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| 1 | The resurgent landscape of xenotransplantation of pig organs in nonhuman primates显示文摘Organ shortage is a major bottleneck in allotransplantation and causes many wait-listed patients to die or become too sick for transplantation.Genetically engineered pigs have been discussed as a potential alternative to allogeneic donor organs.Although xenotransplantation of pig-derived organs in nonhuman primates(NHPs)has shown sequential advances in recent years,there are still underlying problems that need to be completely addressed before clinical applications,including(i)acute humoral xenograft rejection;(ii)acute cellular rejection;(iii)dysregulation of coagulation and inflammation;(iv)physiological incompatibility;and(v)cross-species infection.Moreover,various genetic modifications to the pig donor need to be fully characterized,with the aim of identifying the ideal transgene combination for upcoming clinical trials.In addition,suitable pretransplant screening methods need to be confirmed for optimal donor-recipient matching,ensuring a good outcome from xenotransplantation.Herein,we summarize the understanding of organ xenotransplantation in pigs-to-NHPs and highlight the current status and recent progress in extending the survival time of pig xenografts and recipients.We also discuss practical strategies for overcoming the obstacles to xenotransplantation mentioned above to further advance transplantation of pig organs in the clinic. | Xuan Zhang Quancheng Wang Jingjun Zhao Xiao Li Wei Peng Zhaoxu Yang Zhibin Lin Long Yang Rui Ding Kaishan Tao Kefeng Dou | 2021 | Science China(Life Sciences)2021，64，5： | 10 |
| 2 | Chinese expert consensus on conversion therapy for hepatocellular carcinoma(2021 edition)显示文摘Recent advances in systemic and locoregional treatments for patients with unresectable or advanced hepatocellular carcinoma(HCC)have resulted in improved response rates.This has provided an opportunity for selected patients with initially unresectable HCC to achieve adequate tumor downstaging to undergo surgical resection,a‘conversion therapy’strategy.However,conversion therapy is a new approach to the treatment of HCC and its practice and treatment protocols are still being developed.Review the evidence for conversion therapy in HCC and develop consensus statements to guide clinical practice.Evidence review:Many research centers in China have accumulated significant experience implementing HCC conversion therapy.Preliminary findings and data have shown that conversion therapy represents an important strategy to maximize the survival of selected patients with intermediate stage to advanced HCC;however,there are still many urgent clinical and scientific challenges for this therapeutic strategy and its related fields.In order to summarize and learn from past experience and review current challenges,the Chinese Expert Consensus on Conversion Therapy for Hepatocellular Carcinoma(2021 Edition)was developed based on a review of preliminary experience and clinical data from Chinese and non-Chinese studies in this field and combined with recommendations for clinical practice.Sixteen consensus statements on the implementation of conversion therapy for HCC were developed.The statements generated in this review are based on a review of clinical evidence and real clinical experience and will help guide future progress in conversion therapy for patients with HCC. | Hui-Chuan Sun Jian Zhou Zheng Wang Xiufeng Liu Qing Xie Weidong Jia Ming Zhao Xinyu Bi Gong Li Xueli Bai Yuan Ji Li Xu Xiao-Dong Zhu Dousheng Bai Yajin Chen Yongjun Chen Chaoliu Dai Rongping Guo Wenzhi Guo Chunyi Hao Tao Huang Zhiyong Huang Deyu Li Gang Li Tao Li Xiangcheng Li Guangming Li Xiao Liang Jingfeng Liu Fubao Liu Shichun Lu Zheng Lu Weifu Lv Yilei Mao Guoliang Shao Yinghong Shi Tianqiang Song Guang Tan Yunqiang Tang Kaishan Tao Chidan Wan Guangyi Wang Lu Wang Shunxiang Wang Tianfu Wen Baocai Xing Bangde Xiang Sheng Yan Dinghua Yang Guowen Yin Tao Yin Zhenyu Yin Zhengping Yu Bixiang Zhang Jialin Zhang Shuijun Zhang Ti Zhang Yamin Zhang Yubao Zhang Aibin Zhang Haitao Zhao Ledu Zhou Wu Zhang Zhenyu Zhu Shukui Qin Feng Shen Xiujun Cai Gaojun Teng Jianqiang Cai Minshan Chen Qiang Li Lianxin Liu Weilin Wang Tingbo Liang Jiahong Dong Xiaoping Chen Xuehao Wang Shusen Zheng Jia Fan 无 | 2022 | Hepatobiliary Surgery and Nutrition2022，11，2： | 4 |
| 3 | Overexpression of Bmi-1 contributes to the invasion and metastasis ofhepatocellular carcinoma by increasing the expression of matrix metalloproteinase(MMP)?2, MMP-9 and vascular endothelial growth factor via the PTEN/PI3K/Akt pathway显示文摘 | Xiaolei Li Zhaoxu Yang Wenjie Song Liang Zhou Qingjun Li Kaishan Tao Jingshi Zhou Xing Wang Zhigang Zheng Nan You Kefeng Dou Haimin Li | 2013 | International Journal of Oncology2013，，3： | 1 |
| 4 | Erratum: Tg737 inhibition results in malignant transformation in fetal liver stem/progenitor cells by promoting cell‐cycle progression and differentiation arrest显示文摘 | Nan You Weihui Liu Xiao Zhong Ru Ji Ming Zhang Houcheng You Kefeng Dou Kaishan Tao | 2011 | Mol Carcinog2011，，10： | 1 |
| 5 | Expert consensus on organizing the multidisciplinary team(MDT) diagnosis and treatment of hepato-pancreato-biliary diseases in China显示文摘Multidisciplinary team(MDT) discussion has been well established in some European countries and widely carried out in various clinical professional fields(Festen et al.,2021;Fleissig et al.,2006).Many studies have reported the benefits of MDT,including improving survival and quality of cancer care(Munro et al.,2015;Nixon et al.,2021;Tsai et al.,2020). | Binhao Zhang Jian Zhou Weifen Xie Kaishan Tao Shichun Lu Xianglin Yuan Lianxin Liu Weilin Wang Yilei Mao Ping Bie Jingfeng Liu Xinyu Bi Zhiwei Zhang Changhong Liang Jianqiang Cai Zhixiang Jian Yi Lv Peng Zhu Wei Zhang Hongqiang Yang Weiping Zhou Bixiang Zhang Xiaoping Chen | 2022 | Science China(Life Sciences)2022，65，5： | 0 |
| 6 | Remote estimates of suspended particulate matter in global lakes using machine learning models显示文摘Suspended particulate matter(SPM)in lakes exerts strong impact on light propagation,aquatic ecosystem productivity,which co-varies with nutrients,heavy metal and micro-pollutant in waters.In lakes,SPM exerts strong absorption and backscattering,ultimately affects water leaving signals that can be detected by satellite sensors.Simple regression models based on specific band or hand ratios have been widely used for SPM estimate in the past with moderate accuracy.There are still rooms for model accuracy improvements,and machine learning models may solve the non-linear relationships between spectral variable and SPM in waters.We assembled more than 16,400 in situ measured SPM in lakes from six continents(excluding the Antarctica continent),of which 9640 samples were matched with Landsat overpasses within±7 days.Seven machine learning algorithms and two simple regression methods(linear and partial least squares models)were used to estimate SPM in lakes and the performance were compared.To overcome the problem of imbalance datasets in regression,a Synthetic Minority Over-Sampling technique for regression with Gaussian Noise(SMOGN)was adopted in this study.Through comparison,we found that gradient boosting decision tree(GBDT),random forest(RF),and extreme gradient boosting(XGBoost)models demonstrated good spatiotemporal transferability with SMOGN processed dataset,and has potential to map SPM at different year with good quality of Landsat land surface reflectance images.In all the tested modeling approaches,the GBDT model has accurate calibration(n=6428,R^(2)=0.95,MAPE=29.8%)from SPM collected in 2235 lakes across the world,and the validation(n=3214,R^(2)=0.84,MAPE=38.8%)also exhibited stable performance.Further,the good performances were also exhibited by RF model with calibration(R^(2)=0.93)and validation(R^(2)=0.86,MAPE=24.2%)datasets.We applied GBDT and RF models to map SPM of typical lakes,and satisfactory result was obtained.In addition,the GBDT model was evaluated by historical SPM measurements coincident with different Landsat sensors(L5-TM,L7-ETM+,and L8-OLI),thus the model has the potential to map SPM of lakes for monitoring temporal variations,and tracks lake water SPM dynamics in approximately the past four decades(1984-2021)since Landsat-5/TM was launched in 1984. | Zhidan Wen Qiang Wang Yue Ma Pierre Andre Jacinthe Ge Liu Sijia Li Yingxin Shang Hui Tao Chong Fang Lili Lyu Baohua Zhang Kaishan Song | 2024 | International Soil and Water Conservation Research2024，12，1： | 0 |
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