Survival prediction based on the gene expression associated with cancer morphology and microenvironment in primary central nervous system lymphoma.

Dysregulation of cell morphology and cell-cell interaction results in cancer cell growth, migration, invasion, and metastasis. Besides, a balance between the extracellular matrix (ECM) and matrix metalloprotease (MMP) is required for cancer cell morphology and angiogenesis. Here, we determined gene...

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Autores principales:	Yasuo Takashima, Atsushi Kawaguchi, Junya Fukai, Yasuo Iwadate, Koji Kajiwara, Hiroaki Hondoh, Ryuya Yamanaka
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4b81e35c0a6e401eb142574575fc5af5
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spelling	oai:doaj.org-article:4b81e35c0a6e401eb142574575fc5af52021-12-02T20:05:18ZSurvival prediction based on the gene expression associated with cancer morphology and microenvironment in primary central nervous system lymphoma.1932-620310.1371/journal.pone.0251272https://doaj.org/article/4b81e35c0a6e401eb142574575fc5af52021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0251272https://doaj.org/toc/1932-6203Dysregulation of cell morphology and cell-cell interaction results in cancer cell growth, migration, invasion, and metastasis. Besides, a balance between the extracellular matrix (ECM) and matrix metalloprotease (MMP) is required for cancer cell morphology and angiogenesis. Here, we determined gene signatures associated with the morphology and microenvironment of primary central nervous system lymphoma (PCNSL) to enable prognosis prediction. Next-generation sequencing (NGS) on 31 PCNSL samples revealed gene signatures as follows: ACTA2, ACTR10, CAPG, CORO1C, KRT17, and PALLD in cytoskeleton, CDH5, CLSTN1, ITGA10, ITGAX, ITGB7, ITGA8, FAT4, ITGAE, CDH10, ITGAM, ITGB6, and CDH18 in adhesion, COL8A2, FBN1, LAMB3, and LAMA2 in ECM, ADAM22, ADAM28, MMP11, and MMP24 in MMP. Prognosis prediction formulas with the gene expression values and the Cox regression model clearly divided survival curves of the subgroups in each status. Furthermore, collagen genes contributed to gene network formation in glasso, suggesting that the ECM balance controls the PCNSL microenvironment. Finally, the comprehensive balance of morphology and microenvironment enabled prognosis prediction by a combinatorial expression of 8 representative genes, including KRT17, CDH10, CDH18, COL8A2, ADAM22, ADAM28, MMP11, and MMP24. Besides, these genes could also diagnose PCNSL cell types with MTX resistances in vitro. These results would not only facilitate the understanding of biology of PCNSL but also consider targeting pathways for anti-cancer treatment in personalized precision medicine in PCNSL.Yasuo TakashimaAtsushi KawaguchiJunya FukaiYasuo IwadateKoji KajiwaraHiroaki HondohRyuya YamanakaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 6, p e0251272 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yasuo Takashima Atsushi Kawaguchi Junya Fukai Yasuo Iwadate Koji Kajiwara Hiroaki Hondoh Ryuya Yamanaka Survival prediction based on the gene expression associated with cancer morphology and microenvironment in primary central nervous system lymphoma.
description	Dysregulation of cell morphology and cell-cell interaction results in cancer cell growth, migration, invasion, and metastasis. Besides, a balance between the extracellular matrix (ECM) and matrix metalloprotease (MMP) is required for cancer cell morphology and angiogenesis. Here, we determined gene signatures associated with the morphology and microenvironment of primary central nervous system lymphoma (PCNSL) to enable prognosis prediction. Next-generation sequencing (NGS) on 31 PCNSL samples revealed gene signatures as follows: ACTA2, ACTR10, CAPG, CORO1C, KRT17, and PALLD in cytoskeleton, CDH5, CLSTN1, ITGA10, ITGAX, ITGB7, ITGA8, FAT4, ITGAE, CDH10, ITGAM, ITGB6, and CDH18 in adhesion, COL8A2, FBN1, LAMB3, and LAMA2 in ECM, ADAM22, ADAM28, MMP11, and MMP24 in MMP. Prognosis prediction formulas with the gene expression values and the Cox regression model clearly divided survival curves of the subgroups in each status. Furthermore, collagen genes contributed to gene network formation in glasso, suggesting that the ECM balance controls the PCNSL microenvironment. Finally, the comprehensive balance of morphology and microenvironment enabled prognosis prediction by a combinatorial expression of 8 representative genes, including KRT17, CDH10, CDH18, COL8A2, ADAM22, ADAM28, MMP11, and MMP24. Besides, these genes could also diagnose PCNSL cell types with MTX resistances in vitro. These results would not only facilitate the understanding of biology of PCNSL but also consider targeting pathways for anti-cancer treatment in personalized precision medicine in PCNSL.
format	article
author	Yasuo Takashima Atsushi Kawaguchi Junya Fukai Yasuo Iwadate Koji Kajiwara Hiroaki Hondoh Ryuya Yamanaka
author_facet	Yasuo Takashima Atsushi Kawaguchi Junya Fukai Yasuo Iwadate Koji Kajiwara Hiroaki Hondoh Ryuya Yamanaka
author_sort	Yasuo Takashima
title	Survival prediction based on the gene expression associated with cancer morphology and microenvironment in primary central nervous system lymphoma.
title_short	Survival prediction based on the gene expression associated with cancer morphology and microenvironment in primary central nervous system lymphoma.
title_full	Survival prediction based on the gene expression associated with cancer morphology and microenvironment in primary central nervous system lymphoma.
title_fullStr	Survival prediction based on the gene expression associated with cancer morphology and microenvironment in primary central nervous system lymphoma.
title_full_unstemmed	Survival prediction based on the gene expression associated with cancer morphology and microenvironment in primary central nervous system lymphoma.
title_sort	survival prediction based on the gene expression associated with cancer morphology and microenvironment in primary central nervous system lymphoma.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/4b81e35c0a6e401eb142574575fc5af5
work_keys_str_mv	AT yasuotakashima survivalpredictionbasedonthegeneexpressionassociatedwithcancermorphologyandmicroenvironmentinprimarycentralnervoussystemlymphoma AT atsushikawaguchi survivalpredictionbasedonthegeneexpressionassociatedwithcancermorphologyandmicroenvironmentinprimarycentralnervoussystemlymphoma AT junyafukai survivalpredictionbasedonthegeneexpressionassociatedwithcancermorphologyandmicroenvironmentinprimarycentralnervoussystemlymphoma AT yasuoiwadate survivalpredictionbasedonthegeneexpressionassociatedwithcancermorphologyandmicroenvironmentinprimarycentralnervoussystemlymphoma AT kojikajiwara survivalpredictionbasedonthegeneexpressionassociatedwithcancermorphologyandmicroenvironmentinprimarycentralnervoussystemlymphoma AT hiroakihondoh survivalpredictionbasedonthegeneexpressionassociatedwithcancermorphologyandmicroenvironmentinprimarycentralnervoussystemlymphoma AT ryuyayamanaka survivalpredictionbasedonthegeneexpressionassociatedwithcancermorphologyandmicroenvironmentinprimarycentralnervoussystemlymphoma
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Survival prediction based on the gene expression associated with cancer morphology and microenvironment in primary central nervous system lymphoma.

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