Cargando…

Cellular Interaction Analysis Characterizing Immunosuppressive Microenvironment Functions in MM Tumorigenesis From Precursor Stages

Cell–cell interaction event (CCEs) dysregulation may relate to the heterogeneity of the tumor microenvironment (TME) and would affect therapeutic responses and clinical outcomes. To reveal the alteration of the immune microenvironment in bone marrow from a healthy state to multiple myeloma (MM), scR...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Zhenhao, Zhang, Siwen, Li, Hong, Guo, Jiaojiao, Wu, Dan, Zhou, Wen, Xie, Lu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8984155/
https://www.ncbi.nlm.nih.gov/pubmed/35401705
http://dx.doi.org/10.3389/fgene.2022.844604
_version_ 1784682121279832064
author Liu, Zhenhao
Zhang, Siwen
Li, Hong
Guo, Jiaojiao
Wu, Dan
Zhou, Wen
Xie, Lu
author_facet Liu, Zhenhao
Zhang, Siwen
Li, Hong
Guo, Jiaojiao
Wu, Dan
Zhou, Wen
Xie, Lu
author_sort Liu, Zhenhao
collection PubMed
description Cell–cell interaction event (CCEs) dysregulation may relate to the heterogeneity of the tumor microenvironment (TME) and would affect therapeutic responses and clinical outcomes. To reveal the alteration of the immune microenvironment in bone marrow from a healthy state to multiple myeloma (MM), scRNA-seq data of the four states, including healthy state normal bone marrow (NBM) and three disease states (MGUS, SMM, and MM), were collected for analysis. With immune microenvironment reconstruction, the cell types, including NK cells, CD8(+) T cells, and CD4(+) T cells, with a higher percentage in disease states were associated with prognosis of MM patients. Furthermore, CCEs were annotated and dysregulated CCEs were identified. The number of CCEs were significantly changed between disease states and NBM. The dysregulated CCEs participated in regulation of immune cell proliferation and immune response, such as MIF-TNFRSF14 interacted between early B cells and CD8(+) T cells. Moreover, CCE genes related to drug response, including bortezomib and melphalan, provide candidate therapeutic markers for MM treatment. Furthermore, MM patients were separated into three risk groups based on the CCE prognostic signature. Immunoregulation-related differentiation and activation of CD4(+) T cells corresponded to the progression status with moderate risk. These results provide a comprehensive understanding of the critical role of intercellular communication in the immune microenvironment over the evolution of premalignant MM, which is related to the tumorigenesis and progression of MM, which moreover, suggests a way of potential target selection for clinical intervention.
format Online
Article
Text
id pubmed-8984155
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-89841552022-04-07 Cellular Interaction Analysis Characterizing Immunosuppressive Microenvironment Functions in MM Tumorigenesis From Precursor Stages Liu, Zhenhao Zhang, Siwen Li, Hong Guo, Jiaojiao Wu, Dan Zhou, Wen Xie, Lu Front Genet Genetics Cell–cell interaction event (CCEs) dysregulation may relate to the heterogeneity of the tumor microenvironment (TME) and would affect therapeutic responses and clinical outcomes. To reveal the alteration of the immune microenvironment in bone marrow from a healthy state to multiple myeloma (MM), scRNA-seq data of the four states, including healthy state normal bone marrow (NBM) and three disease states (MGUS, SMM, and MM), were collected for analysis. With immune microenvironment reconstruction, the cell types, including NK cells, CD8(+) T cells, and CD4(+) T cells, with a higher percentage in disease states were associated with prognosis of MM patients. Furthermore, CCEs were annotated and dysregulated CCEs were identified. The number of CCEs were significantly changed between disease states and NBM. The dysregulated CCEs participated in regulation of immune cell proliferation and immune response, such as MIF-TNFRSF14 interacted between early B cells and CD8(+) T cells. Moreover, CCE genes related to drug response, including bortezomib and melphalan, provide candidate therapeutic markers for MM treatment. Furthermore, MM patients were separated into three risk groups based on the CCE prognostic signature. Immunoregulation-related differentiation and activation of CD4(+) T cells corresponded to the progression status with moderate risk. These results provide a comprehensive understanding of the critical role of intercellular communication in the immune microenvironment over the evolution of premalignant MM, which is related to the tumorigenesis and progression of MM, which moreover, suggests a way of potential target selection for clinical intervention. Frontiers Media S.A. 2022-03-23 /pmc/articles/PMC8984155/ /pubmed/35401705 http://dx.doi.org/10.3389/fgene.2022.844604 Text en Copyright © 2022 Liu, Zhang, Li, Guo, Wu, Zhou and Xie. https://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 Genetics
Liu, Zhenhao
Zhang, Siwen
Li, Hong
Guo, Jiaojiao
Wu, Dan
Zhou, Wen
Xie, Lu
Cellular Interaction Analysis Characterizing Immunosuppressive Microenvironment Functions in MM Tumorigenesis From Precursor Stages
title Cellular Interaction Analysis Characterizing Immunosuppressive Microenvironment Functions in MM Tumorigenesis From Precursor Stages
title_full Cellular Interaction Analysis Characterizing Immunosuppressive Microenvironment Functions in MM Tumorigenesis From Precursor Stages
title_fullStr Cellular Interaction Analysis Characterizing Immunosuppressive Microenvironment Functions in MM Tumorigenesis From Precursor Stages
title_full_unstemmed Cellular Interaction Analysis Characterizing Immunosuppressive Microenvironment Functions in MM Tumorigenesis From Precursor Stages
title_short Cellular Interaction Analysis Characterizing Immunosuppressive Microenvironment Functions in MM Tumorigenesis From Precursor Stages
title_sort cellular interaction analysis characterizing immunosuppressive microenvironment functions in mm tumorigenesis from precursor stages
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8984155/
https://www.ncbi.nlm.nih.gov/pubmed/35401705
http://dx.doi.org/10.3389/fgene.2022.844604
work_keys_str_mv AT liuzhenhao cellularinteractionanalysischaracterizingimmunosuppressivemicroenvironmentfunctionsinmmtumorigenesisfromprecursorstages
AT zhangsiwen cellularinteractionanalysischaracterizingimmunosuppressivemicroenvironmentfunctionsinmmtumorigenesisfromprecursorstages
AT lihong cellularinteractionanalysischaracterizingimmunosuppressivemicroenvironmentfunctionsinmmtumorigenesisfromprecursorstages
AT guojiaojiao cellularinteractionanalysischaracterizingimmunosuppressivemicroenvironmentfunctionsinmmtumorigenesisfromprecursorstages
AT wudan cellularinteractionanalysischaracterizingimmunosuppressivemicroenvironmentfunctionsinmmtumorigenesisfromprecursorstages
AT zhouwen cellularinteractionanalysischaracterizingimmunosuppressivemicroenvironmentfunctionsinmmtumorigenesisfromprecursorstages
AT xielu cellularinteractionanalysischaracterizingimmunosuppressivemicroenvironmentfunctionsinmmtumorigenesisfromprecursorstages