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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
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.
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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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