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

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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Main Authors: LI,Jianfeng, HU,Shaoyu, LI,Huafu, JIANG,Jie, WANG,Jianjun
Format: Digital revista
Language:English
Published: Sociedade Brasileira de Ciência e Tecnologia de Alimentos 2022
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612022000102029
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spelling oai:scielo:S0101-206120220001020292022-02-22Clinical prognosis and gene expression profiles of prostate cancer patients with bone and lymphatic metastasesLI,JianfengHU,ShaoyuLI,HuafuJIANG,JieWANG,Jianjun bone metastasis prostate cancer lymphatic metastasis gene expression profiles 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.info:eu-repo/semantics/openAccessSociedade Brasileira de Ciência e Tecnologia de AlimentosFood Science and Technology v.42 20222022-01-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612022000102029en10.1590/fst.57221
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country Brasil
countrycode BR
component Revista
access En linea
databasecode rev-scielo-br
tag revista
region America del Sur
libraryname SciELO
language English
format Digital
author LI,Jianfeng
HU,Shaoyu
LI,Huafu
JIANG,Jie
WANG,Jianjun
spellingShingle LI,Jianfeng
HU,Shaoyu
LI,Huafu
JIANG,Jie
WANG,Jianjun
Clinical prognosis and gene expression profiles of prostate cancer patients with bone and lymphatic metastases
author_facet LI,Jianfeng
HU,Shaoyu
LI,Huafu
JIANG,Jie
WANG,Jianjun
author_sort LI,Jianfeng
title Clinical prognosis and gene expression profiles of prostate cancer patients with bone and lymphatic metastases
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
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.
publisher Sociedade Brasileira de Ciência e Tecnologia de Alimentos
publishDate 2022
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612022000102029
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