2023] [Accepted: 05/16/2023] [Indexed: 05/28/2023]
Abstract
Glucose-6-phosphate dehydrogenase (G6PD) is involved in triple-negative breast cancer (TNBC) progression. Metabolic crosstalk between cancer cells and tumor-associated macrophages mediates tumor progression in TNBC. Molecular biological methods were applied to clarify the mechanism of the crosstalk between TNBC cells and M2 macrophages. In the present study, we verified that G6PD overexpression drives M2 macrophage polarization by directly combining with phospho-STAT1 and upregulating CCL2 and TGF-β1 secretion in TNBC cells. In turn, M2-like TAMs activated TNBC cells through IL-10 secretion, providing feedback to upregulate G6PD and promote TNBC cell migration and proliferation in vitro. Furthermore, we found that 6-AN (a specific inhibitor of G6PD) not only suppressed the cancer-driven polarization of macrophages toward the M2 phenotype but also inhibited the inherent M2 polarization of macrophages. Targeting the G6PD-regulated pentose phosphate pathway restrained TNBC progression and M2-type polarization of macrophages in vitro and in vivo.
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Affiliation(s)
- Yin Li
- State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Nankai University, No.38 Tongyan Road, Jinnan District, Tianjin, 300350, People's Republic of China
| | - Xiao Han
- State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Nankai University, No.38 Tongyan Road, Jinnan District, Tianjin, 300350, People's Republic of China
| | - Zhoujun Lin
- State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Nankai University, No.38 Tongyan Road, Jinnan District, Tianjin, 300350, People's Republic of China
| | - Changjun Wang
- Department of Breast Surgery, Peking Union Medical College Hospital, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
| | - Zhenkun Fu
- Department of Immunology, Wu Lien-Teh Institute, Heilongjiang Provincial Key Laboratory for Infection and Immunity, Harbin Medical University & Heilongjiang Academy of Medical Science, No.157 Baojian Street, Nangang District, Harbin, 150086, People's Republic of China.
| | - Qiang Sun
- Department of Breast Surgery, Peking Union Medical College Hospital, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
| | - Chenggang Li
- State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Nankai University, No.38 Tongyan Road, Jinnan District, Tianjin, 300350, People's Republic of China.
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11
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Cheng LL. High-resolution magic angle spinning NMR for intact biological specimen analysis: Initial discovery, recent developments, and future directions. NMR IN BIOMEDICINE 2023; 36:e4684. [PMID: 34962004 DOI: 10.1002/nbm.4684] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 12/15/2021] [Accepted: 12/20/2021] [Indexed: 06/14/2023]
Abstract
High-resolution magic angle spinning (HRMAS) NMR, an approach for intact biological material analysis discovered more than 25 years ago, has been advanced by many technical developments and applied to many biomedical uses. This article provides a history of its discovery, first by explaining the key scientific advances that paved the way for HRMAS NMR's invention, and then by turning to recent developments that have profited from applying and advancing the technique during the last 5 years. Developments aimed at directly impacting healthcare include HRMAS NMR metabolomics applications within studies of human disease states such as cancers, brain diseases, metabolic diseases, transplantation medicine, and adiposity. Here, the discussion describes recent HRMAS NMR metabolomics studies of breast cancer and prostate cancer, as well as of matching tissues with biofluids, multimodality studies, and mechanistic investigations, all conducted to better understand disease metabolic characteristics for diagnosis, opportune windows for treatment, and prognostication. In addition, HRMAS NMR metabolomics studies of plants, foods, and cell structures, along with longitudinal cell studies, are reviewed and discussed. Finally, inspired by the technique's history of discoveries and recent successes, future biomedical arenas that stand to benefit from HRMAS NMR-initiated scientific investigations are presented.
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Affiliation(s)
- Leo L Cheng
- Departments of Radiology and Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
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12
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Vignoli A, Meoni G, Ghini V, Di Cesare F, Tenori L, Luchinat C, Turano P. NMR-Based Metabolomics to Evaluate Individual Response to Treatments. Handb Exp Pharmacol 2023; 277:209-245. [PMID: 36318327 DOI: 10.1007/164_2022_618] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
The aim of this chapter is to highlight the various aspects of metabolomics in relation to health and diseases, starting from the definition of metabolic space and of how individuals tend to maintain their own position in this space. Physio-pathological stimuli may cause individuals to lose their position and then regain it, or move irreversibly to other positions. By way of examples, mostly selected from our own work using 1H NMR on biological fluids, we describe the effects on the individual metabolomic fingerprint of mild external interventions, such as diet or probiotic administration. Then we move to pathologies (such as celiac disease, various types of cancer, viral infections, and other diseases), each characterized by a well-defined metabolomic fingerprint. We describe the effects of drugs on the disease fingerprint and on its reversal to a healthy metabolomic status. Drug toxicity can be also monitored by metabolomics. We also show how the individual metabolomic fingerprint at the onset of a disease may discriminate responders from non-responders to a given drug, or how it may be prognostic of e.g., cancer recurrence after many years. In parallel with fingerprinting, profiling (i.e., the identification and quantification of many metabolites and, in the case of selected biofluids, of the lipoprotein components that contribute to the 1H NMR spectral features) can provide hints on the metabolic pathways that are altered by a disease and assess their restoration after treatment.
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Affiliation(s)
- Alessia Vignoli
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy.,Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Italy
| | - Gaia Meoni
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy.,Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Italy
| | - Veronica Ghini
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy.,Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Italy
| | - Francesca Di Cesare
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy.,Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Italy
| | - Leonardo Tenori
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy.,Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Italy.,Consorzio Interuniversitario Risonanze Magnetiche MetalloProteine (CIRMMP), Sesto Fiorentino, Italy
| | - Claudio Luchinat
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy.,Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Italy.,Consorzio Interuniversitario Risonanze Magnetiche MetalloProteine (CIRMMP), Sesto Fiorentino, Italy
| | - Paola Turano
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy. .,Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Italy. .,Consorzio Interuniversitario Risonanze Magnetiche MetalloProteine (CIRMMP), Sesto Fiorentino, Italy.
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13
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African American Women with Cardiometabolic Complications of Pregnancy Have Decreased Serum Abundance of Specialized Pro-Resolving Lipid Mediators and Endocannabinoids. Nutrients 2022; 15:nu15010140. [PMID: 36615797 PMCID: PMC9823622 DOI: 10.3390/nu15010140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 12/19/2022] [Accepted: 12/20/2022] [Indexed: 12/29/2022] Open
Abstract
African American (AA) women experience higher rates of maternal morbidity and mortality compared to US women of other racial/ ethnic groups. Cardiometabolic complications of pregnancy (including gestational diabetes, gestational hypertension, and preeclampsia) are leading contributors to maternal morbidity and mortality. Marked changes in circulating lipids are known to accompany cardiometabolic complications of pregnancy. Serum concentrations of docosahexaenoic acid (DHA) have been shown to be inversely correlated with risk for preeclampsia. DHA is a biosynthetic precursor of a class of specialized pro-resolving mediators (SPMs), resolvins, that have anti-inflammatory properties and are also associated with hypertensive disorders of pregnancy. We employed targeted lipidomics to characterize the distribution of DHA-containing phospholipids and SPMs in maternal serum collected in early and late pregnancy (8-14 weeks and 24-30 weeks gestation, respectively) to identify key lipids that are dysregulated during pregnancy in AA women who develop cardiometabolic complications. We identified a lipid signature in early pregnancy serum samples of AA women that is predictive of cardiometabolic complications of pregnancy with 74% accuracy. These are Resolvin D1, Resolvin E1, 2-AG, PGE2-glyerol ester, and 36:6 PC. These findings suggest that there are blood-based markers detectable in early pregnancy that can potentially identify persons at risk and tailor clinical interventions.
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14
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Pereira IC, Mascarenhas IF, Capetini VC, Ferreira PMP, Rogero MM, Torres-Leal FL. Cellular reprogramming, chemoresistance, and dietary interventions in breast cancer. Crit Rev Oncol Hematol 2022; 179:103796. [PMID: 36049616 DOI: 10.1016/j.critrevonc.2022.103796] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 07/16/2022] [Accepted: 08/21/2022] [Indexed: 10/31/2022] Open
Abstract
Breast cancer (BC) diagnosis has been associated with significant risk factors, including family history, late menopause, obesity, poor eating habits, and alcoholism. Despite the advances in the last decades regarding cancer treatment, some obstacles still hinder the effectiveness of therapy. For example, chemotherapy resistance is common in locally advanced or metastatic cancer, reducing treatment options and contributing to mortality. In this review, we provide an overview of BC metabolic changes, including the impact of restrictive diets associated with chemoresistance, the therapeutic potential of the diet on tumor progression, pathways related to metabolic health in oncology, and perspectives on the future in the area of oncological nutrition.
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Affiliation(s)
- Irislene Costa Pereira
- Department of Biophysics and Physiology, Center for Health Sciences, Federal University of Piauí, Teresina, Piauí, Brazil; Metabolic Diseases, Exercise and Nutrition Research Group (DOMEN), Center for Health Sciences, Federal University of Piauí, Teresina, Piauí, Brazil
| | - Isabele Frazão Mascarenhas
- Department of Biophysics and Physiology, Center for Health Sciences, Federal University of Piauí, Teresina, Piauí, Brazil
| | | | - Paulo Michel Pinheiro Ferreira
- Department of Biophysics and Physiology, Center for Health Sciences, Federal University of Piauí, Teresina, Piauí, Brazil
| | - Marcelo Macedo Rogero
- Department of Nutrition, School of Public Health, University of São Paulo, Sao Paulo, Brazil
| | - Francisco Leonardo Torres-Leal
- Department of Biophysics and Physiology, Center for Health Sciences, Federal University of Piauí, Teresina, Piauí, Brazil; Metabolic Diseases, Exercise and Nutrition Research Group (DOMEN), Center for Health Sciences, Federal University of Piauí, Teresina, Piauí, Brazil.
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15
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Characterization of the Metabolome of Breast Tissues from Non-Hispanic Black and Non-Hispanic White Women Reveals Correlations between Microbial Dysbiosis and Enhanced Lipid Metabolism Pathways in Triple-Negative Breast Tumors. Cancers (Basel) 2022; 14:cancers14174075. [PMID: 36077608 PMCID: PMC9454857 DOI: 10.3390/cancers14174075] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 08/18/2022] [Accepted: 08/19/2022] [Indexed: 12/02/2022] Open
Abstract
Simple Summary We previously showed that breast tumor tissues from women display an imbalance in abundance and composition of microbiota compared to normal healthy breast tissues. It is unknown whether these differences in breast tumor microbiota may be driven by alterations in microbial metabolites, leading to potentially protective or pathogenic consequences. The aim of our study was to conduct global metabolic profiling on normal and breast tumor tissues to identify differences in metabolite profiles and to determine whether breast microbial dysbiosis may be associated with enrichment of microbial metabolites in triple-negative breast cancer (TNBC) which disproportionately affects women of African ancestry. We observed significant correlations between elevated lipid metabolism pathways and microbial dysbiosis in TNBC tissues from both non-Hispanic black and white women. This is the first study to report an association between breast microbial dysbiosis and alterations in host metabolic pathways in breast tumors, including TNBC, of non-Hispanic black and non-Hispanic white women. Abstract Triple-negative breast cancer (TNBC) is an aggressive form of breast cancer that is non-responsive to hormonal therapies and disproportionately impact women of African ancestry. We previously showed that TN breast tumors have a distinct microbial signature that differs from less aggressive breast tumor subtypes and normal breast tissues. However, it is unknown whether these differences in breast tumor microbiota may be driven by alterations in microbial metabolites, leading to potentially protective or pathogenic consequences. The goal of this global metabolomic profiling study was to investigate alterations in microbial metabolism pathways in normal and breast tumor tissues, including TNBC, of non-Hispanic black (NHB) and non-Hispanic white (NHW) women. In this study, we profiled the microbiome (16S rRNA) from breast tumor tissues and analyzed 984 metabolites from a total of 51 NHB and NHW women. Breast tumor tissues were collected from 15 patients with TNBC, 12 patients with less aggressive luminal A-type (Luminal) breast cancer, and 24 healthy controls for comparison using UHPLC-tandem mass spectrometry. Principal component analysis and hierarchical clustering of the global metabolomic profiling data revealed separation between metabolic signatures of normal and breast tumor tissues. Random forest analysis revealed a unique biochemical signature associated with elevated lipid metabolites and lower levels of microbial-derived metabolites important in controlling inflammation and immune responses in breast tumor tissues. Significant relationships between the breast microbiome and the metabolome, particularly lipid metabolism, were observed in TNBC tissues. Further investigations to determine whether alterations in sphingolipid, phospholipid, ceramide, amino acid, and energy metabolism pathways modulate Fusobacterium and Tenericutes abundance and composition to alter host metabolism in TNBC are necessary to help us understand the risk and underlying mechanisms and to identify potential microbial-based targets.
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16
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The crosstalk of the human microbiome in breast and colon cancer: A metabolomics analysis. Crit Rev Oncol Hematol 2022; 176:103757. [PMID: 35809795 DOI: 10.1016/j.critrevonc.2022.103757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 06/28/2022] [Accepted: 07/04/2022] [Indexed: 11/20/2022] Open
Abstract
The human microbiome's role in colon and breast cancer is described in this review. Understanding how the human microbiome and metabolomics interact with breast and colon cancer is the chief area of this study. First, the role of the gut and distal microbiome in breast and colon cancer is investigated, and the direct relationship between microbial dysbiosis and breast and colon cancer is highlighted. This work also focuses on the many metabolomic techniques used to locate prospective biomarkers, make an accurate diagnosis, and research new therapeutic targets for cancer treatment. This review clarifies the influence of anti-tumor medications on the microbiota and the proactive measures that can be taken to treat cancer using a variety of therapies, including radiotherapy, chemotherapy, next-generation biotherapeutics, gene-based therapy, integrated omics technology, and machine learning.
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17
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Metabolomics of Breast Cancer: A Review. Metabolites 2022; 12:metabo12070643. [PMID: 35888767 PMCID: PMC9325024 DOI: 10.3390/metabo12070643] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Revised: 07/09/2022] [Accepted: 07/11/2022] [Indexed: 12/10/2022] Open
Abstract
Breast cancer is the most commonly diagnosed cancer in women worldwide. Major advances have been made towards breast cancer prevention and treatment. Unfortunately, the incidence of breast cancer is still increasing globally. Metabolomics is the field of science which studies all the metabolites in a cell, tissue, system, or organism. Metabolomics can provide information on dynamic changes occurring during cancer development and progression. The metabolites identified using cutting-edge metabolomics techniques will result in the identification of biomarkers for the early detection, diagnosis, and treatment of cancers. This review briefly introduces the metabolic changes in cancer with particular focus on breast cancer.
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18
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Chamaraux-Tran TN, Muller M, Pottecher J, Diemunsch PA, Tomasetto C, Namer IJ, Dali-Youcef N. Metabolomic Impact of Lidocaine on a Triple Negative Breast Cancer Cell Line. Front Pharmacol 2022; 13:821779. [PMID: 35273500 PMCID: PMC8902240 DOI: 10.3389/fphar.2022.821779] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 01/24/2022] [Indexed: 12/12/2022] Open
Abstract
Background: Metabolomics and onco-anesthesia are two emerging research fields in oncology. Metabolomics (metabolites analysis) is a new diagnostic and prognostic tool that can also be used for predicting the therapeutic or toxic responses to anticancer treatments. Onco-anesthesia studies assess the impact of anesthesia on disease-free and overall survival after cancer surgery. It has been shown that local anesthetics (LA), particularly lidocaine (LIDO), exert antitumor properties both in vitro and in vivo and may alter the biologic fingerprints of cancer cells. As LA are known to impair mitochondrial bioenergetics and byproducts, the aim of the present study was to assess the impact of LIDO on metabolomic profile of a breast cancer cell line. Methods: Breast cancer MDA-MB-231 cells were exposed for 4 h to 0.5 mM LIDO or vehicle (n = 4). The metabolomic fingerprint was characterized by high resolution magic angle spinning NMR spectroscopy (HRMAS). The multivariate technique using the Algorithm to Determine Expected Metabolite Level Alteration (ADEMA) (Cicek et al., PLoS Comput. Biol., 2013, 9, e1002859), based on mutual information to identify expected metabolite level changes with respect to a specific condition, was used to determine the metabolites variations caused by LIDO. Results: LIDO modulates cell metabolites levels. Several pathways, including glutaminolysis, choline, phosphocholine and total choline syntheses were significantly downregulated in the LIDO group. Discussion: This is the first study assessing the impact of LIDO on metabolomic fingerprint of breast cancer cells. Among pathways downregulated by LIDO, many metabolites are reported to be associated with adverse prognosis when present at a high titer in breast cancer patients. These results fit with the antitumor properties of LIDO and suggest its impact on metabolomics profile of cancer cells. These effects of LIDO are of clinical significance because it is widely used for local anesthesia with cutaneous infiltration during percutaneous tumor biopsy. Future in vitro and preclinical studies are necessary to assess whether metabolomics analysis requires modification of local anesthetic techniques during tumor biopsy.
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Affiliation(s)
- Thiên-Nga Chamaraux-Tran
- Service d'anesthésie-réanimation et Médecine Périopératoire, Hôpital de Hautepierre, Hôpitaux Universitaires de Strasbourg, Strasbourg, France.,Institut de Génétique et de Biologie Moléculaire et Cellulaire Illkirch, Illkirch, France.,Centre National de la Recherche Scientifique, UMR 7104, Illkirch, France.,Institut National de la Santé et de la Recherche Médicale, U1258, Illkirch, France.,ER 3072, Mitochondrie Stress Oxydant et Protection Musculaire, Faculté de Médecine, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, France
| | - Marie Muller
- Service d'anesthésie-réanimation et Médecine Périopératoire, Hôpital de Hautepierre, Hôpitaux Universitaires de Strasbourg, Strasbourg, France.,Université de Strasbourg, Faculté de Médecine, Strasbourg, France
| | - Julien Pottecher
- Service d'anesthésie-réanimation et Médecine Périopératoire, Hôpital de Hautepierre, Hôpitaux Universitaires de Strasbourg, Strasbourg, France.,ER 3072, Mitochondrie Stress Oxydant et Protection Musculaire, Faculté de Médecine, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, France.,Université de Strasbourg, Faculté de Médecine, Strasbourg, France
| | - Pierre A Diemunsch
- Service d'anesthésie-réanimation et Médecine Périopératoire, Hôpital de Hautepierre, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - Catherine Tomasetto
- Institut de Génétique et de Biologie Moléculaire et Cellulaire Illkirch, Illkirch, France.,Centre National de la Recherche Scientifique, UMR 7104, Illkirch, France.,Institut National de la Santé et de la Recherche Médicale, U1258, Illkirch, France
| | - Izzie-Jacques Namer
- Université de Strasbourg, Faculté de Médecine, Strasbourg, France.,MNMS-Platform, Hôpital de Hautepierre, Hôpitaux Universitaires de Strasbourg, Strasbourg, France.,Service de Médecine Nucléaire et d'Imagerie Moléculaire, Institut de Cancérologie Strasbourg Europe, Strasbourg, France.,ICube, Université de Strasbourg/CNRS, UMR 7357, Strasbourg, France
| | - Nassim Dali-Youcef
- Institut de Génétique et de Biologie Moléculaire et Cellulaire Illkirch, Illkirch, France.,Centre National de la Recherche Scientifique, UMR 7104, Illkirch, France.,Institut National de la Santé et de la Recherche Médicale, U1258, Illkirch, France.,Université de Strasbourg, Faculté de Médecine, Strasbourg, France.,Laboratoire de Biochimie et Biologie Moléculaire, Pôle de Biologie, Hôpitaux Universitaires de Strasbourg, Nouvel Hôpital Civil, 1 Place de l'hôpital, Strasbourg, France
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19
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Al-Ansari MM, AlMalki RH, Dahabiyeh LA, Abdel Rahman AM. Metabolomics-Microbiome Crosstalk in the Breast Cancer Microenvironment. Metabolites 2021; 11:metabo11110758. [PMID: 34822416 PMCID: PMC8619468 DOI: 10.3390/metabo11110758] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Revised: 10/28/2021] [Accepted: 10/29/2021] [Indexed: 12/23/2022] Open
Abstract
Breast cancer, the most frequent cancer diagnosed among females, is associated with a high mortality rate worldwide. Alterations in the microbiota have been linked with breast cancer development, suggesting the possibility of discovering disease biomarkers. Metabolomics has emerged as an advanced promising analytical approach for profiling metabolic features associated with breast cancer subtypes, disease progression, and response to treatment. The microenvironment compromises non-cancerous cells such as fibroblasts and influences cancer progression with apparent phenotypes. This review discusses the role of metabolomics in studying metabolic dysregulation in breast cancer caused by the effect of the tumor microenvironment on multiple cells such as immune cells, fibroblasts, adipocytes, etc. Breast tumor cells have a unique metabolic profile through the elevation of glycolysis and the tricarboxylic acid cycle metabolism. This metabolic profile is highly sensitive to microbiota activity in the breast tissue microenvironment. Metabolomics shows great potential as a tool for monitoring metabolic dysregulation in tissue and associating the findings with microbiome expression.
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Affiliation(s)
- Mysoon M. Al-Ansari
- Department of Botany and Microbiology, College of Science, King Saud University, Riyadh 11451, Saudi Arabia; (M.M.A.-A.); (R.H.A.)
- Department of Molecular Oncology, Cancer Biology & Experimental Therapeutics Section, King Faisal Specialist Hospital and Research Centre (KFSHRC), Riyadh 11211, Saudi Arabia
| | - Reem H. AlMalki
- Department of Botany and Microbiology, College of Science, King Saud University, Riyadh 11451, Saudi Arabia; (M.M.A.-A.); (R.H.A.)
- Department of Molecular Oncology, Cancer Biology & Experimental Therapeutics Section, King Faisal Specialist Hospital and Research Centre (KFSHRC), Riyadh 11211, Saudi Arabia
| | - Lina A. Dahabiyeh
- Department of Pharmaceutical Sciences, School of Pharmacy, The University of Jordan, Amman 11942, Jordan;
| | - Anas M. Abdel Rahman
- Metabolomics Section, Department of Clinical Genomics, Center for Genomics Medicine, King Faisal Specialist Hospital and Research Centre (KFSHRC), Zahrawi Street, Al Maather, Riyadh 11211, Saudi Arabia
- Department of Biochemistry and Molecular Medicine, College of Medicine, Al Faisal University, Riyadh 11533, Saudi Arabia
- Correspondence:
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20
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Impact of the Pd 2Spm (Spermine) Complex on the Metabolism of Triple-Negative Breast Cancer Tumors of a Xenograft Mouse Model. Int J Mol Sci 2021; 22:ijms221910775. [PMID: 34639114 PMCID: PMC8509401 DOI: 10.3390/ijms221910775] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 09/29/2021] [Accepted: 09/29/2021] [Indexed: 12/22/2022] Open
Abstract
The interest in palladium(II) compounds as potential new anticancer drugs has increased in recent years, due to their high toxicity and acquired resistance to platinum(II)-derived agents, namely cisplatin. In fact, palladium complexes with biogenic polyamines (e.g., spermine, Pd2Spm) have been known to display favorable antineoplastic properties against distinct human breast cancer cell lines. This study describes the in vivo response of triple-negative breast cancer (TNBC) tumors to the Pd2Spm complex or to cisplatin (reference drug), compared to tumors in vehicle-treated mice. Both polar and lipophilic extracts of tumors, excised from a MDA-MB-231 cell-derived xenograft mouse model, were characterized through nuclear magnetic resonance (NMR) metabolomics. Interestingly, the results show that polar and lipophilic metabolomes clearly exhibit distinct responses for each drug, with polar metabolites showing a stronger impact of the Pd(II)-complex compared to cisplatin, whereas neither drug was observed to significantly affect tumor lipophilic metabolism. Compared to cisplatin, exposure to Pd2Spm triggered a higher number of, and more marked, variations in some amino acids, nucleotides and derivatives, membrane precursors (choline and phosphoethanolamine), dimethylamine, fumarate and guanidine acetate, a signature that may be relatable to the cytotoxicity and/or mechanism of action of the palladium complex. Putative explanatory biochemical hypotheses are advanced on the role of the new Pd2Spm complex in TNBC metabolism.
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21
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Multi-Omic Approaches to Breast Cancer Metabolic Phenotyping: Applications in Diagnosis, Prognosis, and the Development of Novel Treatments. Cancers (Basel) 2021; 13:cancers13184544. [PMID: 34572770 PMCID: PMC8470181 DOI: 10.3390/cancers13184544] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 09/01/2021] [Accepted: 09/08/2021] [Indexed: 12/15/2022] Open
Abstract
Breast cancer (BC) is characterized by high disease heterogeneity and represents the most frequently diagnosed cancer among women worldwide. Complex and subtype-specific gene expression alterations participate in disease development and progression, with BC cells known to rewire their cellular metabolism to survive, proliferate, and invade. Hence, as an emerging cancer hallmark, metabolic reprogramming holds great promise for cancer diagnosis, prognosis, and treatment. Multi-omics approaches (the combined analysis of various types of omics data) offer opportunities to advance our understanding of the molecular changes underlying metabolic rewiring in complex diseases such as BC. Recent studies focusing on the combined analysis of genomics, epigenomics, transcriptomics, proteomics, and/or metabolomics in different BC subtypes have provided novel insights into the specificities of metabolic rewiring and the vulnerabilities that may guide therapeutic development and improve patient outcomes. This review summarizes the findings of multi-omics studies focused on the characterization of the specific metabolic phenotypes of BC and discusses how they may improve clinical BC diagnosis, subtyping, and treatment.
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22
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Mustafa MF, Saliluddin SM, Fakurazi S, Tizen Laim NMS, Md Pauzi SH, Nik Yahya NH, S Raja Gopal N, Abdullah MA, Maniam S. Expression of Autophagy and Mitophagy Markers in Breast Cancer Tissues. Front Oncol 2021; 11:612009. [PMID: 34490076 PMCID: PMC8416475 DOI: 10.3389/fonc.2021.612009] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 07/21/2021] [Indexed: 12/11/2022] Open
Abstract
Mitochondria play important roles in regulating cell bioenergetics status and reactive oxygen species (ROS) generation. ROS-induced mitochondrial damage is among the main intracellular signal inducers of autophagy. Autophagy is a cellular catabolic process that regulates protein and organelle turnover, while a selective form of autophagy, mitophagy, specifically targets dysfunctional mitochondrial degradation. This study aims to measure the levels of autophagy, mitophagy, oxidative stress, and apoptosis in invasive breast carcinoma tissues using immunohistochemistry (IHC). Tissue microarrays of 76 patients with breast cancer were stained with six IHC markers (MnSOD, Beclin-1, LC3, BNIP3, Parkin, and cleaved caspase 3). The expression intensity was determined for each tumor tissue and the adjacent tumor-matched control tissues. Intermediate and strong staining scores of MnSOD, Beclin-1, LC-3, BNIP-3, and Parkin were significantly higher in tumor tissues compared to the adjacent matched control. The scoring intensity was further classified into tissues with negative staining and positive staining, which showed that positive scores of Beclin-1 and Parkin were significantly high in tumor tissues compared to other markers. Positive association was also noted between BNIP-3 and Beclin-1 as well as LC-3 and cleaved caspase-3 immunostaining. To our knowledge, this is one of the first studies that measure both mitophagy and autophagy in the same breast cancer tissues and the adjacent matched control. The findings from this study will be of great potential in identifying new cancer biomarkers and inspire significant interest in applying anti-autophagy therapies as a possible treatment for breast cancer.
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Affiliation(s)
- Mohd Fazirul Mustafa
- Department of Human Anatomy, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor Darul Ehsan, Malaysia
| | - Suhainizam Muhamad Saliluddin
- Department of Community Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor, Malaysia
| | - Sharida Fakurazi
- Department of Human Anatomy, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor Darul Ehsan, Malaysia
| | | | - Suria Hayati Md Pauzi
- Department of Pathology, Universiti Kebangsaan Malaysia Medical Centre, Kuala Lumpur, Malaysia
| | | | | | - Maizaton Atmadini Abdullah
- Department of Pathology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor Darul Ehsan, Malaysia
| | - Sandra Maniam
- Department of Human Anatomy, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor Darul Ehsan, Malaysia
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23
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Schmidt DR, Patel R, Kirsch DG, Lewis CA, Vander Heiden MG, Locasale JW. Metabolomics in cancer research and emerging applications in clinical oncology. CA Cancer J Clin 2021; 71:333-358. [PMID: 33982817 PMCID: PMC8298088 DOI: 10.3322/caac.21670] [Citation(s) in RCA: 284] [Impact Index Per Article: 94.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 03/07/2021] [Accepted: 03/09/2021] [Indexed: 12/12/2022] Open
Abstract
Cancer has myriad effects on metabolism that include both rewiring of intracellular metabolism to enable cancer cells to proliferate inappropriately and adapt to the tumor microenvironment, and changes in normal tissue metabolism. With the recognition that fluorodeoxyglucose-positron emission tomography imaging is an important tool for the management of many cancers, other metabolites in biological samples have been in the spotlight for cancer diagnosis, monitoring, and therapy. Metabolomics is the global analysis of small molecule metabolites that like other -omics technologies can provide critical information about the cancer state that are otherwise not apparent. Here, the authors review how cancer and cancer therapies interact with metabolism at the cellular and systemic levels. An overview of metabolomics is provided with a focus on currently available technologies and how they have been applied in the clinical and translational research setting. The authors also discuss how metabolomics could be further leveraged in the future to improve the management of patients with cancer.
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Affiliation(s)
- Daniel R. Schmidt
- Koch Institute, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Department of Radiation Oncology, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
| | - Rutulkumar Patel
- Department of Radiation Oncology, Duke University School of Medicine, Durham, NC 27708 USA
| | - David G. Kirsch
- Department of Radiation Oncology, Duke University School of Medicine, Durham, NC 27708 USA
- Department of Pharmacology and Cancer Biology, Duke University, Durham, NC 27708 USA
| | - Caroline A. Lewis
- Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA
| | - Matthew G. Vander Heiden
- Koch Institute, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Jason W. Locasale
- Department of Pharmacology and Cancer Biology, Duke University, Durham, NC 27708 USA
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24
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Ferreira LP, Gaspar VM, Mendes L, Duarte IF, Mano JF. Organotypic 3D decellularized matrix tumor spheroids for high-throughput drug screening. Biomaterials 2021; 275:120983. [PMID: 34186236 DOI: 10.1016/j.biomaterials.2021.120983] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 06/10/2021] [Accepted: 06/18/2021] [Indexed: 02/07/2023]
Abstract
Decellularized extracellular matrix (dECM) is emerging as a valuable tool for generating 3D in vitro tumor models that better recapitulate tumor-stroma interactions. However, the development of dECM-3D heterotypic microtumors exhibiting a controlled morphology is yet to be materialized. Precisely controlling microtumors morphologic features is key to avoid an inaccurate evaluation of therapeutics performance during preclinical screening. To address this, herein we employed ultra-low adhesion surfaces for bioengineering organotypic 3D metastatic breast cancer-fibroblast models enriched with dECM microfibrillar fragments, as a bottom-up strategy to include major matrix components and their associated biomolecular cues during the early stages of 3D microtissue spheroids assembly, simulating pre-existing ECM presence in the in vivo setting. This biomimetic approach enabled the self-assembly of dECM-3D tumor-stroma spheroids with tunable size and reproducible morphology. Along time, dECM enriched and stroma-rich microtumors exhibited necrotic core formation, secretion of key biomarkers and higher cancer-cell specific resistance to different chemotherapeutics in comparison to standard spheroids. Exometabolomics profiling of dECM-Spheroid in vitro models further identified important breast cancer metabolic features including glucose/pyruvate consumption and lactate excretion, which suggest an intense glycolytic activity, recapitulating major hallmarks of the native microenvironment. Such organotypic dECM-enriched microtumors overcome the morphologic variability generally associated with cell-laden dECM models, while providing a scalable testing platform that can be foreseeable leveraged for high-throughput screening of candidate therapeutics.
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Affiliation(s)
- Luís P Ferreira
- Department of Chemistry, CICECO - Aveiro Institute of Materials, University of Aveiro, Campus Universitário de Santiago, 3810-193, Aveiro, Portugal
| | - Vítor M Gaspar
- Department of Chemistry, CICECO - Aveiro Institute of Materials, University of Aveiro, Campus Universitário de Santiago, 3810-193, Aveiro, Portugal.
| | - Luís Mendes
- Department of Chemistry, CICECO - Aveiro Institute of Materials, University of Aveiro, Campus Universitário de Santiago, 3810-193, Aveiro, Portugal
| | - Iola F Duarte
- Department of Chemistry, CICECO - Aveiro Institute of Materials, University of Aveiro, Campus Universitário de Santiago, 3810-193, Aveiro, Portugal
| | - João F Mano
- Department of Chemistry, CICECO - Aveiro Institute of Materials, University of Aveiro, Campus Universitário de Santiago, 3810-193, Aveiro, Portugal.
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25
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Vignoli A, Risi E, McCartney A, Migliaccio I, Moretti E, Malorni L, Luchinat C, Biganzoli L, Tenori L. Precision Oncology via NMR-Based Metabolomics: A Review on Breast Cancer. Int J Mol Sci 2021; 22:ijms22094687. [PMID: 33925233 PMCID: PMC8124948 DOI: 10.3390/ijms22094687] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 04/23/2021] [Accepted: 04/27/2021] [Indexed: 12/22/2022] Open
Abstract
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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Affiliation(s)
- Alessia Vignoli
- Magnetic Resonance Center (CERM), University of Florence, 50019 Sesto Fiorentino, Italy; (A.V.); (L.T.)
- Department of Chemistry “Ugo Schiff”, University of Florence, 50019 Sesto Fiorentino, Italy
| | - Emanuela Risi
- Department of Medical Oncology, New Hospital of Prato S. Stefano, 59100 Prato, Italy; (E.R.); (A.M.); (I.M.); (E.M.); (L.M.); (L.B.)
| | - Amelia McCartney
- Department of Medical Oncology, New Hospital of Prato S. Stefano, 59100 Prato, Italy; (E.R.); (A.M.); (I.M.); (E.M.); (L.M.); (L.B.)
- School of Clinical Sciences, Monash University, Melbourne 3800, Australia
| | - Ilenia Migliaccio
- Department of Medical Oncology, New Hospital of Prato S. Stefano, 59100 Prato, Italy; (E.R.); (A.M.); (I.M.); (E.M.); (L.M.); (L.B.)
| | - Erica Moretti
- Department of Medical Oncology, New Hospital of Prato S. Stefano, 59100 Prato, Italy; (E.R.); (A.M.); (I.M.); (E.M.); (L.M.); (L.B.)
| | - Luca Malorni
- Department of Medical Oncology, New Hospital of Prato S. Stefano, 59100 Prato, Italy; (E.R.); (A.M.); (I.M.); (E.M.); (L.M.); (L.B.)
| | - Claudio Luchinat
- Magnetic Resonance Center (CERM), University of Florence, 50019 Sesto Fiorentino, Italy; (A.V.); (L.T.)
- Department of Chemistry “Ugo Schiff”, University of Florence, 50019 Sesto Fiorentino, Italy
- Consorzio Interuniversitario Risonanze Magnetiche di Metallo Proteine (C.I.R.M.M.P.), 50019 Sesto Fiorentino, Italy
- Correspondence: ; Tel.: +39-055-457-4296
| | - Laura Biganzoli
- Department of Medical Oncology, New Hospital of Prato S. Stefano, 59100 Prato, Italy; (E.R.); (A.M.); (I.M.); (E.M.); (L.M.); (L.B.)
| | - Leonardo Tenori
- Magnetic Resonance Center (CERM), University of Florence, 50019 Sesto Fiorentino, Italy; (A.V.); (L.T.)
- Department of Chemistry “Ugo Schiff”, University of Florence, 50019 Sesto Fiorentino, Italy
- Consorzio Interuniversitario Risonanze Magnetiche di Metallo Proteine (C.I.R.M.M.P.), 50019 Sesto Fiorentino, Italy
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26
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Roelands J, Mall R, Almeer H, Thomas R, Mohamed MG, Bedri S, Al-Bader SB, Junejo K, Ziv E, Sayaman RW, Kuppen PJK, Bedognetti D, Hendrickx W, Decock J. Ancestry-associated transcriptomic profiles of breast cancer in patients of African, Arab, and European ancestry. NPJ Breast Cancer 2021; 7:10. [PMID: 33558495 PMCID: PMC7870839 DOI: 10.1038/s41523-021-00215-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 12/23/2020] [Indexed: 02/06/2023] Open
Abstract
Breast cancer largely dominates the global cancer burden statistics; however, there are striking disparities in mortality rates across countries. While socioeconomic factors contribute to population-based differences in mortality, they do not fully explain disparity among women of African ancestry (AA) and Arab ancestry (ArA) compared to women of European ancestry (EA). In this study, we sought to identify molecular differences that could provide insight into the biology of ancestry-associated disparities in clinical outcomes. We applied a unique approach that combines the use of curated survival data from The Cancer Genome Atlas (TCGA) Pan-Cancer clinical data resource, improved single-nucleotide polymorphism-based inferred ancestry assignment, and a novel breast cancer subtype classification to interrogate the TCGA and a local Arab breast cancer dataset. We observed an enrichment of BasalMyo tumors in AA patients (38 vs 16.5% in EA, p = 1.30E - 10), associated with a significant worse overall (hazard ratio (HR) = 2.39, p = 0.02) and disease-specific survival (HR = 2.57, p = 0.03). Gene set enrichment analysis of BasalMyo AA and EA samples revealed differences in the abundance of T-regulatory and T-helper type 2 cells, and enrichment of cancer-related pathways with prognostic implications (AA: PI3K-Akt-mTOR and ErbB signaling; EA: EGF, estrogen-dependent and DNA repair signaling). Strikingly, AMPK signaling was associated with opposing prognostic connotation (AA: 10-year HR = 2.79, EA: 10-year HR = 0.34). Analysis of ArA patients suggests enrichment of BasalMyo tumors with a trend for differential enrichment of T-regulatory cells and AMPK signaling. Together, our findings suggest that the disparity in the clinical outcome of AA breast cancer patients is likely related to differences in cancer-related and microenvironmental features.
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Affiliation(s)
- Jessica Roelands
- Functional Cancer Omics Lab, Cancer Group, Research Branch, Sidra Medicine, Doha, Qatar
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands
| | - Raghvendra Mall
- Qatar Computing Research Institute (QCRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
| | - Hossam Almeer
- Qatar Computing Research Institute (QCRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
| | - Remy Thomas
- Cancer Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
| | - Mahmoud G Mohamed
- Women's Hospital, Hamad Medical Corporation, Doha, Qatar
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, Genoa, Italy
| | | | | | - Kulsoom Junejo
- General Surgery Department, Hamad General Hospital, Doha, Qatar
| | - Elad Ziv
- Department of Medicine, Institute for Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Rosalyn W Sayaman
- Department of Population Sciences, Beckman Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
- Department of Laboratory Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Peter J K Kuppen
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands
| | - Davide Bedognetti
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, Genoa, Italy.
- Cancer Immunogenetics Lab, Cancer Group, Research Branch, Sidra Medicine, Doha, Qatar.
- College of Health and Life Sciences (CHLS), Hamad bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar.
| | - Wouter Hendrickx
- Functional Cancer Omics Lab, Cancer Group, Research Branch, Sidra Medicine, Doha, Qatar.
- College of Health and Life Sciences (CHLS), Hamad bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar.
| | - Julie Decock
- Cancer Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar.
- College of Health and Life Sciences (CHLS), Hamad bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar.
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27
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Tsakogiannis D, Kalogera E, Zagouri F, Zografos E, Balalis D, Bletsa G. Determination of FABP4, RBP4 and the MMP-9/NGAL complex in the serum of women with breast cancer. Oncol Lett 2020; 21:85. [PMID: 33376518 PMCID: PMC7751333 DOI: 10.3892/ol.2020.12346] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Accepted: 07/31/2020] [Indexed: 12/21/2022] Open
Abstract
Breast cancer is the most common type of cancer in females and is the leading cause of cancer-associated death among women, worldwide. The present study aimed to measure the serum levels of fatty acid-binding protein 4 (FABP4), retinol binding protein 4 (RBP4) and the MMP-9/neutrophil gelatinase-associated lipocalin (NGAL) complex in women diagnosed with breast cancer. Serum levels of the examined proteins were determined in the peripheral blood of patients via ELISA. Furthermore, whether the concentration of each protein was associated with breast cancer growth, molecular subtype, BMI, postmenopausal status, diabetes and the social background of patients was assessed. Women with invasive breast cancer demonstrated significantly higher levels of FABP4 (P=0.008). Additionally, considerably elevated FABP4 levels were demonstrated specifically in Luminal breast cancer cases (P<0.01). No significant association was recorded between RBP4 and breast cancer development. In addition, significantly lower levels of the MMP-9/NGAL complex were recorded in triple negative/HER-2 cases (P<0.05). BMI values appeared to influence the aforementioned associations, while significantly high serum levels of FABP4 and the MMP-9/NGAL complex were found in postmenopausal patients with breast cancer and a BMI ≥25 kg/m2 (P<0.05). In addition, high levels of FABP4 were significantly associated with breast cancer patients with diabetes (P=0.05). However, no association was identified between RBP4, the MMP-9/NGAL complex and diabetes. In conclusion, FABP4 can be regarded as a biomarker of breast cancer growth, while both FABP4 and the MMP-9/NGAL complex may provide considerable information regarding the development of specific breast cancer subtypes. FABP4 and the MMP-9/NGAL complex may also be able to predict the development of breast cancer in postmenopausal patients with obesity.
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Affiliation(s)
| | - Eleni Kalogera
- Research Center, Hellenic Anticancer Institute, Athens 10680, Greece
| | - Flora Zagouri
- Department of Clinical Therapeutics, Alexandra Hospital, National and Kapodistrian University of Athens School of Medicine, Athens 11528, Greece
| | - Eleni Zografos
- Department of Clinical Therapeutics, Alexandra Hospital, National and Kapodistrian University of Athens School of Medicine, Athens 11528, Greece
| | - Dimitris Balalis
- Department of Surgery, Saint Savvas, Anticancer Hospital, Athens 11522, Greece
| | - Garyfalia Bletsa
- Research Center, Hellenic Anticancer Institute, Athens 10680, Greece
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28
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Liang ZZ, Zhu RM, Li YL, Jiang HM, Li RB, Tang LY, Wang Q, Ren ZF. Differential epigenetic and transcriptional profile in MCF-7 breast cancer cells exposed to cadmium. CHEMOSPHERE 2020; 261:128148. [PMID: 33113665 DOI: 10.1016/j.chemosphere.2020.128148] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 07/29/2020] [Accepted: 08/23/2020] [Indexed: 06/11/2023]
Abstract
Cadmium (Cd) has been confirmed to be associated with breast carcinogenesis, but the mechanism was not clarified yet. Given that epigenetic modification was speculated as underlying mechanism, we examined the differential epigenome caused by Cd in breast cancer cells. Profiles of DNA methylation, microRNA (miRNA), long non-coding RNA (lncRNA), and message RNA (mRNA) were derived from Cd-treated and untreated MCF-7 breast cancer cells by microarray. We identified 997 target genes epigenetically regulated by Cd through cross-verification with the differential epigenome and transcriptome, and 400 of them were further validated in a breast cancer cohort. Biological function analyses suggested that several pathways were involved in Cd-induced breast carcinogenesis, such as Wnt signaling, metabolism, and human papilloma virus (HPV) infection. TXNRD1 and CCT3 were further identified as the critical genes based on the degree of expression change, hazard ratio difference, and connectivity. The present study revealed that Cd epigenetically regulated several pathways involving in breast carcinogenesis, particularly the Wnt signaling and metabolic pathways, among which TXNRD1 and CCT3 might play critical roles. It was also suggested that Cd and HPV infection might jointly participate in breast tumorigenesis.
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Affiliation(s)
- Zhuo-Zhi Liang
- School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Rui-Mei Zhu
- School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yue-Lin Li
- School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Hong-Mei Jiang
- School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Ruo-Bi Li
- School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Lu-Ying Tang
- The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510630, China
| | - Qing Wang
- School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Ze-Fang Ren
- School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
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29
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Metabolic Signatures of Tumor Responses to Doxorubicin Elucidated by Metabolic Profiling in Ovo. Metabolites 2020; 10:metabo10070268. [PMID: 32605263 PMCID: PMC7408021 DOI: 10.3390/metabo10070268] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 06/25/2020] [Accepted: 06/27/2020] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Dysregulated cancer metabolism is associated with acquired resistance to chemotherapeutic treatment and contributes to the activation of cancer survival mechanisms. However, which metabolic pathways are activated following treatment often remains elusive. The combination of chicken embryo tumor models (in ovo) with metabolomics phenotyping could offer a robust platform for drug testing. Here, we assess the potential of this approach in the treatment of an in ovo triple negative breast cancer with doxorubicin. METHODS MB-MDA-231 cells were grafted in ovo. The resulting tumors were then treated with doxorubicin or dimethyl sulfoxide (DMSO) for six days. Tumors were collected and analyzed using a global untargeted metabolomics and comprehensive lipidomics. RESULTS We observed a significant suppression of tumor growth in the doxorubicin treated group. The metabolic profiles of doxorubicin and DMSO-treated tumors were clearly separated in a principle component analysis. Inhibition of glycolysis, nucleotide synthesis, and glycerophospholipid metabolism appear to be triggered by doxorubicin treatment, which could explain the observed suppressed tumor growth. In addition, metabolic cancer survival mechanisms could be supported by an acceleration of antioxidative pathways. CONCLUSIONS Metabolomics in combination with in ovo tumor models provide a robust platform for drug testing to reveal tumor specific treatment targets such as the antioxidative tumor capacity.
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Eghlimi R, Shi X, Hrovat J, Xi B, Gu H. Triple Negative Breast Cancer Detection Using LC-MS/MS Lipidomic Profiling. J Proteome Res 2020; 19:2367-2378. [PMID: 32397718 DOI: 10.1021/acs.jproteome.0c00038] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Breast cancer (BC) is a heterogeneous malignancy that is responsible for a great portion of female cancer cases and cancer-related deaths in the United States. In comparison to other major BC subtypes, triple negative breast cancer (TNBC) presents with a relatively low survival rate and a high rate of metastasis. This has led to a strong, though largely unmet, need for more sensitive and specific methods of early-stage TNBC (ES-TNBC) detection to combat its high-grade pathology and relatively low survival rate. The current study employs a liquid chromatography-tandem mass spectrometry assay capable of targeted, highly specific, and sensitive detection of lipids to propose two diagnostic biomarker panels for TNBC/ES-TNBC. Using this approach, 110 lipids were reliably detected in 166 human plasma samples, 45 controls, and 121 BC (96 non-TNBC and 25 TNBC) subjects. Univariate and multivariate analyses allowed the construction and application of a 19-lipid biomarker panel capable of distinguishing TNBC (and ES-TNBC) from controls, as well as a 5-lipid biomarker panel capable of differentiating TNBC from non-TNBC and ES-TNBC from ES-non-TNBC. Receiver operating characteristic curves with notable classification performances were generated from the biomarker panels according to their orthogonal partial least-squares discrimination analysis models. TNBC was distinguished from controls with an area under the receiving operating characteristic curve (AUROC) = 0.93, sensitivity = 0.96, and specificity = 0.76 and ES-TNBC from controls with an AUROC = 0.96, sensitivity = 0.95, and specificity = 0.89. TNBC was differentiated from non-TNBC with an AUROC = 0.88, sensitivity = 0.88, and specificity = 0.79 and ES-TNBC from ES-non-TNBC with an AUROC = 0.95, sensitivity = 0.95, and specificity = 0.87. A pathway enrichment analysis between TNBC and controls also revealed significant disturbances in choline metabolism, sphingolipid signaling, and glycerophospholipid metabolism. To the best of our knowledge, this is the first study to propose a diagnostic lipid biomarker panel for TNBC detection. All raw mass spectrometry data have been deposited to MassIVE (dataset identifier MSV000085324).
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Affiliation(s)
- Ryan Eghlimi
- Arizona Metabolomics Laboratory, College of Health Solutions, Arizona State University, Scottsdale, Arizona 85259, United States
| | - Xiaojian Shi
- Arizona Metabolomics Laboratory, College of Health Solutions, Arizona State University, Scottsdale, Arizona 85259, United States
| | - Jonathan Hrovat
- Arizona Metabolomics Laboratory, College of Health Solutions, Arizona State University, Scottsdale, Arizona 85259, United States
| | - Bowei Xi
- Department of Statistics, Purdue University, West Lafayette, Indiana 47907, United States
| | - Haiwei Gu
- Arizona Metabolomics Laboratory, College of Health Solutions, Arizona State University, Scottsdale, Arizona 85259, United States
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31
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Evaluation of MDA-MB-468 Cell Culture Media Analysis in Predicting Triple-Negative Breast Cancer Patient Sera Metabolic Profiles. Metabolites 2020; 10:metabo10050173. [PMID: 32349447 PMCID: PMC7281562 DOI: 10.3390/metabo10050173] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 04/07/2020] [Accepted: 04/22/2020] [Indexed: 12/12/2022] Open
Abstract
Triple-negative breast cancer (TNBC) is characterized by limited survival, poor prognosis, and high recurrence. Understanding the metabolic adaptations of TNBC could help reveal improved treatment regiments. Here we performed a comprehensive 1H NMR metabolic characterization of the MDA-MB-468 cell line, a commonly used model of TNBC, followed by an analysis of serum samples obtained from TNBC patients and healthy controls. MDA-MB-468 cells were cultured, and changes in the metabolic composition of the medium were monitored for 72 h. Based on time courses, metabolites were categorized as being consumed, being produced, or showing a mixed behavior. When comparing TNBC and control samples (HC), and by using multivariate and univariate analyses, we identified nine metabolites with differing profiles). The serum of TNBC patients was characterized by higher levels of glucose, glutamine, citrate, and acetoacetate and by lower levels of lactate, alanine, tyrosine, glutamate, and acetone. A comparative analysis between MDA-MB-468 cell culture media and TNBC patients' serum identified a potential systemic response to the carcinogenesis-associated processes, highlighting that MDA-MB-468 cells footprint does not reflect metabolic changes observed in studied TNBC serum fingerprint.
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32
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Dragan M, Nguyen MU, Guzman S, Goertzen C, Brackstone M, Dhillo WS, Bech PR, Clarke S, Abbara A, Tuck AB, Hess DA, Pine SR, Zong WX, Wondisford FE, Su X, Babwah AV, Bhattacharya M. G protein-coupled kisspeptin receptor induces metabolic reprograming and tumorigenesis in estrogen receptor-negative breast cancer. Cell Death Dis 2020; 11:106. [PMID: 32034133 PMCID: PMC7005685 DOI: 10.1038/s41419-020-2305-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 01/27/2020] [Indexed: 12/23/2022]
Abstract
Triple-negative breast cancer (TNBC) is a highly metastatic and deadly disease. TNBC tumors lack estrogen receptor (ERα), progesterone receptor (PR), and HER2 (ErbB2) and exhibit increased glutamine metabolism, a requirement for tumor growth. The G protein-coupled kisspeptin receptor (KISS1R) is highly expressed in patient TNBC tumors and promotes malignant transformation of breast epithelial cells. This study found that TNBC patients displayed elevated plasma kisspeptin levels compared with healthy subjects. It also provides the first evidence that in addition to promoting tumor growth and metastasis in vivo, KISS1R-induced glutamine dependence of tumors. In addition, tracer-based metabolomics analyses revealed that KISS1R promoted glutaminolysis and nucleotide biosynthesis by increasing c-Myc and glutaminase levels, key regulators of glutamine metabolism. Overall, this study establishes KISS1R as a novel regulator of TNBC metabolism and metastasis, suggesting that targeting KISS1R could have therapeutic potential in the treatment of TNBC.
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Affiliation(s)
- Magdalena Dragan
- Department of Medicine, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - Mai-Uyen Nguyen
- Department of Medicine, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - Stephania Guzman
- Department of Medicine, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - Cameron Goertzen
- Cancer Invasion and Metastasis Laboratory, Faculty of Dentistry, University of Toronto, Toronto, ON, Canada
| | - Muriel Brackstone
- Department of Surgery, London Health Sciences Centre, London, ON, Canada
| | - Waljit S Dhillo
- Section of Investigative Medicine, Imperial College London, London, UK
| | - Paul R Bech
- Section of Investigative Medicine, Imperial College London, London, UK
| | - Sophie Clarke
- Section of Investigative Medicine, Imperial College London, London, UK
| | - Ali Abbara
- Section of Investigative Medicine, Imperial College London, London, UK
| | - Alan B Tuck
- Department of Pathology, The University of Western Ontario, London, ON, Canada
| | - David A Hess
- Department of Physiology and Pharmacology, The University of Western Ontario, London, ON, Canada
| | - Sharon R Pine
- Department of Medicine, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA.,Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA
| | - Wei-Xing Zong
- Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA.,Department of Chemical Biology, Ernest Mario School of Pharmacy, Rutgers University, New Brunswick, NJ, USA
| | - Frederic E Wondisford
- Department of Medicine, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA.,Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA.,Child Health Institute of New Jersey, New Brunswick, NJ, USA
| | - Xiaoyang Su
- Department of Medicine, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA.,Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA
| | - Andy V Babwah
- Child Health Institute of New Jersey, New Brunswick, NJ, USA.,Department of Pediatrics, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - Moshmi Bhattacharya
- Department of Medicine, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA. .,Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA. .,Child Health Institute of New Jersey, New Brunswick, NJ, USA.
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Wang Z, Zhi K, Ding Z, Sun Y, Li S, Li M, Pu K, Zou J. Emergence in protein derived nanomedicine as anticancer therapeutics: More than a tour de force. Semin Cancer Biol 2020; 69:77-90. [PMID: 31962173 DOI: 10.1016/j.semcancer.2019.11.012] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Revised: 11/14/2019] [Accepted: 11/30/2019] [Indexed: 12/12/2022]
Abstract
Cancer has thwarted as a major health problem affecting the global population. With an alarming increase in the patient population suffering from diverse varieties of cancers, the global demographic data predicts sharp escalation in the number of cancer patients. This can be expected to reach 420 million cases by 2025. Among the diverse types of cancers, the most frequently diagnosed cancers are the breast, colorectal, prostate and lung cancer. From years, conventional treatment approaches like surgery, chemotherapy and radiation therapy have been practiced. In the past few years, increasing research on molecular level diagnosis and treatment of cancers have significantly changed the realm of cancer treatment. Lately, uses of advanced chemotherapy and immunotherapy like treatments have gained significant progress in the cancer therapy, but these approaches have several limitations on their safety and toxicity. This has generated lot of momentum for the evolution of new drug delivery approaches for the effective delivery of anticancer therapeutics, which may improve the pharmacokinetic and pharmacodynamic effect of the drugs along with significant reduction in the side effects. In this regard, the protein-based nano-medicines have gained wider attention in the management of cancer. Proteins are organic macromolecules essential, for life and have quite well explored in developing the nano-carriers. Furthermore, it provides passive or active tumour cell targeted delivery, by using protein based nanovesicles or virus like structures, antibody drug conjugates, viral particles, etc. Moreover, by utilizing various formulation strategies, both the animal and plant derived proteins can be converted to produce self-assembled virus like nano-metric structures with high efficiency in targeting the metastatic cancer cells. Therefore, the present review extensively discusses the applications of protein-based nano-medicine with special emphasis on intracellular delivery/drug targeting ability for anticancer drugs.
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Affiliation(s)
- Zhenchang Wang
- Department of Spleen, Stomach and Liver Diseases, Guangxi International Zhuang Medical Hospital, Guangxi, Nanning, 530201, China
| | - Kangkang Zhi
- Vascular Surgery, Changzheng Hospital, Second Military Medical University, Shanghai, 200003, China
| | - Zhongyang Ding
- General Surgery, Wuxi Traditional Chinese Medicine Hospital Affiliated to Nanjing University of Traditional Chinese Medicine, Jiangsu, Nanjing, 214023, China
| | - Yi Sun
- Oncology Department, Guizhou Provincial People's Hospital, Guizhou, Guiyang, 550002, China
| | - Shuang Li
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Jiamusi University, Heilongjiang, Jiamu, 154003, China
| | - Manyuan Li
- Laboratory Department, Jinzhou Maternal and Infant Hospital, Liaoning, Jinzhou, 121000, China
| | - Kefeng Pu
- Suzhou Institute of Nanotechnology and Nano-Bionics, Chinese Academy of Sciences, Suzhou, Jiangsu, 215123, China
| | - Jun Zou
- Department of Orthopaedic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, China.
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Bitencourt AGV, Goldberg J, Pinker K, Thakur SB. Clinical applications of breast cancer metabolomics using high-resolution magic angle spinning proton magnetic resonance spectroscopy (HRMAS 1H MRS): systematic scoping review. Metabolomics 2019; 15:148. [PMID: 31696341 DOI: 10.1007/s11306-019-1611-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 11/01/2019] [Indexed: 02/07/2023]
Abstract
INTRODUCTION Breast cancer is a heterogeneous disease with different prognoses and responses to systemic treatment depending on its molecular characteristics, which makes it imperative to develop new biomarkers for an individualized diagnosis and personalized oncological treatment. Ex vivo high-resolution magic angle spinning proton magnetic resonance spectroscopy (HRMAS 1H MRS) is the most common technique for metabolic quantification in human surgical and biopsy tissue specimens. OBJECTIVE To perform a review of the current available literature on the clinical applications of HRMAS 1H MRS metabolic analysis in tissue samples of breast cancer patients. METHODS This systematic scoping review included original research papers published in the English language in peer-reviewed journals. Study selection was performed independently by two reviewers and preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines were followed. RESULTS The literature search returned 159 studies and 26 papers were included as part of this systematic review. There was considerable variation regarding tissue type, aims, and statistical analysis methods across the different studies. To facilitate the interpretation of the results, the included studies were grouped according to their aims or main outcomes into: feasibility and tumor diagnosis (n = 6); tumor heterogeneity (n = 2); correlation with proteomics/transcriptomics (n = 3); correlation with prognostic factors (n = 11); and response evaluation to NAC (n = 4). CONCLUSION There is a lot of potential in including metabolic information of breast cancer tissue obtained with HRMAS 1H MRS. To date, studies show that metabolic concentrations quantified by this technique can be related to the diagnosis, prognosis, and treatment response in breast cancer patients.
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Affiliation(s)
- Almir G V Bitencourt
- Breast Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Imaging, A.C.Camargo Cancer Center, São Paulo, SP, Brazil
| | - Johanna Goldberg
- MSK Library, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Katja Pinker
- Breast Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sunitha B Thakur
- Breast Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, 300 E 66th St, New York, NY, 10065, USA.
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Arroyo‐Crespo JJ, Armiñán A, Charbonnier D, Deladriere C, Palomino‐Schätzlein M, Lamas‐Domingo R, Forteza J, Pineda‐Lucena A, Vicent MJ. Characterization of triple-negative breast cancer preclinical models provides functional evidence of metastatic progression. Int J Cancer 2019; 145:2267-2281. [PMID: 30860605 PMCID: PMC6767480 DOI: 10.1002/ijc.32270] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Revised: 01/25/2019] [Accepted: 02/28/2019] [Indexed: 12/13/2022]
Abstract
Triple-negative breast cancer (TNBC), an aggressive, metastatic and recurrent breast cancer (BC) subtype, currently suffers from a lack of adequately described spontaneously metastatic preclinical models that faithfully reproduce the clinical scenario. We describe two preclinical spontaneously metastatic TNBC orthotopic murine models for the development of advanced therapeutics: an immunodeficient human MDA-MB-231-Luc model and an immunocompetent mouse 4T1 model. Furthermore, we provide a broad range of multifactorial analysis for both models that could provide relevant information for the development of new therapies and diagnostic tools. Our comparisons uncovered differential growth rates, stromal arrangements and metabolic profiles in primary tumors, and the presence of cancer-associated adipocyte infiltration in the MDA-MB-231-Luc model. Histopathological studies highlighted the more rapid metastatic spread to the lungs in the 4T1 model following a lymphatic route, while we observed both homogeneous (MDA-MB-231-Luc) and heterogeneous (4T1) metastatic spread to axillary lymph nodes. We encountered unique metabolomic signatures in each model, including crucial amino acids and cell membrane components. Hematological analysis demonstrated severe leukemoid and lymphoid reactions in the 4T1 model with the partial reestablishment of immune responses in the immunocompromised MDA-MB-231-Luc model. Additionally, we discovered β-immunoglobulinemia and increased basal levels of G-CSF correlating with a metastatic switch, with G-CSF also promoting extramedullary hematopoiesis (both models) and causing hepatosplenomegaly (4T1 model). Overall, we believe that the characterization of these preclinical models will foster the development of advanced therapeutic strategies for TNBC treatment, especially for the treatment of patients presenting both, primary tumors and metastatic spread.
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Affiliation(s)
- Juan J. Arroyo‐Crespo
- Polymer Therapeutics LaboratoryCentro de Investigación Príncipe FelipeAv. Eduardo Primo Yúfera 3Valencia, 46012Spain
| | - Ana Armiñán
- Polymer Therapeutics LaboratoryCentro de Investigación Príncipe FelipeAv. Eduardo Primo Yúfera 3Valencia, 46012Spain
| | - David Charbonnier
- Polymer Therapeutics LaboratoryCentro de Investigación Príncipe FelipeAv. Eduardo Primo Yúfera 3Valencia, 46012Spain
- Screening Platform, Centro de Investigación Príncipe FelipeAv. Eduardo Primo Yúfera 3Valencia, 46012Spain
| | - Coralie Deladriere
- Polymer Therapeutics LaboratoryCentro de Investigación Príncipe FelipeAv. Eduardo Primo Yúfera 3Valencia, 46012Spain
| | - Martina Palomino‐Schätzlein
- Joint Research Unit in Clinical MetabolomicsCentro de Investigación Príncipe FelipeAv. Eduardo Primo Yúfera 3Valencia, 46012Spain
| | - Rubén Lamas‐Domingo
- Joint Research Unit in Clinical MetabolomicsCentro de Investigación Príncipe FelipeAv. Eduardo Primo Yúfera 3Valencia, 46012Spain
| | - Jerónimo Forteza
- Unidad Mixta Centro de Investigación Príncipe Felipe‐Instituto Valenciano de PatologíaCentro de Investigación Príncipe FelipeAv. Eduardo Primo Yúfera 3Valencia, 46012Spain
| | - Antonio Pineda‐Lucena
- Joint Research Unit in Clinical MetabolomicsCentro de Investigación Príncipe FelipeAv. Eduardo Primo Yúfera 3Valencia, 46012Spain
- Drug Discovery UnitInstituto de Investigación Sanitaria La FeAvda. Fernando Abril Martorell, 106, 46026ValenciaSpain
| | - María J. Vicent
- Polymer Therapeutics LaboratoryCentro de Investigación Príncipe FelipeAv. Eduardo Primo Yúfera 3Valencia, 46012Spain
- Screening Platform, Centro de Investigación Príncipe FelipeAv. Eduardo Primo Yúfera 3Valencia, 46012Spain
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Dias AS, Almeida CR, Helguero LA, Duarte IF. Metabolic crosstalk in the breast cancer microenvironment. Eur J Cancer 2019; 121:154-171. [PMID: 31581056 DOI: 10.1016/j.ejca.2019.09.002] [Citation(s) in RCA: 107] [Impact Index Per Article: 21.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Accepted: 09/03/2019] [Indexed: 02/08/2023]
Abstract
During tumorigenesis, breast tumour cells undergo metabolic reprogramming, which generally includes enhanced glycolysis, tricarboxylic acid cycle activity, glutaminolysis and fatty acid biosynthesis. However, the extension and functional importance of these metabolic alterations may diverge not only according to breast cancer subtypes, but also depending on the interaction of cancer cells with the complex surrounding microenvironment. This microenvironment comprises a variety of non-cancerous cells, such as immune cells (e.g. macrophages, lymphocytes, natural killer cells), fibroblasts, adipocytes and endothelial cells, together with extracellular matrix components and soluble factors, which influence cancer progression and are predictive of clinical outcome. The continuous interaction between cancer and stromal cells results in metabolic competition and symbiosis, with oncogenic-driven metabolic reprogramming of cancer cells shaping the metabolism of neighbouring cells and vice versa. This review addresses current knowledge on this metabolic crosstalk within the breast tumour microenvironment (TME). Improved understanding of how metabolism in the TME modulates cancer development and evasion of tumour-suppressive mechanisms may provide clues for novel anticancer therapeutics directed to metabolic targets.
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Affiliation(s)
- Ana S Dias
- CICECO - Aveiro Institute of Materials, Department of Chemistry, University of Aveiro, Campus de Santiago, Aveiro, Portugal; iBiMED - Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, Campus de Santiago, Aveiro, Portugal
| | - Catarina R Almeida
- iBiMED - Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, Campus de Santiago, Aveiro, Portugal
| | - Luisa A Helguero
- iBiMED - Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, Campus de Santiago, Aveiro, Portugal
| | - Iola F Duarte
- CICECO - Aveiro Institute of Materials, Department of Chemistry, University of Aveiro, Campus de Santiago, Aveiro, Portugal.
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37
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Kumari S, Malla RR. Recent advances in metabolomics of triple negative breast cancer. Breast J 2019; 26:498-501. [PMID: 31489744 DOI: 10.1111/tbj.13524] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2019] [Revised: 07/09/2019] [Accepted: 07/09/2019] [Indexed: 01/26/2023]
Abstract
Triple-negative Breast Cancer (TNBC) is considered as the most aggressive subtype of breast cancer. Metabolic profiling has a great significance in cancer research due to profound changes in the metabolism of cancer cells. It has been used to investigate the entire set of metabolites and changes associated with it in disease conditions. These changes in the expression levels of metabolites bring functional changes associated with the pharmacological or nutritional intervention. The present minireview presents a brief note on changes associated with TNBC aggressiveness in terms of metabolomics.
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Affiliation(s)
- Seema Kumari
- Cancer Biology Lab, Department of Biochemistry and Bioinformatics, GIS, GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh, India
| | - Rama Rao Malla
- Cancer Biology Lab, Department of Biochemistry and Bioinformatics, GIS, GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh, India
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38
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Chen Z, Li Z, Li H, Jiang Y. Metabolomics: a promising diagnostic and therapeutic implement for breast cancer. Onco Targets Ther 2019; 12:6797-6811. [PMID: 31686838 PMCID: PMC6709037 DOI: 10.2147/ott.s215628] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Accepted: 07/22/2019] [Indexed: 12/24/2022] Open
Abstract
Breast cancer (BC) is the most commonly diagnosed cancer among women and the leading cause of cancer death. Despite the advent of numerous diagnosis and treatment methods in recent years, this heterogeneous disease still presents great challenges in early diagnosis, curative treatments and prognosis monitoring. Thus, finding promising early diagnostic biomarkers and therapeutic targets and approaches is meaningful. Metabolomics, which focuses on the analysis of metabolites that change during metabolism, can reveal even a subtle abnormal change in an individual. In recent decades, the exploration of cancer-related metabolomics has increased. Metabolites can be promising biomarkers for the screening, response evaluation and prognosis of BC. In this review, we summarized the workflow of metabolomics, described metabolite signatures based on molecular subtype as well as reclassification and then discussed the application of metabolomics in the early diagnosis, monitoring and prognosis of BC to offer new insights for clinicians in breast cancer diagnosis and treatment.
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Affiliation(s)
- Zhanghan Chen
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, People's Republic of China
| | - Zehuan Li
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, People's Republic of China
| | - Haoran Li
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, People's Republic of China
| | - Ying Jiang
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, People's Republic of China
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Chong J, Soufan O, Li C, Caraus I, Li S, Bourque G, Wishart DS, Xia J. MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis. Nucleic Acids Res 2019; 46:W486-W494. [PMID: 29762782 PMCID: PMC6030889 DOI: 10.1093/nar/gky310] [Citation(s) in RCA: 2584] [Impact Index Per Article: 516.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Accepted: 04/13/2018] [Indexed: 02/06/2023] Open
Abstract
We present a new update to MetaboAnalyst (version 4.0) for comprehensive metabolomic data analysis, interpretation, and integration with other omics data. Since the last major update in 2015, MetaboAnalyst has continued to evolve based on user feedback and technological advancements in the field. For this year's update, four new key features have been added to MetaboAnalyst 4.0, including: (1) real-time R command tracking and display coupled with the release of a companion MetaboAnalystR package; (2) a MS Peaks to Pathways module for prediction of pathway activity from untargeted mass spectral data using the mummichog algorithm; (3) a Biomarker Meta-analysis module for robust biomarker identification through the combination of multiple metabolomic datasets and (4) a Network Explorer module for integrative analysis of metabolomics, metagenomics, and/or transcriptomics data. The user interface of MetaboAnalyst 4.0 has been reengineered to provide a more modern look and feel, as well as to give more space and flexibility to introduce new functions. The underlying knowledgebases (compound libraries, metabolite sets, and metabolic pathways) have also been updated based on the latest data from the Human Metabolome Database (HMDB). A Docker image of MetaboAnalyst is also available to facilitate download and local installation of MetaboAnalyst. MetaboAnalyst 4.0 is freely available at http://metaboanalyst.ca.
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Affiliation(s)
- Jasmine Chong
- Institute of Parasitology, McGill University, Montreal, Québec, Canada
| | - Othman Soufan
- Institute of Parasitology, McGill University, Montreal, Québec, Canada
| | - Carin Li
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada
| | - Iurie Caraus
- Institute of Parasitology, McGill University, Montreal, Québec, Canada.,Canadian Center for Computational Genomics, McGill University, Montreal, Québec, Canada
| | - Shuzhao Li
- Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Guillaume Bourque
- Canadian Center for Computational Genomics, McGill University, Montreal, Québec, Canada.,Department of Human Genetics, McGill University, Montreal, Québec, Canada
| | - David S Wishart
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada.,Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada
| | - Jianguo Xia
- Institute of Parasitology, McGill University, Montreal, Québec, Canada.,Canadian Center for Computational Genomics, McGill University, Montreal, Québec, Canada.,Department of Animal Science, McGill University, Montreal, Québec, Canada
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40
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Breast Cancer Metabolomics: From Analytical Platforms to Multivariate Data Analysis. A Review. Metabolites 2019; 9:metabo9050102. [PMID: 31121909 PMCID: PMC6572290 DOI: 10.3390/metabo9050102] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 05/13/2019] [Accepted: 05/17/2019] [Indexed: 12/24/2022] Open
Abstract
Cancer is a major health issue worldwide for many years and has been increasing significantly. Among the different types of cancer, breast cancer (BC) remains the leading cause of cancer-related deaths in women being a disease caused by a combination of genetic and environmental factors. Nowadays, the available diagnostic tools have aided in the early detection of BC leading to the improvement of survival rates. However, better detection tools for diagnosis and disease monitoring are still required. In this sense, metabolomic NMR, LC-MS and GC-MS-based approaches have gained attention in this field constituting powerful tools for the identification of potential biomarkers in a variety of clinical fields. In this review we will present the current analytical platforms and their applications to identify metabolites with potential for BC biomarkers based on the main advantages and advances in metabolomics research. Additionally, chemometric methods used in metabolomics will be highlighted.
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Zaki A, Ramadan RA, Moez P, Ghareeb H, Elkarmouty A. Plasma Peptidome Pattern of Breast Cancer Using Magnetic Beads-Based Plasma Fractionation and MALDI-TOF MS: A Case Control Study in Egypt. Asian Pac J Cancer Prev 2019; 20:175-184. [PMID: 30678429 PMCID: PMC6485569 DOI: 10.31557/apjcp.2019.20.1.175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Objective: The present study aimed to determine peptidome patterns in breast cancer (BC). Methods: We analyzed
the plasma proteomic profiling of 80 BC patients and 50 healthy controls, using hydrophobic interaction chromatography
magnetic beads (MB-HIC8) separation followed by Matrix assisted laser desorption ionization/ time of flight mass
spectrometry (MALDI-TOF MS). Results: ClinProTools software identified 92 peaks that differed among the analyzed
groups, 33 peaks were significantly different (P < 0.05). Of those, 22 peaks were up-regulated while 11 peaks were
down-regulated in BC patients compared with the healthy controls. Three peptide ion signatures (m/z 1,570.31, 1,897.4
and 2,568.17) were provided by the Quick Classifier model to discriminate BC patients from healthy control subjects
with 96.4% accuracy. External validation was performed by an independent group and this achieved a sensitivity of
100% and a specificity of 76.9%. Conclusion: MALDI-TOF MS has good analytical performance in distinguishing
BC patients from healthy controls.
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Affiliation(s)
- Ahmad Zaki
- Department of Chemical Pathology, Medical Research Institute, Alexandria University, Egypt.
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42
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Whole Genome Transcriptome Analysis of the Association between Obesity and Triple-Negative Breast Cancer in Caucasian Women. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15112338. [PMID: 30360534 PMCID: PMC6265882 DOI: 10.3390/ijerph15112338] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 10/05/2018] [Accepted: 10/15/2018] [Indexed: 12/19/2022]
Abstract
Background: Triple-negative breast cancer (TNBC) is the most aggressive form of breast cancer, with poor outcomes. The molecular basis of TNBC remains poorly understood. The objective of this exploratory study was to investigate the association between obesity and TNBC in premenopausal and postmenopausal Caucasian women using transcription profiling. Methods: We compared gene expression levels of tumor samples drawn from normal weight, overweight, and obese pre and postmenopausal women diagnosed with TNBC. We performed hierarchical clustering to assess similarity in patterns of gene expression profiles, and conducted network and pathway analysis to identify molecular networks and biological pathways. Results: We discovered gene signatures distinguishing normal weight from obese, normal weight from overweight, and overweight from obese individuals in both premenopausal and postmenopausal women. The analysis revealed molecular networks and biological pathways associating obesity with TNBC. The discovered pathways included the unfolded protein response, endoplasmic reticulum stress, B cell receptor, and autophagy signaling pathways in obese premenopausal women; and the integrin, axonal guidance, ERK/MAPK (extracellular-signal-regulated kinase/mitogen activated protein kinase) and glutathione biosynthesis signaling pathways in obese postmenopausal women. Conclusions: The results suggest that both overweight and obese status are associated with TNBC, highlighting the need for conformation of these results in independent studies.
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Suman S, Sharma RK, Kumar V, Sinha N, Shukla Y. Metabolic fingerprinting in breast cancer stages through 1H NMR spectroscopy-based metabolomic analysis of plasma. J Pharm Biomed Anal 2018; 160:38-45. [PMID: 30059813 DOI: 10.1016/j.jpba.2018.07.024] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Revised: 07/15/2018] [Accepted: 07/16/2018] [Indexed: 12/14/2022]
Abstract
Breast cancer (BC) is one of the most common malignancies among women worldwide, which is indeed associated with metabolic reprogramming. However, BC is a very complex and heterogeneous disease, which can relate with the changes in metabolic profiles during BC progression. Hence, investigating the metabolic alterations during BC stage progression may reveal the deregulated pathways and useful metabolic signatures of BC. To demonstrate the metabolic insights, we opted 1H NMR spectroscopy based metabolomics of blood plasma of early and late stage BC (N = 72) with age and gender matched healthy subjects (N = 50). Further, the metabolic profiles were analyzed to delineate the potential signatures of BC by performing multivariate and nonparametric statistical analysis in early and late stages of BC in comparison with healthy subjects. Sixteen metabolites levels were differentially changed (p < 0.05) in the early and late stages of BC from healthy subjects. Among them, the levels of hydroxybutyrate, lysine, glutamate, glucose, N-acetyl glycoprotein, Lactate were highly distinguished in BC stages and showed a good biomarker potential using receiver-operating curves based diagnostic models. Furthermore, the significant modulation and good diagnostic performances of glutamate, N-acetyl glycoprotein and Lactate in LBC as compared to EBC give their significance in the BC progression. In general, our observations demonstrate that these panels of metabolites may act as vital component of the metabolism of early to late stage BC progression. Our results also open new avenue towards early and late stage BC diagnosis and intervention implying metabolomics approaches.
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Affiliation(s)
- Shankar Suman
- Proteomics and Environmental Carcinogenesis Laboratory, Food, Drug and Chemical Toxicology Group, 31 Vishvigyan Bhawan, CSIR-Indian Institute of Toxicology Research, Mahatma Gandhi Marg, Post Box 80, Lucknow, 226001, India; Academy of Scientific and Innovative Research (AcSIR), CSIR-IITR Campus, Lucknow, India
| | - Raj Kumar Sharma
- Center of Biomedical Research, SGPGIMS-campus, Raibareilly Road, Lucknow, U.P., 226014, India
| | - Vijay Kumar
- Department of Surgical Oncology, King George's Medical University, Chowk, Lucknow, 226003, India
| | - Neeraj Sinha
- Center of Biomedical Research, SGPGIMS-campus, Raibareilly Road, Lucknow, U.P., 226014, India
| | - Yogeshwer Shukla
- Proteomics and Environmental Carcinogenesis Laboratory, Food, Drug and Chemical Toxicology Group, 31 Vishvigyan Bhawan, CSIR-Indian Institute of Toxicology Research, Mahatma Gandhi Marg, Post Box 80, Lucknow, 226001, India; Academy of Scientific and Innovative Research (AcSIR), CSIR-IITR Campus, Lucknow, India.
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McCartney A, Vignoli A, Biganzoli L, Love R, Tenori L, Luchinat C, Di Leo A. Metabolomics in breast cancer: A decade in review. Cancer Treat Rev 2018; 67:88-96. [PMID: 29775779 DOI: 10.1016/j.ctrv.2018.04.012] [Citation(s) in RCA: 74] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Revised: 04/09/2018] [Accepted: 04/10/2018] [Indexed: 12/27/2022]
Abstract
Breast cancer (BC) is a heterogeneous disease which has been characterised and stratified by many platforms such as clinicopathological risk factors, genomic assays, computer generated models, and various "-omic" technologies. Genomic, proteomic and transcriptomic analysis in breast cancer research is well established, and metabolomics, which can be considered a downstream manifestation of the former disciplines, is of growing interest. The past decade has seen significant progress made within the field of clinical metabolomic BC research, with several groups demonstrating results with significant promise in the setting of BC screening and biological characterisation, as well as future potential for prognostic metabolomic biomarkers.
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Affiliation(s)
- Amelia McCartney
- "Sandro Pitigliani" Medical Oncology Department, Hospital of Prato, Istituto Toscano Tumori, Prato, Italy
| | - Alessia Vignoli
- Centre for Magnetic Resonance (CERM), University of Florence, Via Sacconi 6, Sesto Fiorentino 50019, Italy
| | - Laura Biganzoli
- "Sandro Pitigliani" Medical Oncology Department, Hospital of Prato, Istituto Toscano Tumori, Prato, Italy
| | - Richard Love
- Department of Mathematics, Statistics and Computer Science, Marquette University, Milawaukee, WI, USA
| | - Leonardo Tenori
- Centre for Magnetic Resonance (CERM), University of Florence, Via Sacconi 6, Sesto Fiorentino 50019, Italy; Department of Clinical and Experimental Medicine, University of Florence, Largo Brambilla 3, Florence 50100, Italy
| | - Claudio Luchinat
- Centre for Magnetic Resonance (CERM), University of Florence, Via Sacconi 6, Sesto Fiorentino 50019, Italy; Department of Chemistry, University of Florence, Via della Lastruccia 3, Sesto Fiorentino 50019, Italy
| | - Angelo Di Leo
- "Sandro Pitigliani" Medical Oncology Department, Hospital of Prato, Istituto Toscano Tumori, Prato, Italy.
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