Cargando…
Plasma Metabolomics Predicts Chemotherapy Response in Advanced Pancreatic Cancer
SIMPLE SUMMARY: Pancreatic cancer is a clinically heterogeneous disease, and treatment leads to different outcomes for people with similar diagnoses. Identifying patients who may respond to chemotherapy and thereby benefit from improved survival has important implications for treatment protocols. In...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252041/ https://www.ncbi.nlm.nih.gov/pubmed/37296982 http://dx.doi.org/10.3390/cancers15113020 |
_version_ | 1785056076186517504 |
---|---|
author | Muranaka, Hayato Hendifar, Andrew Osipov, Arsen Moshayedi, Natalie Placencio-Hickok, Veronica Tatonetti, Nicholas Stotland, Aleksandr Parker, Sarah Van Eyk, Jennifer Pandol, Stephen J. Bhowmick, Neil A. Gong, Jun |
author_facet | Muranaka, Hayato Hendifar, Andrew Osipov, Arsen Moshayedi, Natalie Placencio-Hickok, Veronica Tatonetti, Nicholas Stotland, Aleksandr Parker, Sarah Van Eyk, Jennifer Pandol, Stephen J. Bhowmick, Neil A. Gong, Jun |
author_sort | Muranaka, Hayato |
collection | PubMed |
description | SIMPLE SUMMARY: Pancreatic cancer is a clinically heterogeneous disease, and treatment leads to different outcomes for people with similar diagnoses. Identifying patients who may respond to chemotherapy and thereby benefit from improved survival has important implications for treatment protocols. In this study, plasma metabolite profiling was performed to identify potential biomarker candidates that can predict the response of patients to different neoadjuvant chemotherapy regimens for pancreatic cancer. The concentrations of several metabolites from LC–MS were significantly different when comparing the response to chemotherapy. Several metabolites demonstrated a predictive performance for the response to chemotherapy. These results show promise for larger studies that would validate the findings, which could contribute to the development of more personalized treatment protocols for pancreatic cancer patients. ABSTRACT: Pancreatic cancer (PC) is one of the deadliest cancers. Developing biomarkers for chemotherapeutic response prediction is crucial for improving the dismal prognosis of advanced-PC patients (pts). To evaluate the potential of plasma metabolites as predictors of the response to chemotherapy for PC patients, we analyzed plasma metabolites using high-performance liquid chromatography–mass spectrometry from 31 cachectic, advanced-PC subjects enrolled into the PANCAX-1 (NCT02400398) prospective trial to receive a jejunal tube peptide-based diet for 12 weeks and who were planned for palliative chemotherapy. Overall, there were statistically significant differences in the levels of intermediates of multiple metabolic pathways in pts with a partial response (PR)/stable disease (SD) vs. progressive disease (PD) to chemotherapy. When stratified by the chemotherapy regimen, PD after 5-fluorouracil-based chemotherapy (e.g., FOLFIRINOX) was associated with decreased levels of amino acids (AAs). For gemcitabine-based chemotherapy (e.g., gemcitabine/nab-paclitaxel), PD was associated with increased levels of intermediates of glycolysis, the TCA cycle, nucleoside synthesis, and bile acid metabolism. These results demonstrate the feasibility of plasma metabolomics in a prospective cohort of advanced-PC patients for assessing the effect of enteral feeding as their primary source of nutrition. Metabolic signatures unique to FOLFIRINOX or gemcitabine/nab-paclitaxel may be predictive of a patient’s response and warrant further study. |
format | Online Article Text |
id | pubmed-10252041 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102520412023-06-10 Plasma Metabolomics Predicts Chemotherapy Response in Advanced Pancreatic Cancer Muranaka, Hayato Hendifar, Andrew Osipov, Arsen Moshayedi, Natalie Placencio-Hickok, Veronica Tatonetti, Nicholas Stotland, Aleksandr Parker, Sarah Van Eyk, Jennifer Pandol, Stephen J. Bhowmick, Neil A. Gong, Jun Cancers (Basel) Article SIMPLE SUMMARY: Pancreatic cancer is a clinically heterogeneous disease, and treatment leads to different outcomes for people with similar diagnoses. Identifying patients who may respond to chemotherapy and thereby benefit from improved survival has important implications for treatment protocols. In this study, plasma metabolite profiling was performed to identify potential biomarker candidates that can predict the response of patients to different neoadjuvant chemotherapy regimens for pancreatic cancer. The concentrations of several metabolites from LC–MS were significantly different when comparing the response to chemotherapy. Several metabolites demonstrated a predictive performance for the response to chemotherapy. These results show promise for larger studies that would validate the findings, which could contribute to the development of more personalized treatment protocols for pancreatic cancer patients. ABSTRACT: Pancreatic cancer (PC) is one of the deadliest cancers. Developing biomarkers for chemotherapeutic response prediction is crucial for improving the dismal prognosis of advanced-PC patients (pts). To evaluate the potential of plasma metabolites as predictors of the response to chemotherapy for PC patients, we analyzed plasma metabolites using high-performance liquid chromatography–mass spectrometry from 31 cachectic, advanced-PC subjects enrolled into the PANCAX-1 (NCT02400398) prospective trial to receive a jejunal tube peptide-based diet for 12 weeks and who were planned for palliative chemotherapy. Overall, there were statistically significant differences in the levels of intermediates of multiple metabolic pathways in pts with a partial response (PR)/stable disease (SD) vs. progressive disease (PD) to chemotherapy. When stratified by the chemotherapy regimen, PD after 5-fluorouracil-based chemotherapy (e.g., FOLFIRINOX) was associated with decreased levels of amino acids (AAs). For gemcitabine-based chemotherapy (e.g., gemcitabine/nab-paclitaxel), PD was associated with increased levels of intermediates of glycolysis, the TCA cycle, nucleoside synthesis, and bile acid metabolism. These results demonstrate the feasibility of plasma metabolomics in a prospective cohort of advanced-PC patients for assessing the effect of enteral feeding as their primary source of nutrition. Metabolic signatures unique to FOLFIRINOX or gemcitabine/nab-paclitaxel may be predictive of a patient’s response and warrant further study. MDPI 2023-06-01 /pmc/articles/PMC10252041/ /pubmed/37296982 http://dx.doi.org/10.3390/cancers15113020 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Muranaka, Hayato Hendifar, Andrew Osipov, Arsen Moshayedi, Natalie Placencio-Hickok, Veronica Tatonetti, Nicholas Stotland, Aleksandr Parker, Sarah Van Eyk, Jennifer Pandol, Stephen J. Bhowmick, Neil A. Gong, Jun Plasma Metabolomics Predicts Chemotherapy Response in Advanced Pancreatic Cancer |
title | Plasma Metabolomics Predicts Chemotherapy Response in Advanced Pancreatic Cancer |
title_full | Plasma Metabolomics Predicts Chemotherapy Response in Advanced Pancreatic Cancer |
title_fullStr | Plasma Metabolomics Predicts Chemotherapy Response in Advanced Pancreatic Cancer |
title_full_unstemmed | Plasma Metabolomics Predicts Chemotherapy Response in Advanced Pancreatic Cancer |
title_short | Plasma Metabolomics Predicts Chemotherapy Response in Advanced Pancreatic Cancer |
title_sort | plasma metabolomics predicts chemotherapy response in advanced pancreatic cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252041/ https://www.ncbi.nlm.nih.gov/pubmed/37296982 http://dx.doi.org/10.3390/cancers15113020 |
work_keys_str_mv | AT muranakahayato plasmametabolomicspredictschemotherapyresponseinadvancedpancreaticcancer AT hendifarandrew plasmametabolomicspredictschemotherapyresponseinadvancedpancreaticcancer AT osipovarsen plasmametabolomicspredictschemotherapyresponseinadvancedpancreaticcancer AT moshayedinatalie plasmametabolomicspredictschemotherapyresponseinadvancedpancreaticcancer AT placenciohickokveronica plasmametabolomicspredictschemotherapyresponseinadvancedpancreaticcancer AT tatonettinicholas plasmametabolomicspredictschemotherapyresponseinadvancedpancreaticcancer AT stotlandaleksandr plasmametabolomicspredictschemotherapyresponseinadvancedpancreaticcancer AT parkersarah plasmametabolomicspredictschemotherapyresponseinadvancedpancreaticcancer AT vaneykjennifer plasmametabolomicspredictschemotherapyresponseinadvancedpancreaticcancer AT pandolstephenj plasmametabolomicspredictschemotherapyresponseinadvancedpancreaticcancer AT bhowmickneila plasmametabolomicspredictschemotherapyresponseinadvancedpancreaticcancer AT gongjun plasmametabolomicspredictschemotherapyresponseinadvancedpancreaticcancer |