Altered plasma metabolite levels can be detected years before a glioma diagnosis
Genetic and metabolic changes in tissue and blood are reported to occur several years before glioma diagnosis. Since gliomas are currently detected late, a liquid biopsy for early detection could affect the quality of life and prognosis of patients. Here, we present a nested case-control study of 55...
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Umeå universitet, Onkologi
2023
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-215372 https://doi.org/10.1172/jci.insight.171225 |
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ftumeauniv:oai:DiVA.org:umu-215372 2023-11-12T04:23:23+01:00 Altered plasma metabolite levels can be detected years before a glioma diagnosis Löding, Sebastian Andersson, Ulrika Kaaks, Rudolf Schulze, Matthias B. Pala, Valeria Urbarova, Ilona Amiano, Pilar Colorado-Yohar, Sandra M. Guevara, Marcela Heath, Alicia K. Chatziioannou, Anastasia Chrysovalantou Johansson, Mattias Nyberg, Lars Antti, Henrik Björkblom, Benny Melin, Beatrice S. 2023 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-215372 https://doi.org/10.1172/jci.insight.171225 eng eng Umeå universitet, Onkologi Umeå universitet, Institutionen för integrativ medicinsk biologi (IMB) Umeå universitet, Diagnostisk radiologi Department of Chemistry Biobank Reserach Unit Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Ministry of Health of the Basque Government, Public Health Laboratory in Gipuzkoa, San Sebastián, Spain; Epidemiology of Chronic and Comunnicable Diseases Area, Biodonostia Health Research Institute, San Sebastián, Spain CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Department of Epidemiology, Murcia Regional Health Council, IMIB, Murcia, Spain; Research Group on Demography and Health, National Faculty of Public Health, University of Antioquia, Medellín, Colombia CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Institute of Public and Labor Health and Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC), Lyon, France Genomic Epidemiology Branch, IARC, Lyon, France JCI Insight, 2379-3708, 2023, 8:19, orcid:0000-0002-3367-1746 http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-215372 doi:10.1172/jci.insight.171225 PMID 37651185 Scopus 2-s2.0-85173580693 info:eu-repo/semantics/openAccess Brain cancer Metabolism Oncology Cancer and Oncology Cancer och onkologi Article in journal info:eu-repo/semantics/article text 2023 ftumeauniv https://doi.org/10.1172/jci.insight.171225 2023-11-01T23:36:27Z Genetic and metabolic changes in tissue and blood are reported to occur several years before glioma diagnosis. Since gliomas are currently detected late, a liquid biopsy for early detection could affect the quality of life and prognosis of patients. Here, we present a nested case-control study of 550 prediagnostic glioma cases and 550 healthy controls from the Northern Sweden Health and Disease study (NSHDS) and the European Prospective Investigation into Cancer and Nutrition (EPIC) study. We identified 93 significantly altered metabolites related to glioma development up to 8 years before diagnosis. Out of these metabolites, a panel of 20 selected metabolites showed strong disease correlation and a consistent progression pattern toward diagnosis in both the NSHDS and EPIC cohorts, and they separated future cases from controls independently of biological sex. The blood metabolite panel also successfully separated both lower-grade glioma and glioblastoma cases from controls, up to 8 years before diagnosis in patients within the NSHDS cohort and up to 2 years before diagnosis in EPIC. Pathway enrichment analysis detected metabolites related to the TCA cycle, Warburg effect, gluconeogenesis, and cysteine, pyruvate, and tyrosine metabolism as the most affected. Article in Journal/Newspaper Northern Sweden Umeå University: Publications (DiVA) JCI Insight 8 19 |
institution |
Open Polar |
collection |
Umeå University: Publications (DiVA) |
op_collection_id |
ftumeauniv |
language |
English |
topic |
Brain cancer Metabolism Oncology Cancer and Oncology Cancer och onkologi |
spellingShingle |
Brain cancer Metabolism Oncology Cancer and Oncology Cancer och onkologi Löding, Sebastian Andersson, Ulrika Kaaks, Rudolf Schulze, Matthias B. Pala, Valeria Urbarova, Ilona Amiano, Pilar Colorado-Yohar, Sandra M. Guevara, Marcela Heath, Alicia K. Chatziioannou, Anastasia Chrysovalantou Johansson, Mattias Nyberg, Lars Antti, Henrik Björkblom, Benny Melin, Beatrice S. Altered plasma metabolite levels can be detected years before a glioma diagnosis |
topic_facet |
Brain cancer Metabolism Oncology Cancer and Oncology Cancer och onkologi |
description |
Genetic and metabolic changes in tissue and blood are reported to occur several years before glioma diagnosis. Since gliomas are currently detected late, a liquid biopsy for early detection could affect the quality of life and prognosis of patients. Here, we present a nested case-control study of 550 prediagnostic glioma cases and 550 healthy controls from the Northern Sweden Health and Disease study (NSHDS) and the European Prospective Investigation into Cancer and Nutrition (EPIC) study. We identified 93 significantly altered metabolites related to glioma development up to 8 years before diagnosis. Out of these metabolites, a panel of 20 selected metabolites showed strong disease correlation and a consistent progression pattern toward diagnosis in both the NSHDS and EPIC cohorts, and they separated future cases from controls independently of biological sex. The blood metabolite panel also successfully separated both lower-grade glioma and glioblastoma cases from controls, up to 8 years before diagnosis in patients within the NSHDS cohort and up to 2 years before diagnosis in EPIC. Pathway enrichment analysis detected metabolites related to the TCA cycle, Warburg effect, gluconeogenesis, and cysteine, pyruvate, and tyrosine metabolism as the most affected. |
format |
Article in Journal/Newspaper |
author |
Löding, Sebastian Andersson, Ulrika Kaaks, Rudolf Schulze, Matthias B. Pala, Valeria Urbarova, Ilona Amiano, Pilar Colorado-Yohar, Sandra M. Guevara, Marcela Heath, Alicia K. Chatziioannou, Anastasia Chrysovalantou Johansson, Mattias Nyberg, Lars Antti, Henrik Björkblom, Benny Melin, Beatrice S. |
author_facet |
Löding, Sebastian Andersson, Ulrika Kaaks, Rudolf Schulze, Matthias B. Pala, Valeria Urbarova, Ilona Amiano, Pilar Colorado-Yohar, Sandra M. Guevara, Marcela Heath, Alicia K. Chatziioannou, Anastasia Chrysovalantou Johansson, Mattias Nyberg, Lars Antti, Henrik Björkblom, Benny Melin, Beatrice S. |
author_sort |
Löding, Sebastian |
title |
Altered plasma metabolite levels can be detected years before a glioma diagnosis |
title_short |
Altered plasma metabolite levels can be detected years before a glioma diagnosis |
title_full |
Altered plasma metabolite levels can be detected years before a glioma diagnosis |
title_fullStr |
Altered plasma metabolite levels can be detected years before a glioma diagnosis |
title_full_unstemmed |
Altered plasma metabolite levels can be detected years before a glioma diagnosis |
title_sort |
altered plasma metabolite levels can be detected years before a glioma diagnosis |
publisher |
Umeå universitet, Onkologi |
publishDate |
2023 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-215372 https://doi.org/10.1172/jci.insight.171225 |
genre |
Northern Sweden |
genre_facet |
Northern Sweden |
op_relation |
JCI Insight, 2379-3708, 2023, 8:19, orcid:0000-0002-3367-1746 http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-215372 doi:10.1172/jci.insight.171225 PMID 37651185 Scopus 2-s2.0-85173580693 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1172/jci.insight.171225 |
container_title |
JCI Insight |
container_volume |
8 |
container_issue |
19 |
_version_ |
1782338170260553728 |