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Sun Y, Zhang X, Hang D, Lau HCH, Du J, Liu C, Xie M, Pan Y, Wang L, Liang C, Zhou X, Chen D, Rong J, Zhao Z, Cheung AHK, Wu Y, Gou H, Wong CC, Du L, Deng J, Hu Z, Shen H, Miao Y, Yu J. Integrative plasma and fecal metabolomics identify functional metabolites in adenoma-colorectal cancer progression and as early diagnostic biomarkers. Cancer Cell 2024; 42:1386-1400.e8. [PMID: 39137727 DOI: 10.1016/j.ccell.2024.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 02/09/2024] [Accepted: 07/17/2024] [Indexed: 08/15/2024]
Abstract
Changes in plasma and fecal metabolomes in colorectal cancer (CRC) progression (normal-adenoma-CRC) remain unclear. Here, plasma and fecal samples were collected from four independent cohorts of 1,251 individuals (422 CRC, 399 colorectal adenoma [CRA], and 430 normal controls [NC]). By metabolomic profiling, signature plasma and fecal metabolites with consistent shift across NC, CRA, and CRC are identified, including CRC-enriched oleic acid and CRC-depleted allocholic acid. Oleic acid exhibits pro-tumorigenic effects in CRC cells, patient-derived organoids, and two murine CRC models, whereas allocholic acid has opposing effects. By integrative analysis, we found that oleic acid or allocholic acid directly binds to α-enolase or farnesoid X receptor-1 in CRC cells, respectively, to modulate cancer-associated pathways. Clinically, we establish a panel of 17 plasma metabolites that accurately diagnoses CRC in a discovery and three validation cohorts (AUC = 0.848-0.987). Overall, we characterize metabolite signatures, mechanistic significance, and diagnostic potential of plasma and fecal metabolomes in CRC.
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Affiliation(s)
- Yang Sun
- Department of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Yunnan Province Clinical Research Center for Digestive Disease, Yunan Geiatric Medical Center, Kunming, Yunnan, China
| | - Xiang Zhang
- Institute of Digestive Disease, Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, CUHK Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Dong Hang
- Department of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Harry Cheuk-Hay Lau
- Institute of Digestive Disease, Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, CUHK Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jie Du
- Biotree Metabolomics Technology Research Center, Shanghai, China
| | - Chuanfa Liu
- Institute of Digestive Disease, Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, CUHK Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Mingxu Xie
- Institute of Digestive Disease, Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, CUHK Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yasi Pan
- Institute of Digestive Disease, Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, CUHK Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Le Wang
- Department of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China
| | - Cong Liang
- Institute of Precision Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xingyu Zhou
- Institute of Digestive Disease, Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, CUHK Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Danyu Chen
- Institute of Digestive Disease, Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, CUHK Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jiamei Rong
- Department of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Yunnan Province Clinical Research Center for Digestive Disease, Yunan Geiatric Medical Center, Kunming, Yunnan, China
| | - Zengren Zhao
- Department of Gastrointestinal Surgery, Hebei Key Laboratory of Colorectal Cancer Precision Diagnosis and Treatment, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Alvin Ho-Kwan Cheung
- Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yuet Wu
- Institute of Digestive Disease, Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, CUHK Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Hongyan Gou
- Institute of Digestive Disease, Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, CUHK Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Chi Chun Wong
- Institute of Digestive Disease, Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, CUHK Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Lingbin Du
- Department of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China
| | - Junliang Deng
- Biotree Metabolomics Technology Research Center, Shanghai, China
| | - Zhibin Hu
- Department of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Hongbing Shen
- Department of Epidemiology, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
| | - Yinglei Miao
- Department of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Yunnan Province Clinical Research Center for Digestive Disease, Yunan Geiatric Medical Center, Kunming, Yunnan, China.
| | - Jun Yu
- Institute of Digestive Disease, Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, CUHK Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong SAR, China.
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Silva AAR, Cardoso MR, de Oliveira DC, Godoy P, Talarico MCR, Gutiérrez JM, Rodrigues Peres RM, de Carvalho LM, Miyaguti NADS, Sarian LO, Tata A, Derchain SFM, Porcari AM. Plasma Metabolome Signatures to Predict Responsiveness to Neoadjuvant Chemotherapy in Breast Cancer. Cancers (Basel) 2024; 16:2473. [PMID: 39001535 PMCID: PMC11240312 DOI: 10.3390/cancers16132473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Revised: 06/27/2024] [Accepted: 07/04/2024] [Indexed: 07/16/2024] Open
Abstract
BACKGROUND Neoadjuvant chemotherapy (NACT) has arisen as a treatment option for breast cancer (BC). However, the response to NACT is still unpredictable and dependent on cancer subtype. Metabolomics is a tool for predicting biomarkers and chemotherapy response. We used plasma to verify metabolomic alterations in BC before NACT, relating to clinical data. METHODS Liquid chromatography coupled to mass spectrometry (LC-MS) was performed on pre-NACT plasma from patients with BC (n = 75). After data filtering, an SVM model for classification was built and validated with 75%/25% of the data, respectively. RESULTS The model composed of 19 identified metabolites effectively predicted NACT response for training/validation sets with high sensitivity (95.4%/93.3%), specificity (91.6%/100.0%), and accuracy (94.6%/94.7%). In both sets, the panel correctly classified 95% of resistant and 94% of sensitive females. Most compounds identified by the model were lipids and amino acids and revealed pathway alterations related to chemoresistance. CONCLUSION We developed a model for predicting patient response to NACT. These metabolite panels allow clinical gain by building precision medicine strategies based on tumor stratification.
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Affiliation(s)
- Alex Ap. Rosini Silva
- MSLife Laboratory of Mass Spectrometry, Health Sciences Postgraduate Program, São Francisco University, Av. São Francisco de Assis, 218, Sala 211, Prédio 5, Bragança Paulista 12916900, São Paulo, Brazil; (A.A.R.S.); (D.C.d.O.)
| | - Marcella R. Cardoso
- Department of Obstetrics and Gynecology, Division of Gynecologic and Breast Oncology, Faculty of Medical Sciences, University of Campinas (UNICAMP—Universidade Estadual de Campinas), Campinas 13083881, São Paulo, Brazil
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA
| | - Danilo Cardoso de Oliveira
- MSLife Laboratory of Mass Spectrometry, Health Sciences Postgraduate Program, São Francisco University, Av. São Francisco de Assis, 218, Sala 211, Prédio 5, Bragança Paulista 12916900, São Paulo, Brazil; (A.A.R.S.); (D.C.d.O.)
| | - Pedro Godoy
- MSLife Laboratory of Mass Spectrometry, Health Sciences Postgraduate Program, São Francisco University, Av. São Francisco de Assis, 218, Sala 211, Prédio 5, Bragança Paulista 12916900, São Paulo, Brazil; (A.A.R.S.); (D.C.d.O.)
| | - Maria Cecília R. Talarico
- Department of Obstetrics and Gynecology, Division of Gynecologic and Breast Oncology, Faculty of Medical Sciences, University of Campinas (UNICAMP—Universidade Estadual de Campinas), Campinas 13083881, São Paulo, Brazil
| | - Junier Marrero Gutiérrez
- MSLife Laboratory of Mass Spectrometry, Health Sciences Postgraduate Program, São Francisco University, Av. São Francisco de Assis, 218, Sala 211, Prédio 5, Bragança Paulista 12916900, São Paulo, Brazil; (A.A.R.S.); (D.C.d.O.)
| | - Raquel M. Rodrigues Peres
- MSLife Laboratory of Mass Spectrometry, Health Sciences Postgraduate Program, São Francisco University, Av. São Francisco de Assis, 218, Sala 211, Prédio 5, Bragança Paulista 12916900, São Paulo, Brazil; (A.A.R.S.); (D.C.d.O.)
| | - Lucas M. de Carvalho
- Post Graduate Program in Health Sciences, São Francisco University, Bragança Paulista 12916900, São Paulo, Brazil
| | - Natália Angelo da Silva Miyaguti
- MSLife Laboratory of Mass Spectrometry, Health Sciences Postgraduate Program, São Francisco University, Av. São Francisco de Assis, 218, Sala 211, Prédio 5, Bragança Paulista 12916900, São Paulo, Brazil; (A.A.R.S.); (D.C.d.O.)
| | - Luis O. Sarian
- Department of Obstetrics and Gynecology, Division of Gynecologic and Breast Oncology, Faculty of Medical Sciences, University of Campinas (UNICAMP—Universidade Estadual de Campinas), Campinas 13083881, São Paulo, Brazil
| | - Alessandra Tata
- Laboratory of Experimental Chemistry, Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), Viale Fiume 78, 36100 Vicenza, Italy;
| | - Sophie F. M. Derchain
- Department of Obstetrics and Gynecology, Division of Gynecologic and Breast Oncology, Faculty of Medical Sciences, University of Campinas (UNICAMP—Universidade Estadual de Campinas), Campinas 13083881, São Paulo, Brazil
| | - Andreia M. Porcari
- MSLife Laboratory of Mass Spectrometry, Health Sciences Postgraduate Program, São Francisco University, Av. São Francisco de Assis, 218, Sala 211, Prédio 5, Bragança Paulista 12916900, São Paulo, Brazil; (A.A.R.S.); (D.C.d.O.)
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Verheijen FWM, Tran TNM, Chang J, Broere F, Zaal EA, Berkers CR. Deciphering metabolic crosstalk in context: lessons from inflammatory diseases. Mol Oncol 2024; 18:1759-1776. [PMID: 38275212 PMCID: PMC11223610 DOI: 10.1002/1878-0261.13588] [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: 07/17/2023] [Revised: 11/02/2023] [Accepted: 01/15/2024] [Indexed: 01/27/2024] Open
Abstract
Metabolism plays a crucial role in regulating the function of immune cells in both health and disease, with altered metabolism contributing to the pathogenesis of cancer and many inflammatory diseases. The local microenvironment has a profound impact on the metabolism of immune cells. Therefore, immunological and metabolic heterogeneity as well as the spatial organization of cells in tissues should be taken into account when studying immunometabolism. Here, we highlight challenges of investigating metabolic communication. Additionally, we review the capabilities and limitations of current technologies for studying metabolism in inflamed microenvironments, including single-cell omics techniques, flow cytometry-based methods (Met-Flow, single-cell energetic metabolism by profiling translation inhibition (SCENITH)), cytometry by time of flight (CyTOF), cellular indexing of transcriptomes and epitopes by sequencing (CITE-Seq), and mass spectrometry imaging. Considering the importance of metabolism in regulating immune cells in diseased states, we also discuss the applications of metabolomics in clinical research, as well as some hurdles to overcome to implement these techniques in standard clinical practice. Finally, we provide a flowchart to assist scientists in designing effective strategies to unravel immunometabolism in disease-relevant contexts.
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Affiliation(s)
- Fenne W. M. Verheijen
- Division of Cell Biology, Metabolism & Cancer, Department Biomolecular Health Sciences, Faculty of Veterinary MedicineUtrecht UniversityThe Netherlands
- Division of Infectious Diseases and Immunology, Department Biomolecular Health Sciences, Faculty of Veterinary MedicineUtrecht UniversityThe Netherlands
| | - Thi N. M. Tran
- Division of Cell Biology, Metabolism & Cancer, Department Biomolecular Health Sciences, Faculty of Veterinary MedicineUtrecht UniversityThe Netherlands
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Centre for Biomolecular ResearchUtrecht UniversityThe Netherlands
| | - Jung‐Chin Chang
- Division of Cell Biology, Metabolism & Cancer, Department Biomolecular Health Sciences, Faculty of Veterinary MedicineUtrecht UniversityThe Netherlands
| | - Femke Broere
- Division of Infectious Diseases and Immunology, Department Biomolecular Health Sciences, Faculty of Veterinary MedicineUtrecht UniversityThe Netherlands
| | - Esther A. Zaal
- Division of Cell Biology, Metabolism & Cancer, Department Biomolecular Health Sciences, Faculty of Veterinary MedicineUtrecht UniversityThe Netherlands
| | - Celia R. Berkers
- Division of Cell Biology, Metabolism & Cancer, Department Biomolecular Health Sciences, Faculty of Veterinary MedicineUtrecht UniversityThe Netherlands
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Wang J, Sun N, Kunzke T, Shen J, Feuchtinger A, Wang Q, Meixner R, Gleut RL, Haffner I, Luber B, Lordick F, Walch A. Metabolic heterogeneity affects trastuzumab response and survival in HER2-positive advanced gastric cancer. Br J Cancer 2024; 130:1036-1045. [PMID: 38267634 PMCID: PMC10951255 DOI: 10.1038/s41416-023-02559-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 12/06/2023] [Accepted: 12/14/2023] [Indexed: 01/26/2024] Open
Abstract
BACKGROUND Trastuzumab is the only first-line treatment targeted against the human epidermal growth factor receptor 2 (HER2) approved for patients with HER2-positive advanced gastric cancer. The impact of metabolic heterogeneity on trastuzumab treatment efficacy remains unclear. METHODS Spatial metabolomics via high mass resolution imaging mass spectrometry was performed in pretherapeutic biopsies of patients with HER2-positive advanced gastric cancer in a prospective multicentre observational study. The mass spectra, representing the metabolic heterogeneity within tumour areas, were grouped by K-means clustering algorithm. Simpson's diversity index was applied to compare the metabolic heterogeneity level of individual patients. RESULTS Clustering analysis revealed metabolic heterogeneity in HER2-positive gastric cancer patients and uncovered nine tumour subpopulations. High metabolic heterogeneity was shown as a factor indicating sensitivity to trastuzumab (p = 0.008) and favourable prognosis at trend level. Two of the nine tumour subpopulations associated with favourable prognosis and trastuzumab sensitivity, and one subpopulation associated with poor prognosis and trastuzumab resistance. CONCLUSIONS This work revealed that tumour metabolic heterogeneity associated with prognosis and trastuzumab response based on tissue metabolomics of HER2-positive gastric cancer. Tumour metabolic subpopulations may provide an association with trastuzumab therapy efficacy. CLINICAL TRIAL REGISTRATION The patient cohort was conducted from a multicentre observational study (VARIANZ;NCT02305043).
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Affiliation(s)
- Jun Wang
- Research Unit Analytical Pathology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Na Sun
- Research Unit Analytical Pathology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Thomas Kunzke
- Research Unit Analytical Pathology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Jian Shen
- Research Unit Analytical Pathology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Annette Feuchtinger
- Research Unit Analytical Pathology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Qian Wang
- Research Unit Analytical Pathology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Raphael Meixner
- Core Facility Statistical Consulting, Helmholtz Zentrum München, 85764, Neuherberg, Germany
| | - Ronan Le Gleut
- Core Facility Statistical Consulting, Helmholtz Zentrum München, 85764, Neuherberg, Germany
| | - Ivonne Haffner
- University Cancer Center Leipzig (UCCL), Leipzig University Medical Center, Leipzig, Germany
| | - Birgit Luber
- Technische Universität München, Fakultät für Medizin, Klinikum rechts der Isar, Institut für Allgemeine Pathologie und Pathologische Anatomie, München, Germany
| | - Florian Lordick
- University Cancer Center Leipzig (UCCL), Leipzig University Medical Center, Leipzig, Germany
- Department of Oncology, Gastroenterology, Hepatology, Pulmonology and Infectious Diseases, Leipzig University Medical Center, Leipzig, Germany
| | - Axel Walch
- Research Unit Analytical Pathology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.
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Boguszewicz Ł, Bieleń A, Ciszek M, Skorupa A, Mrochem-Kwarciak J, Składowski K, Sokół M. Metabolomic Insight into Implications of Induction Chemotherapy Followed by Concomitant Chemoradiotherapy in Locally Advanced Head and Neck Cancer. Int J Mol Sci 2023; 25:188. [PMID: 38203359 PMCID: PMC10779362 DOI: 10.3390/ijms25010188] [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: 11/17/2023] [Revised: 12/15/2023] [Accepted: 12/20/2023] [Indexed: 01/12/2024] Open
Abstract
The present study compares two groups of locally advanced patients with head and neck squamous cell carcinoma (LA-HNSCC) undergoing concurrent chemoradiotherapy (cCHRT), specifically those for whom it is a first-line treatment and those who have previously received induction chemotherapy (iCHT). The crucial question is whether iCHT is a serious burden during subsequent treatment for LA-HNSCC and how iCHT affects the tolerance to cCHRT. Of the 107 LA-HNSCC patients, 54 received cisplatin-based iCHT prior to cCHRT. The patients were clinically monitored at weekly intervals from the day before until the completion of the cCHRT. The 843 blood samples were collected and divided into two aliquots: for laboratory blood tests and for nuclear magnetic resonance (NMR) spectroscopy (a Bruker 400 MHz spectrometer). The NMR metabolites and the clinical parameters from the laboratory blood tests were analyzed using orthogonal partial least squares analysis (OPLS) and the Mann-Whitney U test (MWU). After iCHT, the patients begin cCHRT with significantly (MWU p-value < 0.05) elevated blood serum lipids, betaine, glycine, phosphocholine, and reticulocyte count, as well as significantly lowered NMR inflammatory markers, serine, hematocrit, neutrophile, monocyte, red blood cells, hemoglobin, and CRP. During cCHRT, a significant increase in albumin and psychological distress was observed, as well as a significant decrease in platelet, N-acetyl-cysteine, tyrosine, and phenylalanine, in patients who received iCHT. Importantly, all clinical symptoms (except the decreased platelets) and most metabolic alterations (except for betaine, serine, tyrosine, glucose, and phosphocholine) resolve until the completion of cCHRT. In conclusion, iCHT results in hematological toxicity, altered lipids, and one-carbon metabolism, as well as downregulated inflammation, as observed at the beginning and during cCHRT. However, these complications are temporary, and most of them resolve at the end of the treatment. This suggests that iCHT prior to cCHRT does not pose a significant burden and should be considered as a safe treatment option for LA-HNSCC.
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Affiliation(s)
- Łukasz Boguszewicz
- Department of Medical Physics, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, 44-102 Gliwice, Poland; (M.C.); (A.S.); (M.S.)
| | - Agata Bieleń
- 1st Radiation and Clinical Oncology Department, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, 44-102 Gliwice, Poland; (A.B.)
| | - Mateusz Ciszek
- Department of Medical Physics, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, 44-102 Gliwice, Poland; (M.C.); (A.S.); (M.S.)
| | - Agnieszka Skorupa
- Department of Medical Physics, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, 44-102 Gliwice, Poland; (M.C.); (A.S.); (M.S.)
| | - Jolanta Mrochem-Kwarciak
- Analytics and Clinical Biochemistry Department, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, 44-102 Gliwice, Poland;
| | - Krzysztof Składowski
- 1st Radiation and Clinical Oncology Department, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, 44-102 Gliwice, Poland; (A.B.)
| | - Maria Sokół
- Department of Medical Physics, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, 44-102 Gliwice, Poland; (M.C.); (A.S.); (M.S.)
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Santos MD, Barros I, Brandão P, Lacerda L. Amino Acid Profiles in the Biological Fluids and Tumor Tissue of CRC Patients. Cancers (Basel) 2023; 16:69. [PMID: 38201497 PMCID: PMC10778074 DOI: 10.3390/cancers16010069] [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: 11/18/2023] [Revised: 12/19/2023] [Accepted: 12/21/2023] [Indexed: 01/12/2024] Open
Abstract
Amino acids are the building blocks of proteins and essential players in pathways such as the citric acid and urea cycle, purine and pyrimidine biosynthesis, and redox cell signaling. Therefore, it is unsurprising that these molecules have a significant role in cancer metabolism and its metabolic plasticity. As one of the most prevalent malign diseases, colorectal cancer needs biomarkers for its early detection, prognostic, and prediction of response to therapy. However, the available biomarkers for this disease must be more powerful and present several drawbacks, such as high costs and complex laboratory procedures. Metabolomics has gathered substantial attention in the past two decades as a screening platform to study new metabolites, partly due to the development of techniques, such as mass spectrometry or liquid chromatography, which have become standard practice in diagnostic procedures for other diseases. Extensive metabolomic studies have been performed in colorectal cancer (CRC) patients in the past years, and several exciting results concerning amino acid metabolism have been found. This review aims to gather and present findings concerning alterations in the amino acid plasma pool of colorectal cancer patients.
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Affiliation(s)
- Marisa Domingues Santos
- Colorectal Unit, Hospital de Santo António, Centro Hospitalar Universitário de Santo António, 4050-651 Porto, Portugal;
- UMIB—Unit for Multidisciplinary Research in Biomedicine, ICBAS—School of Medicine and Biomedical Sciences, University of Porto, 4050-313 Porto, Portugal; (I.B.); (L.L.)
- ITR—Laboratory for Integrative and Translational Research in Population Health, 4050-313 Porto, Portugal
| | - Ivo Barros
- UMIB—Unit for Multidisciplinary Research in Biomedicine, ICBAS—School of Medicine and Biomedical Sciences, University of Porto, 4050-313 Porto, Portugal; (I.B.); (L.L.)
| | - Pedro Brandão
- Colorectal Unit, Hospital de Santo António, Centro Hospitalar Universitário de Santo António, 4050-651 Porto, Portugal;
- UMIB—Unit for Multidisciplinary Research in Biomedicine, ICBAS—School of Medicine and Biomedical Sciences, University of Porto, 4050-313 Porto, Portugal; (I.B.); (L.L.)
- ITR—Laboratory for Integrative and Translational Research in Population Health, 4050-313 Porto, Portugal
| | - Lúcia Lacerda
- UMIB—Unit for Multidisciplinary Research in Biomedicine, ICBAS—School of Medicine and Biomedical Sciences, University of Porto, 4050-313 Porto, Portugal; (I.B.); (L.L.)
- ITR—Laboratory for Integrative and Translational Research in Population Health, 4050-313 Porto, Portugal
- Genetic Laboratory Service, Centro de Genética Médica Jacinto de Magalhães, Centro Hospitalar Universitário de Santo António, 4050-651 Porto, Portugal
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Metabolomics by NMR Combined with Machine Learning to Predict Neoadjuvant Chemotherapy Response for Breast Cancer. Cancers (Basel) 2022; 14:cancers14205055. [PMID: 36291837 PMCID: PMC9600495 DOI: 10.3390/cancers14205055] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 10/05/2022] [Accepted: 10/10/2022] [Indexed: 11/25/2022] Open
Abstract
Simple Summary Neoadjuvant chemotherapy (NACT) is offered to breast cancer (BC) patients to downstage the disease. However, some patients may not respond to NACT, being resistant. We used the serum metabolic profile by Nuclear Magnetic Resonance (NMR) combined with disease characteristics to differentiate between sensitive and resistant BC patients. We obtained accuracy above 80% for the response prediction and showcased how NMR can substantially enhance the prediction of response to NACT. Abstract Neoadjuvant chemotherapy (NACT) is offered to patients with operable or inoperable breast cancer (BC) to downstage the disease. Clinical responses to NACT may vary depending on a few known clinical and biological features, but the diversity of responses to NACT is not fully understood. In this study, 80 women had their metabolite profiles of pre-treatment sera analyzed for potential NACT response biomarker candidates in combination with immunohistochemical parameters using Nuclear Magnetic Resonance (NMR). Sixty-four percent of the patients were resistant to chemotherapy. NMR, hormonal receptors (HR), human epidermal growth factor receptor 2 (HER2), and the nuclear protein Ki67 were combined through machine learning (ML) to predict the response to NACT. Metabolites such as leucine, formate, valine, and proline, along with hormone receptor status, were discriminants of response to NACT. The glyoxylate and dicarboxylate metabolism was found to be involved in the resistance to NACT. We obtained an accuracy in excess of 80% for the prediction of response to NACT combining metabolomic and tumor profile data. Our results suggest that NMR data can substantially enhance the prediction of response to NACT when used in combination with already known response prediction factors.
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Atalay EB, Kayali HA. The elevated D-2-hydroxyglutarate level found as a characteristic metabolic change of colon cancer in both in vitro and in vivo models. Biochem Biophys Res Commun 2022; 627:191-199. [DOI: 10.1016/j.bbrc.2022.08.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 08/06/2022] [Indexed: 11/02/2022]
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Zhuang J, Yang X, Zheng Q, Li K, Cai L, Yu H, Lv J, Bai K, Cao Q, Li P, Yang H, Wang J, Lu Q. Metabolic Profiling of Bladder Cancer Patients' Serum Reveals Their Sensitivity to Neoadjuvant Chemotherapy. Metabolites 2022; 12:metabo12060558. [PMID: 35736490 PMCID: PMC9229374 DOI: 10.3390/metabo12060558] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 06/07/2022] [Accepted: 06/13/2022] [Indexed: 02/07/2023] Open
Abstract
Numerous patients with muscle-invasive bladder cancer develop low responsiveness to cisplatin. Our purpose was to explore differential metabolites derived from serum in bladder cancer patients treated with neoadjuvant chemotherapy (NAC). Data of patients diagnosed with cT2-4aNxM0 was collected. Blood samples were retained prospectively before the first chemotherapy for untargeted metabolomics by 1H-NMR and UPLC-MS. To identify characterized metabolites, multivariate statistical analyses were applied, and the intersection of the differential metabolites discovered by the two approaches was used to identify viable biomarkers. A total of 18 patients (6 NAC-sensitive patients and 12 NAC-resistant patients) were enrolled. There were 29 metabolites detected by 1H-NMR and 147 metabolites identified by UPLC-MS. Multivariate statistics demonstrated that in the sensitive group, glutamine and taurine were considerably increased compared to their levels in the resistant group, while glutamate and hypoxanthine were remarkably decreased. Pathway analysis and enrichment analysis showed significant alterations in amino acid pathways, suggesting that response to chemotherapy may be related to amino acid metabolism. In addition, hallmark analysis showed that DNA repair played a regulatory role. Overall, serum metabolic profiles of NAC sensitivity are significantly different in bladder cancer patients. Glycine, hypoxanthine, taurine and glutamine may be the potential biomarkers for clinical treatment. Amino acid metabolism has potential value in enhancing drug efficacy.
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Affiliation(s)
- Juntao Zhuang
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China; (J.Z.); (X.Y.); (K.L.); (L.C.); (H.Y.); (J.L.); (K.B.); (Q.C.); (P.L.); (H.Y.)
| | - Xiao Yang
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China; (J.Z.); (X.Y.); (K.L.); (L.C.); (H.Y.); (J.L.); (K.B.); (Q.C.); (P.L.); (H.Y.)
| | - Qi Zheng
- Center of Molecular Metabolism, Nanjing University of Science and Technology, Nanjing 210094, China;
| | - Kai Li
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China; (J.Z.); (X.Y.); (K.L.); (L.C.); (H.Y.); (J.L.); (K.B.); (Q.C.); (P.L.); (H.Y.)
| | - Lingkai Cai
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China; (J.Z.); (X.Y.); (K.L.); (L.C.); (H.Y.); (J.L.); (K.B.); (Q.C.); (P.L.); (H.Y.)
| | - Hao Yu
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China; (J.Z.); (X.Y.); (K.L.); (L.C.); (H.Y.); (J.L.); (K.B.); (Q.C.); (P.L.); (H.Y.)
| | - Jiancheng Lv
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China; (J.Z.); (X.Y.); (K.L.); (L.C.); (H.Y.); (J.L.); (K.B.); (Q.C.); (P.L.); (H.Y.)
| | - Kexin Bai
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China; (J.Z.); (X.Y.); (K.L.); (L.C.); (H.Y.); (J.L.); (K.B.); (Q.C.); (P.L.); (H.Y.)
| | - Qiang Cao
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China; (J.Z.); (X.Y.); (K.L.); (L.C.); (H.Y.); (J.L.); (K.B.); (Q.C.); (P.L.); (H.Y.)
| | - Pengchao Li
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China; (J.Z.); (X.Y.); (K.L.); (L.C.); (H.Y.); (J.L.); (K.B.); (Q.C.); (P.L.); (H.Y.)
| | - Haiwei Yang
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China; (J.Z.); (X.Y.); (K.L.); (L.C.); (H.Y.); (J.L.); (K.B.); (Q.C.); (P.L.); (H.Y.)
| | - Junsong Wang
- Center of Molecular Metabolism, Nanjing University of Science and Technology, Nanjing 210094, China;
- Correspondence: (J.W.); (Q.L.)
| | - Qiang Lu
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China; (J.Z.); (X.Y.); (K.L.); (L.C.); (H.Y.); (J.L.); (K.B.); (Q.C.); (P.L.); (H.Y.)
- Correspondence: (J.W.); (Q.L.)
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10
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He X, Gu J, Zou D, Yang H, Zhang Y, Ding Y, Teng L. NMR-Based Metabolomics Analysis Predicts Response to Neoadjuvant Chemotherapy for Triple-Negative Breast Cancer. Front Mol Biosci 2021; 8:708052. [PMID: 34796199 PMCID: PMC8592909 DOI: 10.3389/fmolb.2021.708052] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 09/10/2021] [Indexed: 12/17/2022] Open
Abstract
Triple-negative breast cancer (TNBC) is the most fatal type of breast cancer (BC). Due to the lack of relevant targeted drug therapy, in addition to surgery, chemotherapy is still the most common treatment option for TNBC. TNBC is heterogeneous, and different patients have an unusual sensitivity to chemotherapy. Only part of the patients will benefit from chemotherapy, so neoadjuvant chemotherapy (NAC) is controversial in the treatment of TNBC. Here, we performed an NMR spectroscopy–based metabolomics study to analyze the relationship between the patients’ metabolic phenotypes and chemotherapy sensitivity in the serum samples. Metabolic phenotypes from patients with pathological partial response, pathological complete response, and pathological stable disease (pPR, pCR, and pSD) could be distinguished. Furthermore, we conducted metabolic pathway analysis based on identified significant metabolites and revealed significantly disturbed metabolic pathways closely associated with three groups of TNBC patients. We evaluated the discriminative ability of metabolites related to significantly disturbed metabolic pathways by using the multi-receiver–operating characteristic (ROC) curve analysis. Three significantly disturbed metabolic pathways of glycine, serine, and threonine metabolism, valine, leucine, and isoleucine biosynthesis, and alanine, aspartate, and glutamate metabolism could be used as potential predictive models to distinguish three types of TNBC patients. These results indicate that a metabolic phenotype could be used to predict whether a patient is suitable for NAC. Metabolomics research could provide data in support of metabolic phenotypes for personalized treatment of TNBC.
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Affiliation(s)
- Xiangming He
- The First Affiliated Hospital, Zhejiang University School of Medicine (FAHZU), Hangzhou, China.,Chinese Academy of Sciences, Institute of Basic Medicine and Cancer (IBMC), The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China
| | - Jinping Gu
- Key Laboratory for Green Pharmaceutical Technologies and Related Equipment of Ministry of Education, College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou, China
| | - Dehong Zou
- Chinese Academy of Sciences, Institute of Basic Medicine and Cancer (IBMC), The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China
| | - Hongjian Yang
- Chinese Academy of Sciences, Institute of Basic Medicine and Cancer (IBMC), The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China
| | - Yongfang Zhang
- Chinese Academy of Sciences, Institute of Basic Medicine and Cancer (IBMC), The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China
| | - Yuqing Ding
- Chinese Academy of Sciences, Institute of Basic Medicine and Cancer (IBMC), The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China
| | - Lisong Teng
- The First Affiliated Hospital, Zhejiang University School of Medicine (FAHZU), Hangzhou, China
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11
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Guo M, Fan X, Tuerhongjiang G, Wang C, Wu H, Lou B, Wu Y, Yuan Z, She J. Targeted metabolomic analysis of plasma fatty acids in acute myocardial infarction in young adults. Nutr Metab Cardiovasc Dis 2021; 31:3131-3141. [PMID: 34625358 DOI: 10.1016/j.numecd.2021.06.024] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 06/28/2021] [Accepted: 06/29/2021] [Indexed: 02/03/2023]
Abstract
BACKGROUND AND AIMS Acute myocardial infarction (AMI) in young adults has distinct clinical features and risk profile as compared with that in elder adults. The pathophysiologic mechanism of AMI in young adults remains unclear. In this study, we used targeted metabolomics to measure metabolic profile and analyzed plasma fatty acids levels in young adults with AMI, seeking to determine whether circulating fatty acid metabolism was correlated with the occurrence of AMI in young adults. METHODS AND RESULTS Consecutive young and elder patients admitted to hospital for AMI were enrolled. Plasma samples of all participants were obtained after overnight fast and then measured using ultra-performance liquid chromatography coupled with tandem mass spectrometry (UPLC-MS/MS) based targeted metabolomic platform. A total of 201 plasma metabolites were measured using UPLC-MS/MS. Several plasma fatty acids were significantly altered in young AMI patients compared with control or elder AMI patients, which also showed significant prediction value for AMI in young adults. Percentage of short chain fatty acids (SCFAs) was decreased and long chain increased in AMI as compared with control. Moreover, alpha-linolenic acid and linoleic acid metabolism (ALALAM) pathway metabolites were gradually increased in control, young, and elder AMI patients. Altered fatty acid correlation network further identified fatty acid metabolism disorder in AMI in young adults. CONCLUSION By utilizing targeted metabolomic technique, we have found several altered fatty acids and respective pathways that show diagnostic value for AMI in young adults. SCFA and long-chain fatty acid (LCFA) were differentially altered in AMI patients.
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Affiliation(s)
- Manyun Guo
- Cardiovascular Department, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 W. Yanta Road, Xi'an, Shaanxi, 710061, PR China; Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, 710048, PR China
| | - Xiaojuan Fan
- Cardiovascular Department, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 W. Yanta Road, Xi'an, Shaanxi, 710061, PR China; Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, 710048, PR China
| | - Gulinigaer Tuerhongjiang
- Cardiovascular Department, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 W. Yanta Road, Xi'an, Shaanxi, 710061, PR China; Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, 710048, PR China
| | - Chen Wang
- Cardiovascular Department, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 W. Yanta Road, Xi'an, Shaanxi, 710061, PR China; Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, 710048, PR China
| | - Haoyu Wu
- Cardiovascular Department, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 W. Yanta Road, Xi'an, Shaanxi, 710061, PR China; Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, 710048, PR China
| | - Bowen Lou
- Cardiovascular Department, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 W. Yanta Road, Xi'an, Shaanxi, 710061, PR China; Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, 710048, PR China
| | - Yue Wu
- Cardiovascular Department, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 W. Yanta Road, Xi'an, Shaanxi, 710061, PR China; Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, 710048, PR China
| | - Zuyi Yuan
- Cardiovascular Department, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 W. Yanta Road, Xi'an, Shaanxi, 710061, PR China; Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, 710048, PR China.
| | - Jianqing She
- Cardiovascular Department, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 W. Yanta Road, Xi'an, Shaanxi, 710061, PR China; Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, 710048, PR China.
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12
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Bortolasci CC, Turner A, Mohebbi M, Liu ZS, Ashton M, Gray L, Marx W, Walker AJ, Kowalski GM, Jacka F, Berk M, Dean OM, Walder K. Baseline serum amino acid levels predict treatment response to augmentation with N-acetylcysteine (NAC) in a bipolar disorder randomised trial. J Psychiatr Res 2021; 142:376-383. [PMID: 34438354 DOI: 10.1016/j.jpsychires.2021.08.034] [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: 03/17/2021] [Revised: 07/14/2021] [Accepted: 08/19/2021] [Indexed: 11/16/2022]
Abstract
N-acetylcysteine (NAC) acts on glutamatergic and redox systems, two systems implicated in the pathophysiology of bipolar disorder (BD). This has led to the investigation of NAC as a potential candidate for the treatment of BD. The aim of this study was to investigate metabolomic markers to identify predictors of NAC response in a cohort of BD participants. This study is a secondary analysis of a 16-week, multi-site, randomized, double-blinded, parallel-group, placebo-controlled trial in BD participants with a current acute depressive episode. This study included trial participants who received either NAC 2000 mg/day, or placebo. Participants (NAC: n = 31, placebo: n = 29) were assessed at baseline and week 16 using the Montgomery Åsberg Depression Rating Scale (MADRS) and were dichotomised into "responders" (MADRS at week 16 < 50% of MADRS at baseline) and "non-responders" (MADRS at week 16 > 50% at baseline). Untargeted gas chromatography-mass spectrometry analysis was performed to analyse baseline levels of 68 serum metabolites. Of the nine metabolites that differentiated placebo and NAC groups, five were amino acids with lower levels in the NAC responder group compared with the NAC non-responders. Further analysis generated a predictive model of MADRS improvement including glycine, norleucine, threonine, proline, phenylalanine, tyrosine, glutamic acid, lysine and leucine (R2 = 0.853; adjusted R2 = 0.733). This prediction model predicted 85% of the variance in MADRS outcome after adjunctive treatment with NAC. BD participants with lower serum levels of free amino acids at baseline may be more likely to respond to adjunctive treatment with NAC.
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Affiliation(s)
- Chiara C Bortolasci
- IMPACT, The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Australia.
| | - Alyna Turner
- IMPACT, The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Australia; School of Medicine and Public Health, Faculty of Health and Medicine, The University of Newcastle, Callaghan, Australia; Department of Psychiatry, University of Melbourne, Parkville, Australia
| | | | - Zoe Sj Liu
- IMPACT, The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Australia
| | - Melanie Ashton
- IMPACT, The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Australia
| | - Laura Gray
- IMPACT, The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Australia; Florey Institute for Neuroscience and Mental Health, University of Melbourne, Parkville, Australia
| | - Wolfgang Marx
- IMPACT, The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Australia; Department of Rehabilitation, Nutrition and Sport, School of Allied Health, College of Science, Health and Engineering, La Trobe University, Bundoora, Australia
| | - Adam J Walker
- IMPACT, The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Australia
| | - Greg M Kowalski
- IMPACT, The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Australia; Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
| | - Felice Jacka
- IMPACT, The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Australia; Black Dog Institute, Sydney, Australia
| | - Michael Berk
- IMPACT, The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Australia; Florey Institute for Neuroscience and Mental Health, University of Melbourne, Parkville, Australia; Department of Psychiatry, Royal Melbourne Hospital, University of Melbourne, Parkville, Australia; Centre of Youth Mental Health, University of Melbourne, Parkville, Australia; Orygen Youth Health Research Centre, Parkville, Australia
| | - Olivia M Dean
- IMPACT, The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Australia; Florey Institute for Neuroscience and Mental Health, University of Melbourne, Parkville, Australia; Department of Psychiatry, Royal Melbourne Hospital, University of Melbourne, Parkville, Australia
| | - Ken Walder
- IMPACT, The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Australia.
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13
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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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14
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Signaling lipids as diagnostic biomarkers for ocular surface cicatrizing conjunctivitis. J Mol Med (Berl) 2020; 98:751-760. [PMID: 32313985 PMCID: PMC7220886 DOI: 10.1007/s00109-020-01907-w] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 03/24/2020] [Accepted: 04/02/2020] [Indexed: 12/23/2022]
Abstract
Abstract Metabolomics has been applied to diagnose diseases, predict disease progression, and design therapeutic strategies in various areas of medicine. However, it remains to be applied to the ocular surface diseases, where biological samples are often of limited quantities. We successfully performed proof-of-concept metabolomics assessment of volume-limited cytology samples from a clinical form of chronic inflammatory cicatrizing conjunctivitis, i.e., ocular MMP and discovered metabolic changes of signaling lipid mediators upon disease onset and progression. The metabolomics assessment revealed active oxylipins, lysophospholipids, fatty acids, and endocannabinoids alterations, from which potential biomarkers linked to inflammatory processes were identified. Possible underlying mechanisms such as dysregulated enzyme activities (e.g., lipoxygenases, cytochrome P450, and phospholipases) were suggested which may be considered as potential therapeutic targets in future studies. Key messages Metabolic profile of the ocular surface can be measured using impression cytology samples. Metabolomics analysis of ocular pemphigoid is presented for the first time. The metabolomics assessment of OCP patients revealed active oxylipins, lysophospholipids, fatty acids, and endocannabinoids alterations. Several oxylipins are identified as diagnostic biomarkers for OCP.
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15
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Cao Y, Huang P, Chen J, Ge W, Hou D, Zhang G. Qualitative and quantitative detection of liver injury with terahertz time-domain spectroscopy. BIOMEDICAL OPTICS EXPRESS 2020; 11:982-993. [PMID: 32133233 PMCID: PMC7041463 DOI: 10.1364/boe.381660] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 01/10/2020] [Accepted: 01/11/2020] [Indexed: 05/05/2023]
Abstract
Terahertz technology has been widely used as a nondestructive and effective detection method. Herein, terahertz time-domain spectroscopy was used to detect drug-induced liver injury in mice. Firstly, the boxplots were used to detect abnormal data. Then the maximal information coefficient method was used to search for the features strongly correlated with the degree of injury. After that, the liver injury model was built using the random forests method in machine learning. The results show that this method can effectively identify the degree of liver injury and thus provide an auxiliary diagnostic method for detecting minor liver injury.
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Affiliation(s)
- Yuqi Cao
- State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China
| | - Pingjie Huang
- State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China
| | - Jiani Chen
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang, China
| | - Weiting Ge
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang, China
| | - Dibo Hou
- State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China
| | - Guangxin Zhang
- State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China
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16
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Klein CF, Holle SLK, Andersen MH, Pedersen A, Bundgaard H, Iversen KK, Malmendal A. In-hospital metabolite changes in infective endocarditis-a longitudinal 1H NMR-based study. Eur J Clin Microbiol Infect Dis 2019; 38:1553-1560. [PMID: 31119577 DOI: 10.1007/s10096-019-03586-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Accepted: 05/10/2019] [Indexed: 11/28/2022]
Abstract
Treatment of infective endocarditis (IE) is a 4-6-week provided course of intravenously administered antibiotics. The aim of this study was to investigate how serum metabolites as measured by proton nuclear magnetic resonance (1H NMR) spectroscopy are changing over time during the active phase of IE, and to see whether these metabolite changes might be used to monitor recovery in these patients. Patients hospitalized with first-time IE at Herlev Hospital, Denmark, from September 2015 to June 2017 were included. Longitudinal blood sampling was performed and serum was analyzed using 1H NMR. Orthogonal projection to latent structures discriminant analysis (OPLS-DA) was used to separate sample groups and analyze differences in metabolite profiles. Thirteen patients were included in the study (77% men, median age 62 years (IQR 53-77)). All patients were cured during the hospitalization without any relapse during 6 months of follow-up. We analyzed 61 serum samples (median 5 samples, range 2-8 per person) drawn in the treatment period after IE diagnosis. The main changes during the in-hospital period were decreased levels of glucose, mannose, leucine, isoleucine, phenylalanine, tyrosine, and signals from polyols and N-acetylated protein. The metabolomic changes could in contrast to the routinely used parameters CRP and leucocyte levels distinguish between the early and late stages of disease treatment. We present the first longitudinal study of 1H NMR metabolomics in patients with infective endocarditis. The metabolomic changes show a promising strength compared to routinely used clinical parameters.
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Affiliation(s)
- Christine Falk Klein
- Department of Cardiology, Herlev Gentofte Hospital, Herlev Ringvej 75, 2730, Copenhagen, Herlev, Denmark.
| | | | - Malene Højgaard Andersen
- Department of Cardiology, Herlev Gentofte Hospital, Herlev Ringvej 75, 2730, Copenhagen, Herlev, Denmark
| | - Anders Pedersen
- The Swedish NMR Centre, University of Gothenburg, Hasselbladlaboratoriet, Medicinaregatan 5C, 41390, Göteborg, Sweden
| | - Henning Bundgaard
- Department of Cardiology, Copenhagen University Hospital, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark.,Copenhagen Health Science Partners, 2200, København, Denmark
| | - Kasper Karmark Iversen
- Department of Cardiology, Herlev Gentofte Hospital, Herlev Ringvej 75, 2730, Copenhagen, Herlev, Denmark.,Copenhagen Health Science Partners, 2200, København, Denmark
| | - Anders Malmendal
- Department of Chemistry, Lund University, P.O. Box 124, SE-22100, Lund, Sweden.
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