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Søiland H, Janssen EAM, Helland T, Eliassen FM, Hagland M, Nordgård O, Lunde S, Lende TH, Sagen JV, Tjensvoll K, Gilje B, Jonsdottir K, Gudlaugsson E, Lode K, Hagen KB, Gripsrud BH, Lind R, Heie A, Aas T, Austdal M, Egeland NG, Bernklev T, Lash TL, Skartveit L, Kroksveen AC, Oltedal S, Kvaløy JT, Lien EA, Sleire L, Mellgren G. Liquid biopsies and patient-reported outcome measures for integrative monitoring of patients with early-stage breast cancer: a study protocol for the longitudinal observational Prospective Breast Cancer Biobanking (PBCB) study. BMJ Open 2022; 12:e054404. [PMID: 35487718 PMCID: PMC9058781 DOI: 10.1136/bmjopen-2021-054404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
INTRODUCTION Breast cancer is still the most common malignancy among women worldwide. The Prospective Breast Cancer Biobank (PBCB) collects blood and urine from patients with breast cancer every 6 or 12 months for 11 years from 2011 to 2030 at two university hospitals in Western Norway. The project aims to identify new biomarkers that enable detection of systemic recurrences at the molecular level. As blood represents the biological interface between the primary tumour, the microenvironment and distant metastases, liquid biopsies represent the ideal medium to monitor the patient's cancer biology for identification of patients at high risk of relapse and for early detection systemic relapse.Including patient-reported outcome measures (PROMs) allows for a vast number of possibilities to compare PROM data with biological information, enabling the study of fatigue and Quality of Life in patients with breast cancer. METHODS AND ANALYSIS A total of 1455 patients with early-stage breast cancer are enrolled in the PBCB study, which has a one-armed prospective observational design. Participants consent to contribute liquid biopsies (i.e., peripheral blood and urine samples) every 6 or 12 months for 11 years. The liquid biopsies are the basis for detection of circulating tumour cells, circulating tumour DNA (ctDNA), exosomal micro-RNA (miRNA), miRNA in Tumour Educated Platelet and metabolomic profiles. In addition, participants respond to 10 PROM questionnaires collected annually. Moreover, a control group comprising 200 women without cancer aged 25-70 years will provide the same data. ETHICS AND DISSEMINATION The general research biobank PBCB was approved by the Ministry of Health and Care Services in 2007, by the Regional Ethics Committee (REK) in 2010 (#2010/1957). The PROM (#2011/2161) and the biomarker study PerMoBreCan (#2015/2010) were approved by REK in 2011 and 2015 respectively. Results will be published in international peer reviewed journals. Deidentified data will be accessible on request. TRIAL REGISTRATION NUMBER NCT04488614.
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Affiliation(s)
- Håvard Søiland
- Department of Breast and Endocrine Surgery, Stavanger University Hospital, Stavanger, Norway
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Emiel A M Janssen
- Department of Pathology, Stavanger University Hospital, Stavanger, Norway
- Department of Chemistry, Bioscience and Environmental Engineering, University of Stavanger, Stavanger, Norway
| | - Thomas Helland
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway
| | - Finn Magnus Eliassen
- Department of Breast and Endocrine Surgery, Stavanger University Hospital, Stavanger, Norway
| | - Magnus Hagland
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway
| | - Oddmund Nordgård
- Department of Hematology and Oncology, Stavanger University Hospital, Stavanger, Norway
- Department of Chemistry, Bioscience, University of Stavanger, Stavanger, Norway
| | - Siri Lunde
- Department of Breast and Endocrine Surgery, Stavanger University Hospital, Stavanger, Norway
| | - Tone Hoel Lende
- Department of Breast and Endocrine Surgery, Stavanger University Hospital, Stavanger, Norway
| | - Jørn Vegard Sagen
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway
| | - Kjersti Tjensvoll
- Department of Hematology and Oncology, Stavanger University Hospital, Stavanger, Norway
| | - Bjørnar Gilje
- Department of Oncology, Stavanger University Hospital, Stavanger, Norway
| | - Kristin Jonsdottir
- Department of Research, Stavanger University Hospital, Stavanger, Norway
| | - Einar Gudlaugsson
- Department of Pathology, Stavanger University Hospital, Stavanger, Norway
| | - Kirsten Lode
- Department of Research, Stavanger University Hospital, Stavanger, Norway
- Faculty of Health Sciences Department of Caring and Ethics, University of Stavanger, Stavanger, Norway
| | - Kari Britt Hagen
- Department of Breast and Endocrine Surgery, Haukeland University Hospital, Bergen, Norway
| | - Birgitta Haga Gripsrud
- Faculty of Health Sciences Department of Caring and Ethics, University of Stavanger, Stavanger, Norway
| | - Ragna Lind
- Department of Medicine, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Anette Heie
- Department of Breast and Endocrine Surgery, Haukeland University Hospital, Bergen, Norway
| | - Turid Aas
- Department of Breast and Endocrine Surgery, Haukeland University Hospital, Bergen, Norway
| | - Marie Austdal
- Department of Pathology, Stavanger University Hospital, Stavanger, Norway
- Department of Research, Stavanger University Hospital, Stavanger, Norway
| | - Nina Gran Egeland
- Department of Breast and Endocrine Surgery, Stavanger University Hospital, Stavanger, Norway
| | - Tomm Bernklev
- Central Hospital in Vestfold, Tønsberg, Norway
- Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Timothy L Lash
- Department of Epidemiology, Emory University, Atlanta, Georgia, USA
| | - Linn Skartveit
- Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway
| | | | - Satu Oltedal
- Department of Hematology and Oncology, Stavanger University Hospital, Stavanger, Norway
| | - Jan Terje Kvaløy
- Department of Research, Stavanger University Hospital, Stavanger, Norway
- Mathematics and Physics, Department of Mathematics and Natural Science, University of Stavanger, Stavanger, Norway
| | - Ernst A Lien
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Linda Sleire
- Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway
| | - Gunnar Mellgren
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Laboratory Medicine and Pathology, Haukeland University Hospital, Bergen, Norway
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Debik J, Sangermani M, Wang F, Madssen TS, Giskeødegård GF. Multivariate analysis of NMR-based metabolomic data. NMR IN BIOMEDICINE 2022; 35:e4638. [PMID: 34738674 DOI: 10.1002/nbm.4638] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 09/08/2021] [Accepted: 09/29/2021] [Indexed: 06/13/2023]
Abstract
Nuclear magnetic resonance (NMR) spectroscopy allows for simultaneous detection of a wide range of metabolites and lipids. As metabolites act together in complex metabolic networks, they are often highly correlated, and optimal biological insight is achieved when using methods that take the correlation into account. For this reason, latent-variable-based methods, such as principal component analysis and partial least-squares discriminant analysis, are widely used in metabolomic studies. However, with increasing availability of larger population cohorts, and a shift from analysis of spectral data to using quantified metabolite levels, both more traditional statistical approaches and alternative machine learning methods have become more widely used. This review aims at providing an overview of the current state-of-the-art multivariate methods for the analysis of NMR-based metabolomic data as well as alternative methods, highlighting their strengths and limitations.
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Affiliation(s)
- Julia Debik
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology-NTNU, Trondheim, Norway
| | - Matteo Sangermani
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology-NTNU, Trondheim, Norway
| | - Feng Wang
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology-NTNU, Trondheim, Norway
- Clinic of Surgery, St. Olavs Hospital HF, Trondheim, Norway
| | - Torfinn S Madssen
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology-NTNU, Trondheim, Norway
| | - Guro F Giskeødegård
- Clinic of Surgery, St. Olavs Hospital HF, Trondheim, Norway
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology-NTNU, Trondheim, Norway
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Suman S, Sharma RK, Kumar V, Sinha N, Shukla Y. Metabolic fingerprinting in breast cancer stages through 1H NMR spectroscopy-based metabolomic analysis of plasma. J Pharm Biomed Anal 2018; 160:38-45. [PMID: 30059813 DOI: 10.1016/j.jpba.2018.07.024] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Revised: 07/15/2018] [Accepted: 07/16/2018] [Indexed: 12/14/2022]
Abstract
Breast cancer (BC) is one of the most common malignancies among women worldwide, which is indeed associated with metabolic reprogramming. However, BC is a very complex and heterogeneous disease, which can relate with the changes in metabolic profiles during BC progression. Hence, investigating the metabolic alterations during BC stage progression may reveal the deregulated pathways and useful metabolic signatures of BC. To demonstrate the metabolic insights, we opted 1H NMR spectroscopy based metabolomics of blood plasma of early and late stage BC (N = 72) with age and gender matched healthy subjects (N = 50). Further, the metabolic profiles were analyzed to delineate the potential signatures of BC by performing multivariate and nonparametric statistical analysis in early and late stages of BC in comparison with healthy subjects. Sixteen metabolites levels were differentially changed (p < 0.05) in the early and late stages of BC from healthy subjects. Among them, the levels of hydroxybutyrate, lysine, glutamate, glucose, N-acetyl glycoprotein, Lactate were highly distinguished in BC stages and showed a good biomarker potential using receiver-operating curves based diagnostic models. Furthermore, the significant modulation and good diagnostic performances of glutamate, N-acetyl glycoprotein and Lactate in LBC as compared to EBC give their significance in the BC progression. In general, our observations demonstrate that these panels of metabolites may act as vital component of the metabolism of early to late stage BC progression. Our results also open new avenue towards early and late stage BC diagnosis and intervention implying metabolomics approaches.
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Affiliation(s)
- Shankar Suman
- Proteomics and Environmental Carcinogenesis Laboratory, Food, Drug and Chemical Toxicology Group, 31 Vishvigyan Bhawan, CSIR-Indian Institute of Toxicology Research, Mahatma Gandhi Marg, Post Box 80, Lucknow, 226001, India; Academy of Scientific and Innovative Research (AcSIR), CSIR-IITR Campus, Lucknow, India
| | - Raj Kumar Sharma
- Center of Biomedical Research, SGPGIMS-campus, Raibareilly Road, Lucknow, U.P., 226014, India
| | - Vijay Kumar
- Department of Surgical Oncology, King George's Medical University, Chowk, Lucknow, 226003, India
| | - Neeraj Sinha
- Center of Biomedical Research, SGPGIMS-campus, Raibareilly Road, Lucknow, U.P., 226014, India
| | - Yogeshwer Shukla
- Proteomics and Environmental Carcinogenesis Laboratory, Food, Drug and Chemical Toxicology Group, 31 Vishvigyan Bhawan, CSIR-Indian Institute of Toxicology Research, Mahatma Gandhi Marg, Post Box 80, Lucknow, 226001, India; Academy of Scientific and Innovative Research (AcSIR), CSIR-IITR Campus, Lucknow, India.
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