Perturbations in the blood metabolome up to a decade before prostate cancer diagnosis in 4387 matched case-control sets from the European Prospective Investigation into Cancer and Nutrition.
Zoe S Grenville, Urwah Noor, Sabina Rinaldi, Marc J Gunter, Pietro Ferrari, Claudia Agnoli, Pilar Amiano, Alberto Catalano, María Dolores Chirlaque, Sofia Christakoudi, Marcela Guevara, Matthias Johansson, Rudolf Kaaks, Verena Katzke, Giovanna Masala, Anja Olsen, Keren Papier, Maria-Jose Sánchez, Matthias B Schulze, Anne Tjønneland, Tammy Y N Tong, Rosario Tumino, Elisabete Weiderpass, Raul Zamora-Ros, Timothy J Key, Karl Smith-Byrne, Julie A Schmidt, Ruth C Travis
{"title":"Perturbations in the blood metabolome up to a decade before prostate cancer diagnosis in 4387 matched case-control sets from the European Prospective Investigation into Cancer and Nutrition.","authors":"Zoe S Grenville, Urwah Noor, Sabina Rinaldi, Marc J Gunter, Pietro Ferrari, Claudia Agnoli, Pilar Amiano, Alberto Catalano, María Dolores Chirlaque, Sofia Christakoudi, Marcela Guevara, Matthias Johansson, Rudolf Kaaks, Verena Katzke, Giovanna Masala, Anja Olsen, Keren Papier, Maria-Jose Sánchez, Matthias B Schulze, Anne Tjønneland, Tammy Y N Tong, Rosario Tumino, Elisabete Weiderpass, Raul Zamora-Ros, Timothy J Key, Karl Smith-Byrne, Julie A Schmidt, Ruth C Travis","doi":"10.1002/ijc.35208","DOIUrl":null,"url":null,"abstract":"<p><p>Measuring pre-diagnostic blood metabolites may help identify novel risk factors for prostate cancer. Using data from 4387 matched case-control pairs from the European Prospective Investigation into Cancer and Nutrition (EPIC) study, we investigated the associations of 148 individual metabolites and three previously defined metabolite patterns with prostate cancer risk. Metabolites were measured by liquid chromatography-mass spectrometry. Multivariable-adjusted conditional logistic regression was used to estimate the odds ratio per standard deviation increase in log metabolite concentration and metabolite patterns (OR1SD) for prostate cancer overall, and for advanced, high-grade, aggressive. We corrected for multiple testing using the Benjamini-Hochberg method. Overall, there were no associations between specific metabolites or metabolite patterns and overall, aggressive, or high-grade prostate cancer that passed the multiple testing threshold (padj <0.05). Six phosphatidylcholines (PCs) were inversely associated with advanced prostate cancer diagnosed at or within 10 years of blood collection. metabolite patterns 1 (64 PCs and three hydroxysphingomyelins) and 2 (two acylcarnitines, glutamate, ornithine, and taurine) were also inversely associated with advanced prostate cancer; when stratified by follow-up time, these associations were observed for diagnoses at or within 10 years of recruitment (OR<sub>1SD</sub> 0.80, 95% CI 0.66-0.96 and 0.76, 0.59-0.97, respectively) but were weaker after longer follow-up (0.95, 0.82-1.10 and 0.85, 0.67-1.06). Pattern 3 (8 lyso PCs) was associated with prostate cancer death (0.82, 0.68-0.98). Our results suggest that the plasma metabolite profile changes in response to the presence of prostate cancer up to a decade before detection of advanced-stage disease.</p>","PeriodicalId":180,"journal":{"name":"International Journal of Cancer","volume":" ","pages":""},"PeriodicalIF":5.7000,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Cancer","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/ijc.35208","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Measuring pre-diagnostic blood metabolites may help identify novel risk factors for prostate cancer. Using data from 4387 matched case-control pairs from the European Prospective Investigation into Cancer and Nutrition (EPIC) study, we investigated the associations of 148 individual metabolites and three previously defined metabolite patterns with prostate cancer risk. Metabolites were measured by liquid chromatography-mass spectrometry. Multivariable-adjusted conditional logistic regression was used to estimate the odds ratio per standard deviation increase in log metabolite concentration and metabolite patterns (OR1SD) for prostate cancer overall, and for advanced, high-grade, aggressive. We corrected for multiple testing using the Benjamini-Hochberg method. Overall, there were no associations between specific metabolites or metabolite patterns and overall, aggressive, or high-grade prostate cancer that passed the multiple testing threshold (padj <0.05). Six phosphatidylcholines (PCs) were inversely associated with advanced prostate cancer diagnosed at or within 10 years of blood collection. metabolite patterns 1 (64 PCs and three hydroxysphingomyelins) and 2 (two acylcarnitines, glutamate, ornithine, and taurine) were also inversely associated with advanced prostate cancer; when stratified by follow-up time, these associations were observed for diagnoses at or within 10 years of recruitment (OR1SD 0.80, 95% CI 0.66-0.96 and 0.76, 0.59-0.97, respectively) but were weaker after longer follow-up (0.95, 0.82-1.10 and 0.85, 0.67-1.06). Pattern 3 (8 lyso PCs) was associated with prostate cancer death (0.82, 0.68-0.98). Our results suggest that the plasma metabolite profile changes in response to the presence of prostate cancer up to a decade before detection of advanced-stage disease.
期刊介绍:
The International Journal of Cancer (IJC) is the official journal of the Union for International Cancer Control—UICC; it appears twice a month. IJC invites submission of manuscripts under a broad scope of topics relevant to experimental and clinical cancer research and publishes original Research Articles and Short Reports under the following categories:
-Cancer Epidemiology-
Cancer Genetics and Epigenetics-
Infectious Causes of Cancer-
Innovative Tools and Methods-
Molecular Cancer Biology-
Tumor Immunology and Microenvironment-
Tumor Markers and Signatures-
Cancer Therapy and Prevention