Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Daowei, Moniruzzaman, Rohan, Wang, Hua, Wang, Huamin, Chen, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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
_version_ 1785032381593288704
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
work_keys_str_mv AT yangdaowei crossdatasetsinglecellanalysisidentifiestemporalalterationsincellpopulationsofprimarypancreatictumorandlivermetastasis
AT moniruzzamanrohan crossdatasetsinglecellanalysisidentifiestemporalalterationsincellpopulationsofprimarypancreatictumorandlivermetastasis
AT wanghua crossdatasetsinglecellanalysisidentifiestemporalalterationsincellpopulationsofprimarypancreatictumorandlivermetastasis
AT wanghuamin crossdatasetsinglecellanalysisidentifiestemporalalterationsincellpopulationsofprimarypancreatictumorandlivermetastasis
AT chenyang crossdatasetsinglecellanalysisidentifiestemporalalterationsincellpopulationsofprimarypancreatictumorandlivermetastasis