A seven-gene signature and the C–C motif chemokine receptor family genes are the sarcoma-related immune genes

Cells of the tumor microenvironment exert a vital influence on sarcoma prognosis. This study aimed to analyze and identify differentially expressed genes (DEGs) related to immunity and their significance as immune biomarkers for the accurate prediction of overall survival of patients with sarcoma. T...
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Autor*in:	Jiarui Chen [verfasserIn] Tuo Liang [verfasserIn] Jiemei Cen [verfasserIn] Jie Jiang [verfasserIn] Shixin Pan [verfasserIn] Shengsheng Huang [verfasserIn] Liyi Chen [verfasserIn] Xuhua Sun [verfasserIn] Hao Li [verfasserIn] Tianyou Chen [verfasserIn] Wei Liang [verfasserIn] Shian Liao [verfasserIn] Chaojie Yu [verfasserIn] Yuanlin Yao [verfasserIn] Zhen Ye [verfasserIn] Wuhua Chen [verfasserIn] Hao Guo [verfasserIn] Xinli Zhan [verfasserIn] Chong Liu [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	sarcoma tumor microenvironment immune gene prognostic signature the cancer genome atlas

Übergeordnetes Werk:	In: Bioengineered - Taylor & Francis Group, 2019, 12(2021), 1, Seite 7616-7630
Übergeordnetes Werk:	volume:12 ; year:2021 ; number:1 ; pages:7616-7630

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.1080/21655979.2021.1981797

Katalog-ID:	DOAJ019109067

Internformat


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520			\|a Cells of the tumor microenvironment exert a vital influence on sarcoma prognosis. This study aimed to analyze and identify differentially expressed genes (DEGs) related to immunity and their significance as immune biomarkers for the accurate prediction of overall survival of patients with sarcoma. The Cancer Genome Atlas was adopted for obtaining sarcoma gene microarray and corresponding clinical information. ESTIMATE algorithm was used to calculate tumor immune microenvironment indices. Immune-associated DEGs were identified using the limma packages and were further analyzed using the ClusterProfiler package and STRING website. Based on the results of these analyses, we constructed a prognostic model. Furthermore, we assessed the prognosis prediction model through functional evaluation and analysis of GSE17674. The functional analysis revealed that the upregulated immune DEGs were related to immune-related aspects. Chemokine ligands/receptors and immune-related genes were found to be vital for sarcoma formation and progression. We established a prognostic signature of seven genes, which indicated that high-risk cases exhibit poor prognostic outcome. The prognostic signature constructed in this study can accurately predict the overall prognosis in patients with sarcoma. Moreover, the novel immune gene expression analysis may provide clinical guidance for predicting prognosis in patients with sarcoma.
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allfields	10.1080/21655979.2021.1981797 doi (DE-627)DOAJ019109067 (DE-599)DOAJ8b084d36064c44c98d0442e77facbace DE-627 ger DE-627 rakwb eng TP248.13-248.65 Jiarui Chen verfasserin aut A seven-gene signature and the C–C motif chemokine receptor family genes are the sarcoma-related immune genes 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Cells of the tumor microenvironment exert a vital influence on sarcoma prognosis. This study aimed to analyze and identify differentially expressed genes (DEGs) related to immunity and their significance as immune biomarkers for the accurate prediction of overall survival of patients with sarcoma. The Cancer Genome Atlas was adopted for obtaining sarcoma gene microarray and corresponding clinical information. ESTIMATE algorithm was used to calculate tumor immune microenvironment indices. Immune-associated DEGs were identified using the limma packages and were further analyzed using the ClusterProfiler package and STRING website. Based on the results of these analyses, we constructed a prognostic model. Furthermore, we assessed the prognosis prediction model through functional evaluation and analysis of GSE17674. The functional analysis revealed that the upregulated immune DEGs were related to immune-related aspects. Chemokine ligands/receptors and immune-related genes were found to be vital for sarcoma formation and progression. We established a prognostic signature of seven genes, which indicated that high-risk cases exhibit poor prognostic outcome. The prognostic signature constructed in this study can accurately predict the overall prognosis in patients with sarcoma. Moreover, the novel immune gene expression analysis may provide clinical guidance for predicting prognosis in patients with sarcoma. sarcoma tumor microenvironment immune gene prognostic signature the cancer genome atlas Biotechnology Tuo Liang verfasserin aut Jiemei Cen verfasserin aut Jie Jiang verfasserin aut Shixin Pan verfasserin aut Shengsheng Huang verfasserin aut Liyi Chen verfasserin aut Xuhua Sun verfasserin aut Hao Li verfasserin aut Tianyou Chen verfasserin aut Wei Liang verfasserin aut Shian Liao verfasserin aut Chaojie Yu verfasserin aut Yuanlin Yao verfasserin aut Zhen Ye verfasserin aut Wuhua Chen verfasserin aut Hao Guo verfasserin aut Xinli Zhan verfasserin aut Chong Liu verfasserin aut In Bioengineered Taylor & Francis Group, 2019 12(2021), 1, Seite 7616-7630 (DE-627)770398189 (DE-600)2737830-5 21655987 nnns volume:12 year:2021 number:1 pages:7616-7630 https://doi.org/10.1080/21655979.2021.1981797 kostenfrei https://doaj.org/article/8b084d36064c44c98d0442e77facbace kostenfrei http://dx.doi.org/10.1080/21655979.2021.1981797 kostenfrei https://doaj.org/toc/2165-5979 Journal toc kostenfrei https://doaj.org/toc/2165-5987 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2021 1 7616-7630
spelling	10.1080/21655979.2021.1981797 doi (DE-627)DOAJ019109067 (DE-599)DOAJ8b084d36064c44c98d0442e77facbace DE-627 ger DE-627 rakwb eng TP248.13-248.65 Jiarui Chen verfasserin aut A seven-gene signature and the C–C motif chemokine receptor family genes are the sarcoma-related immune genes 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Cells of the tumor microenvironment exert a vital influence on sarcoma prognosis. This study aimed to analyze and identify differentially expressed genes (DEGs) related to immunity and their significance as immune biomarkers for the accurate prediction of overall survival of patients with sarcoma. The Cancer Genome Atlas was adopted for obtaining sarcoma gene microarray and corresponding clinical information. ESTIMATE algorithm was used to calculate tumor immune microenvironment indices. Immune-associated DEGs were identified using the limma packages and were further analyzed using the ClusterProfiler package and STRING website. Based on the results of these analyses, we constructed a prognostic model. Furthermore, we assessed the prognosis prediction model through functional evaluation and analysis of GSE17674. The functional analysis revealed that the upregulated immune DEGs were related to immune-related aspects. Chemokine ligands/receptors and immune-related genes were found to be vital for sarcoma formation and progression. We established a prognostic signature of seven genes, which indicated that high-risk cases exhibit poor prognostic outcome. The prognostic signature constructed in this study can accurately predict the overall prognosis in patients with sarcoma. Moreover, the novel immune gene expression analysis may provide clinical guidance for predicting prognosis in patients with sarcoma. sarcoma tumor microenvironment immune gene prognostic signature the cancer genome atlas Biotechnology Tuo Liang verfasserin aut Jiemei Cen verfasserin aut Jie Jiang verfasserin aut Shixin Pan verfasserin aut Shengsheng Huang verfasserin aut Liyi Chen verfasserin aut Xuhua Sun verfasserin aut Hao Li verfasserin aut Tianyou Chen verfasserin aut Wei Liang verfasserin aut Shian Liao verfasserin aut Chaojie Yu verfasserin aut Yuanlin Yao verfasserin aut Zhen Ye verfasserin aut Wuhua Chen verfasserin aut Hao Guo verfasserin aut Xinli Zhan verfasserin aut Chong Liu verfasserin aut In Bioengineered Taylor & Francis Group, 2019 12(2021), 1, Seite 7616-7630 (DE-627)770398189 (DE-600)2737830-5 21655987 nnns volume:12 year:2021 number:1 pages:7616-7630 https://doi.org/10.1080/21655979.2021.1981797 kostenfrei https://doaj.org/article/8b084d36064c44c98d0442e77facbace kostenfrei http://dx.doi.org/10.1080/21655979.2021.1981797 kostenfrei https://doaj.org/toc/2165-5979 Journal toc kostenfrei https://doaj.org/toc/2165-5987 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2021 1 7616-7630
allfields_unstemmed	10.1080/21655979.2021.1981797 doi (DE-627)DOAJ019109067 (DE-599)DOAJ8b084d36064c44c98d0442e77facbace DE-627 ger DE-627 rakwb eng TP248.13-248.65 Jiarui Chen verfasserin aut A seven-gene signature and the C–C motif chemokine receptor family genes are the sarcoma-related immune genes 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Cells of the tumor microenvironment exert a vital influence on sarcoma prognosis. This study aimed to analyze and identify differentially expressed genes (DEGs) related to immunity and their significance as immune biomarkers for the accurate prediction of overall survival of patients with sarcoma. The Cancer Genome Atlas was adopted for obtaining sarcoma gene microarray and corresponding clinical information. ESTIMATE algorithm was used to calculate tumor immune microenvironment indices. Immune-associated DEGs were identified using the limma packages and were further analyzed using the ClusterProfiler package and STRING website. Based on the results of these analyses, we constructed a prognostic model. Furthermore, we assessed the prognosis prediction model through functional evaluation and analysis of GSE17674. The functional analysis revealed that the upregulated immune DEGs were related to immune-related aspects. Chemokine ligands/receptors and immune-related genes were found to be vital for sarcoma formation and progression. We established a prognostic signature of seven genes, which indicated that high-risk cases exhibit poor prognostic outcome. The prognostic signature constructed in this study can accurately predict the overall prognosis in patients with sarcoma. Moreover, the novel immune gene expression analysis may provide clinical guidance for predicting prognosis in patients with sarcoma. sarcoma tumor microenvironment immune gene prognostic signature the cancer genome atlas Biotechnology Tuo Liang verfasserin aut Jiemei Cen verfasserin aut Jie Jiang verfasserin aut Shixin Pan verfasserin aut Shengsheng Huang verfasserin aut Liyi Chen verfasserin aut Xuhua Sun verfasserin aut Hao Li verfasserin aut Tianyou Chen verfasserin aut Wei Liang verfasserin aut Shian Liao verfasserin aut Chaojie Yu verfasserin aut Yuanlin Yao verfasserin aut Zhen Ye verfasserin aut Wuhua Chen verfasserin aut Hao Guo verfasserin aut Xinli Zhan verfasserin aut Chong Liu verfasserin aut In Bioengineered Taylor & Francis Group, 2019 12(2021), 1, Seite 7616-7630 (DE-627)770398189 (DE-600)2737830-5 21655987 nnns volume:12 year:2021 number:1 pages:7616-7630 https://doi.org/10.1080/21655979.2021.1981797 kostenfrei https://doaj.org/article/8b084d36064c44c98d0442e77facbace kostenfrei http://dx.doi.org/10.1080/21655979.2021.1981797 kostenfrei https://doaj.org/toc/2165-5979 Journal toc kostenfrei https://doaj.org/toc/2165-5987 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2021 1 7616-7630
allfieldsGer	10.1080/21655979.2021.1981797 doi (DE-627)DOAJ019109067 (DE-599)DOAJ8b084d36064c44c98d0442e77facbace DE-627 ger DE-627 rakwb eng TP248.13-248.65 Jiarui Chen verfasserin aut A seven-gene signature and the C–C motif chemokine receptor family genes are the sarcoma-related immune genes 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Cells of the tumor microenvironment exert a vital influence on sarcoma prognosis. This study aimed to analyze and identify differentially expressed genes (DEGs) related to immunity and their significance as immune biomarkers for the accurate prediction of overall survival of patients with sarcoma. The Cancer Genome Atlas was adopted for obtaining sarcoma gene microarray and corresponding clinical information. ESTIMATE algorithm was used to calculate tumor immune microenvironment indices. Immune-associated DEGs were identified using the limma packages and were further analyzed using the ClusterProfiler package and STRING website. Based on the results of these analyses, we constructed a prognostic model. Furthermore, we assessed the prognosis prediction model through functional evaluation and analysis of GSE17674. The functional analysis revealed that the upregulated immune DEGs were related to immune-related aspects. Chemokine ligands/receptors and immune-related genes were found to be vital for sarcoma formation and progression. We established a prognostic signature of seven genes, which indicated that high-risk cases exhibit poor prognostic outcome. The prognostic signature constructed in this study can accurately predict the overall prognosis in patients with sarcoma. Moreover, the novel immune gene expression analysis may provide clinical guidance for predicting prognosis in patients with sarcoma. sarcoma tumor microenvironment immune gene prognostic signature the cancer genome atlas Biotechnology Tuo Liang verfasserin aut Jiemei Cen verfasserin aut Jie Jiang verfasserin aut Shixin Pan verfasserin aut Shengsheng Huang verfasserin aut Liyi Chen verfasserin aut Xuhua Sun verfasserin aut Hao Li verfasserin aut Tianyou Chen verfasserin aut Wei Liang verfasserin aut Shian Liao verfasserin aut Chaojie Yu verfasserin aut Yuanlin Yao verfasserin aut Zhen Ye verfasserin aut Wuhua Chen verfasserin aut Hao Guo verfasserin aut Xinli Zhan verfasserin aut Chong Liu verfasserin aut In Bioengineered Taylor & Francis Group, 2019 12(2021), 1, Seite 7616-7630 (DE-627)770398189 (DE-600)2737830-5 21655987 nnns volume:12 year:2021 number:1 pages:7616-7630 https://doi.org/10.1080/21655979.2021.1981797 kostenfrei https://doaj.org/article/8b084d36064c44c98d0442e77facbace kostenfrei http://dx.doi.org/10.1080/21655979.2021.1981797 kostenfrei https://doaj.org/toc/2165-5979 Journal toc kostenfrei https://doaj.org/toc/2165-5987 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2021 1 7616-7630
allfieldsSound	10.1080/21655979.2021.1981797 doi (DE-627)DOAJ019109067 (DE-599)DOAJ8b084d36064c44c98d0442e77facbace DE-627 ger DE-627 rakwb eng TP248.13-248.65 Jiarui Chen verfasserin aut A seven-gene signature and the C–C motif chemokine receptor family genes are the sarcoma-related immune genes 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Cells of the tumor microenvironment exert a vital influence on sarcoma prognosis. This study aimed to analyze and identify differentially expressed genes (DEGs) related to immunity and their significance as immune biomarkers for the accurate prediction of overall survival of patients with sarcoma. The Cancer Genome Atlas was adopted for obtaining sarcoma gene microarray and corresponding clinical information. ESTIMATE algorithm was used to calculate tumor immune microenvironment indices. Immune-associated DEGs were identified using the limma packages and were further analyzed using the ClusterProfiler package and STRING website. Based on the results of these analyses, we constructed a prognostic model. Furthermore, we assessed the prognosis prediction model through functional evaluation and analysis of GSE17674. The functional analysis revealed that the upregulated immune DEGs were related to immune-related aspects. Chemokine ligands/receptors and immune-related genes were found to be vital for sarcoma formation and progression. We established a prognostic signature of seven genes, which indicated that high-risk cases exhibit poor prognostic outcome. The prognostic signature constructed in this study can accurately predict the overall prognosis in patients with sarcoma. Moreover, the novel immune gene expression analysis may provide clinical guidance for predicting prognosis in patients with sarcoma. sarcoma tumor microenvironment immune gene prognostic signature the cancer genome atlas Biotechnology Tuo Liang verfasserin aut Jiemei Cen verfasserin aut Jie Jiang verfasserin aut Shixin Pan verfasserin aut Shengsheng Huang verfasserin aut Liyi Chen verfasserin aut Xuhua Sun verfasserin aut Hao Li verfasserin aut Tianyou Chen verfasserin aut Wei Liang verfasserin aut Shian Liao verfasserin aut Chaojie Yu verfasserin aut Yuanlin Yao verfasserin aut Zhen Ye verfasserin aut Wuhua Chen verfasserin aut Hao Guo verfasserin aut Xinli Zhan verfasserin aut Chong Liu verfasserin aut In Bioengineered Taylor & Francis Group, 2019 12(2021), 1, Seite 7616-7630 (DE-627)770398189 (DE-600)2737830-5 21655987 nnns volume:12 year:2021 number:1 pages:7616-7630 https://doi.org/10.1080/21655979.2021.1981797 kostenfrei https://doaj.org/article/8b084d36064c44c98d0442e77facbace kostenfrei http://dx.doi.org/10.1080/21655979.2021.1981797 kostenfrei https://doaj.org/toc/2165-5979 Journal toc kostenfrei https://doaj.org/toc/2165-5987 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2021 1 7616-7630
language	English
source	In Bioengineered 12(2021), 1, Seite 7616-7630 volume:12 year:2021 number:1 pages:7616-7630
sourceStr	In Bioengineered 12(2021), 1, Seite 7616-7630 volume:12 year:2021 number:1 pages:7616-7630
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	sarcoma tumor microenvironment immune gene prognostic signature the cancer genome atlas Biotechnology
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authorswithroles_txt_mv	Jiarui Chen @@aut@@ Tuo Liang @@aut@@ Jiemei Cen @@aut@@ Jie Jiang @@aut@@ Shixin Pan @@aut@@ Shengsheng Huang @@aut@@ Liyi Chen @@aut@@ Xuhua Sun @@aut@@ Hao Li @@aut@@ Tianyou Chen @@aut@@ Wei Liang @@aut@@ Shian Liao @@aut@@ Chaojie Yu @@aut@@ Yuanlin Yao @@aut@@ Zhen Ye @@aut@@ Wuhua Chen @@aut@@ Hao Guo @@aut@@ Xinli Zhan @@aut@@ Chong Liu @@aut@@
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callnumber-first	T - Technology
author	Jiarui Chen
spellingShingle	Jiarui Chen misc TP248.13-248.65 misc sarcoma misc tumor microenvironment misc immune gene misc prognostic signature misc the cancer genome atlas misc Biotechnology A seven-gene signature and the C–C motif chemokine receptor family genes are the sarcoma-related immune genes
authorStr	Jiarui Chen
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topic_title	TP248.13-248.65 A seven-gene signature and the C–C motif chemokine receptor family genes are the sarcoma-related immune genes sarcoma tumor microenvironment immune gene prognostic signature the cancer genome atlas
topic	misc TP248.13-248.65 misc sarcoma misc tumor microenvironment misc immune gene misc prognostic signature misc the cancer genome atlas misc Biotechnology
topic_unstemmed	misc TP248.13-248.65 misc sarcoma misc tumor microenvironment misc immune gene misc prognostic signature misc the cancer genome atlas misc Biotechnology
topic_browse	misc TP248.13-248.65 misc sarcoma misc tumor microenvironment misc immune gene misc prognostic signature misc the cancer genome atlas misc Biotechnology
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title	A seven-gene signature and the C–C motif chemokine receptor family genes are the sarcoma-related immune genes
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title_full	A seven-gene signature and the C–C motif chemokine receptor family genes are the sarcoma-related immune genes
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author_browse	Jiarui Chen Tuo Liang Jiemei Cen Jie Jiang Shixin Pan Shengsheng Huang Liyi Chen Xuhua Sun Hao Li Tianyou Chen Wei Liang Shian Liao Chaojie Yu Yuanlin Yao Zhen Ye Wuhua Chen Hao Guo Xinli Zhan Chong Liu
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title_sort	seven-gene signature and the c–c motif chemokine receptor family genes are the sarcoma-related immune genes
callnumber	TP248.13-248.65
title_auth	A seven-gene signature and the C–C motif chemokine receptor family genes are the sarcoma-related immune genes
abstract	Cells of the tumor microenvironment exert a vital influence on sarcoma prognosis. This study aimed to analyze and identify differentially expressed genes (DEGs) related to immunity and their significance as immune biomarkers for the accurate prediction of overall survival of patients with sarcoma. The Cancer Genome Atlas was adopted for obtaining sarcoma gene microarray and corresponding clinical information. ESTIMATE algorithm was used to calculate tumor immune microenvironment indices. Immune-associated DEGs were identified using the limma packages and were further analyzed using the ClusterProfiler package and STRING website. Based on the results of these analyses, we constructed a prognostic model. Furthermore, we assessed the prognosis prediction model through functional evaluation and analysis of GSE17674. The functional analysis revealed that the upregulated immune DEGs were related to immune-related aspects. Chemokine ligands/receptors and immune-related genes were found to be vital for sarcoma formation and progression. We established a prognostic signature of seven genes, which indicated that high-risk cases exhibit poor prognostic outcome. The prognostic signature constructed in this study can accurately predict the overall prognosis in patients with sarcoma. Moreover, the novel immune gene expression analysis may provide clinical guidance for predicting prognosis in patients with sarcoma.
abstractGer	Cells of the tumor microenvironment exert a vital influence on sarcoma prognosis. This study aimed to analyze and identify differentially expressed genes (DEGs) related to immunity and their significance as immune biomarkers for the accurate prediction of overall survival of patients with sarcoma. The Cancer Genome Atlas was adopted for obtaining sarcoma gene microarray and corresponding clinical information. ESTIMATE algorithm was used to calculate tumor immune microenvironment indices. Immune-associated DEGs were identified using the limma packages and were further analyzed using the ClusterProfiler package and STRING website. Based on the results of these analyses, we constructed a prognostic model. Furthermore, we assessed the prognosis prediction model through functional evaluation and analysis of GSE17674. The functional analysis revealed that the upregulated immune DEGs were related to immune-related aspects. Chemokine ligands/receptors and immune-related genes were found to be vital for sarcoma formation and progression. We established a prognostic signature of seven genes, which indicated that high-risk cases exhibit poor prognostic outcome. The prognostic signature constructed in this study can accurately predict the overall prognosis in patients with sarcoma. Moreover, the novel immune gene expression analysis may provide clinical guidance for predicting prognosis in patients with sarcoma.
abstract_unstemmed	Cells of the tumor microenvironment exert a vital influence on sarcoma prognosis. This study aimed to analyze and identify differentially expressed genes (DEGs) related to immunity and their significance as immune biomarkers for the accurate prediction of overall survival of patients with sarcoma. The Cancer Genome Atlas was adopted for obtaining sarcoma gene microarray and corresponding clinical information. ESTIMATE algorithm was used to calculate tumor immune microenvironment indices. Immune-associated DEGs were identified using the limma packages and were further analyzed using the ClusterProfiler package and STRING website. Based on the results of these analyses, we constructed a prognostic model. Furthermore, we assessed the prognosis prediction model through functional evaluation and analysis of GSE17674. The functional analysis revealed that the upregulated immune DEGs were related to immune-related aspects. Chemokine ligands/receptors and immune-related genes were found to be vital for sarcoma formation and progression. We established a prognostic signature of seven genes, which indicated that high-risk cases exhibit poor prognostic outcome. The prognostic signature constructed in this study can accurately predict the overall prognosis in patients with sarcoma. Moreover, the novel immune gene expression analysis may provide clinical guidance for predicting prognosis in patients with sarcoma.
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title_short	A seven-gene signature and the C–C motif chemokine receptor family genes are the sarcoma-related immune genes
url	https://doi.org/10.1080/21655979.2021.1981797 https://doaj.org/article/8b084d36064c44c98d0442e77facbace http://dx.doi.org/10.1080/21655979.2021.1981797 https://doaj.org/toc/2165-5979 https://doaj.org/toc/2165-5987
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author2	Tuo Liang Jiemei Cen Jie Jiang Shixin Pan Shengsheng Huang Liyi Chen Xuhua Sun Hao Li Tianyou Chen Wei Liang Shian Liao Chaojie Yu Yuanlin Yao Zhen Ye Wuhua Chen Hao Guo Xinli Zhan Chong Liu
author2Str	Tuo Liang Jiemei Cen Jie Jiang Shixin Pan Shengsheng Huang Liyi Chen Xuhua Sun Hao Li Tianyou Chen Wei Liang Shian Liao Chaojie Yu Yuanlin Yao Zhen Ye Wuhua Chen Hao Guo Xinli Zhan Chong Liu
ppnlink	770398189
callnumber-subject	TP - Chemical Technology
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doi_str	10.1080/21655979.2021.1981797
callnumber-a	TP248.13-248.65
up_date	2024-07-03T21:50:44.763Z
_version_	1803596275140001793
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This study aimed to analyze and identify differentially expressed genes (DEGs) related to immunity and their significance as immune biomarkers for the accurate prediction of overall survival of patients with sarcoma. The Cancer Genome Atlas was adopted for obtaining sarcoma gene microarray and corresponding clinical information. ESTIMATE algorithm was used to calculate tumor immune microenvironment indices. Immune-associated DEGs were identified using the limma packages and were further analyzed using the ClusterProfiler package and STRING website. Based on the results of these analyses, we constructed a prognostic model. Furthermore, we assessed the prognosis prediction model through functional evaluation and analysis of GSE17674. The functional analysis revealed that the upregulated immune DEGs were related to immune-related aspects. Chemokine ligands/receptors and immune-related genes were found to be vital for sarcoma formation and progression. 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A seven-gene signature and the C–C motif chemokine receptor family genes are the sarcoma-related immune genes

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