Clinical prognosis and gene expression profiles of prostate cancer patients with bone and lymphatic metastases

Detalhes bibliográficos
Autor(a) principal: LI,Jianfeng
Data de Publicação: 2022
Outros Autores: HU,Shaoyu, LI,Huafu, JIANG,Jie, WANG,Jianjun
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Food Science and Technology (Campinas)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612022000102029
Resumo: Abstract In this paper, we aimed to observe the prognosis and gene expression profiles of bone and lymphatic metastases. SEER*Stat software was used to collect prognosis analysis. Datasets of gene expression profiles were downloaded from the GEO database. GEO2R tool was used to analyze the data to identify the differentially expressed genes (DEGs). Functions of DEGs were annotated by KEGG. Protein interaction analysis and hub gene selection were performed using STRING database. The overall survival rate (OS) of Lymph node metastasis was better than that of bone metastases. In lymph node metastasis prostate cancer, the expression of ZWINT, DNMT3B and RAD54B was higher than that in bone metastasis prostate cancer; the expression of HBA2, MS4A4A, COLCE, CCL18, DCN, S100A4, ACP5, ARHGDIA, MEM204, GALR3, CTSZ, and EPHX1 was lower than that in bone metastasis prostate cancer. DEGs in bone metastasis prostate cancer were involved in various biological processes, such us enhancing the adhesion and chemotaxis, immune correlation and promoting malignant transformation of cancer cells. The data suggests that gene expression patterns of these two profiles are different. Bone metastasis may be poor prognosis and higher malignancy.
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spelling Clinical prognosis and gene expression profiles of prostate cancer patients with bone and lymphatic metastasesbone metastasisprostate cancerlymphatic metastasisgene expression profilesAbstract In this paper, we aimed to observe the prognosis and gene expression profiles of bone and lymphatic metastases. SEER*Stat software was used to collect prognosis analysis. Datasets of gene expression profiles were downloaded from the GEO database. GEO2R tool was used to analyze the data to identify the differentially expressed genes (DEGs). Functions of DEGs were annotated by KEGG. Protein interaction analysis and hub gene selection were performed using STRING database. The overall survival rate (OS) of Lymph node metastasis was better than that of bone metastases. In lymph node metastasis prostate cancer, the expression of ZWINT, DNMT3B and RAD54B was higher than that in bone metastasis prostate cancer; the expression of HBA2, MS4A4A, COLCE, CCL18, DCN, S100A4, ACP5, ARHGDIA, MEM204, GALR3, CTSZ, and EPHX1 was lower than that in bone metastasis prostate cancer. DEGs in bone metastasis prostate cancer were involved in various biological processes, such us enhancing the adhesion and chemotaxis, immune correlation and promoting malignant transformation of cancer cells. The data suggests that gene expression patterns of these two profiles are different. Bone metastasis may be poor prognosis and higher malignancy.Sociedade Brasileira de Ciência e Tecnologia de Alimentos2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612022000102029Food Science and Technology v.42 2022reponame:Food Science and Technology (Campinas)instname:Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)instacron:SBCTA10.1590/fst.57221info:eu-repo/semantics/openAccessLI,JianfengHU,ShaoyuLI,HuafuJIANG,JieWANG,Jianjuneng2022-02-22T00:00:00Zoai:scielo:S0101-20612022000102029Revistahttp://www.scielo.br/ctaONGhttps://old.scielo.br/oai/scielo-oai.php||revista@sbcta.org.br1678-457X0101-2061opendoar:2022-02-22T00:00Food Science and Technology (Campinas) - Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)false
dc.title.none.fl_str_mv Clinical prognosis and gene expression profiles of prostate cancer patients with bone and lymphatic metastases
title Clinical prognosis and gene expression profiles of prostate cancer patients with bone and lymphatic metastases
spellingShingle Clinical prognosis and gene expression profiles of prostate cancer patients with bone and lymphatic metastases
LI,Jianfeng
bone metastasis
prostate cancer
lymphatic metastasis
gene expression profiles
title_short Clinical prognosis and gene expression profiles of prostate cancer patients with bone and lymphatic metastases
title_full Clinical prognosis and gene expression profiles of prostate cancer patients with bone and lymphatic metastases
title_fullStr Clinical prognosis and gene expression profiles of prostate cancer patients with bone and lymphatic metastases
title_full_unstemmed Clinical prognosis and gene expression profiles of prostate cancer patients with bone and lymphatic metastases
title_sort Clinical prognosis and gene expression profiles of prostate cancer patients with bone and lymphatic metastases
author LI,Jianfeng
author_facet LI,Jianfeng
HU,Shaoyu
LI,Huafu
JIANG,Jie
WANG,Jianjun
author_role author
author2 HU,Shaoyu
LI,Huafu
JIANG,Jie
WANG,Jianjun
author2_role author
author
author
author
dc.contributor.author.fl_str_mv LI,Jianfeng
HU,Shaoyu
LI,Huafu
JIANG,Jie
WANG,Jianjun
dc.subject.por.fl_str_mv bone metastasis
prostate cancer
lymphatic metastasis
gene expression profiles
topic bone metastasis
prostate cancer
lymphatic metastasis
gene expression profiles
description Abstract In this paper, we aimed to observe the prognosis and gene expression profiles of bone and lymphatic metastases. SEER*Stat software was used to collect prognosis analysis. Datasets of gene expression profiles were downloaded from the GEO database. GEO2R tool was used to analyze the data to identify the differentially expressed genes (DEGs). Functions of DEGs were annotated by KEGG. Protein interaction analysis and hub gene selection were performed using STRING database. The overall survival rate (OS) of Lymph node metastasis was better than that of bone metastases. In lymph node metastasis prostate cancer, the expression of ZWINT, DNMT3B and RAD54B was higher than that in bone metastasis prostate cancer; the expression of HBA2, MS4A4A, COLCE, CCL18, DCN, S100A4, ACP5, ARHGDIA, MEM204, GALR3, CTSZ, and EPHX1 was lower than that in bone metastasis prostate cancer. DEGs in bone metastasis prostate cancer were involved in various biological processes, such us enhancing the adhesion and chemotaxis, immune correlation and promoting malignant transformation of cancer cells. The data suggests that gene expression patterns of these two profiles are different. Bone metastasis may be poor prognosis and higher malignancy.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612022000102029
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612022000102029
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/fst.57221
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Sociedade Brasileira de Ciência e Tecnologia de Alimentos
publisher.none.fl_str_mv Sociedade Brasileira de Ciência e Tecnologia de Alimentos
dc.source.none.fl_str_mv Food Science and Technology v.42 2022
reponame:Food Science and Technology (Campinas)
instname:Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)
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instacron_str SBCTA
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reponame_str Food Science and Technology (Campinas)
collection Food Science and Technology (Campinas)
repository.name.fl_str_mv Food Science and Technology (Campinas) - Sociedade Brasileira de Ciência e Tecnologia de Alimentos (SBCTA)
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