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234 results on '"Shao, Chun-Kui"'

10. A gene-expression-based signature predicts survival in adults with T-cell lymphoblastic lymphoma: a multicenter study

Author

Tian, Xiao-Peng, Xie, Dan, Huang, Wei-Juan, Ma, Shu-Yun, Wang, Liang, Liu, Yan-Hui, Zhang, Xi, Huang, Hui-Qiang, Lin, Tong-Yu, Rao, Hui-Lan, Li, Mei, Liu, Fang, Zhang, Fen, Zhong, Li-Ye, Liang, Li, Lan, Xiao-Liang, Li, Juan, Liao, Bing, Li, Zhi-Hua, Tang, Qiong-Lan, Liang, Qiong, Shao, Chun-Kui, Zhai, Qiong-Li, Cheng, Run-Fen, Sun, Qi, Ru, Kun, Gu, Xia, Lin, Xi-Na, Yi, Kun, Shuang, Yue-Rong, Chen, Xiao-Dong, Dong, Wei, Sang, Wei, Sun, Cai, Liu, Hui, Zhu, Zhi-Gang, Rao, Jun, Guo, Qiao-Nan, Zhou, Ying, Meng, Xiang-Ling, Zhu, Yong, Hu, Chang-Lu, Jiang, Yi-Rong, Zhang, Ying, Gao, Hong-Yi, He, Wen-Jun, Xia, Zhong-Jun, Pan, Xue-Yi, Lan, Hai, Li, Guo-Wei, Liu, Lu, Bao, Hui-Zheng, Song, Li-Yan, Kang, Tie-Bang, and Cai, Qing-Qing

Published
2020
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14. Prognostic and predictive value of a microRNA signature in adults with T-cell lymphoblastic lymphoma

Author

Tian, Xiao-Peng, Huang, Wei-Juan, Huang, Hui-Qiang, Liu, Yan-Hui, Wang, Liang, Zhang, Xi, Lin, Tong-Yu, Rao, Hui-Lan, Li, Mei, Liu, Fang, Zhang, Fen, Zhong, Li-Ye, Liang, Li, Lan, Xiao-Liang, Li, Juan, Liao, Bing, Li, Zhi-Hua, Tang, Qiong-Lan, Liang, Qiong, Shao, Chun-Kui, Zhai, Qiong-Li, Cheng, Run-Fen, Sun, Qi, Ru, Kun, Gu, Xia, Lin, Xi-Na, Yi, Kun, Shuang, Yue-Rong, Chen, Xiao-Dong, Dong, Wei, Sang, Wei, Sun, Cai, Liu, Hui, Zhu, Zhi-Gang, Rao, Jun, Guo, Qiao-Nan, Zhou, Ying, Meng, Xiang-Ling, Zhu, Yong, Hu, Chang-Lu, Jiang, Yi-Rong, Zhang, Ying, Gao, Hong-Yi, He, Wen-Jun, Xia, Zhong-Jun, Wu, Cheng-Lei, Zhang, Mei-Yin, Wang, Hui-Yun, Xie, Dan, and Cai, Qing-Qing

Published
2019
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18. Spleen mediates a distinct hematopoietic progenitor response supporting tumor-promoting myelopoiesis

Author

Wu, Chong, Ning, Huiheng, Liu, Mingyu, Lin, Jie, Luo, Shufeng, Zhu, Wenjie, Xu, Jing, Wu, Wen-Chao, Liang, Jing, Shao, Chun-Kui, Ren, Jiaqi, Wei, Bin, Cui, Jun, Chen, Min-Shan, and Zheng, Limin

Subjects
Hematopoiesis -- Research, Macrophages -- Research, Cerebrospinal fluid -- Health aspects, Cancer -- Development and progression -- Care and treatment -- Research, Hematopoietic stem cell transplantation -- Usage, Health care industry
Abstract

Cancer progression is associated with alterations of intra- and extramedullary hematopoiesis to support a systemic tumor-promoting myeloid response. However, the functional specialty, mechanism, and clinical relevance of extramedullary hematopoiesis (EMH) remain unclear. Here, we showed that the heightened splenic myelopoiesis in tumor-bearing hosts was not only characterized by the accumulation of myeloid precursors, but also associated with profound functional alterations of splenic early hematopoietic stem/progenitor cells (HSPCs). With the distinct capability to produce and respond to granulocyte-macrophage CSF (GM-CSF), these splenic HSPCs were 'primed' and committed to generating immunosuppressive myeloid cells. Mechanistically, the CCL2/CCR2 axis-dependent recruitment and the subsequent local education by the splenic stroma were critical for eliciting this splenic HSPC response. Selective abrogation of this splenic EMH was sufficient to synergistically enhance the therapeutic efficacy of immune checkpoint blockade. Clinically, patients with different types of solid tumors exhibited increased splenic HSPC levels associated with poor survival. These findings reveal a unique and important role of splenic hematopoiesis in tumor-associated myelopoiesis., Introduction Cancer is associated with a profound myeloid response resulting in the expansion of tumor-associated myeloid cells, including myeloid-derived suppressor cells (MDSCs), neutrophils, and macrophages, to promote disease progression (1-3). [...]

Published
2018
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19. Supplementary Figure S19 from A CpG Methylation Classifier to Predict Relapse in Adults with T-Cell Lymphoblastic Lymphoma

Author

Tian, Xiao-Peng, primary, Su, Ning, primary, Wang, Liang, primary, Huang, Wei-Juan, primary, Liu, Yan-Hui, primary, Zhang, Xi, primary, Huang, Hui-Qiang, primary, Lin, Tong-Yu, primary, Ma, Shu-Yun, primary, Rao, Hui-Lan, primary, Li, Mei, primary, Liu, Fang, primary, Zhang, Fen, primary, Zhong, Li-Ye, primary, Liang, Li, primary, Lan, Xiao-Liang, primary, Li, Juan, primary, Liao, Bing, primary, Li, Zhi-Hua, primary, Tang, Qiong-Lan, primary, Liang, Qiong, primary, Shao, Chun-Kui, primary, Zhai, Qiong-Li, primary, Cheng, Run-Fen, primary, Sun, Qi, primary, Ru, Kun, primary, Gu, Xia, primary, Lin, Xi-Na, primary, Yi, Kun, primary, Shuang, Yue-Rong, primary, Chen, Xiao-Dong, primary, Dong, Wei, primary, Sun, Cai, primary, Sang, Wei, primary, Liu, Hui, primary, Zhu, Zhi-Gang, primary, Rao, Jun, primary, Guo, Qiao-Nan, primary, Zhou, Ying, primary, Meng, Xiang-Ling, primary, Zhu, Yong, primary, Hu, Chang-Lu, primary, Jiang, Yi-Rong, primary, Zhang, Ying, primary, Gao, Hong-Yi, primary, He, Wen-Jun, primary, Xia, Zhong-Jun, primary, Pan, Xue-Yi, primary, Hai, Lan, primary, Li, Guo-Wei, primary, Song, Li-Yan, primary, Kang, Tie-Bang, primary, Xie, Dan, primary, and Cai, Qing-Qing, primary

Published
2023
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20. Supplementary Table S3 from A CpG Methylation Classifier to Predict Relapse in Adults with T-Cell Lymphoblastic Lymphoma

Author

Tian, Xiao-Peng, primary, Su, Ning, primary, Wang, Liang, primary, Huang, Wei-Juan, primary, Liu, Yan-Hui, primary, Zhang, Xi, primary, Huang, Hui-Qiang, primary, Lin, Tong-Yu, primary, Ma, Shu-Yun, primary, Rao, Hui-Lan, primary, Li, Mei, primary, Liu, Fang, primary, Zhang, Fen, primary, Zhong, Li-Ye, primary, Liang, Li, primary, Lan, Xiao-Liang, primary, Li, Juan, primary, Liao, Bing, primary, Li, Zhi-Hua, primary, Tang, Qiong-Lan, primary, Liang, Qiong, primary, Shao, Chun-Kui, primary, Zhai, Qiong-Li, primary, Cheng, Run-Fen, primary, Sun, Qi, primary, Ru, Kun, primary, Gu, Xia, primary, Lin, Xi-Na, primary, Yi, Kun, primary, Shuang, Yue-Rong, primary, Chen, Xiao-Dong, primary, Dong, Wei, primary, Sun, Cai, primary, Sang, Wei, primary, Liu, Hui, primary, Zhu, Zhi-Gang, primary, Rao, Jun, primary, Guo, Qiao-Nan, primary, Zhou, Ying, primary, Meng, Xiang-Ling, primary, Zhu, Yong, primary, Hu, Chang-Lu, primary, Jiang, Yi-Rong, primary, Zhang, Ying, primary, Gao, Hong-Yi, primary, He, Wen-Jun, primary, Xia, Zhong-Jun, primary, Pan, Xue-Yi, primary, Hai, Lan, primary, Li, Guo-Wei, primary, Song, Li-Yan, primary, Kang, Tie-Bang, primary, Xie, Dan, primary, and Cai, Qing-Qing, primary

Published
2023
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22. CD45− erythroid progenitor cells promote lymph node metastasis in gastric cancer by inducing a hybrid epithelial/mesenchymal state in lymphatic endothelial cells.

Author

Wen, Jing-Yun, Li, Xing, Chen, Jian-Ning, Chen, Jie, Zhang, Jing-Yue, Du, Yu, Zhu, Wei-Hang, Chen, Yong-Jian, Yang, Ri-Hong, and Shao, Chun-Kui

Subjects
LYMPHATIC metastasis, PROGENITOR cells, ENDOTHELIAL cells, STOMACH cancer, METASTASIS, B cells
Abstract

Background and aims: Specific mechanisms of lymph node (LN) metastasis in early-stage gastric cancer (GC) have not been elucidated. The role of anemia, a vital clinical feature of GC, in LN metastasis is also unclear. Since the number of erythroid progenitor cells (EPCs) is increased in chronic anemia, we investigated its association with LN metastasis in GC. Methods: Flow cytometry and immunofluorescence analyses were performed to sort and study EPCs from the circulation and tumors of patients with stage I–III GC. The effect of these EPCs on the activation of T and B cells and on the functions of lymphatic endothelial cells (LECs) was determined, and their ability to promote LN metastasis was evaluated using a footpad‐popliteal LN metastasis model based on two human adenocarcinoma GC cell lines in nude mice. The prognostic value of EPCs was also analyzed. Results: The proportion of CD45− EPCs was higher in the mononuclear cells in the circulation, tumors, and LNs of GC patients with LN metastasis (N+) than in those of GC patients without LN metastasis (N0). In N+ patients, CD45− EPCs were more abundant in metastatic LNs than in non-metastatic LNs. Lymphatic vessel endothelial hyaluronan receptor 1 immunoreactivity in tumors revealed that CD45− EPCs were positively associated with nodal stages and lymph vessel density. Furthermore, CD45− EPCs increased LEC proliferation and migration through their S100A8/A9 heterodimer-induced hybrid epithelial/mesenchymal (E/M) state; however, they did not influence the invasion and tubulogenesis of LECs or T and B cell proliferation. CD45− EPCs promoted LN metastasis in vivo; the S100A8/A9 heterodimer mimicked this phenomenon. Finally, CD45− EPCs predicted the overall and disease-free survival of stage I–III GC patients after radical resection. Conclusions: The CD45− EPCs accumulated in GC tissues and metastatic LNs and promoted LN metastasis via the S100A8/9-induced hybrid E/M state of LECs, which was the specific mechanism of LN metastasis in the early stages of GC. [ABSTRACT FROM AUTHOR]

Published
2023
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23. Corrigendum to “ebv-circRPMS1 promotes the progression of EBV-associated gastric carcinoma via Sam68-dependent activation of METTL3 [Cancer Letters 535 (2022) 215646]’’

Author

Zhang, Jing-yue, primary, Du, Yu, additional, Gong, Li-ping, additional, Shao, Yi-ting, additional, Pan, Li-jie, additional, Feng, Zhi-ying, additional, Pan, Yu-hang, additional, Huang, Jun-ting, additional, Wen, Jing-yun, additional, Sun, Li-ping, additional, Chen, Gao-feng, additional, Chen, Jian-ning, additional, and Shao, Chun-kui, additional

Published
2022
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24. Retraction: Inflammatory Molecule, PSGL-1, Deficiency Activates Macrophages to Promote Colorectal Cancer Growth through NFκB Signaling

Author

Li, Jiangchao, primary, Zhou, Zeqi, additional, Zhang, Xiaohan, additional, Zheng, Li, additional, He, Dan, additional, Ye, Yuxiang, additional, Zhang, Qian-Qian, additional, Qi, Cui-Ling, additional, He, Xiao-Dong, additional, Yu, Chen, additional, Shao, Chun-kui, additional, Qiao, Liang, additional, and Wang, Lijing, additional

Published
2022
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25. ebv-circRPMS1 promotes the progression of EBV-associated gastric carcinoma via Sam68-dependent activation of METTL3

Author

Zhang, Jing-yue, primary, Du, Yu, additional, Gong, Li-ping, additional, Shao, Yi-ting, additional, Pan, Li-jie, additional, Feng, Zhi-ying, additional, Pan, Yu-hang, additional, Huang, Jun-ting, additional, Wen, Jing-yun, additional, Sun, Li-ping, additional, Chen, Gao-feng, additional, Chen, Jian-ning, additional, and Shao, Chun-kui, additional

Published
2022
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30. Hypoxia-induced ebv-circLMP2A promotes angiogenesis in EBV-associated gastric carcinoma through the KHSRP/VHL/HIF1α/VEGFA pathway

Author

Du, Yu, primary, Zhang, Jing-yue, additional, Gong, Li-ping, additional, Feng, Zhi-ying, additional, Wang, Deyu, additional, Pan, Yu-hang, additional, Sun, Li-ping, additional, Wen, Jing-yun, additional, Chen, Gao-feng, additional, Liang, Jing, additional, Chen, Jian-ning, additional, and Shao, Chun-kui, additional

Published
2022
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33. ebv-circRPMS1 Promotes the Progression of EBV-Associated Gastric Carcinoma via Sam68 Complex Dependent Activation of METTL3

Author

Zhang, Jing-yue, primary, Du, Yu, additional, Gong, Li-ping, additional, Shao, Yi-ting, additional, Pan, Li-jie, additional, Feng, Zhi-ying, additional, Pan, Yu-hang, additional, Huang, Jun-ting, additional, Wen, Jing-yun, additional, Sun, Li-ping, additional, Chen, Gao-feng, additional, Chen, Jian-ning, additional, and Shao, Chun-Kui, additional

Published
2021
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35. Comparative Transcriptome Provides a Systematic Perspective on Epstein–Barr Virus-Associated Gastric Carcinoma Cell Lines

Author

Huang,Jun-Ting, Chen,Jian-Ning, Bi,Yuan-Hua, Gong,Li-Ping, Zhang,Jing-Yue, Du,Yu, Shao,Chun-Kui, Huang,Jun-Ting, Chen,Jian-Ning, Bi,Yuan-Hua, Gong,Li-Ping, Zhang,Jing-Yue, Du,Yu, and Shao,Chun-Kui

Abstract

Jun-Ting Huang,1,2 Jian-Ning Chen,1 Yuan-Hua Bi,1 Li-Ping Gong,1 Jing-Yue Zhang,1 Yu DU,1 Chun-Kui Shao1 1Department of Pathology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, People’s Republic of China; 2Department of Emergency, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, People’s Republic of ChinaCorrespondence: Chun-Kui ShaoDepartment of Pathology, The Third Affiliated Hospital, Sun Yat-sen University, No. 500 Tian He Road, Guangzhou, 510000, People’s Republic of ChinaEmail shaochk@mail.sysu.edu.cnPurpose: Epstein–Barr virus (EBV) is widely recognised to cause various tumours, and EBV-associated gastric carcinoma (EBVaGC) is a special type of GC. It has obviously different clinical features and pathological manifestations from EBV-negative gastric carcinoma, but its progression remains elusive. The underlying cancer progression of viral infection detected by genome-wide transcriptome analysis has been demonstrated in numerous diseases.Methods: We performed comparative RNA sequencing to identify gene expression signatures between GC and EBVaGC cell lines. The differentially expressed (DE) genes were analysed using gene ontology and pathway enrichment.Results: A total of 4438 DE mRNAs, 3650 DE long non-coding RNAs (lncRNAs), and 248 DE circular RNAs (circRNAs) were detected in GC cells after EBV infection, most of which were highly related to oncogenesis. Likewise, EBV-coding RNA and non-coding RNA were also well-supplemented in EBVaGC. According to bioinformatics, DE mRNAs may contribute to the completion of EBV-infected host cells and modulate mitosis. Binding to actin and participating in adherens junctions to promote contact between the virus and cells are a potential function of DE lncRNAs. The roles of DE circRNAs were enriched in DNA repair and protein modification, and a typical example of this is acting as an miRNA sponge. The establishment of a circRNA-miRNA-mRNA network helps to determine the key e

Published
2021

38. Prognostic power of abnormal cytogenetics for multiple myeloma: a multicenter study in China

Author

LAI, Yue-yun, HUANG, Xiao-jun, CAI, Zhen, CAO, Xiang-shan, CHEN, Fang-ping, CHEN, Xie-qun, CHEN, Bao-an, FANG, Mei-yun, FENG, Jia-fu, FU, Wei-ling, GUO, Hai-ying, HOU, Ming, HOU, Jian, HU, Yu, HU, Xiao-tong, HU, Xiao-mei, HUANG, Li-qiang, JIN, Jie, LI, Jian-yong, LI, Juan, LI, Wei, LIANG, Ying-min, LIU, Ting, LIU, Qi-fa, LIU, Yan-hui, MAO, Ping, OUYANG, Jian, QIU, Lu-gui, QIU, Lin, SHAO, Chun-kui, SHI, Bin, SONG, Yong-ping, SUN, Zi-min, WANG, Qi-shan, WANG, Chun, WANG, Jian-ming, WANG, Yun-shan, WANG, Zhao, WU, Jian-bo, WU, Yin-xia, XIA, Rui-xiang, XUE, Yong-quan, YANG, Bao-zhen, YANG, Guang, YANG, Zheng-lin, YU, Li, YUAN, Zhong, ZHANG, Sheng, ZHANG, Yin, ZHAO, Hong-guo, ZHAO, Li, ZHOU, Dao-bin, ZOU, Shan-hua, and ZHU, Yun-feng

Published
2012
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39. Preoperative identification of microvascular invasion in hepatocellular carcinoma by XGBoost and deep learning

Author

Jiang, Yi-Quan, primary, Cao, Su-E, additional, Cao, Shilei, additional, Chen, Jian-Ning, additional, Wang, Guo-Ying, additional, Shi, Wen-Qi, additional, Deng, Yi-Nan, additional, Cheng, Na, additional, Ma, Kai, additional, Zeng, Kai-Ning, additional, Yan, Xi-Jing, additional, Yang, Hao-Zhen, additional, Huan, Wen-Jing, additional, Tang, Wei-Min, additional, Zheng, Yefeng, additional, Shao, Chun-Kui, additional, Wang, Jin, additional, Yang, Yang, additional, and Chen, Gui-Hua, additional

Published
2020
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40. Epstein–Barr virus‐derived circular RNA LMP 2A induces stemness in EBV ‐associated gastric cancer

Author

Gong, Li‐ping, primary, Chen, Jian‐ning, additional, Dong, Min, additional, Xiao, Zhen‐dong, additional, Feng, Zhi‐ying, additional, Pan, Yu‐hang, additional, Zhang, Yu, additional, Du, Yu, additional, Zhang, Jing‐yue, additional, Bi, Yuan‐hua, additional, Huang, Jun‐ting, additional, Liang, Jing, additional, and Shao, Chun‐kui, additional

Published
2020
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41. A CpG Methylation Classifier to Predict Relapse in Adults with T-Cell Lymphoblastic Lymphoma

Author

Tian, Xiao-Peng, primary, Su, Ning, additional, Wang, Liang, additional, Huang, Wei-Juan, additional, Liu, Yan-Hui, additional, Zhang, Xi, additional, Huang, Hui-Qiang, additional, Lin, Tong-Yu, additional, Ma, Shu-Yun, additional, Rao, Hui-Lan, additional, Li, Mei, additional, Liu, Fang, additional, Zhang, Fen, additional, Zhong, Li-Ye, additional, Liang, Li, additional, Lan, Xiao-Liang, additional, Li, Juan, additional, Liao, Bing, additional, Li, Zhi-Hua, additional, Tang, Qiong-Lan, additional, Liang, Qiong, additional, Shao, Chun-Kui, additional, Zhai, Qiong-Li, additional, Cheng, Run-Fen, additional, Sun, Qi, additional, Ru, Kun, additional, Gu, Xia, additional, Lin, Xi-Na, additional, Yi, Kun, additional, Shuang, Yue-Rong, additional, Chen, Xiao-Dong, additional, Dong, Wei, additional, Sun, Cai, additional, Sang, Wei, additional, Liu, Hui, additional, Zhu, Zhi-Gang, additional, Rao, Jun, additional, Guo, Qiao-Nan, additional, Zhou, Ying, additional, Meng, Xiang-Ling, additional, Zhu, Yong, additional, Hu, Chang-Lu, additional, Jiang, Yi-Rong, additional, Zhang, Ying, additional, Gao, Hong-Yi, additional, He, Wen-Jun, additional, Xia, Zhong-Jun, additional, Pan, Xue-Yi, additional, Hai, Lan, additional, Li, Guo-Wei, additional, Song, Li-Yan, additional, Kang, Tie-Bang, additional, Xie, Dan, additional, and Cai, Qing-Qing, additional

Published
2020
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45. Identification of virus-encoded circular RNA

Author

Huang, Jun-ting, primary, Chen, Jian-ning, additional, Gong, Li-ping, additional, Bi, Yuan-hua, additional, Liang, Jing, additional, Zhou, Lu, additional, He, Dan, additional, and Shao, Chun-kui, additional

Published
2019
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46. Predictive Value of a CpG Methylation Classifier for Relapse in Adults with T-Cell Lymphoblastic Lymphoma: A Multicentre Study

Author

Tian, Xiao-Peng, primary, Huang, Wei-Juan, additional, Wang, Liang, additional, Su, Ning, additional, Liu, Yan-Hui, additional, Zhang, Xi, additional, Huang, Hui-Qiang, additional, Lin, Tong-Yu, additional, Rao, Hui-Lan, additional, Li, Mei, additional, Liu, Fang, additional, Zhang, Fen, additional, Zhong, Li-Ye, additional, Liang, Li, additional, Lan, Xiao-Liang, additional, Li, Juan, additional, Liao, Bing, additional, Li, Zhi-Hua, additional, Tang, Qiong-Lan, additional, Liang, Qiong, additional, Shao, Chun-Kui, additional, Zhai, Qiong-Li, additional, Cheng, Run-Fen, additional, Sun, Qi, additional, Ruan, Kun, additional, Ru, Kun, additional, Gu, Xia, additional, Lin, Xi-Na, additional, Yi, Kun, additional, Shuang, Yue-Rong, additional, Chen, Xiao-Dong, additional, Dong, Wei, additional, Sang, Wei, additional, Sun, Cai, additional, Liu, Hui, additional, Zhu, Zhi-Gang, additional, Rao, Jun, additional, Guo, Qiao-Nan, additional, Zhou, Ying, additional, Meng, Xiang-Ling, additional, Zhu, Yong, additional, Hu, Chang-Lu, additional, Jiang, Yi-Rong, additional, Zhang, Ying, additional, Gao, Hong-Yi, additional, He, Wen-Jun, additional, Xia, Zhong-Jun, additional, Pan, Xue-Yi, additional, Hai, Lan, additional, Li, Guo-Wei, additional, Song, Li-Yan, additional, Kang, Tie-Bang, additional, Xie, Dan, additional, and Cai, Qing-Qing, additional

Published
2019
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47. Aberrant upregulation of 14-3-3ơ expression serves as an inferior prognostic biomarker for gastric cancer

Author

Li Hai-gang, Feng Zhi-ying, Wu Xing, Xu Jie, Tang Fang, Zhou Wei-hua, Lin Dong-jun, Shao Chun-kui, and Liu Quentin

Subjects
Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Background 14-3-3ơ is an intracellular, phosphoserine binding protein and proposed to be involved in tumorigenesis. However, the expression dynamics of 14-3-3ơ and its clinicopathological/prognostic significance in human tumors are still controversial. Methods The method of immunohistochemistry (IHC) and Western blot were utilized to examine the protein expression of 14-3-3ơ in gastric cancer and paired normal adjacent gastric mucosal tissues. Receive operating characteristic (ROC) curve analysis was employed to determine a cutoff score for 14-3-3ơ expression in a training set (n = 66). For validation, the ROC-derived cutoff score was subjected to analysis of the association of 14-3-3ơ expression with patient outcome and clinical characteristics in a testing set (n = 86) and overall patients (n = 152). Results The expression frequency and expression levels of 14-3-3ơ were significantly higher in gastric cancer than in normal gastric mucosal tissues. Correlation analysis demonstrated that high expression of 14-3-3ơ in gastric cancer was significantly correlated with clinical stage and tumor invasion. Furthermore, in the testing set and overall patients, Kaplan-Meier analysis showed that elevated 14-3-3ơ expression predicted poorer overall survival (OS) and progression-free survival (PFS). Importantly, high 14-3-3ơ expression was also associated with shortened survival time in stage III and stage IV gastric cancer patients. Multivariate analyses revealed that 14-3-3ơ expression was an independent prognostic parameter in gastric cancer. Conclusions These findings provide evidence that high expression of 14-3-3ơ may be important in the tumor progression and servers as an independent molecular marker for poor prognosis of gastric cancer. Thus, overexpression of 14-3-3ơ identifies patients at high risk and is a novel therapeutic molecular target for this tumor.

Published
2011
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50. Inflammatory Molecule, PSGL-1, Deficiency Activates Macrophages to Promote Colorectal Cancer Growth through NFκB Signaling

Author

Li, Jiangchao, primary, Zhou, Zeqi, additional, Zhang, Xiaohan, additional, Zheng, Li, additional, He, Dan, additional, Ye, Yuxiang, additional, Zhang, Qian-Qian, additional, Qi, Cui-Ling, additional, He, Xiao-Dong, additional, Yu, Chen, additional, Shao, Chun-kui, additional, Qiao, Liang, additional, and Wang, Lijing, additional

Published
2017
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