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Single-Cell Transcriptome Analysis Identifies Ligand–Receptor Pairs Associated With BCP-ALL Prognosis
B cell precursor acute lymphoblastic leukemia (BCP-ALL) is a blood cancer that originates from the abnormal proliferation of B-lymphoid progenitors. Cell population components and cell–cell interaction in the bone marrow microenvironment are significant factors for progression, relapse, and therapy...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7987943/ https://www.ncbi.nlm.nih.gov/pubmed/33777800 http://dx.doi.org/10.3389/fonc.2021.639013 |
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author | Wu, Liang Jiang, Minghao Yu, Ping Li, Jianfeng Ouyang, Wen Feng, Chong Zhao, Wei Li Dai, Yuting Huang, Jinyan |
author_facet | Wu, Liang Jiang, Minghao Yu, Ping Li, Jianfeng Ouyang, Wen Feng, Chong Zhao, Wei Li Dai, Yuting Huang, Jinyan |
author_sort | Wu, Liang |
collection | PubMed |
description | B cell precursor acute lymphoblastic leukemia (BCP-ALL) is a blood cancer that originates from the abnormal proliferation of B-lymphoid progenitors. Cell population components and cell–cell interaction in the bone marrow microenvironment are significant factors for progression, relapse, and therapy resistance of BCP-ALL. In this study, we identified specifically expressed genes in B cells and myeloid cells by analyzing single-cell RNA sequencing data for seven BCP-ALL samples and four healthy samples obtained from a public database. Integrating 1356 bulk RNA sequencing samples from a public database and our previous study, we found a total of 57 significant ligand–receptor pairs (24 upregulated and 33 downregulated) in the autocrine crosstalk network of B cells. Via assessment of the communication between B cells and myeloid cells, another 29 ligand–receptor pairs were discovered, some of which notably affected survival outcomes. A score-based model was constructed with least absolute shrinkage and selection operator (LASSO) using these ligand–receptor pairs. Patients with higher scores had poorer prognoses. This model can be applied to create predictions for both pediatric and adult BCP-ALL patients. |
format | Online Article Text |
id | pubmed-7987943 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79879432021-03-25 Single-Cell Transcriptome Analysis Identifies Ligand–Receptor Pairs Associated With BCP-ALL Prognosis Wu, Liang Jiang, Minghao Yu, Ping Li, Jianfeng Ouyang, Wen Feng, Chong Zhao, Wei Li Dai, Yuting Huang, Jinyan Front Oncol Oncology B cell precursor acute lymphoblastic leukemia (BCP-ALL) is a blood cancer that originates from the abnormal proliferation of B-lymphoid progenitors. Cell population components and cell–cell interaction in the bone marrow microenvironment are significant factors for progression, relapse, and therapy resistance of BCP-ALL. In this study, we identified specifically expressed genes in B cells and myeloid cells by analyzing single-cell RNA sequencing data for seven BCP-ALL samples and four healthy samples obtained from a public database. Integrating 1356 bulk RNA sequencing samples from a public database and our previous study, we found a total of 57 significant ligand–receptor pairs (24 upregulated and 33 downregulated) in the autocrine crosstalk network of B cells. Via assessment of the communication between B cells and myeloid cells, another 29 ligand–receptor pairs were discovered, some of which notably affected survival outcomes. A score-based model was constructed with least absolute shrinkage and selection operator (LASSO) using these ligand–receptor pairs. Patients with higher scores had poorer prognoses. This model can be applied to create predictions for both pediatric and adult BCP-ALL patients. Frontiers Media S.A. 2021-03-10 /pmc/articles/PMC7987943/ /pubmed/33777800 http://dx.doi.org/10.3389/fonc.2021.639013 Text en Copyright © 2021 Wu, Jiang, Yu, Li, Ouyang, Feng, Zhao, Dai and Huang http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Wu, Liang Jiang, Minghao Yu, Ping Li, Jianfeng Ouyang, Wen Feng, Chong Zhao, Wei Li Dai, Yuting Huang, Jinyan Single-Cell Transcriptome Analysis Identifies Ligand–Receptor Pairs Associated With BCP-ALL Prognosis |
title | Single-Cell Transcriptome Analysis Identifies Ligand–Receptor Pairs Associated With BCP-ALL Prognosis |
title_full | Single-Cell Transcriptome Analysis Identifies Ligand–Receptor Pairs Associated With BCP-ALL Prognosis |
title_fullStr | Single-Cell Transcriptome Analysis Identifies Ligand–Receptor Pairs Associated With BCP-ALL Prognosis |
title_full_unstemmed | Single-Cell Transcriptome Analysis Identifies Ligand–Receptor Pairs Associated With BCP-ALL Prognosis |
title_short | Single-Cell Transcriptome Analysis Identifies Ligand–Receptor Pairs Associated With BCP-ALL Prognosis |
title_sort | single-cell transcriptome analysis identifies ligand–receptor pairs associated with bcp-all prognosis |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7987943/ https://www.ncbi.nlm.nih.gov/pubmed/33777800 http://dx.doi.org/10.3389/fonc.2021.639013 |
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