Suchergebnisse

Yinghao Guo,1,2,* Jinqiang Liu,1,3,* Wenming Zhang,1,4,* Shuao Xiao,1 Gaozan Zheng,1 Shushang Liu,1 Man Guo,1 Hongwei Zhang,1 Fan Feng1 1Department of Digestive Surgery, Xijing Hospital of Digestive Diseases, The Fourth Military Medical University, Xi'an 710032, Shaanxi, People's Republic of China; 2Health Company, 92667 Army of PLA, Qingdao 266100, Shandong, People's Republic of China; 3Cadre's Sanitarium, 62101 Army of PLA, Xinyang 464000, Henan, People's Republic of China; 4Department of General Surgery, Linxia People's Hospital, Linxia 731100, Gansu, People's Republic of China*These authors contributed equally to this workCorrespondence: Hongwei Zhang; Fan Feng Email zhanghwfmmu@126.com; surgeonfengfan@163.comPurpose: Data about the prognostic value of fibrinogen concentration and absolute lymphocyte count for the prognosis of gastrointestinal stromal tumors (GISTs) were limited. Thus, the aim of the present study was to investigate the predictive value of preoperative fibrinogen concentration and absolute lymphocyte count in GISTs.Patients and Methods: From March 2002 to December 2017, 143 intermediate and high risk GIST patients treated with R0 resection were enrolled in the present study. Clinicopathological characteristics were recorded. The optimal cut-off values of patients were calculated by X-tile software. Categorical variables were analyzed using Chi-square test or Fisher's exact test. Disease-free survival was analyzed by the Kaplan–Meier method and compared by a Log rank test.Results: There were 71 males (49.65%) and 72 females. The median age was 56 years (range 19– 86). The optimal cut-off value was 4.5 g/L for fibrinogen concentration (P=0.000) and 1.0× 109/L for lymphocyte count (P=0.002). No significant association was found between lymphocyte level and clinicopathological features. However, elevated fibrinogen level was correlated with tumor location, tumor size and NIH risk category. Tumor size, fibrinogen concentration and lymphocyte count were independent risk factors for the prognosis of patients according to the multivariate analysis. The prognosis of patients with high fibrinogen concentration or low lymphocyte count was significantly worse than that with low fibrinogen concentration or high lymphocyte count. Further, combination of fibrinogen concentration and lymphocyte count could increase the prognostic value for GIST patients.Conclusion: Fibrinogen concentration and absolute lymphocyte count were independent prognostic factors for intermediate and high risk GIST patients. The combination of fibrinogen concentration and absolute lymphocyte count could further increase the predictive value for the prognosis of GIST patients.Keywords: gastrointestinal stromal tumors, GIST, mesenchymal tumor, fibrinogen, lymphocyte, prognosis

Wanli Yang,1,* Jiaojiao Ma,1,* Wei Zhou,1,* Zichao Li,2 Xin Zhou,2 Bo Cao,2 Yujie Zhang,1 Jinqiang Liu,1 Zhiping Yang,1 Hongwei Zhang,3 Qingchuan Zhao,3 Liu Hong,1 Daiming Fan1 1State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Air Force Military Medical University, Xi'an, China; 2The First Brigade of Student, Air Force Military Medical University, Xi'an, China; 3Department of Digestive Surgery, Xijing Hospital, Air Force Military Medical University, Xi'an, China *These authors contributed equally to this work Background: Colon cancer is one of the leading malignant neoplasms worldwide. Until now, the concrete mechanisms of colonic cancerogenesis are largely unknown; identification of driven genes and pathways is, therefore, of great importance for monitoring and conquering this disease. This study aims to explore the potential biomarkers and therapeutic targets for colon cancer treatment. Methods: The gene expression profile of GSE44076 from Gene Expression Omnibus database, including 98 primary colon cancers and 98 normal distant colon mucosa, was deeply analyzed. GEO2R tool was used to screen the differentially expressed genes (DEGs) between colon cancer tissues and normal samples. Gene Ontology analysis and Kyoto Encyclopedia of Genes and Genomes pathway analysis were performed for screening DEGs using Database for Annotation, Visualization and Integrated Discovery database and Panther database. Moreover, Search Tool for the Retrieval of Interacting Genes, Cytoscape software, and Molecular Complex Detection plug-in were used to visualize the protein–protein interaction of these DEGs. Results: A total of 497 DEGs were obtained, including 129 upregulated genes mainly enriched in Hippo signaling pathway, Wnt signaling pathway, and cytokine–cytokine receptor interaction and 368 downregulated genes enriched in retinol metabolism, steroid hormone biosynthesis, drug metabolism, and chemical carcinogenesis. Using Molecular Complex Detection software, three important modules were selected from the protein–protein interaction network. Moreover, 20 hub genes with high degree of connectivity were selected, including COL1A1, CXCL5, GNG4, TIMP1, and so on. The Kaplan–Meier analysis for overall survival and correlation analysis were applied among the hub genes. Conclusion: Taken together, DEGs, especially the hub genes such as COL1A1, might be the driven genes in colon cancer progression. More importantly, they might be the novel biomarkers for diagnosis and guiding therapeutic strategies of colon cancer. Keywords: colon cancer, protein–protein interaction, bioinformatics analysis, diagnosis, prognosis