AIM To detect significant clusters of co-expressed genes associated with tumorigenesis that might help to predict stomach adenocarcinoma(SA) prognosis.METHODS The Cancer Genome Atlas database was used to obtain RNA se...AIM To detect significant clusters of co-expressed genes associated with tumorigenesis that might help to predict stomach adenocarcinoma(SA) prognosis.METHODS The Cancer Genome Atlas database was used to obtain RNA sequences as well as complete clinical data of SA and adjacent normal tissues from patients. Weighted gene co-expression network analysis(WGCNA) was used to investigate the meaningful module along with hub genes. Expression of hub genes was analyzed in 362 paraffin-embedded SA biopsy tissues by immunohistochemical staining. Patients were classified into two groups(according to expression of hub genes): Weak expression and over-expression groups. Correlation of biomarkers with clinicopathological factors indicated patient survival.RESULTS Whole genome expression level screening identified 6,231 differentially expressed genes. Twenty-four coexpressed gene modules were identified using WGCNA. Pearson's correlation analysis showed that the tan module was the most relevant to tumor stage(r = 0.24, P = 7 × 10-6). In addition, we detected sorting nexin(SNX)10 as the hub gene of the tan module. SNX10 expression was linked to T category(P = 0.042, χ~2 = 8.708), N category(P = 0.000, χ~2 = 18.778), TNM stage(P = 0.001, χ~2 = 16.744) as well as tumor differentiation(P = 0.000, χ~2 = 251.930). Patients with high SNX10 expression tended to have longer diseasefree survival(DFS; 44.97 mo vs 33.85 mo, P = 0.000) as well as overall survival(OS; 49.95 vs 40.84 mo, P = 0.000) in univariate analysis. Multivariate analysis showed that dismal prognosis could be precisely predicted clinicopathologically using SNX10 [DFS: P = 0.014, hazard ratio(HR) = 0.698, 95% confidence interval(CI): 0.524-0.930, OS: P = 0.017, HR = 0.704, 95%CI: 0.528-0.940].CONCLUSION This study provides a new technique for screening prognostic biomarkers of SA. Weak expression of SNX10 is linked to poor prognosis, and is a suitable prognostic biomarker of SA.展开更多
Stomach adenocarcinoma (STAD) is the fifth most prevalent cancer and the third leading cause of cancer-related death in the world and is more common in Asia than in most Western countries. There is an urgent need to i...Stomach adenocarcinoma (STAD) is the fifth most prevalent cancer and the third leading cause of cancer-related death in the world and is more common in Asia than in most Western countries. There is an urgent need to identify potential novel oncogenes and tumor suppressor genes, and biomarkers for STAD. 6652 differentially expressed genes were identified between STAD and normal samples based on the transcriptome data analysis of the TCGA and GEO databases. 13 key modules were identified in STAD by WGCNA analysis. 293 potential STAD associated genes were identified from intersection by Venn Diagram. The 293 intersected genes were enriched in cell cortex and infection by GO and KEGG analysis. 10 hub genes were identified from PPI and Cytoscape analyses of the intersected genes. KLF4/CGN low and SHH/LIF high expression were associated with short overall survival of Asian STAD patients. Bioinformatics analysis revealed potential novel tumor suppressors (KLF4/CGN), oncogenes (SHH/LIF) and biomarkers for diagnosis, therapy and prognosis of STAD, specifically for Asian patients.展开更多
近年来，我国早产儿的出生率呈逐年上升趋势，由5％上升为8．1％［1］。极低出生体重儿由于贲门括约肌松弛［2］，胃容量小，消化功能弱，易发生呕吐、腹胀，新生儿坏死性小肠结肠炎（N EC ）发病率高。持续胃肠减压是新生儿重症监护室...近年来，我国早产儿的出生率呈逐年上升趋势，由5％上升为8．1％［1］。极低出生体重儿由于贲门括约肌松弛［2］，胃容量小，消化功能弱，易发生呕吐、腹胀，新生儿坏死性小肠结肠炎（N EC ）发病率高。持续胃肠减压是新生儿重症监护室（N IC U ）针对极低出生体重儿采用的一项常用的护理操作技术，减压效果直接影响其病情进展、住院时间、甚至预后。由于极低出生体重儿体表发育不成熟，前额发际模糊不清，采用前额发际到剑突的体表测量不能准确判断胃管置入深度；故本研究采用鼻尖和外耳廓的体表测量标志置入胃管，以探讨适合其胃肠减压时留置胃管的深度，为临床护理提供理论依据。展开更多
文摘AIM To detect significant clusters of co-expressed genes associated with tumorigenesis that might help to predict stomach adenocarcinoma(SA) prognosis.METHODS The Cancer Genome Atlas database was used to obtain RNA sequences as well as complete clinical data of SA and adjacent normal tissues from patients. Weighted gene co-expression network analysis(WGCNA) was used to investigate the meaningful module along with hub genes. Expression of hub genes was analyzed in 362 paraffin-embedded SA biopsy tissues by immunohistochemical staining. Patients were classified into two groups(according to expression of hub genes): Weak expression and over-expression groups. Correlation of biomarkers with clinicopathological factors indicated patient survival.RESULTS Whole genome expression level screening identified 6,231 differentially expressed genes. Twenty-four coexpressed gene modules were identified using WGCNA. Pearson's correlation analysis showed that the tan module was the most relevant to tumor stage(r = 0.24, P = 7 × 10-6). In addition, we detected sorting nexin(SNX)10 as the hub gene of the tan module. SNX10 expression was linked to T category(P = 0.042, χ~2 = 8.708), N category(P = 0.000, χ~2 = 18.778), TNM stage(P = 0.001, χ~2 = 16.744) as well as tumor differentiation(P = 0.000, χ~2 = 251.930). Patients with high SNX10 expression tended to have longer diseasefree survival(DFS; 44.97 mo vs 33.85 mo, P = 0.000) as well as overall survival(OS; 49.95 vs 40.84 mo, P = 0.000) in univariate analysis. Multivariate analysis showed that dismal prognosis could be precisely predicted clinicopathologically using SNX10 [DFS: P = 0.014, hazard ratio(HR) = 0.698, 95% confidence interval(CI): 0.524-0.930, OS: P = 0.017, HR = 0.704, 95%CI: 0.528-0.940].CONCLUSION This study provides a new technique for screening prognostic biomarkers of SA. Weak expression of SNX10 is linked to poor prognosis, and is a suitable prognostic biomarker of SA.
文摘Stomach adenocarcinoma (STAD) is the fifth most prevalent cancer and the third leading cause of cancer-related death in the world and is more common in Asia than in most Western countries. There is an urgent need to identify potential novel oncogenes and tumor suppressor genes, and biomarkers for STAD. 6652 differentially expressed genes were identified between STAD and normal samples based on the transcriptome data analysis of the TCGA and GEO databases. 13 key modules were identified in STAD by WGCNA analysis. 293 potential STAD associated genes were identified from intersection by Venn Diagram. The 293 intersected genes were enriched in cell cortex and infection by GO and KEGG analysis. 10 hub genes were identified from PPI and Cytoscape analyses of the intersected genes. KLF4/CGN low and SHH/LIF high expression were associated with short overall survival of Asian STAD patients. Bioinformatics analysis revealed potential novel tumor suppressors (KLF4/CGN), oncogenes (SHH/LIF) and biomarkers for diagnosis, therapy and prognosis of STAD, specifically for Asian patients.
文摘近年来，我国早产儿的出生率呈逐年上升趋势，由5％上升为8．1％［1］。极低出生体重儿由于贲门括约肌松弛［2］，胃容量小，消化功能弱，易发生呕吐、腹胀，新生儿坏死性小肠结肠炎（N EC ）发病率高。持续胃肠减压是新生儿重症监护室（N IC U ）针对极低出生体重儿采用的一项常用的护理操作技术，减压效果直接影响其病情进展、住院时间、甚至预后。由于极低出生体重儿体表发育不成熟，前额发际模糊不清，采用前额发际到剑突的体表测量不能准确判断胃管置入深度；故本研究采用鼻尖和外耳廓的体表测量标志置入胃管，以探讨适合其胃肠减压时留置胃管的深度，为临床护理提供理论依据。
