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In situ profiling reveals metabolic alterations in the tumor microenvironment of ovarian cancer after chemotherapy
In this study, we investigated the metabolic alterations associated with clinical response to chemotherapy in patients with ovarian cancer. Pre- and post-neoadjuvant chemotherapy (NACT) tissues from patients with high-grade serous ovarian cancer (HGSC) who had poor response (PR) or excellent respons...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10624842/ https://www.ncbi.nlm.nih.gov/pubmed/37923835 http://dx.doi.org/10.1038/s41698-023-00454-0 |
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author | Corvigno, Sara Badal, Sunil Spradlin, Meredith L. Keating, Michael Pereira, Igor Stur, Elaine Bayraktar, Emine Foster, Katherine I. Bateman, Nicholas W. Barakat, Waleed Darcy, Kathleen M. Conrads, Thomas P. Maxwell, G. Larry Lorenzi, Philip L. Lutgendorf, Susan K. Wen, Yunfei Zhao, Li Thaker, Premal H. Goodheart, Michael J. Liu, Jinsong Fleming, Nicole Lee, Sanghoon Eberlin, Livia S. Sood, Anil K. |
author_facet | Corvigno, Sara Badal, Sunil Spradlin, Meredith L. Keating, Michael Pereira, Igor Stur, Elaine Bayraktar, Emine Foster, Katherine I. Bateman, Nicholas W. Barakat, Waleed Darcy, Kathleen M. Conrads, Thomas P. Maxwell, G. Larry Lorenzi, Philip L. Lutgendorf, Susan K. Wen, Yunfei Zhao, Li Thaker, Premal H. Goodheart, Michael J. Liu, Jinsong Fleming, Nicole Lee, Sanghoon Eberlin, Livia S. Sood, Anil K. |
author_sort | Corvigno, Sara |
collection | PubMed |
description | In this study, we investigated the metabolic alterations associated with clinical response to chemotherapy in patients with ovarian cancer. Pre- and post-neoadjuvant chemotherapy (NACT) tissues from patients with high-grade serous ovarian cancer (HGSC) who had poor response (PR) or excellent response (ER) to NACT were examined. Desorption electrospray ionization mass spectrometry (DESI-MS) was performed on sections of HGSC tissues collected according to a rigorous laparoscopic triage algorithm. Quantitative MS-based proteomics and phosphoproteomics were performed on a subgroup of pre-NACT samples. Highly abundant metabolites in the pre-NACT PR tumors were related to pyrimidine metabolism in the epithelial regions and oxygen-dependent proline hydroxylation of hypoxia-inducible factor alpha in the stromal regions. Metabolites more abundant in the epithelial regions of post-NACT PR tumors were involved in the metabolism of nucleotides, and metabolites more abundant in the stromal regions of post-NACT PR tumors were related to aspartate and asparagine metabolism, phenylalanine and tyrosine metabolism, nucleotide biosynthesis, and the urea cycle. A predictive model built on ions with differential abundances allowed the classification of patients’ tumor responses as ER or PR with 75% accuracy (10-fold cross-validation ridge regression model). These findings offer new insights related to differential responses to chemotherapy and could lead to novel actionable targets. |
format | Online Article Text |
id | pubmed-10624842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106248422023-11-05 In situ profiling reveals metabolic alterations in the tumor microenvironment of ovarian cancer after chemotherapy Corvigno, Sara Badal, Sunil Spradlin, Meredith L. Keating, Michael Pereira, Igor Stur, Elaine Bayraktar, Emine Foster, Katherine I. Bateman, Nicholas W. Barakat, Waleed Darcy, Kathleen M. Conrads, Thomas P. Maxwell, G. Larry Lorenzi, Philip L. Lutgendorf, Susan K. Wen, Yunfei Zhao, Li Thaker, Premal H. Goodheart, Michael J. Liu, Jinsong Fleming, Nicole Lee, Sanghoon Eberlin, Livia S. Sood, Anil K. NPJ Precis Oncol Article In this study, we investigated the metabolic alterations associated with clinical response to chemotherapy in patients with ovarian cancer. Pre- and post-neoadjuvant chemotherapy (NACT) tissues from patients with high-grade serous ovarian cancer (HGSC) who had poor response (PR) or excellent response (ER) to NACT were examined. Desorption electrospray ionization mass spectrometry (DESI-MS) was performed on sections of HGSC tissues collected according to a rigorous laparoscopic triage algorithm. Quantitative MS-based proteomics and phosphoproteomics were performed on a subgroup of pre-NACT samples. Highly abundant metabolites in the pre-NACT PR tumors were related to pyrimidine metabolism in the epithelial regions and oxygen-dependent proline hydroxylation of hypoxia-inducible factor alpha in the stromal regions. Metabolites more abundant in the epithelial regions of post-NACT PR tumors were involved in the metabolism of nucleotides, and metabolites more abundant in the stromal regions of post-NACT PR tumors were related to aspartate and asparagine metabolism, phenylalanine and tyrosine metabolism, nucleotide biosynthesis, and the urea cycle. A predictive model built on ions with differential abundances allowed the classification of patients’ tumor responses as ER or PR with 75% accuracy (10-fold cross-validation ridge regression model). These findings offer new insights related to differential responses to chemotherapy and could lead to novel actionable targets. Nature Publishing Group UK 2023-11-03 /pmc/articles/PMC10624842/ /pubmed/37923835 http://dx.doi.org/10.1038/s41698-023-00454-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Corvigno, Sara Badal, Sunil Spradlin, Meredith L. Keating, Michael Pereira, Igor Stur, Elaine Bayraktar, Emine Foster, Katherine I. Bateman, Nicholas W. Barakat, Waleed Darcy, Kathleen M. Conrads, Thomas P. Maxwell, G. Larry Lorenzi, Philip L. Lutgendorf, Susan K. Wen, Yunfei Zhao, Li Thaker, Premal H. Goodheart, Michael J. Liu, Jinsong Fleming, Nicole Lee, Sanghoon Eberlin, Livia S. Sood, Anil K. In situ profiling reveals metabolic alterations in the tumor microenvironment of ovarian cancer after chemotherapy |
title | In situ profiling reveals metabolic alterations in the tumor microenvironment of ovarian cancer after chemotherapy |
title_full | In situ profiling reveals metabolic alterations in the tumor microenvironment of ovarian cancer after chemotherapy |
title_fullStr | In situ profiling reveals metabolic alterations in the tumor microenvironment of ovarian cancer after chemotherapy |
title_full_unstemmed | In situ profiling reveals metabolic alterations in the tumor microenvironment of ovarian cancer after chemotherapy |
title_short | In situ profiling reveals metabolic alterations in the tumor microenvironment of ovarian cancer after chemotherapy |
title_sort | in situ profiling reveals metabolic alterations in the tumor microenvironment of ovarian cancer after chemotherapy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10624842/ https://www.ncbi.nlm.nih.gov/pubmed/37923835 http://dx.doi.org/10.1038/s41698-023-00454-0 |
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