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Digital spatial profiling of intraductal papillary mucinous neoplasms: Toward a molecular framework for risk stratification
The histopathologic heterogeneity of intraductal papillary mucinous neoplasms (IPMN) complicates the prediction of pancreatic ductal adenocarcinoma (PDAC) risk. Intratumoral regions of pancreaticobiliary (PB), intestinal (INT), and gastric foveolar (GF) epithelium may occur with either low-grade dys...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022906/ https://www.ncbi.nlm.nih.gov/pubmed/36930707 http://dx.doi.org/10.1126/sciadv.ade4582 |
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author | Iyer, Matthew K. Shi, Chanjuan Eckhoff, Austin M. Fletcher, Ashley Nussbaum, Daniel P. Allen, Peter J. |
author_facet | Iyer, Matthew K. Shi, Chanjuan Eckhoff, Austin M. Fletcher, Ashley Nussbaum, Daniel P. Allen, Peter J. |
author_sort | Iyer, Matthew K. |
collection | PubMed |
description | The histopathologic heterogeneity of intraductal papillary mucinous neoplasms (IPMN) complicates the prediction of pancreatic ductal adenocarcinoma (PDAC) risk. Intratumoral regions of pancreaticobiliary (PB), intestinal (INT), and gastric foveolar (GF) epithelium may occur with either low-grade dysplasia (LGD) or high-grade dysplasia (HGD). We used digital spatial RNA profiling of dysplastic epithelium (83 regions) from surgically resected IPMN tissues (12 patients) to differentiate subtypes and predict genes associated with malignancy. The expression patterns of PB and GF lesions diverged from INT, suggesting that PB and GF arise from a common lineage. Transcriptional dysregulation within PB lesions mirrored that of PDAC, whereas INT and GF foci did not. Tumor necrosis factor/nuclear factor κB (TNF-NFκB) and cell cycle (cycling S and cycling G(2)-M) programs occurred with relative prominence in PB and INT subtypes, respectively. Together, this study delineates markers of high-risk IPMN and insights into malignant progression. |
format | Online Article Text |
id | pubmed-10022906 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-100229062023-03-18 Digital spatial profiling of intraductal papillary mucinous neoplasms: Toward a molecular framework for risk stratification Iyer, Matthew K. Shi, Chanjuan Eckhoff, Austin M. Fletcher, Ashley Nussbaum, Daniel P. Allen, Peter J. Sci Adv Biomedicine and Life Sciences The histopathologic heterogeneity of intraductal papillary mucinous neoplasms (IPMN) complicates the prediction of pancreatic ductal adenocarcinoma (PDAC) risk. Intratumoral regions of pancreaticobiliary (PB), intestinal (INT), and gastric foveolar (GF) epithelium may occur with either low-grade dysplasia (LGD) or high-grade dysplasia (HGD). We used digital spatial RNA profiling of dysplastic epithelium (83 regions) from surgically resected IPMN tissues (12 patients) to differentiate subtypes and predict genes associated with malignancy. The expression patterns of PB and GF lesions diverged from INT, suggesting that PB and GF arise from a common lineage. Transcriptional dysregulation within PB lesions mirrored that of PDAC, whereas INT and GF foci did not. Tumor necrosis factor/nuclear factor κB (TNF-NFκB) and cell cycle (cycling S and cycling G(2)-M) programs occurred with relative prominence in PB and INT subtypes, respectively. Together, this study delineates markers of high-risk IPMN and insights into malignant progression. American Association for the Advancement of Science 2023-03-17 /pmc/articles/PMC10022906/ /pubmed/36930707 http://dx.doi.org/10.1126/sciadv.ade4582 Text en Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Biomedicine and Life Sciences Iyer, Matthew K. Shi, Chanjuan Eckhoff, Austin M. Fletcher, Ashley Nussbaum, Daniel P. Allen, Peter J. Digital spatial profiling of intraductal papillary mucinous neoplasms: Toward a molecular framework for risk stratification |
title | Digital spatial profiling of intraductal papillary mucinous neoplasms: Toward a molecular framework for risk stratification |
title_full | Digital spatial profiling of intraductal papillary mucinous neoplasms: Toward a molecular framework for risk stratification |
title_fullStr | Digital spatial profiling of intraductal papillary mucinous neoplasms: Toward a molecular framework for risk stratification |
title_full_unstemmed | Digital spatial profiling of intraductal papillary mucinous neoplasms: Toward a molecular framework for risk stratification |
title_short | Digital spatial profiling of intraductal papillary mucinous neoplasms: Toward a molecular framework for risk stratification |
title_sort | digital spatial profiling of intraductal papillary mucinous neoplasms: toward a molecular framework for risk stratification |
topic | Biomedicine and Life Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022906/ https://www.ncbi.nlm.nih.gov/pubmed/36930707 http://dx.doi.org/10.1126/sciadv.ade4582 |
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