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A blood-based metabolomic signature predictive of risk for pancreatic cancer
Emerging evidence implicates microbiome involvement in the development of pancreatic cancer (PaCa). Here, we investigate whether increases in circulating microbial-related metabolites associate with PaCa risk by applying metabolomics profiling to 172 sera collected within 5 years prior to PaCa diagn...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518621/ https://www.ncbi.nlm.nih.gov/pubmed/37729870 http://dx.doi.org/10.1016/j.xcrm.2023.101194 |
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author | Irajizad, Ehsan Kenney, Ana Tang, Tiffany Vykoukal, Jody Wu, Ranran Murage, Eunice Dennison, Jennifer B. Sans, Marta Long, James P. Loftus, Maureen Chabot, John A. Kluger, Michael D. Kastrinos, Fay Brais, Lauren Babic, Ana Jajoo, Kunal Lee, Linda S. Clancy, Thomas E. Ng, Kimmie Bullock, Andrea Genkinger, Jeanine M. Maitra, Anirban Do, Kim-Anh Yu, Bin Wolpin, Brian M. Hanash, Sam Fahrmann, Johannes F. |
author_facet | Irajizad, Ehsan Kenney, Ana Tang, Tiffany Vykoukal, Jody Wu, Ranran Murage, Eunice Dennison, Jennifer B. Sans, Marta Long, James P. Loftus, Maureen Chabot, John A. Kluger, Michael D. Kastrinos, Fay Brais, Lauren Babic, Ana Jajoo, Kunal Lee, Linda S. Clancy, Thomas E. Ng, Kimmie Bullock, Andrea Genkinger, Jeanine M. Maitra, Anirban Do, Kim-Anh Yu, Bin Wolpin, Brian M. Hanash, Sam Fahrmann, Johannes F. |
author_sort | Irajizad, Ehsan |
collection | PubMed |
description | Emerging evidence implicates microbiome involvement in the development of pancreatic cancer (PaCa). Here, we investigate whether increases in circulating microbial-related metabolites associate with PaCa risk by applying metabolomics profiling to 172 sera collected within 5 years prior to PaCa diagnosis and 863 matched non-subject sera from participants in the Prostate, Lung, Colorectal, and Ovarian (PLCO) cohort. We develop a three-marker microbial-related metabolite panel to assess 5-year risk of PaCa. The addition of five non-microbial metabolites further improves 5-year risk prediction of PaCa. The combined metabolite panel complements CA19-9, and individuals with a combined metabolite panel + CA19-9 score in the top 2.5th percentile have absolute 5-year risk estimates of >13%. The risk prediction model based on circulating microbial and non-microbial metabolites provides a potential tool to identify individuals at high risk of PaCa that would benefit from surveillance and/or from potential cancer interception strategies. |
format | Online Article Text |
id | pubmed-10518621 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105186212023-09-26 A blood-based metabolomic signature predictive of risk for pancreatic cancer Irajizad, Ehsan Kenney, Ana Tang, Tiffany Vykoukal, Jody Wu, Ranran Murage, Eunice Dennison, Jennifer B. Sans, Marta Long, James P. Loftus, Maureen Chabot, John A. Kluger, Michael D. Kastrinos, Fay Brais, Lauren Babic, Ana Jajoo, Kunal Lee, Linda S. Clancy, Thomas E. Ng, Kimmie Bullock, Andrea Genkinger, Jeanine M. Maitra, Anirban Do, Kim-Anh Yu, Bin Wolpin, Brian M. Hanash, Sam Fahrmann, Johannes F. Cell Rep Med Article Emerging evidence implicates microbiome involvement in the development of pancreatic cancer (PaCa). Here, we investigate whether increases in circulating microbial-related metabolites associate with PaCa risk by applying metabolomics profiling to 172 sera collected within 5 years prior to PaCa diagnosis and 863 matched non-subject sera from participants in the Prostate, Lung, Colorectal, and Ovarian (PLCO) cohort. We develop a three-marker microbial-related metabolite panel to assess 5-year risk of PaCa. The addition of five non-microbial metabolites further improves 5-year risk prediction of PaCa. The combined metabolite panel complements CA19-9, and individuals with a combined metabolite panel + CA19-9 score in the top 2.5th percentile have absolute 5-year risk estimates of >13%. The risk prediction model based on circulating microbial and non-microbial metabolites provides a potential tool to identify individuals at high risk of PaCa that would benefit from surveillance and/or from potential cancer interception strategies. Elsevier 2023-09-19 /pmc/articles/PMC10518621/ /pubmed/37729870 http://dx.doi.org/10.1016/j.xcrm.2023.101194 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Irajizad, Ehsan Kenney, Ana Tang, Tiffany Vykoukal, Jody Wu, Ranran Murage, Eunice Dennison, Jennifer B. Sans, Marta Long, James P. Loftus, Maureen Chabot, John A. Kluger, Michael D. Kastrinos, Fay Brais, Lauren Babic, Ana Jajoo, Kunal Lee, Linda S. Clancy, Thomas E. Ng, Kimmie Bullock, Andrea Genkinger, Jeanine M. Maitra, Anirban Do, Kim-Anh Yu, Bin Wolpin, Brian M. Hanash, Sam Fahrmann, Johannes F. A blood-based metabolomic signature predictive of risk for pancreatic cancer |
title | A blood-based metabolomic signature predictive of risk for pancreatic cancer |
title_full | A blood-based metabolomic signature predictive of risk for pancreatic cancer |
title_fullStr | A blood-based metabolomic signature predictive of risk for pancreatic cancer |
title_full_unstemmed | A blood-based metabolomic signature predictive of risk for pancreatic cancer |
title_short | A blood-based metabolomic signature predictive of risk for pancreatic cancer |
title_sort | blood-based metabolomic signature predictive of risk for pancreatic cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518621/ https://www.ncbi.nlm.nih.gov/pubmed/37729870 http://dx.doi.org/10.1016/j.xcrm.2023.101194 |
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