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di Meo NA, Lasorsa F, Rutigliano M, Loizzo D, Ferro M, Stella A, Bizzoca C, Vincenti L, Pandolfo SD, Autorino R, Crocetto F, Montanari E, Spilotros M, Battaglia M, Ditonno P, Lucarelli G. Renal Cell Carcinoma as a Metabolic Disease: An Update on Main Pathways, Potential Biomarkers, and Therapeutic Targets. Int J Mol Sci 2022; 23:ijms232214360. [PMID: 36430837 PMCID: PMC9698586 DOI: 10.3390/ijms232214360] [Citation(s) in RCA: 59] [Impact Index Per Article: 29.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 11/14/2022] [Accepted: 11/15/2022] [Indexed: 11/22/2022] Open
Abstract
Clear cell renal cell carcinoma (ccRCC) is the most frequent histological kidney cancer subtype. Over the last decade, significant progress has been made in identifying the genetic and metabolic alterations driving ccRCC development. In particular, an integrated approach using transcriptomics, metabolomics, and lipidomics has led to a better understanding of ccRCC as a metabolic disease. The metabolic profiling of this cancer could help define and predict its behavior in terms of aggressiveness, prognosis, and therapeutic responsiveness, and would be an innovative strategy for choosing the optimal therapy for a specific patient. This review article describes the current state-of-the-art in research on ccRCC metabolic pathways and potential therapeutic applications. In addition, the clinical implication of pharmacometabolomic intervention is analyzed, which represents a new field for novel stage-related and patient-tailored strategies according to the specific susceptibility to new classes of drugs.
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Affiliation(s)
- Nicola Antonio di Meo
- Urology, Andrology and Kidney Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari “Aldo Moro”, 70124 Bari, Italy
| | - Francesco Lasorsa
- Urology, Andrology and Kidney Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari “Aldo Moro”, 70124 Bari, Italy
| | - Monica Rutigliano
- Urology, Andrology and Kidney Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari “Aldo Moro”, 70124 Bari, Italy
| | - Davide Loizzo
- Urology, Andrology and Kidney Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari “Aldo Moro”, 70124 Bari, Italy
| | - Matteo Ferro
- Division of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy
| | - Alessandro Stella
- Laboratory of Human Genetics, Department of Biomedical Sciences and Human Oncology, University of Bari “Aldo Moro”, 70124 Bari, Italy
| | - Cinzia Bizzoca
- Division of General Surgery, Polyclinic Hospital, 70124 Bari, Italy
| | | | | | | | - Felice Crocetto
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, University of Naples “Federico II”, 80131 Naples, Italy
| | - Emanuele Montanari
- Department of Clinical Sciences and Community Health, University of Milan, 20122 Milan, Italy
| | - Marco Spilotros
- Urology, Andrology and Kidney Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari “Aldo Moro”, 70124 Bari, Italy
| | - Michele Battaglia
- Urology, Andrology and Kidney Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari “Aldo Moro”, 70124 Bari, Italy
| | - Pasquale Ditonno
- Urology, Andrology and Kidney Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari “Aldo Moro”, 70124 Bari, Italy
| | - Giuseppe Lucarelli
- Urology, Andrology and Kidney Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari “Aldo Moro”, 70124 Bari, Italy
- Correspondence: or
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Amaro F, Carvalho M, Bastos MDL, Guedes de Pinho P, Pinto J. Pharmacometabolomics Applied to Personalized Medicine in Urological Cancers. Pharmaceuticals (Basel) 2022; 15:295. [PMID: 35337093 PMCID: PMC8952371 DOI: 10.3390/ph15030295] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 02/23/2022] [Accepted: 02/25/2022] [Indexed: 02/06/2023] Open
Abstract
Prostate cancer (PCa), bladder cancer (BCa), and renal cell carcinoma (RCC) are the most common urological cancers, and their incidence has been rising over time. Surgery is the standard treatment for these cancers, but this procedure is only effective when the disease is localized. For metastatic disease, PCa is typically treated with androgen deprivation therapy, while BCa is treated with chemotherapy, and RCC is managed primarily with targeted therapies. However, response rates to these therapeutic options remain unsatisfactory due to the development of resistance and treatment-related toxicity. Thus, the discovery of biomarkers with prognostic and predictive value is needed to stratify patients into different risk groups, minimizing overtreatment and the risk of drug resistance development. Pharmacometabolomics, a branch of metabolomics, is an attractive tool to predict drug response in an individual based on its own metabolic signature, which can be collected before, during, and after drug exposure. Hence, this review focuses on the application of pharmacometabolomic approaches to identify the metabolic responses to hormone therapy, targeted therapy, immunotherapy, and chemotherapy for the most prevalent urological cancers.
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Affiliation(s)
- Filipa Amaro
- Associate Laboratory i4HB—Institute for Health and Bioeconomy, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal; (M.C.); (M.d.L.B.); (P.G.d.P.)
- UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
| | - Márcia Carvalho
- Associate Laboratory i4HB—Institute for Health and Bioeconomy, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal; (M.C.); (M.d.L.B.); (P.G.d.P.)
- UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
- FP-I3ID, FP-ENAS, CEBIMED, University Fernando Pessoa, 4200-150 Porto, Portugal
- Faculty of Health Sciences, University Fernando Pessoa, 4200-150 Porto, Portugal
| | - Maria de Lourdes Bastos
- Associate Laboratory i4HB—Institute for Health and Bioeconomy, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal; (M.C.); (M.d.L.B.); (P.G.d.P.)
- UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
| | - Paula Guedes de Pinho
- Associate Laboratory i4HB—Institute for Health and Bioeconomy, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal; (M.C.); (M.d.L.B.); (P.G.d.P.)
- UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
| | - Joana Pinto
- Associate Laboratory i4HB—Institute for Health and Bioeconomy, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal; (M.C.); (M.d.L.B.); (P.G.d.P.)
- UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
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3
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Rattner JI, Kopciuk KA, Vogel HJ, Tang PA, Shapiro JD, Tu D, Jonker DJ, Siu LL, O'Callaghan CJ, Bathe OF. Early detection of treatment futility in patients with metastatic colorectal cancer. Oncotarget 2022; 13:61-72. [PMID: 35028011 PMCID: PMC8746015 DOI: 10.18632/oncotarget.28165] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 12/10/2021] [Indexed: 11/25/2022] Open
Abstract
PURPOSE Chemotherapy options for treating CRC have rapidly expanded in recent years, and few have predictive biomarkers. Oncologists are challenged with evidence-based selection of treatments, and response is evaluated retrospectively based on serial imaging beginning after 2-3 months. As a result, cumulative toxicities may appear in patients who will not benefit. Early recognition of non-benefit would reduce cumulative toxicities. Our objective was to determine treatment-related changes in the circulating metabolome corresponding to treatment futility. METHODS Metabolomic studies were performed on serial plasma samples from patients with CRC in a randomized controlled trial of cetuximab vs. cetuximab + brivanib (N = 188). GC-MS quantified named 94 metabolites and concentrations were evaluated at baseline, Weeks 1, 4 and 12 after treatment initiation. In a discovery cohort (N = 68), a model distinguishing changes in metabolites associated with radiographic disease progression and response was generated using OPLS-DA. A cohort of 120 patients was used for validation of the model. RESULTS By one week after treatment, a stable model of 21 metabolites could distinguish between progression and partial response (R2Y = 0.859; Q2Y = 0.605; P = 5e-4). In the validation cohort, patients with the biomarker had a significantly shorter OS (P < 0.0001). In a separate cohort of patients with HCC on axitinib, appearance of the biomarker also signified a shorter PFS (1.7 months vs. 9.2 months, P = 0.001). CONCLUSION We have identified changes in the metabolome that appear within 1 week of starting treatment associated with treatment futility. The novel approach described is applicable to future efforts in developing a biomarker for early assessment of treatment efficacy.
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Affiliation(s)
- Jodi I Rattner
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Karen A Kopciuk
- Department of Mathematics and Statistics, Faculty of Science, University of Calgary, Calgary, Canada
| | - Hans J Vogel
- Department Biological Sciences, Faculty of Science, University of Calgary, Calgary, Canada
| | - Patricia A Tang
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, Canada.,Department of Surgery and Oncology, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Jeremy D Shapiro
- Department of Medical Oncology, Monash University, Melbourne, Victoria, Australia
| | - Dongsheng Tu
- Department of Community Health and Epidemiology, Queens University, Kingston, Canada
| | - Derek J Jonker
- Division of Medical Oncology, Ottawa Hospital Cancer Centre, Ottawa, Canada
| | - Lillian L Siu
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, Canada
| | - Chris J O'Callaghan
- Department of Community Health and Epidemiology, Queens University, Kingston, Canada
| | - Oliver F Bathe
- Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, Calgary, Canada.,Department of Surgery and Oncology, Cumming School of Medicine, University of Calgary, Calgary, Canada
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Boguszewicz Ł, Bieleń A, Jarczewski JD, Ciszek M, Skorupa A, Składowski K, Sokół M. Molecular response to induction chemotherapy and its correlation with treatment outcome in head and neck cancer patients by means of NMR-based metabolomics. BMC Cancer 2021; 21:410. [PMID: 33858370 PMCID: PMC8048324 DOI: 10.1186/s12885-021-08137-4] [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: 10/27/2020] [Accepted: 04/02/2021] [Indexed: 12/16/2022] Open
Abstract
Background The aim of this prospective study is to identify the biomarkers associated with the effects of induction chemotherapy (iCHT) in terms of the favorable/weaker response to the treatment in locally advanced head and neck squamous cells carcinomas (LA-HNSCC). Methods The studied group consisted of 53 LA-HNSCC patients treated with iCHT. The treatment tolerance was measured by the Common Terminology Criteria for Adverse Events (CTCAE). The response to the treatment was evaluated by the clinical, fiberoptic and radiological examinations made before and after iCHT (the TNM Classification of Malignant Tumors was used for classifying the extent of cancer spread). Proton nuclear magnetic resonance (1H NMR) serum spectra of the samples collected before and after iCHT were acquired with a 400 MHz spectrometer and analyzed using the multivariate and univariate statistical methods. Results The molecular response to iCHT involves an increase of the serum lipids which is accompanied by the simultaneous decrease of alanine, glucose and N-acetyl-glycoprotein (NAG). Furthermore, in males, the iCHT induced changes in the lipid signals and NAG significantly correlate with the regression of the primary tumor. The OPLS-DA multivariate model identified two subgroups of the patients with a weaker metabolic and clinical response. The first one consisted of the patients with a significantly lower initial nodal stage, the second one showed no differences in the initial clinical and metabolic statuses. Conclusions The NMR-based metabolomic study of the serum spectra revealed that iCHT induces the marked changes in the LA-HNSCC patients’ metabolic profiles and makes it possible to stratify the patients according to their response to iCHT. These effects are sex dependent. Further studies on a larger scale accounting for sex and the clinical and metabolic factors are warranted. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-021-08137-4.
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Affiliation(s)
- Łukasz Boguszewicz
- Department of Medical Physics, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Warszawa, Poland.
| | - Agata Bieleń
- 1st Radiation and Clinical Oncology Department, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Warszawa, Poland
| | - Jarosław Dawid Jarczewski
- Radiology and Diagnostic Imaging Department, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Warszawa, Poland
| | - Mateusz Ciszek
- Department of Medical Physics, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Warszawa, Poland
| | - Agnieszka Skorupa
- Department of Medical Physics, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Warszawa, Poland
| | - Krzysztof Składowski
- 1st Radiation and Clinical Oncology Department, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Warszawa, Poland
| | - Maria Sokół
- Department of Medical Physics, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Warszawa, Poland
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5
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Nizioł J, Ossoliński K, Tripet BP, Copié V, Arendowski A, Ruman T. Nuclear magnetic resonance and surface-assisted laser desorption/ionization mass spectrometry-based serum metabolomics of kidney cancer. Anal Bioanal Chem 2020; 412:5827-5841. [PMID: 32661677 PMCID: PMC7413895 DOI: 10.1007/s00216-020-02807-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 06/19/2020] [Accepted: 07/06/2020] [Indexed: 12/24/2022]
Abstract
Kidney cancer is one of the most frequently diagnosed and the most lethal urinary cancer. Despite all the efforts made, no serum-specific biomarker is currently used in the clinical management of patients with this tumor. In this study, comprehensive high-resolution proton nuclear magnetic resonance spectroscopy (1H NMR) and silver-109 nanoparticle-enhanced steel target laser desorption/ionization mass spectrometry (109AgNPET LDI MS) approaches were conducted, in conjunction with multivariate data analysis, to discriminate the global serum metabolic profiles of kidney cancer (n = 50) and healthy volunteers (n = 49). Eight potential biomarkers have been identified using 1H NMR metabolomics and nine mass spectral features which differed significantly (p < 0.05) between kidney cancer patients and healthy volunteers, as observed by LDI MS. A partial least squares discriminant analysis (OPLS-DA) model generated from metabolic profiles obtained by both analytical approaches could robustly discriminate normal from cancerous samples (Q2 > 0.7), area under the receiver operative characteristic curve (ROC) AUC > 0.96. Compared with healthy human serum, kidney cancer serum had higher levels of glucose and lower levels of choline, glycerol, glycine, lactate, leucine, myo-inositol, and 1-methylhistidine. Analysis of differences between these metabolite levels in patients with different types and grades of kidney cancer was undertaken. Our results, derived from the combination of LDI MS and 1H NMR methods, suggest that serum biomarkers identified herein appeared to have great potential for use in clinical prognosis and/or diagnosis of kidney cancer. Graphical abstract.
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Affiliation(s)
- Joanna Nizioł
- Faculty of Chemistry, Rzeszów University of Technology, 6 Powstańców Warszawy Ave, 35-959, Rzeszów, Poland.
| | - Krzysztof Ossoliński
- Department of Urology, John Paul II Hospital, Grunwaldzka 4 St, 36-100, Kolbuszowa, Poland
| | - Brian P Tripet
- The Department of Chemistry and Biochemistry, Montana State University, Bozeman, MT, 59717, USA
| | - Valérie Copié
- The Department of Chemistry and Biochemistry, Montana State University, Bozeman, MT, 59717, USA
| | - Adrian Arendowski
- Faculty of Chemistry, Rzeszów University of Technology, 6 Powstańców Warszawy Ave, 35-959, Rzeszów, Poland
| | - Tomasz Ruman
- Faculty of Chemistry, Rzeszów University of Technology, 6 Powstańców Warszawy Ave, 35-959, Rzeszów, Poland
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Systemic Effects of Radiotherapy and Concurrent Chemo-Radiotherapy in Head and Neck Cancer Patients-Comparison of Serum Metabolome Profiles. Metabolites 2020; 10:metabo10020060. [PMID: 32046123 PMCID: PMC7074210 DOI: 10.3390/metabo10020060] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 02/01/2020] [Accepted: 02/05/2020] [Indexed: 12/22/2022] Open
Abstract
Anticancer treatment induces systemic molecular changes that could be detected at the level of biofluids. Understanding how human metabolism is influenced by these treatments is crucial to predict the individual response and adjust personalized therapies. Here, we aimed to compare profiles of metabolites in serum of head and neck cancer patients treated with concurrent chemo-radiotherapy, radiotherapy alone, or induction chemotherapy. Serum samples were analyzed by a targeted quantitative approach using combined direct flow injection and liquid chromatography coupled to tandem mass spectrometry, which allowed simultaneous quantification of 149 metabolites. There were 45 metabolites whose levels were significantly changed between pretreatment and within- or post-treatment serum samples, including 38 phospholipids. Concurrent chemo-radiotherapy induced faster and stronger effects than radiotherapy alone. On the other hand, chemotherapy alone did not result in significant changes. The decreased level of total phospholipids was the most apparent effect observed during the first step of the treatment. This corresponded to the loss of patients’ body mass, yet no correlation between both parameters was observed for individual patients. We concluded that different molecular changes were measured at the level of serum metabolome in response to different treatment modalities.
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Gupta A, Nath K, Bansal N, Kumar M. Role of metabolomics-derived biomarkers to identify renal cell carcinoma: a comprehensive perspective of the past ten years and advancements. Expert Rev Mol Diagn 2019; 20:5-18. [DOI: 10.1080/14737159.2020.1704259] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- Ashish Gupta
- Centre of Biomedical Research, SGPGIMS Campus, Lucknow, India
| | - Kavindra Nath
- Department of Radiology, University of Pennsylvania, Pheladelphia, PA, USA
| | - Navneeta Bansal
- Department of Urology, King George’s Medical University, Lucknow, India
| | - Manoj Kumar
- Department of Urology, King George’s Medical University, Lucknow, India
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8
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Debik J, Euceda LR, Lundgren S, Gythfeldt HVDL, Garred Ø, Borgen E, Engebraaten O, Bathen TF, Giskeødegård GF. Assessing Treatment Response and Prognosis by Serum and Tissue Metabolomics in Breast Cancer Patients. J Proteome Res 2019; 18:3649-3660. [DOI: 10.1021/acs.jproteome.9b00316] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Affiliation(s)
| | | | - Steinar Lundgren
- Department of Oncology, St. Olav’s University Hospital, 7006 Trondheim, Norway
| | | | - Øystein Garred
- Department of Tumor Biology, Oslo University Hospital, 0424 Oslo, Norway
| | - Elin Borgen
- Department of Tumor Biology, Oslo University Hospital, 0424 Oslo, Norway
| | - Olav Engebraaten
- Department of Oncology, Oslo University Hospital, 0424 Oslo, Norway
- Department of Tumor Biology, Oslo University Hospital, 0424 Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0318 Oslo, Norway
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Forsgård RA, Marrachelli VG, Lindén J, Frias R, Collado MC, Korpela R, Monleon D, Spillmann T, Österlund P. Two-Week Aflibercept or Erlotinib Administration Does Not Induce Changes in Intestinal Morphology in Male Sprague-Dawley Rats But Aflibercept Affects Serum and Urine Metabolic Profiles. Transl Oncol 2019; 12:1122-1130. [PMID: 31176994 PMCID: PMC6558216 DOI: 10.1016/j.tranon.2019.04.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Revised: 04/27/2019] [Accepted: 04/28/2019] [Indexed: 01/03/2023] Open
Abstract
Gastrointestinal toxicity is a frequently observed adverse event during cancer treatment with traditional chemotherapeutics. Currently, traditional chemotherapeutics are often combined with targeted biologic agents. These biologics, however, possess a distinct toxicity profile, and they may also exacerbate the adverse effects of traditional chemotherapeutics. In this study, we aimed to characterize the gastrointestinal and metabolic changes after a 2-week treatment period with aflibercept, an antiangiogenic VEGFR decoy, and with erlotinib, a tyrosine-kinase inhibitor. Male rats were treated either with aflibercept or erlotinib for 2 weeks. During the 2-week treatment period, the animals in the aflibercept group received two subcutaneous doses of 25 mg/kg aflibercept. The erlotinib group got 10 mg/kg of erlotinib by oral gavage every other day. The control groups were treated similarly but received either saline injections or oral gavage of water. Intestinal toxicity was assessed by measuring intestinal permeability and by histological analyses of intestinal tissues. Metabolic changes were measured with 1H nuclear magnetic resonance in serum and urine. Neither aflibercept nor erlotinib induced changes in intestinal permeability or intestinal tissue morphology. However, aflibercept treatment resulted in stunted body weight gain and altered choline, amino acid, and lipid metabolism. Two-week treatment with aflibercept or erlotinib alone does not induce observable changes in gastrointestinal morphology and function. However, observed aflibercept-treatment related metabolic changes suggest alterations in intestinal microbiota, nutrient intake, and adipose tissue function. The metabolic changes are also interesting in respect to the systemic effects of aflibercept and their possible associations with adverse events caused by aflibercept administration.
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Affiliation(s)
- Richard A Forsgård
- Pharmacology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
| | - Vannina G Marrachelli
- Health research Institute INCLIVA, Metabolomics and Molecular Imaging Lab, Valencia, Spain; Department of Physiology, Faculty of Medicine, University of Valencia, Valencia, Spain.
| | - Jere Lindén
- FCLAP, Department of Veterinary Biosciences, Faculty of Veterinary Medicine, University of Helsinki, Finland.
| | - Rafael Frias
- Comparative Medicine, Karolinska Institutet, Stockholm, Sweden.
| | - Maria Carmen Collado
- Institute of Agrochemistry and Food Technology, National Research Council (IATA-CSIC), Valencia, Spain.
| | - Riitta Korpela
- Pharmacology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
| | - Daniel Monleon
- Health research Institute INCLIVA, Metabolomics and Molecular Imaging Lab, Valencia, Spain.
| | - Thomas Spillmann
- Department of Equine and Small Animal Medicine, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland.
| | - Pia Österlund
- Department of Oncology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Department of Oncology, Tampere University Hospital, Tampere, Finland.
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10
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Amin S, Rattner J, Keramati MR, Farshidfar F, McNamara MG, Knox JJ, Kopciuk K, Vogel HJ, Bathe OF. A strategy for early detection of response to chemotherapy drugs based on treatment-related changes in the metabolome. PLoS One 2019; 14:e0213942. [PMID: 30939138 PMCID: PMC6445409 DOI: 10.1371/journal.pone.0213942] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2018] [Accepted: 02/22/2019] [Indexed: 12/25/2022] Open
Abstract
We describe a biomarker-based approach to delivering chemotherapy that entails monitoring treatment changes in the circulating metabolome that reflect efficacy. In-vitro, multiple tumor cell lines were exposed to numerous chemotherapeutics. Supernatants were collected at baseline and 72 hours post treatment. MTT assays were used to quantify growth inhibition. Clinical samples were derived from a phase II clinical trial of second-line axitinib in patients with advanced hepatocellular carcinoma. Sera were collected at baseline and 2–4 weeks after treatment initiation. Response to therapy was estimated by CT scan at 8 weeks. Samples were analyzed by gas chromatography-mass spectrometry to identify metabolomic changes associated with response. In vitro, we found drug-specific and generalizable patterns of change in the extracellular metabolome accompany growth inhibition. A cell death signature was also identified. This approach was also applied to clinical samples. While the in vitro signatures were detectable in vivo, a more robust signal was identified clinically that appeared within 4 weeks of administering drug that distinguished individuals with a treatment response. These changes were extinguished as tumor growth resumed. Serial monitoring of the metabolome during chemotherapy is a means to follow treatment efficacy and emergence of resistance, informing the oncologist whether to modify treatment.
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Affiliation(s)
- Shahil Amin
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, Canada
| | - Jodi Rattner
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, Canada
| | - Mohammad Reza Keramati
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, Canada
- Department of Surgery, Tehran University of Medical Sciences, Tehran, Iran
| | - Farshad Farshidfar
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, Canada
| | - Mairéad G. McNamara
- Department of Medical Oncology, The Christie NHS Foundation Trust and Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom
| | - Jennifer J. Knox
- Department of Oncology, Princess Margaret Cancer Centre and University of Toronto, Toronto, Canada
| | - Karen Kopciuk
- Department of Mathematics and Biostatistics, University of Calgary, Calgary, Canada
| | - Hans J. Vogel
- Department of Biological Sciences, University of Calgary, Calgary, Canada
| | - Oliver F. Bathe
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, Canada
- Department of Surgery, University of Calgary, Calgary, Canada
- Department of Oncology, University of Calgary, Calgary, Canada
- * E-mail:
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11
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Yang B, Liao GQ, Wen XF, Chen WH, Cheng S, Stolzenburg JU, Ganzer R, Neuhaus J. Nuclear magnetic resonance spectroscopy as a new approach for improvement of early diagnosis and risk stratification of prostate cancer. J Zhejiang Univ Sci B 2018; 18:921-933. [PMID: 29119730 DOI: 10.1631/jzus.b1600441] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Prostate cancer (PCa) is the second most common male cancer worldwide and the fifth leading cause of death from cancer in men. Early detection and risk stratification is the most effective way to improve the survival of PCa patients. Current PCa biomarkers lack sufficient sensitivity and specificity to cancer. Metabolite biomarkers are evolving as a new diagnostic tool. This review is aimed to evaluate the potential of metabolite biomarkers for early detection, risk assessment, and monitoring of PCa. Of the 154 identified publications, 27 and 38 were original papers on urine and serum metabolomics, respectively. Nuclear magnetic resonance (NMR) is a promising method for measuring concentrations of metabolites in complex samples with good reproducibility, high sensitivity, and simple sample processing. Especially urine-based NMR metabolomics has the potential to be a cost-efficient method for the early detection of PCa, risk stratification, and monitoring treatment efficacy.
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Affiliation(s)
- Bo Yang
- Department of Urology, Zhoupu Hospital, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
| | - Guo-Qiang Liao
- Department of Urology, Zhoupu Hospital, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
| | - Xiao-Fei Wen
- Department of Urology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
| | - Wei-Hua Chen
- Department of Urology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
| | - Sheng Cheng
- Department of Urology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, China
| | - Jens-Uwe Stolzenburg
- Department of Urology, University Hospital of Leipzig, Liebigstraße 20, 04103 Leipzig, Germany
| | - Roman Ganzer
- Department of Urology, University Hospital of Leipzig, Liebigstraße 20, 04103 Leipzig, Germany
| | - Jochen Neuhaus
- Department of Urology, Zhoupu Hospital, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China.,Division of Urology, Research Laboratory, University of Leipzig, Liebigstraße 19, 04103 Leipzig, Germany
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12
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Giskeødegård GF, Madssen TS, Euceda LR, Tessem MB, Moestue SA, Bathen TF. NMR-based metabolomics of biofluids in cancer. NMR IN BIOMEDICINE 2018; 32:e3927. [PMID: 29672973 DOI: 10.1002/nbm.3927] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Revised: 02/13/2018] [Accepted: 03/07/2018] [Indexed: 06/08/2023]
Abstract
This review describes the current status of NMR-based metabolomics of biofluids with respect to cancer risk assessment, detection, disease characterization, prognosis, and treatment monitoring. While the metabolism of cancer cells is altered compared with that of non-proliferating cells, the metabolome of blood and urine reflects the entire organism. We conclude that many studies show impressive associations between biofluid metabolomics and cancer progression, but translation to clinical practice is currently hindered by lack of validation, difficulties in biological interpretation, and non-standardized analytical procedures.
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Affiliation(s)
- Guro F Giskeødegård
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology-NTNU, Trondheim, Norway
| | - Torfinn S Madssen
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology-NTNU, Trondheim, Norway
| | - Leslie R Euceda
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology-NTNU, Trondheim, Norway
| | - May-Britt Tessem
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology-NTNU, Trondheim, Norway
| | - Siver A Moestue
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology-NTNU, Trondheim, Norway
- Department of Health Science, Nord University, Bodø, Norway
| | - Tone F Bathen
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology-NTNU, Trondheim, Norway
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13
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Rattner J, Bathe OF. Monitoring for Response to Antineoplastic Drugs: The Potential of a Metabolomic Approach. Metabolites 2017; 7:metabo7040060. [PMID: 29144383 PMCID: PMC5746740 DOI: 10.3390/metabo7040060] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2017] [Revised: 10/09/2017] [Accepted: 11/13/2017] [Indexed: 12/20/2022] Open
Abstract
For most cancers, chemotherapeutic options are rapidly expanding, providing the oncologist with substantial choices. Therefore, there is a growing need to select the best systemic therapy, for any individual, that effectively halts tumor progression with minimal toxicity. Having the capability to predict benefit and to anticipate toxicity would be ideal, but remains elusive at this time. An alternative approach is an adaptive approach that involves close observation for treatment response and emergence of resistance. Currently, response to systemic therapy is estimated using radiographic tests. Unfortunately, radiographic estimates of response are imperfect and radiographic signs of response can be delayed. This is particularly problematic for targeted agents, as tumor shrinkage is often not apparent with these drugs. As a result, patients are exposed to prolonged courses of toxic drugs that may ultimately be found to be ineffective. A biomarker-based adaptive strategy that involves the serial analysis of the metabolome is attractive. The metabolome changes rapidly with changes in physiology. Changes in the circulating metabolome associated with various antineoplastic agents have been described, but further work will be required to understand what changes signify clinical benefit. We present an investigative approach for the discovery and validation of metabolomic response biomarkers, which consists of serial analysis of the metabolome and linkage of changes in the metabolome to measurable therapeutic benefit. Potential pitfalls in the development of metabolomic biomarkers of response and loss of response are reviewed.
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Affiliation(s)
- Jodi Rattner
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, AB T2N 4N2, Canada.
| | - Oliver F Bathe
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, AB T2N 4N2, Canada.
- Department of Surgery, Tom Baker Cancer Center, University of Calgary, 1331 29th St NW, Calgary, AB T2N 4N2, Canada.
- Department of Oncology, Tom Baker Cancer Center, University of Calgary, 1331 29th St NW, Calgary, AB T2N 4N2, Canada.
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14
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Puchades-Carrasco L, Pineda-Lucena A. Metabolomics Applications in Precision Medicine: An Oncological Perspective. Curr Top Med Chem 2017; 17:2740-2751. [PMID: 28685691 PMCID: PMC5652075 DOI: 10.2174/1568026617666170707120034] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2016] [Revised: 04/03/2017] [Accepted: 04/11/2017] [Indexed: 12/17/2022]
Abstract
Nowadays, cancer therapy remains limited by the conventional one-size-fits-all approach. In this context, treatment decisions are based on the clinical stage of disease but fail to ascertain the individual´s underlying biology and its role in driving malignancy. The identification of better therapies for cancer treatment is thus limited by the lack of sufficient data regarding the characterization of specific biochemical signatures associated with each particular cancer patient or group of patients. Metabolomics approaches promise a better understanding of cancer, a disease characterized by significant alterations in bioenergetic metabolism, by identifying changes in the pattern of metabolite expression in addition to changes in the concentration of individual metabolites as well as alterations in biochemical pathways. These approaches hold the potential of identifying novel biomarkers with different clinical applications, including the development of more specific diagnostic methods based on the characterization of metabolic subtypes, the monitoring of currently used cancer therapeutics to evaluate the response and the prognostic outcome with a given therapy, and the evaluation of the mechanisms involved in disease relapse and drug resistance. This review discusses metabolomics applications in different oncological processes underlining the potential of this omics approach to further advance the implementation of precision medicine in the oncology area.
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Affiliation(s)
- Leonor Puchades-Carrasco
- Joint Research Unit in Clinical Metabolomics, Centro de Investigación Príncipe Felipe / Instituto de Investigación Sanitaria La Fe, Valencia. Spain
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15
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Jobard E, Trédan O, Bachelot T, Vigneron AM, Aït-Oukhatar CM, Arnedos M, Rios M, Bonneterre J, Diéras V, Jimenez M, Merlin JL, Campone M, Elena-Herrmann B. Longitudinal serum metabolomics evaluation of trastuzumab and everolimus combination as pre-operative treatment for HER-2 positive breast cancer patients. Oncotarget 2017; 8:83570-83584. [PMID: 29137365 PMCID: PMC5663537 DOI: 10.18632/oncotarget.18784] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2017] [Accepted: 05/23/2017] [Indexed: 12/11/2022] Open
Abstract
The mammalian target of rapamycin complex 1 (mTORC1) is an attractive target for HER-2 positive breast cancer therapy because of its key role in protein translation regulation, cell growth and metabolism. We present here a metabolomic investigation exploring the impact of mTOR inhibition on serum metabolic profiles from patients with non-metastatic breast cancer overexpressing HER-2. Baseline, treatment-related and post-treatment serum samples were analyzed for 79 patients participating in the French clinical trial RADHER, in which randomized patients with HER-2 positive breast cancer received either trastuzumab alone (arm T) or a trastuzumab and everolimus combination (arm T+E). Longitudinal series of NMR serum metabolic profiles were exploited to investigate treatment effects on the patients metabolism over time, in both group. Trastuzumab and everolimus combination induces faster changes in patients metabolism than trastuzumab alone, visible after only one week of treatment as well as a residual effect detectable up to three weeks after ending the treatment. These metabolic fingerprints highlight the involvement of several metabolic pathways reflecting a systemic effect, particularly on the liver and visceral fat. Comparison of serum metabolic profiles between the two arms shows that everolimus, an mTORC1 inhibitor, is responsible for host metabolism modifications observed in arm T+E. In HER-2 positive breast cancer, our metabolomic approach confirms a fast and persistent host metabolism modification caused by mTOR inhibition.
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Affiliation(s)
- Elodie Jobard
- Université de Lyon, Institut des Sciences Analytiques, UMR 5280, CNRS, Université Lyon 1, ENS de Lyon, Villeurbanne, France.,Université de Lyon, Centre Léon Bérard, Département d'oncologie médicale, Lyon, France
| | - Olivier Trédan
- Université de Lyon, Centre Léon Bérard, Département d'oncologie médicale, Lyon, France
| | - Thomas Bachelot
- Université de Lyon, Centre Léon Bérard, Département d'oncologie médicale, Lyon, France
| | - Arnaud M Vigneron
- Université de Lyon, Centre de Cancérologie de Lyon, UMR Inserm 1052 CNRS 5286, Centre Léon Bérard, Lyon, France
| | | | - Monica Arnedos
- Department of Medicine, Gustave Roussy, Villejuif, France
| | - Maria Rios
- Department of Medical Oncology, Centre Alexis Vautrin, Vandoeuvre-les-Nancy, France
| | | | | | | | - Jean-Louis Merlin
- CNRS UMR7039 CRAN, Université de Lorraine, Vandoeuvre-les-Nancy, France.,Department of Biopathology Unit, Institut de Cancérologie de Lorraine, Vandoeuvre-Les-Nancy, France
| | - Mario Campone
- Institut de Cancérologie de l'Ouest, Centre René Gauducheau, Saint-Herblain, France
| | - Bénédicte Elena-Herrmann
- Université de Lyon, Institut des Sciences Analytiques, UMR 5280, CNRS, Université Lyon 1, ENS de Lyon, Villeurbanne, France
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16
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Jobard E, Trédan O, Postoly D, André F, Martin AL, Elena-Herrmann B, Boyault S. A Systematic Evaluation of Blood Serum and Plasma Pre-Analytics for Metabolomics Cohort Studies. Int J Mol Sci 2016; 17:ijms17122035. [PMID: 27929400 PMCID: PMC5187835 DOI: 10.3390/ijms17122035] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Revised: 11/14/2016] [Accepted: 11/29/2016] [Indexed: 12/11/2022] Open
Abstract
The recent thriving development of biobanks and associated high-throughput phenotyping studies requires the elaboration of large-scale approaches for monitoring biological sample quality and compliance with standard protocols. We present a metabolomic investigation of human blood samples that delineates pitfalls and guidelines for the collection, storage and handling procedures for serum and plasma. A series of eight pre-processing technical parameters is systematically investigated along variable ranges commonly encountered across clinical studies. While metabolic fingerprints, as assessed by nuclear magnetic resonance, are not significantly affected by altered centrifugation parameters or delays between sample pre-processing (blood centrifugation) and storage, our metabolomic investigation highlights that both the delay and storage temperature between blood draw and centrifugation are the primary parameters impacting serum and plasma metabolic profiles. Storing the blood drawn at 4 °C is shown to be a reliable routine to confine variability associated with idle time prior to sample pre-processing. Based on their fine sensitivity to pre-analytical parameters and protocol variations, metabolic fingerprints could be exploited as valuable ways to determine compliance with standard procedures and quality assessment of blood samples within large multi-omic clinical and translational cohort studies.
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Affiliation(s)
- Elodie Jobard
- Univ Lyon, CNRS, Université Claude Bernard Lyon 1, ENS de Lyon, Institut des Sciences Analytiques UMR 5280, 5 rue de la Doua, F-69100 Villeurbanne, France.
- Centre Léon Bérard, Département de Recherche Translationnelle et de l'Innovation, 28 rue Laënnec, 69373 Lyon, CEDEX 08, France.
| | - Olivier Trédan
- Centre Léon Bérard, Département d'oncologie Médicale, 28 rue Laënnec, 69373 Lyon, CEDEX 08, France.
| | - Déborah Postoly
- Centre Léon Bérard, Département de Recherche Translationnelle et de l'Innovation, Génomique des Cancers, 28 rue Laënnec, 69373 Lyon, CEDEX 08, France.
| | - Fabrice André
- Department of Medical Oncology, Gustave Roussy, Université Paris-Saclay, 94805 Villejuif, France.
| | | | - Bénédicte Elena-Herrmann
- Univ Lyon, CNRS, Université Claude Bernard Lyon 1, ENS de Lyon, Institut des Sciences Analytiques UMR 5280, 5 rue de la Doua, F-69100 Villeurbanne, France.
| | - Sandrine Boyault
- Centre Léon Bérard, Département de Recherche Translationnelle et de l'Innovation, Génomique des Cancers, 28 rue Laënnec, 69373 Lyon, CEDEX 08, France.
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17
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Yuan ZX, Mo J, Zhao G, Shu G, Fu HL, Zhao W. Targeting Strategies for Renal Cell Carcinoma: From Renal Cancer Cells to Renal Cancer Stem Cells. Front Pharmacol 2016; 7:423. [PMID: 27891093 PMCID: PMC5103413 DOI: 10.3389/fphar.2016.00423] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Accepted: 10/25/2016] [Indexed: 12/14/2022] Open
Abstract
Renal cell carcinoma (RCC) is a common form of urologic tumor that originates from the highly heterogeneous epithelium of renal tubules. Over the last decade, targeting therapies to renal cancer cells have transformed clinical care for RCC. Recently, it was proposed that renal cancer stem cells (CSCs) isolated from renal carcinomas were responsible for driving tumor growth and resistance to conventional chemotherapy and radiotherapy, according to the theory of CSCs; this has provided the rationale for therapies targeting this aggressive cell population. Precise identification of renal CSC populations and the complete cell hierarchy will accurately inform characterization of disease subtypes. This will ultimately contribute to more personalized and targeted therapies. Here, we summarize potential targeting strategies for renal cancer cells and renal CSCs, including tyrosine kinase inhibitors, mammalian target of rapamycin inhibitors (mTOR), interleukins, CSC marker inhibitors, bone morphogenetic protein-2, antibody drug conjugates, and nanomedicine. In conclusion, targeting therapies for RCC represent new directions for exploration and clinical investigation and they plant a seed of hope for advanced clinical care.
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Affiliation(s)
- Zhi-Xiang Yuan
- Department of Pharmacy, College of Veterinary Medicine, Sichuan Agricultural University Chengdu, China
| | - Jingxin Mo
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen UniversityGuangzhou, China; Department of Histology and Embryology, Zhongshan School of Medicine, Sun Yat-sen UniversityGuangzhou, China
| | - Guixian Zhao
- Department of Pharmacy, College of Veterinary Medicine, Sichuan Agricultural University Chengdu, China
| | - Gang Shu
- Department of Pharmacy, College of Veterinary Medicine, Sichuan Agricultural University Chengdu, China
| | - Hua-Lin Fu
- Department of Pharmacy, College of Veterinary Medicine, Sichuan Agricultural University Chengdu, China
| | - Wei Zhao
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen UniversityGuangzhou, China; Department of Histology and Embryology, Zhongshan School of Medicine, Sun Yat-sen UniversityGuangzhou, China
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18
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Armitage EG, Southam AD. Monitoring cancer prognosis, diagnosis and treatment efficacy using metabolomics and lipidomics. Metabolomics 2016; 12:146. [PMID: 27616976 PMCID: PMC4987388 DOI: 10.1007/s11306-016-1093-7] [Citation(s) in RCA: 81] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2016] [Accepted: 08/02/2016] [Indexed: 02/06/2023]
Abstract
INTRODUCTION Cellular metabolism is altered during cancer initiation and progression, which allows cancer cells to increase anabolic synthesis, avoid apoptosis and adapt to low nutrient and oxygen availability. The metabolic nature of cancer enables patient cancer status to be monitored by metabolomics and lipidomics. Additionally, monitoring metabolic status of patients or biological models can be used to greater understand the action of anticancer therapeutics. OBJECTIVES Discuss how metabolomics and lipidomics can be used to (i) identify metabolic biomarkers of cancer and (ii) understand the mechanism-of-action of anticancer therapies. Discuss considerations that can maximize the clinical value of metabolic cancer biomarkers including case-control, prognostic and longitudinal study designs. METHODS A literature search of the current relevant primary research was performed. RESULTS Metabolomics and lipidomics can identify metabolic signatures that associate with cancer diagnosis, prognosis and disease progression. Discriminatory metabolites were most commonly linked to lipid or energy metabolism. Case-control studies outnumbered prognostic and longitudinal approaches. Prognostic studies were able to correlate metabolic features with future cancer risk, whereas longitudinal studies were most effective for studying cancer progression. Metabolomics and lipidomics can help to understand the mechanism-of-action of anticancer therapeutics and mechanisms of drug resistance. CONCLUSION Metabolomics and lipidomics can be used to identify biomarkers associated with cancer and to better understand anticancer therapies.
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Affiliation(s)
- Emily G. Armitage
- Centre for Metabolomics and Bioanalysis (CEMBIO), Faculty of Pharmacy, Universidad CEU San Pablo, Campus Monteprincipe, Boadilla del Monte, 28668 Madrid, Spain
- Wellcome Trust Centre for Molecular Parasitology, Institute of Infection, Immunity and Inflammation, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 8TA UK
- Glasgow Polyomics, Wolfson Wohl Cancer Research Centre, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, G61 1QH UK
| | - Andrew D. Southam
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT UK
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