1.Predictive factors for the clinical effect of PD-1/PD-L1 checkpoint inhibitors in treatment of hepatocellular carcinoma
Fushuang HA ; Tao HAN ; Fei TANG ; Junqing YAN ; Haoyu WANG
Journal of Clinical Hepatology 2020;36(6):1389-1392
At present, there is still a lack of uniform treatment strategies for hepatocellular carcinoma (HCC). Immunotherapy, especially PD-1/PD-L1 checkpoint inhibitors, is a novel therapy for HCC and can bring survival benefits to patients with advanced HCC. However, research data show that only a small number of HCC patients can benefit from this treatment regimen. To date, few biomarkers have been reported to predict the clinical effect of PD-1/PD-L1 checkpoint inhibitors in HCC patients. This article reviews the biomarkers studied for HCC and other tumors and explores the possible predictive factors for the clinical effect of PD-1/PD-L1 checkpoint inhibitors in HCC, in order to optimize the selection of treatment population and improve the clinical effect of PD-1/PD-L1 checkpoint inhibitors in the treatment of HCC.
2.Expression and significance of serum soluble T cell immunoglobulin-domain and mucin-domain protein-3 and galectin-9 in patients with early acute pancreatitis
Fushuang WANG ; Yao MENG ; Yuan LIN ; Rongnan LI ; Min LIN
Chinese Journal of Digestion 2022;42(6):383-388
Objective:To investigate the expression and significance of serum soluble T cell immunoglobulin-domain and mucin-domain protein-3 (sTIM-3) and galectin-9 (Gal-9) in patients with early acute pancreatitis (AP), so as to provide theoretical and clinical evidence for the early prediction and diagnosis of AP.Methods:From 15 September 2020 to 23 July 2021, a total of 94 AP patients with a time from onset to admission ≤48 h who were admitted to Changzhou No.2 People′s Hospital, Nanjing Medical University were selected, including 42 cases of mild acute pancreatitis (MAP), 35 cases of moderately severe acute pancreatitis (MSAP) and 17 cases of severe acute pancreatitis (SAP). The basic clinical features of AP patients were collected. Acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ), modified computed tomography severity index (MCTSI) and bedside index for severity in acute pancreatitis (BISAP) scores were evaluated in all AP patients. The levels of serum interleukin (IL)-6, IL-10, Gal-9 and sTIM-3 were detected with enzyme linked immunosorbent assay. Kruskal-Wallis test and Mann-Whitney U test were used for statistical analysis. Spearman rank correlation test and Pearson correlation analysis were used to analyze the correlation of sTIM-3, Gal-9 with inflammatory indicators and AP related scoring systems. Receiver operating characteristic curve (ROC) was performed for efficiency analysis of the combination of sTIM-3 and Gal-9 in predicting the severity of AP patients. Results:Serum sTIM-3, Gal-9 and IL-6 levels of SAP patients were higher than those of MAP patients (2 085.00 ng/L (1 628.00 ng/L, 2 673.00 ng/L) vs. 746.10 ng/L (514.50 ng/L, 1 303.00 ng/L); 466.60 ng/L (375.90 ng/L, 629.30 ng/L) vs. 108.10 ng/L (90.29 ng/L, 138.90 ng/L); (323.60±62.93) ng/L vs. (42.90±28.82) ng/L), while IL-10 level was lower than that of MAP patients ((760.30±200.40) ng/L vs. (1 206.00±566.30) ng/L), and the differences were statistically significant ( Z=45.00 and <0.01, t=23.62 and 3.15; all P<0.01). The APACHE Ⅱ and BISAP scores of SAP patients were higher than those of MAP and MSAP patients (12.00(6.00, 16.50) vs. 3.00(2.00, 5.00) and 6.00(3.00, 8.00); 3.00(3.00, 4.00) vs.1.00(1.00, 1.00) and 2.00(2.00, 3.00)), and the MCTSI score was higher than that of MAP patients (4.00(3.00, 6.00) vs. 2.00(0.00, 2.00)), and the differences were statistically significant ( Z=644.50, 704.00, 474.50, 492.50 and 664.00, all P<0.001). Serum sTIM-3 and Gal-9 were positively correlated with the pro-inflammatory factor IL-6 ( r=0.552 and 0.297, P<0.001 and =0.004). Serum sTIM-3 was negatively correlated with the anti-inflammatory factor IL-10 ( r=-0.397, P<0.001). There was no correlation between Gal-9 and the anti-inflammatory factor IL-10 ( P>0.05). Serum sTIM-3 and Gal-9 were positively correlated with APACHE Ⅱ, MCTSI and BISAP scores ( r=0.210, 0.271 and 0.363, P=0.042, =0.008 and <0.001; r=0.390, 0.448 and 0.440, all P<0.001). The areas under ROC curves (95% confidence interval) of serum sTIM-3 and Gal-9 detected alone and in combination was 0.805 (0.716 to 0.895), 0.814 (0.725 to 0.903) and 0.856 (0.773 to 0.939), respectively, and the sensitivity was 69.2%, 67.3%, 75.0%, respectively, and the specificity was 83.3%, 97.6%, 97.6%, respectively. Conclusions:The serum levels of sTIM-3 and Gal-9 increased in patients with early AP and are correlated with the severity of AP. The combined detection of sTIM-3 and Gal-9 has high sensitivity in predicting early AP, and the two indicators may be the reliable predictors of early AP.
3.Research progress in immune-related liver injury caused by immune checkpoint inhibitors
Fenghui LI ; Tao WANG ; Fushuang HA ; Fei TANG ; Jing LIANG
International Journal of Biomedical Engineering 2023;46(2):169-174
In recent years, immune checkpoint inhibitors (ICIs) have made great progress in the treatment of tumor patients, prolonging their survival. However, the expansion of immunity against tumors with ICIs may also cause an imbalance in immune tolerance, leading to immune-related adverse events (irAEs). Immune-mediated liver injury caused by ICIs (ILICI) is one of the more common types of irAEs. In this review paper, the definition, epidemiology, risk factors, pathogenesis, pathology, clinical manifestations, treatment, recurrence, and re-treatment of ILICI were summarized to provide a basis for clinical diagnosis and treatment.
4.Complete genome sequences of the SARS-CoV: the BJ Group (Isolates BJ01-BJ04).
Shengli BI ; E'de QIN ; Zuyuan XU ; Wei LI ; Jing WANG ; Yongwu HU ; Yong LIU ; Shumin DUAN ; Jianfei HU ; Yujun HAN ; Jing XU ; Yan LI ; Yao YI ; Yongdong ZHOU ; Wei LIN ; Hong XU ; Ruan LI ; Zizhang ZHANG ; Haiyan SUN ; Jingui ZHU ; Man YU ; Baochang FAN ; Qingfa WU ; Wei LIN ; Lin TANG ; Baoan YANG ; Guoqing LI ; Wenming PENG ; Wenjie LI ; Tao JIANG ; Yajun DENG ; Bohua LIU ; Jianping SHI ; Yongqiang DENG ; Wei WEI ; Hong LIU ; Zongzhong TONG ; Feng ZHANG ; Yu ZHANG ; Cui'e WANG ; Yuquan LI ; Jia YE ; Yonghua GAN ; Jia JI ; Xiaoyu LI ; Xiangjun TIAN ; Fushuang LU ; Gang TAN ; Ruifu YANG ; Bin LIU ; Siqi LIU ; Songgang LI ; Jun WANG ; Jian WANG ; Wuchun CAO ; Jun YU ; Xiaoping DONG ; Huanming YANG
Genomics, Proteomics & Bioinformatics 2003;1(3):180-192
Beijing has been one of the epicenters attacked most severely by the SARS-CoV (severe acute respiratory syndrome-associated coronavirus) since the first patient was diagnosed in one of the city's hospitals. We now report complete genome sequences of the BJ Group, including four isolates (Isolates BJ01, BJ02, BJ03, and BJ04) of the SARS-CoV. It is remarkable that all members of the BJ Group share a common haplotype, consisting of seven loci that differentiate the group from other isolates published to date. Among 42 substitutions uniquely identified from the BJ group, 32 are non-synonymous changes at the amino acid level. Rooted phylogenetic trees, proposed on the basis of haplotypes and other sequence variations of SARS-CoV isolates from Canada, USA, Singapore, and China, gave rise to different paradigms but positioned the BJ Group, together with the newly discovered GD01 (GD-Ins29) in the same clade, followed by the H-U Group (from Hong Kong to USA) and the H-T Group (from Hong Kong to Toronto), leaving the SP Group (Singapore) more distant. This result appears to suggest a possible transmission path from Guangdong to Beijing/Hong Kong, then to other countries and regions.
Genome, Viral
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Haplotypes
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Humans
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Mutation
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Open Reading Frames
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Phylogeny
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SARS Virus
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genetics