Single-Cell Analysis Differentiates the Effects of p53 Mutation and p53 Loss on Cell Compositions of Oncogenic Kras-Driven Pancreatic Cancer

Pancreatic ductal adenocarcinoma (PDAC) is a devastating malignant disease with a dismal prognosis. In the past decades, a plethora of genetically engineered mouse models (GEMMs) with autochthonous pancreatic tumor development have greatly facilitated studies of pancreatic cancer. Commonly used GEMM...

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Main Authors: Xinlei Sun, Daowei Yang, Yang Chen
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Cells
Subjects:
Online Access:https://www.mdpi.com/2073-4409/12/22/2614
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author Xinlei Sun
Daowei Yang
Yang Chen
author_facet Xinlei Sun
Daowei Yang
Yang Chen
author_sort Xinlei Sun
collection DOAJ
description Pancreatic ductal adenocarcinoma (PDAC) is a devastating malignant disease with a dismal prognosis. In the past decades, a plethora of genetically engineered mouse models (GEMMs) with autochthonous pancreatic tumor development have greatly facilitated studies of pancreatic cancer. Commonly used GEMMs of PDAC often harbor the oncogenic KRAS driver mutation (<i>Kras<sup>G12D</sup></i>), in combination with either p53 mutation by knock-in strategy (<i>Trp53<sup>R172H</sup></i>) or p53 loss by conditional knockout (<i>Trp53<sup>cKO</sup></i>) strategy, in pancreatic cell lineages. However, the systematic comparison of the tumor microenvironment between <i>Kras<sup>G12D</sup></i>; <i>Trp53<sup>R172H</sup></i> (KP<sup>mut</sup>) mouse models and <i>Kras<sup>G12D</sup></i>; <i>Trp53<sup>cKO</sup></i> (KP<sup>loss</sup>) mouse models is still lacking. In this study, we conducted cross-dataset single-cell RNA-sequencing (scRNA-seq) analyses to compare the pancreatic tumor microenvironment from KP<sup>mut</sup> mouse models and KP<sup>loss</sup> mouse models, especially focusing on the cell compositions and transcriptomic phenotypes of major cell types including cancer cells, B cells, T cells, granulocytes, myeloid cells, cancer-associated fibroblasts, and endothelial cells. We identified the similarities and differences between KP<sup>mut</sup> and KP<sup>loss</sup> mouse models, revealing the effects of p53 mutation and p53 loss on oncogenic KRAS-driven pancreatic tumor progression.
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spelling doaj.art-3673c9519ae34f6c999a2d7404c820da2023-11-24T14:35:17ZengMDPI AGCells2073-44092023-11-011222261410.3390/cells12222614Single-Cell Analysis Differentiates the Effects of p53 Mutation and p53 Loss on Cell Compositions of Oncogenic Kras-Driven Pancreatic CancerXinlei Sun0Daowei Yang1Yang Chen2Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USADepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USADepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USAPancreatic ductal adenocarcinoma (PDAC) is a devastating malignant disease with a dismal prognosis. In the past decades, a plethora of genetically engineered mouse models (GEMMs) with autochthonous pancreatic tumor development have greatly facilitated studies of pancreatic cancer. Commonly used GEMMs of PDAC often harbor the oncogenic KRAS driver mutation (<i>Kras<sup>G12D</sup></i>), in combination with either p53 mutation by knock-in strategy (<i>Trp53<sup>R172H</sup></i>) or p53 loss by conditional knockout (<i>Trp53<sup>cKO</sup></i>) strategy, in pancreatic cell lineages. However, the systematic comparison of the tumor microenvironment between <i>Kras<sup>G12D</sup></i>; <i>Trp53<sup>R172H</sup></i> (KP<sup>mut</sup>) mouse models and <i>Kras<sup>G12D</sup></i>; <i>Trp53<sup>cKO</sup></i> (KP<sup>loss</sup>) mouse models is still lacking. In this study, we conducted cross-dataset single-cell RNA-sequencing (scRNA-seq) analyses to compare the pancreatic tumor microenvironment from KP<sup>mut</sup> mouse models and KP<sup>loss</sup> mouse models, especially focusing on the cell compositions and transcriptomic phenotypes of major cell types including cancer cells, B cells, T cells, granulocytes, myeloid cells, cancer-associated fibroblasts, and endothelial cells. We identified the similarities and differences between KP<sup>mut</sup> and KP<sup>loss</sup> mouse models, revealing the effects of p53 mutation and p53 loss on oncogenic KRAS-driven pancreatic tumor progression.https://www.mdpi.com/2073-4409/12/22/2614pancreatic cancertumor microenvironmentsingle-cell analysis
spellingShingle Xinlei Sun
Daowei Yang
Yang Chen
Single-Cell Analysis Differentiates the Effects of p53 Mutation and p53 Loss on Cell Compositions of Oncogenic Kras-Driven Pancreatic Cancer
Cells
pancreatic cancer
tumor microenvironment
single-cell analysis
title Single-Cell Analysis Differentiates the Effects of p53 Mutation and p53 Loss on Cell Compositions of Oncogenic Kras-Driven Pancreatic Cancer
title_full Single-Cell Analysis Differentiates the Effects of p53 Mutation and p53 Loss on Cell Compositions of Oncogenic Kras-Driven Pancreatic Cancer
title_fullStr Single-Cell Analysis Differentiates the Effects of p53 Mutation and p53 Loss on Cell Compositions of Oncogenic Kras-Driven Pancreatic Cancer
title_full_unstemmed Single-Cell Analysis Differentiates the Effects of p53 Mutation and p53 Loss on Cell Compositions of Oncogenic Kras-Driven Pancreatic Cancer
title_short Single-Cell Analysis Differentiates the Effects of p53 Mutation and p53 Loss on Cell Compositions of Oncogenic Kras-Driven Pancreatic Cancer
title_sort single cell analysis differentiates the effects of p53 mutation and p53 loss on cell compositions of oncogenic kras driven pancreatic cancer
topic pancreatic cancer
tumor microenvironment
single-cell analysis
url https://www.mdpi.com/2073-4409/12/22/2614
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AT daoweiyang singlecellanalysisdifferentiatestheeffectsofp53mutationandp53lossoncellcompositionsofoncogenickrasdrivenpancreaticcancer
AT yangchen singlecellanalysisdifferentiatestheeffectsofp53mutationandp53lossoncellcompositionsofoncogenickrasdrivenpancreaticcancer