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Cross-Dataset Single-Cell Analysis Identifies Temporal Alterations in Cell Populations of Primary Pancreatic Tumor and Liver Metastasis
SIMPLE SUMMARY: Pancreatic cancer has a unique desmoplastic tumor microenvironment composed of various cell populations. However, the direct comparison of cell population composition across early-stage primary tumors, late-stage primary tumors, and metastatic tumors of PDAC is still lacking. In this...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137114/ https://www.ncbi.nlm.nih.gov/pubmed/37190324 http://dx.doi.org/10.3390/cancers15082396 |
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author | Yang, Daowei Moniruzzaman, Rohan Wang, Hua Wang, Huamin Chen, Yang |
author_facet | Yang, Daowei Moniruzzaman, Rohan Wang, Hua Wang, Huamin Chen, Yang |
author_sort | Yang, Daowei |
collection | PubMed |
description | SIMPLE SUMMARY: Pancreatic cancer has a unique desmoplastic tumor microenvironment composed of various cell populations. However, the direct comparison of cell population composition across early-stage primary tumors, late-stage primary tumors, and metastatic tumors of PDAC is still lacking. In this study, we combined and analyzed single-cell RNA-sequencing analysis (scRNA-seq) datasets of transgenic mouse models with autochthonous pancreatic tumors and liver metastases. Our results revealed the unique tumor ecosystem and cell composition of liver metastases in contrast to primary pancreatic tumors. Specifically, liver metastases exhibited different compositions of major cell populations, including cancer cells, cancer-associated fibroblasts, endothelial cells, lymphocytes, myeloid cells, and granulocytes/neutrophils, compared with primary tumors. We also identified several unique markers, including HMGA1, that were upregulated in cancer cell subpopulations of liver metastases. The unique cell subpopulation composition and genetic profile of liver metastases may provide new insights into potential therapeutic targets and diagnostic markers for metastatic pancreatic cancer. ABSTRACT: Pancreatic ductal adenocarcinoma (PDAC) has a unique tumor microenvironment composed of various cell populations such as cancer cells, cancer-associated fibroblasts (CAFs), immune cells, and endothelial cells. Recently, single-cell RNA-sequencing analysis (scRNA-seq) has systemically revealed the genomic profiles of these cell populations in PDAC. However, the direct comparison of cell population composition and genomic profile between primary tumors (at both early- and late-stage) and metastatic tumors of PDAC is still lacking. In this study, we combined and analyzed recent scRNA-seq datasets of transgenic KPC mouse models with autochthonous PDAC and matched liver metastasis, revealing the unique tumor ecosystem and cell composition of liver metastasis in contrast to primary PDAC. Metastatic PDAC tumors harbor distinct cancer cell subpopulations from primary tumors. Several unique markers, including HMGA1, were identified for metastasis-enriched cancer cell subpopulations. Furthermore, metastatic tumors reveal significantly enriched granulocytic myeloid-derived suppressor cells (G-MDSCs), mature neutrophils, and granulocyte-myeloid progenitors (GMPs). A common GMP population across primary tumors, liver metastases, and healthy bone marrow was identified as the putative cell origin of tumor-associated neutrophils/granulocytes. |
format | Online Article Text |
id | pubmed-10137114 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-101371142023-04-28 Cross-Dataset Single-Cell Analysis Identifies Temporal Alterations in Cell Populations of Primary Pancreatic Tumor and Liver Metastasis Yang, Daowei Moniruzzaman, Rohan Wang, Hua Wang, Huamin Chen, Yang Cancers (Basel) Article SIMPLE SUMMARY: Pancreatic cancer has a unique desmoplastic tumor microenvironment composed of various cell populations. However, the direct comparison of cell population composition across early-stage primary tumors, late-stage primary tumors, and metastatic tumors of PDAC is still lacking. In this study, we combined and analyzed single-cell RNA-sequencing analysis (scRNA-seq) datasets of transgenic mouse models with autochthonous pancreatic tumors and liver metastases. Our results revealed the unique tumor ecosystem and cell composition of liver metastases in contrast to primary pancreatic tumors. Specifically, liver metastases exhibited different compositions of major cell populations, including cancer cells, cancer-associated fibroblasts, endothelial cells, lymphocytes, myeloid cells, and granulocytes/neutrophils, compared with primary tumors. We also identified several unique markers, including HMGA1, that were upregulated in cancer cell subpopulations of liver metastases. The unique cell subpopulation composition and genetic profile of liver metastases may provide new insights into potential therapeutic targets and diagnostic markers for metastatic pancreatic cancer. ABSTRACT: Pancreatic ductal adenocarcinoma (PDAC) has a unique tumor microenvironment composed of various cell populations such as cancer cells, cancer-associated fibroblasts (CAFs), immune cells, and endothelial cells. Recently, single-cell RNA-sequencing analysis (scRNA-seq) has systemically revealed the genomic profiles of these cell populations in PDAC. However, the direct comparison of cell population composition and genomic profile between primary tumors (at both early- and late-stage) and metastatic tumors of PDAC is still lacking. In this study, we combined and analyzed recent scRNA-seq datasets of transgenic KPC mouse models with autochthonous PDAC and matched liver metastasis, revealing the unique tumor ecosystem and cell composition of liver metastasis in contrast to primary PDAC. Metastatic PDAC tumors harbor distinct cancer cell subpopulations from primary tumors. Several unique markers, including HMGA1, were identified for metastasis-enriched cancer cell subpopulations. Furthermore, metastatic tumors reveal significantly enriched granulocytic myeloid-derived suppressor cells (G-MDSCs), mature neutrophils, and granulocyte-myeloid progenitors (GMPs). A common GMP population across primary tumors, liver metastases, and healthy bone marrow was identified as the putative cell origin of tumor-associated neutrophils/granulocytes. MDPI 2023-04-21 /pmc/articles/PMC10137114/ /pubmed/37190324 http://dx.doi.org/10.3390/cancers15082396 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yang, Daowei Moniruzzaman, Rohan Wang, Hua Wang, Huamin Chen, Yang Cross-Dataset Single-Cell Analysis Identifies Temporal Alterations in Cell Populations of Primary Pancreatic Tumor and Liver Metastasis |
title | Cross-Dataset Single-Cell Analysis Identifies Temporal Alterations in Cell Populations of Primary Pancreatic Tumor and Liver Metastasis |
title_full | Cross-Dataset Single-Cell Analysis Identifies Temporal Alterations in Cell Populations of Primary Pancreatic Tumor and Liver Metastasis |
title_fullStr | Cross-Dataset Single-Cell Analysis Identifies Temporal Alterations in Cell Populations of Primary Pancreatic Tumor and Liver Metastasis |
title_full_unstemmed | Cross-Dataset Single-Cell Analysis Identifies Temporal Alterations in Cell Populations of Primary Pancreatic Tumor and Liver Metastasis |
title_short | Cross-Dataset Single-Cell Analysis Identifies Temporal Alterations in Cell Populations of Primary Pancreatic Tumor and Liver Metastasis |
title_sort | cross-dataset single-cell analysis identifies temporal alterations in cell populations of primary pancreatic tumor and liver metastasis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137114/ https://www.ncbi.nlm.nih.gov/pubmed/37190324 http://dx.doi.org/10.3390/cancers15082396 |
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