Exploring oncogenes for renal clear cell carcinoma based on G protein-coupled receptor-associated genes

Abstract G protein-coupled receptors (GPCRs) are a class of receptors on cell membranes that regulate various biological processes in cells, such as cell proliferation, differentiation, migration, apoptosis, and metabolism, by interacting with G proteins. However, the role of G protein-coupled recep...
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Autor*in:	Chengcun Zhu [verfasserIn] Zhou Sun [verfasserIn] Jie Wang [verfasserIn] Xiangdi Meng [verfasserIn] Zhaosen Ma [verfasserIn] Rui Guo [verfasserIn] Jiqiang Niu [verfasserIn] Lisa Jia Tran [verfasserIn] Jing Zhang [verfasserIn] Tianxiao Jiang [verfasserIn] Yunfei Liu [verfasserIn] Fangdie Ye [verfasserIn] Baoluo Ma [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Clear cell renal cell carcinoma G protein-coupled receptors TCGA Transcriptome profiling Single cell RNA sequencing Survival analysis

Übergeordnetes Werk:	In: Discover Oncology - Springer, 2021, 14(2023), 1, Seite 15
Übergeordnetes Werk:	volume:14 ; year:2023 ; number:1 ; pages:15

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1007/s12672-023-00795-z

Katalog-ID:	DOAJ091923492

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allfields	10.1007/s12672-023-00795-z doi (DE-627)DOAJ091923492 (DE-599)DOAJc72d788b9ef74c5c9c8d5dff7e810fe8 DE-627 ger DE-627 rakwb eng RC254-282 Chengcun Zhu verfasserin aut Exploring oncogenes for renal clear cell carcinoma based on G protein-coupled receptor-associated genes 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract G protein-coupled receptors (GPCRs) are a class of receptors on cell membranes that regulate various biological processes in cells, such as cell proliferation, differentiation, migration, apoptosis, and metabolism, by interacting with G proteins. However, the role of G protein-coupled receptors in predicting the prognosis of renal clear cell carcinoma is still unknown. The transcriptome data and clinical profiles of renal clear cell carcinoma patients, were downloaded from TCGA databases, and the validation group data were downloaded from number GSE167573, including 63 tumor samples and 14 normal samples. Single-cell RNA sequencing data were downloaded from the GEO database, No. GSE152938 and selected samples were used for GSEA enrichment analysis, WGCNA subgroup analysis, single-cell data analysis, and mutation analysis to explore the role of G protein-coupled receptor-related genes in the diagnosis and prognosis of renal clear cell carcinoma and to verify their reliability with cellular experiments. Finally, this study establishes a disease model based on G protein-coupled receptor-related genes, which may help to propose targeted therapeutic regimens in different strata of renal cell carcinoma patients.Author names: Please confirm if the author names are presented accurately and in the correct sequence (given name, middle name/initial, family name). Author: Given name [Lisa Jia] Last name [Tran].It's ok! Clear cell renal cell carcinoma G protein-coupled receptors TCGA Transcriptome profiling Single cell RNA sequencing Survival analysis Neoplasms. Tumors. Oncology. Including cancer and carcinogens Zhou Sun verfasserin aut Jie Wang verfasserin aut Xiangdi Meng verfasserin aut Zhaosen Ma verfasserin aut Rui Guo verfasserin aut Jiqiang Niu verfasserin aut Lisa Jia Tran verfasserin aut Jing Zhang verfasserin aut Tianxiao Jiang verfasserin aut Yunfei Liu verfasserin aut Fangdie Ye verfasserin aut Baoluo Ma verfasserin aut In Discover Oncology Springer, 2021 14(2023), 1, Seite 15 (DE-627)1753566347 27306011 nnns volume:14 year:2023 number:1 pages:15 https://doi.org/10.1007/s12672-023-00795-z kostenfrei https://doaj.org/article/c72d788b9ef74c5c9c8d5dff7e810fe8 kostenfrei https://doi.org/10.1007/s12672-023-00795-z kostenfrei https://doaj.org/toc/2730-6011 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_2119 GBV_ILN_2190 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2023 1 15
spelling	10.1007/s12672-023-00795-z doi (DE-627)DOAJ091923492 (DE-599)DOAJc72d788b9ef74c5c9c8d5dff7e810fe8 DE-627 ger DE-627 rakwb eng RC254-282 Chengcun Zhu verfasserin aut Exploring oncogenes for renal clear cell carcinoma based on G protein-coupled receptor-associated genes 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract G protein-coupled receptors (GPCRs) are a class of receptors on cell membranes that regulate various biological processes in cells, such as cell proliferation, differentiation, migration, apoptosis, and metabolism, by interacting with G proteins. However, the role of G protein-coupled receptors in predicting the prognosis of renal clear cell carcinoma is still unknown. The transcriptome data and clinical profiles of renal clear cell carcinoma patients, were downloaded from TCGA databases, and the validation group data were downloaded from number GSE167573, including 63 tumor samples and 14 normal samples. Single-cell RNA sequencing data were downloaded from the GEO database, No. GSE152938 and selected samples were used for GSEA enrichment analysis, WGCNA subgroup analysis, single-cell data analysis, and mutation analysis to explore the role of G protein-coupled receptor-related genes in the diagnosis and prognosis of renal clear cell carcinoma and to verify their reliability with cellular experiments. Finally, this study establishes a disease model based on G protein-coupled receptor-related genes, which may help to propose targeted therapeutic regimens in different strata of renal cell carcinoma patients.Author names: Please confirm if the author names are presented accurately and in the correct sequence (given name, middle name/initial, family name). Author: Given name [Lisa Jia] Last name [Tran].It's ok! Clear cell renal cell carcinoma G protein-coupled receptors TCGA Transcriptome profiling Single cell RNA sequencing Survival analysis Neoplasms. Tumors. Oncology. Including cancer and carcinogens Zhou Sun verfasserin aut Jie Wang verfasserin aut Xiangdi Meng verfasserin aut Zhaosen Ma verfasserin aut Rui Guo verfasserin aut Jiqiang Niu verfasserin aut Lisa Jia Tran verfasserin aut Jing Zhang verfasserin aut Tianxiao Jiang verfasserin aut Yunfei Liu verfasserin aut Fangdie Ye verfasserin aut Baoluo Ma verfasserin aut In Discover Oncology Springer, 2021 14(2023), 1, Seite 15 (DE-627)1753566347 27306011 nnns volume:14 year:2023 number:1 pages:15 https://doi.org/10.1007/s12672-023-00795-z kostenfrei https://doaj.org/article/c72d788b9ef74c5c9c8d5dff7e810fe8 kostenfrei https://doi.org/10.1007/s12672-023-00795-z kostenfrei https://doaj.org/toc/2730-6011 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_2119 GBV_ILN_2190 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2023 1 15
allfields_unstemmed	10.1007/s12672-023-00795-z doi (DE-627)DOAJ091923492 (DE-599)DOAJc72d788b9ef74c5c9c8d5dff7e810fe8 DE-627 ger DE-627 rakwb eng RC254-282 Chengcun Zhu verfasserin aut Exploring oncogenes for renal clear cell carcinoma based on G protein-coupled receptor-associated genes 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract G protein-coupled receptors (GPCRs) are a class of receptors on cell membranes that regulate various biological processes in cells, such as cell proliferation, differentiation, migration, apoptosis, and metabolism, by interacting with G proteins. However, the role of G protein-coupled receptors in predicting the prognosis of renal clear cell carcinoma is still unknown. The transcriptome data and clinical profiles of renal clear cell carcinoma patients, were downloaded from TCGA databases, and the validation group data were downloaded from number GSE167573, including 63 tumor samples and 14 normal samples. Single-cell RNA sequencing data were downloaded from the GEO database, No. GSE152938 and selected samples were used for GSEA enrichment analysis, WGCNA subgroup analysis, single-cell data analysis, and mutation analysis to explore the role of G protein-coupled receptor-related genes in the diagnosis and prognosis of renal clear cell carcinoma and to verify their reliability with cellular experiments. Finally, this study establishes a disease model based on G protein-coupled receptor-related genes, which may help to propose targeted therapeutic regimens in different strata of renal cell carcinoma patients.Author names: Please confirm if the author names are presented accurately and in the correct sequence (given name, middle name/initial, family name). Author: Given name [Lisa Jia] Last name [Tran].It's ok! Clear cell renal cell carcinoma G protein-coupled receptors TCGA Transcriptome profiling Single cell RNA sequencing Survival analysis Neoplasms. Tumors. Oncology. Including cancer and carcinogens Zhou Sun verfasserin aut Jie Wang verfasserin aut Xiangdi Meng verfasserin aut Zhaosen Ma verfasserin aut Rui Guo verfasserin aut Jiqiang Niu verfasserin aut Lisa Jia Tran verfasserin aut Jing Zhang verfasserin aut Tianxiao Jiang verfasserin aut Yunfei Liu verfasserin aut Fangdie Ye verfasserin aut Baoluo Ma verfasserin aut In Discover Oncology Springer, 2021 14(2023), 1, Seite 15 (DE-627)1753566347 27306011 nnns volume:14 year:2023 number:1 pages:15 https://doi.org/10.1007/s12672-023-00795-z kostenfrei https://doaj.org/article/c72d788b9ef74c5c9c8d5dff7e810fe8 kostenfrei https://doi.org/10.1007/s12672-023-00795-z kostenfrei https://doaj.org/toc/2730-6011 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_2119 GBV_ILN_2190 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2023 1 15
allfieldsGer	10.1007/s12672-023-00795-z doi (DE-627)DOAJ091923492 (DE-599)DOAJc72d788b9ef74c5c9c8d5dff7e810fe8 DE-627 ger DE-627 rakwb eng RC254-282 Chengcun Zhu verfasserin aut Exploring oncogenes for renal clear cell carcinoma based on G protein-coupled receptor-associated genes 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract G protein-coupled receptors (GPCRs) are a class of receptors on cell membranes that regulate various biological processes in cells, such as cell proliferation, differentiation, migration, apoptosis, and metabolism, by interacting with G proteins. However, the role of G protein-coupled receptors in predicting the prognosis of renal clear cell carcinoma is still unknown. The transcriptome data and clinical profiles of renal clear cell carcinoma patients, were downloaded from TCGA databases, and the validation group data were downloaded from number GSE167573, including 63 tumor samples and 14 normal samples. Single-cell RNA sequencing data were downloaded from the GEO database, No. GSE152938 and selected samples were used for GSEA enrichment analysis, WGCNA subgroup analysis, single-cell data analysis, and mutation analysis to explore the role of G protein-coupled receptor-related genes in the diagnosis and prognosis of renal clear cell carcinoma and to verify their reliability with cellular experiments. Finally, this study establishes a disease model based on G protein-coupled receptor-related genes, which may help to propose targeted therapeutic regimens in different strata of renal cell carcinoma patients.Author names: Please confirm if the author names are presented accurately and in the correct sequence (given name, middle name/initial, family name). Author: Given name [Lisa Jia] Last name [Tran].It's ok! Clear cell renal cell carcinoma G protein-coupled receptors TCGA Transcriptome profiling Single cell RNA sequencing Survival analysis Neoplasms. Tumors. Oncology. Including cancer and carcinogens Zhou Sun verfasserin aut Jie Wang verfasserin aut Xiangdi Meng verfasserin aut Zhaosen Ma verfasserin aut Rui Guo verfasserin aut Jiqiang Niu verfasserin aut Lisa Jia Tran verfasserin aut Jing Zhang verfasserin aut Tianxiao Jiang verfasserin aut Yunfei Liu verfasserin aut Fangdie Ye verfasserin aut Baoluo Ma verfasserin aut In Discover Oncology Springer, 2021 14(2023), 1, Seite 15 (DE-627)1753566347 27306011 nnns volume:14 year:2023 number:1 pages:15 https://doi.org/10.1007/s12672-023-00795-z kostenfrei https://doaj.org/article/c72d788b9ef74c5c9c8d5dff7e810fe8 kostenfrei https://doi.org/10.1007/s12672-023-00795-z kostenfrei https://doaj.org/toc/2730-6011 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_2119 GBV_ILN_2190 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2023 1 15
allfieldsSound	10.1007/s12672-023-00795-z doi (DE-627)DOAJ091923492 (DE-599)DOAJc72d788b9ef74c5c9c8d5dff7e810fe8 DE-627 ger DE-627 rakwb eng RC254-282 Chengcun Zhu verfasserin aut Exploring oncogenes for renal clear cell carcinoma based on G protein-coupled receptor-associated genes 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract G protein-coupled receptors (GPCRs) are a class of receptors on cell membranes that regulate various biological processes in cells, such as cell proliferation, differentiation, migration, apoptosis, and metabolism, by interacting with G proteins. However, the role of G protein-coupled receptors in predicting the prognosis of renal clear cell carcinoma is still unknown. The transcriptome data and clinical profiles of renal clear cell carcinoma patients, were downloaded from TCGA databases, and the validation group data were downloaded from number GSE167573, including 63 tumor samples and 14 normal samples. Single-cell RNA sequencing data were downloaded from the GEO database, No. GSE152938 and selected samples were used for GSEA enrichment analysis, WGCNA subgroup analysis, single-cell data analysis, and mutation analysis to explore the role of G protein-coupled receptor-related genes in the diagnosis and prognosis of renal clear cell carcinoma and to verify their reliability with cellular experiments. Finally, this study establishes a disease model based on G protein-coupled receptor-related genes, which may help to propose targeted therapeutic regimens in different strata of renal cell carcinoma patients.Author names: Please confirm if the author names are presented accurately and in the correct sequence (given name, middle name/initial, family name). Author: Given name [Lisa Jia] Last name [Tran].It's ok! Clear cell renal cell carcinoma G protein-coupled receptors TCGA Transcriptome profiling Single cell RNA sequencing Survival analysis Neoplasms. Tumors. Oncology. Including cancer and carcinogens Zhou Sun verfasserin aut Jie Wang verfasserin aut Xiangdi Meng verfasserin aut Zhaosen Ma verfasserin aut Rui Guo verfasserin aut Jiqiang Niu verfasserin aut Lisa Jia Tran verfasserin aut Jing Zhang verfasserin aut Tianxiao Jiang verfasserin aut Yunfei Liu verfasserin aut Fangdie Ye verfasserin aut Baoluo Ma verfasserin aut In Discover Oncology Springer, 2021 14(2023), 1, Seite 15 (DE-627)1753566347 27306011 nnns volume:14 year:2023 number:1 pages:15 https://doi.org/10.1007/s12672-023-00795-z kostenfrei https://doaj.org/article/c72d788b9ef74c5c9c8d5dff7e810fe8 kostenfrei https://doi.org/10.1007/s12672-023-00795-z kostenfrei https://doaj.org/toc/2730-6011 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_2119 GBV_ILN_2190 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2023 1 15
language	English
source	In Discover Oncology 14(2023), 1, Seite 15 volume:14 year:2023 number:1 pages:15
sourceStr	In Discover Oncology 14(2023), 1, Seite 15 volume:14 year:2023 number:1 pages:15
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Clear cell renal cell carcinoma G protein-coupled receptors TCGA Transcriptome profiling Single cell RNA sequencing Survival analysis Neoplasms. Tumors. Oncology. Including cancer and carcinogens
isfreeaccess_bool	true
container_title	Discover Oncology
authorswithroles_txt_mv	Chengcun Zhu @@aut@@ Zhou Sun @@aut@@ Jie Wang @@aut@@ Xiangdi Meng @@aut@@ Zhaosen Ma @@aut@@ Rui Guo @@aut@@ Jiqiang Niu @@aut@@ Lisa Jia Tran @@aut@@ Jing Zhang @@aut@@ Tianxiao Jiang @@aut@@ Yunfei Liu @@aut@@ Fangdie Ye @@aut@@ Baoluo Ma @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	1753566347
id	DOAJ091923492
language_de	englisch
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callnumber-first	R - Medicine
author	Chengcun Zhu
spellingShingle	Chengcun Zhu misc RC254-282 misc Clear cell renal cell carcinoma misc G protein-coupled receptors misc TCGA misc Transcriptome profiling misc Single cell RNA sequencing misc Survival analysis misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens Exploring oncogenes for renal clear cell carcinoma based on G protein-coupled receptor-associated genes
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topic_title	RC254-282 Exploring oncogenes for renal clear cell carcinoma based on G protein-coupled receptor-associated genes Clear cell renal cell carcinoma G protein-coupled receptors TCGA Transcriptome profiling Single cell RNA sequencing Survival analysis
topic	misc RC254-282 misc Clear cell renal cell carcinoma misc G protein-coupled receptors misc TCGA misc Transcriptome profiling misc Single cell RNA sequencing misc Survival analysis misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens
topic_unstemmed	misc RC254-282 misc Clear cell renal cell carcinoma misc G protein-coupled receptors misc TCGA misc Transcriptome profiling misc Single cell RNA sequencing misc Survival analysis misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens
topic_browse	misc RC254-282 misc Clear cell renal cell carcinoma misc G protein-coupled receptors misc TCGA misc Transcriptome profiling misc Single cell RNA sequencing misc Survival analysis misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens
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title	Exploring oncogenes for renal clear cell carcinoma based on G protein-coupled receptor-associated genes
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title_full	Exploring oncogenes for renal clear cell carcinoma based on G protein-coupled receptor-associated genes
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author_browse	Chengcun Zhu Zhou Sun Jie Wang Xiangdi Meng Zhaosen Ma Rui Guo Jiqiang Niu Lisa Jia Tran Jing Zhang Tianxiao Jiang Yunfei Liu Fangdie Ye Baoluo Ma
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title_sort	exploring oncogenes for renal clear cell carcinoma based on g protein-coupled receptor-associated genes
callnumber	RC254-282
title_auth	Exploring oncogenes for renal clear cell carcinoma based on G protein-coupled receptor-associated genes
abstract	Abstract G protein-coupled receptors (GPCRs) are a class of receptors on cell membranes that regulate various biological processes in cells, such as cell proliferation, differentiation, migration, apoptosis, and metabolism, by interacting with G proteins. However, the role of G protein-coupled receptors in predicting the prognosis of renal clear cell carcinoma is still unknown. The transcriptome data and clinical profiles of renal clear cell carcinoma patients, were downloaded from TCGA databases, and the validation group data were downloaded from number GSE167573, including 63 tumor samples and 14 normal samples. Single-cell RNA sequencing data were downloaded from the GEO database, No. GSE152938 and selected samples were used for GSEA enrichment analysis, WGCNA subgroup analysis, single-cell data analysis, and mutation analysis to explore the role of G protein-coupled receptor-related genes in the diagnosis and prognosis of renal clear cell carcinoma and to verify their reliability with cellular experiments. Finally, this study establishes a disease model based on G protein-coupled receptor-related genes, which may help to propose targeted therapeutic regimens in different strata of renal cell carcinoma patients.Author names: Please confirm if the author names are presented accurately and in the correct sequence (given name, middle name/initial, family name). Author: Given name [Lisa Jia] Last name [Tran].It's ok!
abstractGer	Abstract G protein-coupled receptors (GPCRs) are a class of receptors on cell membranes that regulate various biological processes in cells, such as cell proliferation, differentiation, migration, apoptosis, and metabolism, by interacting with G proteins. However, the role of G protein-coupled receptors in predicting the prognosis of renal clear cell carcinoma is still unknown. The transcriptome data and clinical profiles of renal clear cell carcinoma patients, were downloaded from TCGA databases, and the validation group data were downloaded from number GSE167573, including 63 tumor samples and 14 normal samples. Single-cell RNA sequencing data were downloaded from the GEO database, No. GSE152938 and selected samples were used for GSEA enrichment analysis, WGCNA subgroup analysis, single-cell data analysis, and mutation analysis to explore the role of G protein-coupled receptor-related genes in the diagnosis and prognosis of renal clear cell carcinoma and to verify their reliability with cellular experiments. Finally, this study establishes a disease model based on G protein-coupled receptor-related genes, which may help to propose targeted therapeutic regimens in different strata of renal cell carcinoma patients.Author names: Please confirm if the author names are presented accurately and in the correct sequence (given name, middle name/initial, family name). Author: Given name [Lisa Jia] Last name [Tran].It's ok!
abstract_unstemmed	Abstract G protein-coupled receptors (GPCRs) are a class of receptors on cell membranes that regulate various biological processes in cells, such as cell proliferation, differentiation, migration, apoptosis, and metabolism, by interacting with G proteins. However, the role of G protein-coupled receptors in predicting the prognosis of renal clear cell carcinoma is still unknown. The transcriptome data and clinical profiles of renal clear cell carcinoma patients, were downloaded from TCGA databases, and the validation group data were downloaded from number GSE167573, including 63 tumor samples and 14 normal samples. Single-cell RNA sequencing data were downloaded from the GEO database, No. GSE152938 and selected samples were used for GSEA enrichment analysis, WGCNA subgroup analysis, single-cell data analysis, and mutation analysis to explore the role of G protein-coupled receptor-related genes in the diagnosis and prognosis of renal clear cell carcinoma and to verify their reliability with cellular experiments. Finally, this study establishes a disease model based on G protein-coupled receptor-related genes, which may help to propose targeted therapeutic regimens in different strata of renal cell carcinoma patients.Author names: Please confirm if the author names are presented accurately and in the correct sequence (given name, middle name/initial, family name). Author: Given name [Lisa Jia] Last name [Tran].It's ok!
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title_short	Exploring oncogenes for renal clear cell carcinoma based on G protein-coupled receptor-associated genes
url	https://doi.org/10.1007/s12672-023-00795-z https://doaj.org/article/c72d788b9ef74c5c9c8d5dff7e810fe8 https://doaj.org/toc/2730-6011
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Exploring oncogenes for renal clear cell carcinoma based on G protein-coupled receptor-associated genes

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