A blood-based metabolomic signature predictive of risk for pancreatic cancer

Ehsan Irajizad; Ana Kenney; Tiffany Tang; Jody Vykoukal; Ranran Wu; Eunice Murage; Jennifer B. Dennison; Marta Sans; James P. Long; Maureen Loftus; John A. Chabot; Michael D. Kluger; Fay Kastrinos; Lauren Brais; Ana Babic; Kunal Jajoo; Linda S. Lee; Thomas E. Clancy; Kimmie Ng; Andrea Bullock; Jeanine M. Genkinger; Anirban Maitra; Kim Anh Do; Bin Yu; Brian M. Wolpin; Sam Hanash; Johannes F. Fahrmann

doi:10.1016/j.xcrm.2023.101194

A blood-based metabolomic signature predictive of risk for pancreatic cancer

Ehsan Irajizad, Ana Kenney, Tiffany Tang, Jody Vykoukal, Ranran Wu, Eunice Murage, Jennifer B. Dennison, Marta Sans, James P. Long, Maureen Loftus, John A. Chabot, Michael D. Kluger, Fay Kastrinos, Lauren Brais, Ana Babic, Kunal Jajoo, Linda S. Lee, Thomas E. Clancy, Kimmie Ng, Andrea BullockJeanine M. Genkinger, Anirban Maitra, Kim Anh Do, Bin Yu, Brian M. Wolpin, Sam Hanash, Johannes F. Fahrmann

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

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.

Original language	English (US)
Article number	101194
Journal	Cell Reports Medicine
Volume	4
Issue number	9
DOIs	https://doi.org/10.1016/j.xcrm.2023.101194
State	Published - Sep 19 2023

Keywords

biomarker
metabolites
microbiome
pancreatic cancer
risk assessment

ASJC Scopus subject areas

General Biochemistry, Genetics and Molecular Biology

MD Anderson CCSG core facilities

Biostatistics Resource Group

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10.1016/j.xcrm.2023.101194

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Irajizad, E., Kenney, A., Tang, T., Vykoukal, J., Wu, R., Murage, E., Dennison, J. B., Sans, M., Long, J. P., Loftus, M., Chabot, J. A., Kluger, M. D., Kastrinos, F., Brais, L., Babic, A., Jajoo, K., Lee, L. S., Clancy, T. E., Ng, K., ... Fahrmann, J. F. (2023). A blood-based metabolomic signature predictive of risk for pancreatic cancer. Cell Reports Medicine, 4(9), Article 101194. https://doi.org/10.1016/j.xcrm.2023.101194

Irajizad, E, Kenney, A, Tang, T, Vykoukal, J , Wu, R, Murage, E, Dennison, JB, Sans, M, Long, JP, Loftus, M, Chabot, JA, Kluger, MD, Kastrinos, F, Brais, L, Babic, A, Jajoo, K, Lee, LS, Clancy, TE, Ng, K, Bullock, A, Genkinger, JM, Maitra, A , Do, KA, Yu, B, Wolpin, BM, Hanash, S & Fahrmann, JF 2023, 'A blood-based metabolomic signature predictive of risk for pancreatic cancer', Cell Reports Medicine, vol. 4, no. 9, 101194. https://doi.org/10.1016/j.xcrm.2023.101194

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title = "A blood-based metabolomic signature predictive of risk for pancreatic cancer",

abstract = "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.",

keywords = "biomarker, metabolites, microbiome, pancreatic cancer, risk assessment",

author = "Ehsan Irajizad and Ana Kenney and Tiffany Tang and Jody Vykoukal and Ranran Wu and Eunice Murage and Dennison, {Jennifer B.} and Marta Sans and Long, {James P.} and Maureen Loftus and Chabot, {John A.} and Kluger, {Michael D.} and Fay Kastrinos and Lauren Brais and Ana Babic and Kunal Jajoo and Lee, {Linda S.} and Clancy, {Thomas E.} and Kimmie Ng and Andrea Bullock and Genkinger, {Jeanine M.} and Anirban Maitra and Do, {Kim Anh} and Bin Yu and Wolpin, {Brian M.} and Sam Hanash and Fahrmann, {Johannes F.}",

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doi = "10.1016/j.xcrm.2023.101194",

language = "English (US)",

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AU - Irajizad, Ehsan

AU - Kenney, Ana

AU - Tang, Tiffany

AU - Vykoukal, Jody

AU - Wu, Ranran

AU - Murage, Eunice

AU - Dennison, Jennifer B.

AU - Sans, Marta

AU - Long, James P.

AU - Loftus, Maureen

AU - Chabot, John A.

AU - Kluger, Michael D.

AU - Kastrinos, Fay

AU - Brais, Lauren

AU - Babic, Ana

AU - Jajoo, Kunal

AU - Lee, Linda S.

AU - Clancy, Thomas E.

AU - Ng, Kimmie

AU - Bullock, Andrea

AU - Genkinger, Jeanine M.

AU - Maitra, Anirban

AU - Do, Kim Anh

AU - Yu, Bin

AU - Wolpin, Brian M.

AU - Hanash, Sam

AU - Fahrmann, Johannes F.

PY - 2023/9/19

Y1 - 2023/9/19

N2 - 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.

AB - 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.

KW - biomarker

KW - metabolites

KW - microbiome

KW - pancreatic cancer

KW - risk assessment

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A blood-based metabolomic signature predictive of risk for pancreatic cancer

Abstract

Keywords

ASJC Scopus subject areas

MD Anderson CCSG core facilities

Access to Document

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