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Three-dimensional genomic mapping of human pancreatic tissue reveals striking multifocality and genetic heterogeneity in precancerous lesions

Pancreatic intraepithelial neoplasia (PanIN) is a precursor to pancreatic cancer and represents a critical opportunity for cancer interception. However, the number, size, shape, and connectivity of PanINs in human pancreatic tissue samples are largely unknown. In this study, we quantitatively assess...

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Autores principales: Braxton, Alicia M, Kiemen, Ashley L, Grahn, Mia P, Forjaz, André, Babu, Jaanvi Mahesh, Zheng, Lily, Jiang, Liping, Cheng, Haixia, Song, Qianqian, Reichel, Rebecca, Graham, Sarah, Damanakis, Alexander I, Fischer, Catherine G, Mou, Stephanie, Metz, Cameron, Granger, Julie, Liu, Xiao-Ding, Bachmann, Niklas, Almagro-Pérez, Cristina, Jiang, Ann Chenyu, Yoo, Jeonghyun, Kim, Bridgette, Du, Scott, Foster, Eli, Hsu, Jocelyn Y, Rivera, Paula Andreu, Chu, Linda C, Liu, Fengze, Niknafs, Noushin, Fishman, Elliot K, Yuille, Alan, Roberts, Nicholas J, Thompson, Elizabeth D, Scharpf, Robert B, Cornish, Toby C, Jiao, Yuchen, Karchin, Rachel, Hruban, Ralph H, Wu, Pei-Hsun, Wirtz, Denis, Wood, Laura D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900989/
https://www.ncbi.nlm.nih.gov/pubmed/36747709
http://dx.doi.org/10.1101/2023.01.27.525553
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author Braxton, Alicia M
Kiemen, Ashley L
Grahn, Mia P
Forjaz, André
Babu, Jaanvi Mahesh
Zheng, Lily
Jiang, Liping
Cheng, Haixia
Song, Qianqian
Reichel, Rebecca
Graham, Sarah
Damanakis, Alexander I
Fischer, Catherine G
Mou, Stephanie
Metz, Cameron
Granger, Julie
Liu, Xiao-Ding
Bachmann, Niklas
Almagro-Pérez, Cristina
Jiang, Ann Chenyu
Yoo, Jeonghyun
Kim, Bridgette
Du, Scott
Foster, Eli
Hsu, Jocelyn Y
Rivera, Paula Andreu
Chu, Linda C
Liu, Fengze
Niknafs, Noushin
Fishman, Elliot K
Yuille, Alan
Roberts, Nicholas J
Thompson, Elizabeth D
Scharpf, Robert B
Cornish, Toby C
Jiao, Yuchen
Karchin, Rachel
Hruban, Ralph H
Wu, Pei-Hsun
Wirtz, Denis
Wood, Laura D
author_facet Braxton, Alicia M
Kiemen, Ashley L
Grahn, Mia P
Forjaz, André
Babu, Jaanvi Mahesh
Zheng, Lily
Jiang, Liping
Cheng, Haixia
Song, Qianqian
Reichel, Rebecca
Graham, Sarah
Damanakis, Alexander I
Fischer, Catherine G
Mou, Stephanie
Metz, Cameron
Granger, Julie
Liu, Xiao-Ding
Bachmann, Niklas
Almagro-Pérez, Cristina
Jiang, Ann Chenyu
Yoo, Jeonghyun
Kim, Bridgette
Du, Scott
Foster, Eli
Hsu, Jocelyn Y
Rivera, Paula Andreu
Chu, Linda C
Liu, Fengze
Niknafs, Noushin
Fishman, Elliot K
Yuille, Alan
Roberts, Nicholas J
Thompson, Elizabeth D
Scharpf, Robert B
Cornish, Toby C
Jiao, Yuchen
Karchin, Rachel
Hruban, Ralph H
Wu, Pei-Hsun
Wirtz, Denis
Wood, Laura D
author_sort Braxton, Alicia M
collection PubMed
description Pancreatic intraepithelial neoplasia (PanIN) is a precursor to pancreatic cancer and represents a critical opportunity for cancer interception. However, the number, size, shape, and connectivity of PanINs in human pancreatic tissue samples are largely unknown. In this study, we quantitatively assessed human PanINs using CODA, a novel machine-learning pipeline for 3D image analysis that generates quantifiable models of large pieces of human pancreas with single-cell resolution. Using a cohort of 38 large slabs of grossly normal human pancreas from surgical resection specimens, we identified striking multifocality of PanINs, with a mean burden of 13 spatially separate PanINs per cm(3) of sampled tissue. Extrapolating this burden to the entire pancreas suggested a median of approximately 1000 PanINs in an entire pancreas. In order to better understand the clonal relationships within and between PanINs, we developed a pipeline for CODA-guided multi-region genomic analysis of PanINs, including targeted and whole exome sequencing. Multi-region assessment of 37 PanINs from eight additional human pancreatic tissue slabs revealed that almost all PanINs contained hotspot mutations in the oncogene KRAS, but no gene other than KRAS was altered in more than 20% of the analyzed PanINs. PanINs contained a mean of 13 somatic mutations per region when analyzed by whole exome sequencing. The majority of analyzed PanINs originated from independent clonal events, with distinct somatic mutation profiles between PanINs in the same tissue slab. A subset of the analyzed PanINs contained multiple KRAS mutations, suggesting a polyclonal origin even in PanINs that are contiguous by rigorous 3D assessment. This study leverages a novel 3D genomic mapping approach to describe, for the first time, the spatial and genetic multifocality of human PanINs, providing important insights into the initiation and progression of pancreatic neoplasia.
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spelling pubmed-99009892023-02-07 Three-dimensional genomic mapping of human pancreatic tissue reveals striking multifocality and genetic heterogeneity in precancerous lesions Braxton, Alicia M Kiemen, Ashley L Grahn, Mia P Forjaz, André Babu, Jaanvi Mahesh Zheng, Lily Jiang, Liping Cheng, Haixia Song, Qianqian Reichel, Rebecca Graham, Sarah Damanakis, Alexander I Fischer, Catherine G Mou, Stephanie Metz, Cameron Granger, Julie Liu, Xiao-Ding Bachmann, Niklas Almagro-Pérez, Cristina Jiang, Ann Chenyu Yoo, Jeonghyun Kim, Bridgette Du, Scott Foster, Eli Hsu, Jocelyn Y Rivera, Paula Andreu Chu, Linda C Liu, Fengze Niknafs, Noushin Fishman, Elliot K Yuille, Alan Roberts, Nicholas J Thompson, Elizabeth D Scharpf, Robert B Cornish, Toby C Jiao, Yuchen Karchin, Rachel Hruban, Ralph H Wu, Pei-Hsun Wirtz, Denis Wood, Laura D bioRxiv Article Pancreatic intraepithelial neoplasia (PanIN) is a precursor to pancreatic cancer and represents a critical opportunity for cancer interception. However, the number, size, shape, and connectivity of PanINs in human pancreatic tissue samples are largely unknown. In this study, we quantitatively assessed human PanINs using CODA, a novel machine-learning pipeline for 3D image analysis that generates quantifiable models of large pieces of human pancreas with single-cell resolution. Using a cohort of 38 large slabs of grossly normal human pancreas from surgical resection specimens, we identified striking multifocality of PanINs, with a mean burden of 13 spatially separate PanINs per cm(3) of sampled tissue. Extrapolating this burden to the entire pancreas suggested a median of approximately 1000 PanINs in an entire pancreas. In order to better understand the clonal relationships within and between PanINs, we developed a pipeline for CODA-guided multi-region genomic analysis of PanINs, including targeted and whole exome sequencing. Multi-region assessment of 37 PanINs from eight additional human pancreatic tissue slabs revealed that almost all PanINs contained hotspot mutations in the oncogene KRAS, but no gene other than KRAS was altered in more than 20% of the analyzed PanINs. PanINs contained a mean of 13 somatic mutations per region when analyzed by whole exome sequencing. The majority of analyzed PanINs originated from independent clonal events, with distinct somatic mutation profiles between PanINs in the same tissue slab. A subset of the analyzed PanINs contained multiple KRAS mutations, suggesting a polyclonal origin even in PanINs that are contiguous by rigorous 3D assessment. This study leverages a novel 3D genomic mapping approach to describe, for the first time, the spatial and genetic multifocality of human PanINs, providing important insights into the initiation and progression of pancreatic neoplasia. Cold Spring Harbor Laboratory 2023-01-28 /pmc/articles/PMC9900989/ /pubmed/36747709 http://dx.doi.org/10.1101/2023.01.27.525553 Text en https://creativecommons.org/licenses/by-nd/4.0/This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Braxton, Alicia M
Kiemen, Ashley L
Grahn, Mia P
Forjaz, André
Babu, Jaanvi Mahesh
Zheng, Lily
Jiang, Liping
Cheng, Haixia
Song, Qianqian
Reichel, Rebecca
Graham, Sarah
Damanakis, Alexander I
Fischer, Catherine G
Mou, Stephanie
Metz, Cameron
Granger, Julie
Liu, Xiao-Ding
Bachmann, Niklas
Almagro-Pérez, Cristina
Jiang, Ann Chenyu
Yoo, Jeonghyun
Kim, Bridgette
Du, Scott
Foster, Eli
Hsu, Jocelyn Y
Rivera, Paula Andreu
Chu, Linda C
Liu, Fengze
Niknafs, Noushin
Fishman, Elliot K
Yuille, Alan
Roberts, Nicholas J
Thompson, Elizabeth D
Scharpf, Robert B
Cornish, Toby C
Jiao, Yuchen
Karchin, Rachel
Hruban, Ralph H
Wu, Pei-Hsun
Wirtz, Denis
Wood, Laura D
Three-dimensional genomic mapping of human pancreatic tissue reveals striking multifocality and genetic heterogeneity in precancerous lesions
title Three-dimensional genomic mapping of human pancreatic tissue reveals striking multifocality and genetic heterogeneity in precancerous lesions
title_full Three-dimensional genomic mapping of human pancreatic tissue reveals striking multifocality and genetic heterogeneity in precancerous lesions
title_fullStr Three-dimensional genomic mapping of human pancreatic tissue reveals striking multifocality and genetic heterogeneity in precancerous lesions
title_full_unstemmed Three-dimensional genomic mapping of human pancreatic tissue reveals striking multifocality and genetic heterogeneity in precancerous lesions
title_short Three-dimensional genomic mapping of human pancreatic tissue reveals striking multifocality and genetic heterogeneity in precancerous lesions
title_sort three-dimensional genomic mapping of human pancreatic tissue reveals striking multifocality and genetic heterogeneity in precancerous lesions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900989/
https://www.ncbi.nlm.nih.gov/pubmed/36747709
http://dx.doi.org/10.1101/2023.01.27.525553
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