Abstract C076: Transcriptomic analyses of normal human pancreatic acinar cells reveal the presence of cancer subtypes that correlate with acinar ductal metaplasia

Abstract Gene expression subtypes exist in pancreatic ductal adenocarcinoma (PDAC), however comparable subtypes are not known to exist in normal human pancreas. Our laboratory has collected a large (N=55) and racially diverse (14 Black, 27 White and 14 Hispanic) cohort of normal human pancreatic acinar cell specimens that were processed at islet transplantation centers. Deceased organ donors were maintained on life support until the time the pancreas was surgically removed. Samples of primary, uncultured (Day 0) or ADM transdifferentiated (Day 6) normal pancreatic acinar cells were subjected to bulk transcriptomic sequencing. UMAP analysis of the transcriptomic data from the Day 0 samples revealed the presence of two distinguishable clusters of data that we arbitrarily refer to as Group 1 (n = 31) and Group 2 (n = 24). Heatmaps of the expression of 57 genes belonging to the exocrine-like, classical and basal subtypes produced a clear separation of the data. Since the exocrine-like genes increased in Group 1 and the basal and classical genes increased in Group 2, we refer to Group 1 as the exocrine-like subtype and Group 2 as the basal/classical subtype. The basal/classical subtype samples showed greater morphological and molecular acinar ductal metaplasia compared to those in the exocrine-like subtype. When stratified by demographics and subtype, volcano plots revealed a striking trend with Blacks, women, obese and younger individuals having significantly fewer differentially expressed genes (basal/classical vs exocrine-like) compared to Hispanics, men, nonobese and older individuals. Our data demonstrate that, similar to PDAC, normal pancreatic acinar cells are distinguishable by gene subtypes. Moreover, the gene expression ratio of these subtypes varies dramatically by donor demographics. Citation Format: Corey M Perkins, Jinmai Jiang, Zachary Greenberg, Md Abu Talha Siddique, Linda C Williams, Jason O Brant, Kalyanne Shirlekar, Bo Han, Jamel Ali, Kristianna M Fredenburg, Kiley Graim, Diana J Wilkie, Mei He, Thomas D Schmittgen. Transcriptomic analyses of normal human pancreatic acinar cells reveal the presence of cancer subtypes that correlate with acinar ductal metaplasia [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research; 2024 Sep 15-18; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl_2):Abstract nr C076.

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Journal
Cancer Research
Published
2024-09-15
DOI
https://doi.org/10.1158/1538-7445.pancreatic24-c076
Primary Topic
Pancreatic and Hepatic Oncology Research
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article
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article

Abstract C076: Transcriptomic analyses of normal human pancreatic acinar cells reveal the presence of cancer subtypes that correlate with acinar ductal metaplasia

Thomas D. Schmittgen, Kiley Graim, Jason O. Brant, Corey M. Perkins et al.
Cancer Research
Pancreatic and Hepatic Oncology Research
article

Abstract C076: Transcriptomic analyses of normal human pancreatic acinar cells reveal the presence of cancer subtypes that correlate with acinar ductal metaplasia

Thomas D. Schmittgen, Kiley Graim, Jason O. Brant, Corey M. Perkins, Md Abu Talha. Siddique, Kristianna M. Fredenburg, Bo Han, Mei He, Zachary Greenberg, Diana J. Wilkie, Jamel Ali, Kalyanne Shirlekar, Linda C Williams, Jinmai Jiang
article en

Abstract

Abstract Gene expression subtypes exist in pancreatic ductal adenocarcinoma (PDAC), however comparable subtypes are not known to exist in normal human pancreas. Our laboratory has collected a large (N=55) and racially diverse (14 Black, 27 White and 14 Hispanic) cohort of normal human pancreatic acinar cell specimens that were processed at islet transplantation centers. Deceased organ donors were maintained on life support until the time the pancreas was surgically removed. Samples of primary, uncultured (Day 0) or ADM transdifferentiated (Day 6) normal pancreatic acinar cells were subjected to bulk transcriptomic sequencing. UMAP analysis of the transcriptomic data from the Day 0 samples revealed the presence of two distinguishable clusters of data that we arbitrarily refer to as Group 1 (n = 31) and Group 2 (n = 24). Heatmaps of the expression of 57 genes belonging to the exocrine-like, classical and basal subtypes produced a clear separation of the data. Since the exocrine-like genes increased in Group 1 and the basal and classical genes increased in Group 2, we refer to Group 1 as the exocrine-like subtype and Group 2 as the basal/classical subtype. The basal/classical subtype samples showed greater morphological and molecular acinar ductal metaplasia compared to those in the exocrine-like subtype. When stratified by demographics and subtype, volcano plots revealed a striking trend with Blacks, women, obese and younger individuals having significantly fewer differentially expressed genes (basal/classical vs exocrine-like) compared to Hispanics, men, nonobese and older individuals. Our data demonstrate that, similar to PDAC, normal pancreatic acinar cells are distinguishable by gene subtypes. Moreover, the gene expression ratio of these subtypes varies dramatically by donor demographics. Citation Format: Corey M Perkins, Jinmai Jiang, Zachary Greenberg, Md Abu Talha Siddique, Linda C Williams, Jason O Brant, Kalyanne Shirlekar, Bo Han, Jamel Ali, Kristianna M Fredenburg, Kiley Graim, Diana J Wilkie, Mei He, Thomas D Schmittgen. Transcriptomic analyses of normal human pancreatic acinar cells reveal the presence of cancer subtypes that correlate with acinar ductal metaplasia [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research; 2024 Sep 15-18; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl_2):Abstract nr C076.

Cancer ResearchVol. 84(17_Supplement_2)
University of Southern California (US), University of Florida (US), Florida Agricultural and Mechanical University (US)
Openalex Percentile: Top 74%
Pancreatic and Hepatic Oncology Research
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