1.Practice of Applying Big Data for Prevention of Web Registration Traffickers
Chaofeng LI ; Jiaqian MA ; Rong HE ; Huafeng XIAO ; Caisheng HE
Journal of Medical Informatics 2017;38(2):65-68
Based on Sun Yat-Sen University Cancer Hospital’s practice of applying big data for prevention of registration traffickers,the paper analyzes the behavioral characteristics of technology-based registration traffickers'malicious occupation from the aspects of abnormal registration,abnormal withdrawal,abnormal grab and abnormal user binding,makes the corresponding technical plans and countermeasures,so as to limit the malicious registration of registration traffickers using the reservation system and guarantee the medical resources can be distributed to patients fairly and impartially.
2.Interleukin-27:a biomarker for prediction of acute graft-versus-host disease after allogeneic hemato-poietic stem cell transplantation from unrelated donors
Shuangzhu LIU ; Jingjing HAN ; Huanle GONG ; Jiaqian QI ; Hong LIU ; Jia CHEN ; Shoubao MA ; Depei WU
Chinese Journal of Microbiology and Immunology 2018;38(2):98-105
Objective To analyze the predictive value of serum interleukin-27 (IL-27) for acute graft-versus-host disease (aGVHD) after allogeneic hematopoietic stem cell transplantation (allo-HSCT) from unrelated donors. Methods Serum samples were collected from 72 patients after receiving allo-HSCT from unrelated donors during January to December 2012. Serum samples collected from 70 patients received allo-HSCT in 2013 were used for confirmation. All patients received myeloablative conditioning regimen prior to allo-HSCT. Cyclosporin A (CsA)+mycophenolate mofetil (MMF)+short-term methotrexate (MTX) were used for GVHD prophylaxis. Serum IL-27 levels in patients with aGVHD were measured by ELISA. The pre-dictive value of IL-27 index,defined as the ratio of serum IL-27 level at neutrophil engraftment to that before pre-conditioning regimen, for allogeneic HSCT was retrospectively analyzed. Results Serum IL-27 index was significantly decreased in patients with gradeⅡ-ⅣaGVHD(grade 0-Ⅰ : 1.89±0.68 vs gradeⅡ-Ⅳ :1.26±0.49;P<0.000 1). IL-27 index had good value for grade Ⅱ-Ⅳ aGVHD (AUC=0.782,95% CI:0.675-0.889,P<0.001). Patients with a lower serum IL-27 index (<1.33) were more likely to have a higher cumulative incidence of grade Ⅱ-Ⅳ aGVHD than those with a higher serum IL-27 index (P<0.001). Multivariate analysis confirmed that low IL-27 index was the most significant risk factor for gradeⅡ-Ⅳ aGVHD (HR=4.50,95% CI:2.1-9.8,P<0.01). These findings were consistent with the results found in the serum samples collected in 2013. Conclusion Low IL-27 index could be used to predict the incidence of grade Ⅱ-Ⅳ acute GVHD after allo-HSCT from unrelated donors.
3.Genome-wide CRISPR screen identifies synthetic lethality between DOCK1 inhibition and metformin in liver cancer.
Junru FENG ; Hui LU ; Wenhao MA ; Wenjing TIAN ; Zhuan LU ; Hongying YANG ; Yongping CAI ; Pengfei CAI ; Yuchen SUN ; Zilong ZHOU ; Jiaqian FENG ; Jiazhong DENG ; Ying SHU ; Kun QU ; Weidong JIA ; Ping GAO ; Huafeng ZHANG
Protein & Cell 2022;13(11):825-841
Metformin is currently a strong candidate anti-tumor agent in multiple cancers. However, its anti-tumor effectiveness varies among different cancers or subpopulations, potentially due to tumor heterogeneity. It thus remains unclear which hepatocellular carcinoma (HCC) patient subpopulation(s) can benefit from metformin treatment. Here, through a genome-wide CRISPR-Cas9-based knockout screen, we find that DOCK1 levels determine the anti-tumor effects of metformin and that DOCK1 is a synthetic lethal target of metformin in HCC. Mechanistically, metformin promotes DOCK1 phosphorylation, which activates RAC1 to facilitate cell survival, leading to metformin resistance. The DOCK1-selective inhibitor, TBOPP, potentiates anti-tumor activity by metformin in vitro in liver cancer cell lines and patient-derived HCC organoids, and in vivo in xenografted liver cancer cells and immunocompetent mouse liver cancer models. Notably, metformin improves overall survival of HCC patients with low DOCK1 levels but not among patients with high DOCK1 expression. This study shows that metformin effectiveness depends on DOCK1 levels and that combining metformin with DOCK1 inhibition may provide a promising personalized therapeutic strategy for metformin-resistant HCC patients.
Animals
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Antineoplastic Agents/therapeutic use*
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Carcinoma, Hepatocellular/metabolism*
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Cell Line, Tumor
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Clustered Regularly Interspaced Short Palindromic Repeats
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Genome
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Humans
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Liver Neoplasms/metabolism*
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Metformin/therapeutic use*
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Mice
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Phosphorylation
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Synthetic Lethal Mutations
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Transcription Factors/metabolism*
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rac GTP-Binding Proteins/metabolism*