Identification of critical prognosis signature associated with lymph node metastasis of stomach adenocarcinomas

Abstract Lymph node metastasis (LNM) is an important factor affecting the prognosis of patients with gastric adenocarcinoma (STAD), which is the most common malignancy of the human digestive system. Current detection techniques have limited sensitivity and specificity, and there is a lack of effective biomarkers to screen for LNM. Therefore, it is critical to screen for biomarkers that predict LNM in STAD. Gene expression differential analysis (false discovery rate < 0.05, |log2Fold change| ≥1.5) was performed on 102 LNM samples, 224 non-LNM samples, and 29 normal gastric tissue samples from The Cancer Genome Atlas (TCGA) STAD dataset, and 269 LNM-specific genes (DEGs) were obtained. Enrichment analysis showed that LNM-specific genes functioned mainly in cytokine-cytokine receptor interactions, calcium signaling, and other pathways. Ten DEGs significantly associated with overall survival in STAD patients were screened by multivariate Cox regression, and an LNM-based 10-mRNA prognostic signature was established (Logrank P < 0.0001). This 10-mRNA signature was well predicted in both the TCGA training set and the Gene Expression Omnibus validation dataset (GSE84437) and was associated with survival in patients with LNM or advanced-stage STAD. Using Kaplan-Meier survival, receiver operating characteristic curve, C-index analysis, and decision curve analysis, the 10-mRNA signature was found to be a more effective predictor of prognosis in STAD patients than the other two reported models (P < 0.0005). Protein-protein interaction network and gene set enrichment analysis of the 10-mRNA signature revealed that the signature may affect the expression of multiple biological pathways and related genes. Finally, the expression levels of prognostic genes in STAD tissues and cell lines were verified using qRT-PCR, Western blot, and the Human Protein Atlas database. Taken together, the prognostic signature constructed in this study may become an indicator for clinical prognostic assessment of LNM-STAD and provide a new strategy for future targeted therapy. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Xiaohui Wang [verfasserIn] Wei Zhang [verfasserIn] Yulin Guo [verfasserIn] Yifei Zhang [verfasserIn] Xiaofeng Bai [verfasserIn] Yibin Xie [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Data mining Prognosis Biological maker Expression difference Functional enrichment analysis

Übergeordnetes Werk:	In: World Journal of Surgical Oncology - BMC, 2003, 21(2023), 1, Seite 13
Übergeordnetes Werk:	volume:21 ; year:2023 ; number:1 ; pages:13

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1186/s12957-023-02940-y

Katalog-ID:	DOAJ08773771X

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520			\|a Abstract Lymph node metastasis (LNM) is an important factor affecting the prognosis of patients with gastric adenocarcinoma (STAD), which is the most common malignancy of the human digestive system. Current detection techniques have limited sensitivity and specificity, and there is a lack of effective biomarkers to screen for LNM. Therefore, it is critical to screen for biomarkers that predict LNM in STAD. Gene expression differential analysis (false discovery rate < 0.05, \|log2Fold change\| ≥1.5) was performed on 102 LNM samples, 224 non-LNM samples, and 29 normal gastric tissue samples from The Cancer Genome Atlas (TCGA) STAD dataset, and 269 LNM-specific genes (DEGs) were obtained. Enrichment analysis showed that LNM-specific genes functioned mainly in cytokine-cytokine receptor interactions, calcium signaling, and other pathways. Ten DEGs significantly associated with overall survival in STAD patients were screened by multivariate Cox regression, and an LNM-based 10-mRNA prognostic signature was established (Logrank P < 0.0001). This 10-mRNA signature was well predicted in both the TCGA training set and the Gene Expression Omnibus validation dataset (GSE84437) and was associated with survival in patients with LNM or advanced-stage STAD. Using Kaplan-Meier survival, receiver operating characteristic curve, C-index analysis, and decision curve analysis, the 10-mRNA signature was found to be a more effective predictor of prognosis in STAD patients than the other two reported models (P < 0.0005). Protein-protein interaction network and gene set enrichment analysis of the 10-mRNA signature revealed that the signature may affect the expression of multiple biological pathways and related genes. Finally, the expression levels of prognostic genes in STAD tissues and cell lines were verified using qRT-PCR, Western blot, and the Human Protein Atlas database. Taken together, the prognostic signature constructed in this study may become an indicator for clinical prognostic assessment of LNM-STAD and provide a new strategy for future targeted therapy.
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allfields	10.1186/s12957-023-02940-y doi (DE-627)DOAJ08773771X (DE-599)DOAJ98b289d8ef9c4c7d8627957691981dfe DE-627 ger DE-627 rakwb eng RD1-811 RC254-282 Xiaohui Wang verfasserin aut Identification of critical prognosis signature associated with lymph node metastasis of stomach adenocarcinomas 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Lymph node metastasis (LNM) is an important factor affecting the prognosis of patients with gastric adenocarcinoma (STAD), which is the most common malignancy of the human digestive system. Current detection techniques have limited sensitivity and specificity, and there is a lack of effective biomarkers to screen for LNM. Therefore, it is critical to screen for biomarkers that predict LNM in STAD. Gene expression differential analysis (false discovery rate < 0.05, \|log2Fold change\| ≥1.5) was performed on 102 LNM samples, 224 non-LNM samples, and 29 normal gastric tissue samples from The Cancer Genome Atlas (TCGA) STAD dataset, and 269 LNM-specific genes (DEGs) were obtained. Enrichment analysis showed that LNM-specific genes functioned mainly in cytokine-cytokine receptor interactions, calcium signaling, and other pathways. Ten DEGs significantly associated with overall survival in STAD patients were screened by multivariate Cox regression, and an LNM-based 10-mRNA prognostic signature was established (Logrank P < 0.0001). This 10-mRNA signature was well predicted in both the TCGA training set and the Gene Expression Omnibus validation dataset (GSE84437) and was associated with survival in patients with LNM or advanced-stage STAD. Using Kaplan-Meier survival, receiver operating characteristic curve, C-index analysis, and decision curve analysis, the 10-mRNA signature was found to be a more effective predictor of prognosis in STAD patients than the other two reported models (P < 0.0005). Protein-protein interaction network and gene set enrichment analysis of the 10-mRNA signature revealed that the signature may affect the expression of multiple biological pathways and related genes. Finally, the expression levels of prognostic genes in STAD tissues and cell lines were verified using qRT-PCR, Western blot, and the Human Protein Atlas database. Taken together, the prognostic signature constructed in this study may become an indicator for clinical prognostic assessment of LNM-STAD and provide a new strategy for future targeted therapy. Data mining Prognosis Biological maker Expression difference Functional enrichment analysis Surgery Neoplasms. Tumors. Oncology. Including cancer and carcinogens Wei Zhang verfasserin aut Yulin Guo verfasserin aut Yifei Zhang verfasserin aut Xiaofeng Bai verfasserin aut Yibin Xie verfasserin aut In World Journal of Surgical Oncology BMC, 2003 21(2023), 1, Seite 13 (DE-627)369082907 (DE-600)2118383-1 14777819 nnns volume:21 year:2023 number:1 pages:13 https://doi.org/10.1186/s12957-023-02940-y kostenfrei https://doaj.org/article/98b289d8ef9c4c7d8627957691981dfe kostenfrei https://doi.org/10.1186/s12957-023-02940-y kostenfrei https://doaj.org/toc/1477-7819 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_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_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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 21 2023 1 13
spelling	10.1186/s12957-023-02940-y doi (DE-627)DOAJ08773771X (DE-599)DOAJ98b289d8ef9c4c7d8627957691981dfe DE-627 ger DE-627 rakwb eng RD1-811 RC254-282 Xiaohui Wang verfasserin aut Identification of critical prognosis signature associated with lymph node metastasis of stomach adenocarcinomas 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Lymph node metastasis (LNM) is an important factor affecting the prognosis of patients with gastric adenocarcinoma (STAD), which is the most common malignancy of the human digestive system. Current detection techniques have limited sensitivity and specificity, and there is a lack of effective biomarkers to screen for LNM. Therefore, it is critical to screen for biomarkers that predict LNM in STAD. Gene expression differential analysis (false discovery rate < 0.05, \|log2Fold change\| ≥1.5) was performed on 102 LNM samples, 224 non-LNM samples, and 29 normal gastric tissue samples from The Cancer Genome Atlas (TCGA) STAD dataset, and 269 LNM-specific genes (DEGs) were obtained. Enrichment analysis showed that LNM-specific genes functioned mainly in cytokine-cytokine receptor interactions, calcium signaling, and other pathways. Ten DEGs significantly associated with overall survival in STAD patients were screened by multivariate Cox regression, and an LNM-based 10-mRNA prognostic signature was established (Logrank P < 0.0001). This 10-mRNA signature was well predicted in both the TCGA training set and the Gene Expression Omnibus validation dataset (GSE84437) and was associated with survival in patients with LNM or advanced-stage STAD. Using Kaplan-Meier survival, receiver operating characteristic curve, C-index analysis, and decision curve analysis, the 10-mRNA signature was found to be a more effective predictor of prognosis in STAD patients than the other two reported models (P < 0.0005). Protein-protein interaction network and gene set enrichment analysis of the 10-mRNA signature revealed that the signature may affect the expression of multiple biological pathways and related genes. Finally, the expression levels of prognostic genes in STAD tissues and cell lines were verified using qRT-PCR, Western blot, and the Human Protein Atlas database. Taken together, the prognostic signature constructed in this study may become an indicator for clinical prognostic assessment of LNM-STAD and provide a new strategy for future targeted therapy. Data mining Prognosis Biological maker Expression difference Functional enrichment analysis Surgery Neoplasms. Tumors. Oncology. Including cancer and carcinogens Wei Zhang verfasserin aut Yulin Guo verfasserin aut Yifei Zhang verfasserin aut Xiaofeng Bai verfasserin aut Yibin Xie verfasserin aut In World Journal of Surgical Oncology BMC, 2003 21(2023), 1, Seite 13 (DE-627)369082907 (DE-600)2118383-1 14777819 nnns volume:21 year:2023 number:1 pages:13 https://doi.org/10.1186/s12957-023-02940-y kostenfrei https://doaj.org/article/98b289d8ef9c4c7d8627957691981dfe kostenfrei https://doi.org/10.1186/s12957-023-02940-y kostenfrei https://doaj.org/toc/1477-7819 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_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_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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 21 2023 1 13
allfields_unstemmed	10.1186/s12957-023-02940-y doi (DE-627)DOAJ08773771X (DE-599)DOAJ98b289d8ef9c4c7d8627957691981dfe DE-627 ger DE-627 rakwb eng RD1-811 RC254-282 Xiaohui Wang verfasserin aut Identification of critical prognosis signature associated with lymph node metastasis of stomach adenocarcinomas 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Lymph node metastasis (LNM) is an important factor affecting the prognosis of patients with gastric adenocarcinoma (STAD), which is the most common malignancy of the human digestive system. Current detection techniques have limited sensitivity and specificity, and there is a lack of effective biomarkers to screen for LNM. Therefore, it is critical to screen for biomarkers that predict LNM in STAD. Gene expression differential analysis (false discovery rate < 0.05, \|log2Fold change\| ≥1.5) was performed on 102 LNM samples, 224 non-LNM samples, and 29 normal gastric tissue samples from The Cancer Genome Atlas (TCGA) STAD dataset, and 269 LNM-specific genes (DEGs) were obtained. Enrichment analysis showed that LNM-specific genes functioned mainly in cytokine-cytokine receptor interactions, calcium signaling, and other pathways. Ten DEGs significantly associated with overall survival in STAD patients were screened by multivariate Cox regression, and an LNM-based 10-mRNA prognostic signature was established (Logrank P < 0.0001). This 10-mRNA signature was well predicted in both the TCGA training set and the Gene Expression Omnibus validation dataset (GSE84437) and was associated with survival in patients with LNM or advanced-stage STAD. Using Kaplan-Meier survival, receiver operating characteristic curve, C-index analysis, and decision curve analysis, the 10-mRNA signature was found to be a more effective predictor of prognosis in STAD patients than the other two reported models (P < 0.0005). Protein-protein interaction network and gene set enrichment analysis of the 10-mRNA signature revealed that the signature may affect the expression of multiple biological pathways and related genes. Finally, the expression levels of prognostic genes in STAD tissues and cell lines were verified using qRT-PCR, Western blot, and the Human Protein Atlas database. Taken together, the prognostic signature constructed in this study may become an indicator for clinical prognostic assessment of LNM-STAD and provide a new strategy for future targeted therapy. Data mining Prognosis Biological maker Expression difference Functional enrichment analysis Surgery Neoplasms. Tumors. Oncology. Including cancer and carcinogens Wei Zhang verfasserin aut Yulin Guo verfasserin aut Yifei Zhang verfasserin aut Xiaofeng Bai verfasserin aut Yibin Xie verfasserin aut In World Journal of Surgical Oncology BMC, 2003 21(2023), 1, Seite 13 (DE-627)369082907 (DE-600)2118383-1 14777819 nnns volume:21 year:2023 number:1 pages:13 https://doi.org/10.1186/s12957-023-02940-y kostenfrei https://doaj.org/article/98b289d8ef9c4c7d8627957691981dfe kostenfrei https://doi.org/10.1186/s12957-023-02940-y kostenfrei https://doaj.org/toc/1477-7819 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_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_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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 21 2023 1 13
allfieldsGer	10.1186/s12957-023-02940-y doi (DE-627)DOAJ08773771X (DE-599)DOAJ98b289d8ef9c4c7d8627957691981dfe DE-627 ger DE-627 rakwb eng RD1-811 RC254-282 Xiaohui Wang verfasserin aut Identification of critical prognosis signature associated with lymph node metastasis of stomach adenocarcinomas 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Lymph node metastasis (LNM) is an important factor affecting the prognosis of patients with gastric adenocarcinoma (STAD), which is the most common malignancy of the human digestive system. Current detection techniques have limited sensitivity and specificity, and there is a lack of effective biomarkers to screen for LNM. Therefore, it is critical to screen for biomarkers that predict LNM in STAD. Gene expression differential analysis (false discovery rate < 0.05, \|log2Fold change\| ≥1.5) was performed on 102 LNM samples, 224 non-LNM samples, and 29 normal gastric tissue samples from The Cancer Genome Atlas (TCGA) STAD dataset, and 269 LNM-specific genes (DEGs) were obtained. Enrichment analysis showed that LNM-specific genes functioned mainly in cytokine-cytokine receptor interactions, calcium signaling, and other pathways. Ten DEGs significantly associated with overall survival in STAD patients were screened by multivariate Cox regression, and an LNM-based 10-mRNA prognostic signature was established (Logrank P < 0.0001). This 10-mRNA signature was well predicted in both the TCGA training set and the Gene Expression Omnibus validation dataset (GSE84437) and was associated with survival in patients with LNM or advanced-stage STAD. Using Kaplan-Meier survival, receiver operating characteristic curve, C-index analysis, and decision curve analysis, the 10-mRNA signature was found to be a more effective predictor of prognosis in STAD patients than the other two reported models (P < 0.0005). Protein-protein interaction network and gene set enrichment analysis of the 10-mRNA signature revealed that the signature may affect the expression of multiple biological pathways and related genes. Finally, the expression levels of prognostic genes in STAD tissues and cell lines were verified using qRT-PCR, Western blot, and the Human Protein Atlas database. Taken together, the prognostic signature constructed in this study may become an indicator for clinical prognostic assessment of LNM-STAD and provide a new strategy for future targeted therapy. Data mining Prognosis Biological maker Expression difference Functional enrichment analysis Surgery Neoplasms. Tumors. Oncology. Including cancer and carcinogens Wei Zhang verfasserin aut Yulin Guo verfasserin aut Yifei Zhang verfasserin aut Xiaofeng Bai verfasserin aut Yibin Xie verfasserin aut In World Journal of Surgical Oncology BMC, 2003 21(2023), 1, Seite 13 (DE-627)369082907 (DE-600)2118383-1 14777819 nnns volume:21 year:2023 number:1 pages:13 https://doi.org/10.1186/s12957-023-02940-y kostenfrei https://doaj.org/article/98b289d8ef9c4c7d8627957691981dfe kostenfrei https://doi.org/10.1186/s12957-023-02940-y kostenfrei https://doaj.org/toc/1477-7819 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_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_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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 21 2023 1 13
allfieldsSound	10.1186/s12957-023-02940-y doi (DE-627)DOAJ08773771X (DE-599)DOAJ98b289d8ef9c4c7d8627957691981dfe DE-627 ger DE-627 rakwb eng RD1-811 RC254-282 Xiaohui Wang verfasserin aut Identification of critical prognosis signature associated with lymph node metastasis of stomach adenocarcinomas 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Lymph node metastasis (LNM) is an important factor affecting the prognosis of patients with gastric adenocarcinoma (STAD), which is the most common malignancy of the human digestive system. Current detection techniques have limited sensitivity and specificity, and there is a lack of effective biomarkers to screen for LNM. Therefore, it is critical to screen for biomarkers that predict LNM in STAD. Gene expression differential analysis (false discovery rate < 0.05, \|log2Fold change\| ≥1.5) was performed on 102 LNM samples, 224 non-LNM samples, and 29 normal gastric tissue samples from The Cancer Genome Atlas (TCGA) STAD dataset, and 269 LNM-specific genes (DEGs) were obtained. Enrichment analysis showed that LNM-specific genes functioned mainly in cytokine-cytokine receptor interactions, calcium signaling, and other pathways. Ten DEGs significantly associated with overall survival in STAD patients were screened by multivariate Cox regression, and an LNM-based 10-mRNA prognostic signature was established (Logrank P < 0.0001). This 10-mRNA signature was well predicted in both the TCGA training set and the Gene Expression Omnibus validation dataset (GSE84437) and was associated with survival in patients with LNM or advanced-stage STAD. Using Kaplan-Meier survival, receiver operating characteristic curve, C-index analysis, and decision curve analysis, the 10-mRNA signature was found to be a more effective predictor of prognosis in STAD patients than the other two reported models (P < 0.0005). Protein-protein interaction network and gene set enrichment analysis of the 10-mRNA signature revealed that the signature may affect the expression of multiple biological pathways and related genes. Finally, the expression levels of prognostic genes in STAD tissues and cell lines were verified using qRT-PCR, Western blot, and the Human Protein Atlas database. Taken together, the prognostic signature constructed in this study may become an indicator for clinical prognostic assessment of LNM-STAD and provide a new strategy for future targeted therapy. Data mining Prognosis Biological maker Expression difference Functional enrichment analysis Surgery Neoplasms. Tumors. Oncology. Including cancer and carcinogens Wei Zhang verfasserin aut Yulin Guo verfasserin aut Yifei Zhang verfasserin aut Xiaofeng Bai verfasserin aut Yibin Xie verfasserin aut In World Journal of Surgical Oncology BMC, 2003 21(2023), 1, Seite 13 (DE-627)369082907 (DE-600)2118383-1 14777819 nnns volume:21 year:2023 number:1 pages:13 https://doi.org/10.1186/s12957-023-02940-y kostenfrei https://doaj.org/article/98b289d8ef9c4c7d8627957691981dfe kostenfrei https://doi.org/10.1186/s12957-023-02940-y kostenfrei https://doaj.org/toc/1477-7819 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_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_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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 21 2023 1 13
language	English
source	In World Journal of Surgical Oncology 21(2023), 1, Seite 13 volume:21 year:2023 number:1 pages:13
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topic_facet	Data mining Prognosis Biological maker Expression difference Functional enrichment analysis Surgery Neoplasms. Tumors. Oncology. Including cancer and carcinogens
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authorswithroles_txt_mv	Xiaohui Wang @@aut@@ Wei Zhang @@aut@@ Yulin Guo @@aut@@ Yifei Zhang @@aut@@ Xiaofeng Bai @@aut@@ Yibin Xie @@aut@@
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callnumber-first	R - Medicine
author	Xiaohui Wang
spellingShingle	Xiaohui Wang misc RD1-811 misc RC254-282 misc Data mining misc Prognosis misc Biological maker misc Expression difference misc Functional enrichment analysis misc Surgery misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens Identification of critical prognosis signature associated with lymph node metastasis of stomach adenocarcinomas
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issn	14777819
topic_title	RD1-811 RC254-282 Identification of critical prognosis signature associated with lymph node metastasis of stomach adenocarcinomas Data mining Prognosis Biological maker Expression difference Functional enrichment analysis
topic	misc RD1-811 misc RC254-282 misc Data mining misc Prognosis misc Biological maker misc Expression difference misc Functional enrichment analysis misc Surgery misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens
topic_unstemmed	misc RD1-811 misc RC254-282 misc Data mining misc Prognosis misc Biological maker misc Expression difference misc Functional enrichment analysis misc Surgery misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens
topic_browse	misc RD1-811 misc RC254-282 misc Data mining misc Prognosis misc Biological maker misc Expression difference misc Functional enrichment analysis misc Surgery misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens
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hierarchy_parent_title	World Journal of Surgical Oncology
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title	Identification of critical prognosis signature associated with lymph node metastasis of stomach adenocarcinomas
ctrlnum	(DE-627)DOAJ08773771X (DE-599)DOAJ98b289d8ef9c4c7d8627957691981dfe
title_full	Identification of critical prognosis signature associated with lymph node metastasis of stomach adenocarcinomas
author_sort	Xiaohui Wang
journal	World Journal of Surgical Oncology
journalStr	World Journal of Surgical Oncology
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lang_code	eng
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publishDateSort	2023
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author_browse	Xiaohui Wang Wei Zhang Yulin Guo Yifei Zhang Xiaofeng Bai Yibin Xie
container_volume	21
class	RD1-811 RC254-282
format_se	Elektronische Aufsätze
author-letter	Xiaohui Wang
doi_str_mv	10.1186/s12957-023-02940-y
author2-role	verfasserin
title_sort	identification of critical prognosis signature associated with lymph node metastasis of stomach adenocarcinomas
callnumber	RD1-811
title_auth	Identification of critical prognosis signature associated with lymph node metastasis of stomach adenocarcinomas
abstract	Abstract Lymph node metastasis (LNM) is an important factor affecting the prognosis of patients with gastric adenocarcinoma (STAD), which is the most common malignancy of the human digestive system. Current detection techniques have limited sensitivity and specificity, and there is a lack of effective biomarkers to screen for LNM. Therefore, it is critical to screen for biomarkers that predict LNM in STAD. Gene expression differential analysis (false discovery rate < 0.05, \|log2Fold change\| ≥1.5) was performed on 102 LNM samples, 224 non-LNM samples, and 29 normal gastric tissue samples from The Cancer Genome Atlas (TCGA) STAD dataset, and 269 LNM-specific genes (DEGs) were obtained. Enrichment analysis showed that LNM-specific genes functioned mainly in cytokine-cytokine receptor interactions, calcium signaling, and other pathways. Ten DEGs significantly associated with overall survival in STAD patients were screened by multivariate Cox regression, and an LNM-based 10-mRNA prognostic signature was established (Logrank P < 0.0001). This 10-mRNA signature was well predicted in both the TCGA training set and the Gene Expression Omnibus validation dataset (GSE84437) and was associated with survival in patients with LNM or advanced-stage STAD. Using Kaplan-Meier survival, receiver operating characteristic curve, C-index analysis, and decision curve analysis, the 10-mRNA signature was found to be a more effective predictor of prognosis in STAD patients than the other two reported models (P < 0.0005). Protein-protein interaction network and gene set enrichment analysis of the 10-mRNA signature revealed that the signature may affect the expression of multiple biological pathways and related genes. Finally, the expression levels of prognostic genes in STAD tissues and cell lines were verified using qRT-PCR, Western blot, and the Human Protein Atlas database. Taken together, the prognostic signature constructed in this study may become an indicator for clinical prognostic assessment of LNM-STAD and provide a new strategy for future targeted therapy.
abstractGer	Abstract Lymph node metastasis (LNM) is an important factor affecting the prognosis of patients with gastric adenocarcinoma (STAD), which is the most common malignancy of the human digestive system. Current detection techniques have limited sensitivity and specificity, and there is a lack of effective biomarkers to screen for LNM. Therefore, it is critical to screen for biomarkers that predict LNM in STAD. Gene expression differential analysis (false discovery rate < 0.05, \|log2Fold change\| ≥1.5) was performed on 102 LNM samples, 224 non-LNM samples, and 29 normal gastric tissue samples from The Cancer Genome Atlas (TCGA) STAD dataset, and 269 LNM-specific genes (DEGs) were obtained. Enrichment analysis showed that LNM-specific genes functioned mainly in cytokine-cytokine receptor interactions, calcium signaling, and other pathways. Ten DEGs significantly associated with overall survival in STAD patients were screened by multivariate Cox regression, and an LNM-based 10-mRNA prognostic signature was established (Logrank P < 0.0001). This 10-mRNA signature was well predicted in both the TCGA training set and the Gene Expression Omnibus validation dataset (GSE84437) and was associated with survival in patients with LNM or advanced-stage STAD. Using Kaplan-Meier survival, receiver operating characteristic curve, C-index analysis, and decision curve analysis, the 10-mRNA signature was found to be a more effective predictor of prognosis in STAD patients than the other two reported models (P < 0.0005). Protein-protein interaction network and gene set enrichment analysis of the 10-mRNA signature revealed that the signature may affect the expression of multiple biological pathways and related genes. Finally, the expression levels of prognostic genes in STAD tissues and cell lines were verified using qRT-PCR, Western blot, and the Human Protein Atlas database. Taken together, the prognostic signature constructed in this study may become an indicator for clinical prognostic assessment of LNM-STAD and provide a new strategy for future targeted therapy.
abstract_unstemmed	Abstract Lymph node metastasis (LNM) is an important factor affecting the prognosis of patients with gastric adenocarcinoma (STAD), which is the most common malignancy of the human digestive system. Current detection techniques have limited sensitivity and specificity, and there is a lack of effective biomarkers to screen for LNM. Therefore, it is critical to screen for biomarkers that predict LNM in STAD. Gene expression differential analysis (false discovery rate < 0.05, \|log2Fold change\| ≥1.5) was performed on 102 LNM samples, 224 non-LNM samples, and 29 normal gastric tissue samples from The Cancer Genome Atlas (TCGA) STAD dataset, and 269 LNM-specific genes (DEGs) were obtained. Enrichment analysis showed that LNM-specific genes functioned mainly in cytokine-cytokine receptor interactions, calcium signaling, and other pathways. Ten DEGs significantly associated with overall survival in STAD patients were screened by multivariate Cox regression, and an LNM-based 10-mRNA prognostic signature was established (Logrank P < 0.0001). This 10-mRNA signature was well predicted in both the TCGA training set and the Gene Expression Omnibus validation dataset (GSE84437) and was associated with survival in patients with LNM or advanced-stage STAD. Using Kaplan-Meier survival, receiver operating characteristic curve, C-index analysis, and decision curve analysis, the 10-mRNA signature was found to be a more effective predictor of prognosis in STAD patients than the other two reported models (P < 0.0005). Protein-protein interaction network and gene set enrichment analysis of the 10-mRNA signature revealed that the signature may affect the expression of multiple biological pathways and related genes. Finally, the expression levels of prognostic genes in STAD tissues and cell lines were verified using qRT-PCR, Western blot, and the Human Protein Atlas database. Taken together, the prognostic signature constructed in this study may become an indicator for clinical prognostic assessment of LNM-STAD and provide a new strategy for future targeted therapy.
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title_short	Identification of critical prognosis signature associated with lymph node metastasis of stomach adenocarcinomas
url	https://doi.org/10.1186/s12957-023-02940-y https://doaj.org/article/98b289d8ef9c4c7d8627957691981dfe https://doaj.org/toc/1477-7819
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author2	Wei Zhang Yulin Guo Yifei Zhang Xiaofeng Bai Yibin Xie
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up_date	2024-07-03T13:38:27.998Z
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Identification of critical prognosis signature associated with lymph node metastasis of stomach adenocarcinomas

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