1.Clinical analysis of the cause of local recurrence after Dixon operation for rectal cancer
Hangjun GONG ; Gang LIU ; Yaoyao WU ; Zhixiang XUE
Journal of Medical Postgraduates 2001;14(3):229-231
Objectives:To discuss and analyse the causes of local recurrence after Dixon operation. Methods:Retrospective analysis was made on 72 cases after resection of rectal cancer by Dixon operation in our department from 1995 to 1999. Results:The local recurrence rate after Dixon operation was 12.5%(9 cases),the recurrence time was 3~26 months,and 16.2 months in an average after the operation.Seven cases of recurrence were within 2 years.The recurrence location occurred at the anastomotic stoma (6 cases),pelvic cavity (2 cases) and the perinum (1 cases) respectively.Based on Dukes classification, it showed one case of phase A, three cases of phase B and five cases of phase C.According to pathological classification, there were one case of papillary adenocarcinoma,five cases of rubiformadenocarcinoma and three cases of mucoid adenocarcinoma.A length from the lower margin of the tumors to the distal resection site,seven cases were within 3 cm,and two cases were beyond 3 cm. Conclusions:The causes for local recurrence after operation were related to Duke classification,pathological types,length from the lower margin of the tumors to the distal resection site,lymphadenectomy and operation on the tumor itself.
2.The effects of TPN on postoperative patients with colon or rectum cancer (clinical analysis of 42 cases)
Hangjun GONG ; Zhujian CHEN ; Gang LIU ; Zhixiang XUE ;
Parenteral & Enteral Nutrition 1997;0(01):-
s: Objectives:To study effects of TPN on postoperative patients with colon or rectum cancer,including gut function recovery,wound healing and immune function. Medthods:42 elder patients with colon or rectum cancer were divided into two groups at randomization,TPN group and control group.From POD+1 to POD+8,TPN group was given TNA daily and control group was given solutions of glucose and electrolyte.Gut function recovery and wound healing were observed and albumin,pre albumin,IgG,IgA,IgM,CD3 +,CD4 + and CD8 + were determined on POD+1 and POD+8. Results:The recovery of gut function and wound healing in TPN group were better than those in control group,and levels of pre albumin,IgG,IgA were higher than those in control group. Conclusions:TPN has positive effects in gut function recovery,wound healing and immune function in postoperative patients with colon or rectum cancer.
3.The effects of TPN on postoperative patients with colon or rectum cancer(clinical analysis of 42 cases)
Hangjun GONG ; Gang LIU ; Zhixiang XUE ; Zhujian CHEN
Parenteral & Enteral Nutrition 2001;8(1):13-16
Objectives:To study effects of TPN on postoperative patients with colon or rectum cancer,including gut function recovery,wound healing and immune function. Medthods:42 elder patients with colon or rectum cancer were divided into two groups at randomization,TPN group and control group.From POD+1 to POD+8,TPN group was given TNA daily and control group was given solutions of glucose and electrolyte.Gut function recovery and wound healing were observed and albumin,pre-albumin,IgG,IgA,IgM,CD3+,CD4+ and CD8+ were determined on POD+1 and POD+8. Results:The recovery of gut function and wound healing in TPN group were better than those in control group,and levels of pre-albumin,IgG,IgA were higher than those in control group. Conclusions:TPN has positive effects in gut function recovery,wound healing and immune function in postoperative patients with colon or rectum cancer.
4.Effect of TPN plus Argining on nutrition status and immune function in radical treatment of gastro-intestinal cancer patients
Hangjun GONG ; Tao ZHU ; Yaoyao WU ; Xuefeng TANG ; Caibao LI ; Zhixiang XUE ;
Parenteral & Enteral Nutrition 1997;0(03):-
Objectives: To evaluate the effect of TPN plus argine on nutrition status, immune function and postoperative complications in radical treatment of gastro intestinal cancer patients. Methods: 88 cases undertaking radical treatment were randomized into TPN group (normal group)(30 cases), argine group (plus argine)(30 cases) and control group (28 cases). Since POD+1, the former two groups were given intravenous nutrition support continuously for 7 days and argine 80~100ml/day in argine group.Controlled group was given glucose, amino acid solution and electrolytes first, then transited to normal oral food intake. On AOD-1 and POD+8, albumin, pre albumin, transferrin and immune parameters were analyzed; postoperative complications were observed as well. Results: On POD+8, pre albumin and transferrin were improved in normal and argine group. In argine group, IgG?IgE?CD3?CD4?CD4/CD8?NKC activity and IL 2 concentration were obviously higher than that in other two groups( P
5.The Expression of TNF-α and ICAM-1 in Lesions of Lichen Planus and Its Implication
Xue CHEN ; Zhixiang LIU ; Qing YUE ; Houjun LIU ; Yan WU ; Jiawen LI
Journal of Huazhong University of Science and Technology (Medical Sciences) 2007;27(6):739-741
In order to investigate the role of TNF-α and ICAM-1 in the pathogenesis of lichen planus, immunohistechemistty was used to detect the expression of TNF-α and ICAM-1 in skin le- sions of the patients with lichen planus and skin tissues of normal subjects. The results showed that positive rates of TNF-α and ICAM-1 expressions in lichen planus were significantly higher than those in normal skins (both P<0.05). Meanwhile, there was a obvious correlation between the in- crease of TNF-α and that of ICAM-1 in lichen planus. The expression of TNF-α and ICAM-1 might play an important role in the development of lichen planus.
6.Serum levels of neuroendocrine differentiation markers predict the prognosis of patients with metastatic castration resistant prostate cancer treated with abiraterone acetate
Liancheng FAN ; Baijun DONG ; Chenfei CHI ; Xiaoguang SHAO ; Jiahua PAN ; Yinjie ZHU ; Yanqing WANG ; Wen CAI ; Hongyang QIAN ; Fan XU ; Xun SHANGGUAN ; Zhixiang XIN ; Jianian HU ; Lixin ZHOU ; Yiran HUANG ; Wei XUE
Chinese Journal of Urology 2018;39(5):362-366
Objective To determine the influence of abiraterone acetate (AA) on neuroendocrine differentiation (NED) in metastatic castration-resistant prostate cancer (mCRPC) and the prognostic predicting value of the serum NED markers in mCRPC patients treated with AA.Methods We conducted an analysis in 115 chemotherapy-naive mCRPC patients who were treated with chemotherapy in Renji hospital from 2013 to 2017.The median age was 70,ranged from 65 to 76 years old.The median CgA,NSE and PSA levels were 101.1 ng/ml (78.5-150.0 ng/ml),13.4 ng/ml (10.5-17.6 ng/ml) and 38.8 ng/ml (11.2-123.2 ng/ml),respectively.Among them,48 cases were classified as the group without AA treatment.The other 67 cases were classified as group after AA failure.In group without AA treatment,the median CgA,NSE and PSA levels were 109.1 ng/ml(80-151.5 ng/ml);13.8 ng/ml(10.8-18.2 ng/ml) and 39.2 ng/ml (8.6-200 ng/ml),respectively.In group after AA failure,the median CgA,NSE and PSA levels were 105.4 ng/ml(78.8-175.5 ng/ml),13.8 ng/ml(10.8-17.6 ng/ml) and 39.0 ng/ml(8.4-219.8 ng/ml),respectively.In the group with serial evaluation of NED markers during AA treatment,the median serum CgA,NSE levels at baseline were 115.9 ng/ml(90.1-201.5 ng/ml),13.3 ng/ml (10.4-18.1 ng/ml),respectively.The endpoints were PSA PFS(progression-free survival) and radiographic PFS (rPFS).Results In 34 patients with serial evaluation,serum NED markers level in 19 patients increased after the failure of AA treatment.Median serum CgA and NSE levels were 115.9 ng/ml(90.1-201.5 ng/ml)and 13.25 ng/ml (10.37-18.14 ng/ml) at baseline.Median serum CgA and NSE levels were 129.6ng/ml (75.5-230.5 ng/ml) and 14.7 ng/ml (11.8-19.1 ng/ml) after 6 months treatment,respectively.The median serum CgA and NSE levels were 130.4 ng/ml (95.7-205.7 ng/ml) and 15.2 ng/ml(12.4-18.7 ng/ml) at the time of failure of AA treatment,respectively.There was no significant difference of NED markers between baseline and failure of AA treatment (P =0.243).In logistic univariate analysis,AA treatment and its duration were not independent factors influencing NED(P =0.30;P =0.52).Compared with the NED markers elevation group in the first 6 months of AA treatment and baseline supranormal NED markers group,the NED markers decline group(PSA PFS(17.1 vs.10.4 months,P < 0.001) and rPFS (17.0 vs.10.4 months,P =0.003)) and baseline normal NED markers group(PSA PFS(14.1 vs.9.5 months,P =0.001) and rPFS(16.4 vs.10.5 months,P < 0.001)) has a longer median PSA PFS and rPFS respectively.In multivariate Cox analysis,baseline NED markers level and NED markers variation during the first 6 months of AA treatment remained significant predictors of rPFS(P < 0.05),and PSA-PFS (P < 0.05).Conclusions We found there was heterogeneity in changes of NED markers in different mCRPC patients during AA treatment,and AA might not significantly lead to progression of NED of mCRPC in general.Serial CgA and NSE evaluation might help clinicians guide clinical treatment of mCRPC patients.Serum NED markers elevation during the first 6 months of AA treatment and elevated baseline NED markers levels indicated poor prognosis in mCRPC treated with AA.
7.A multi-centers clinical study of difierent treatment outcomes of 332 patients with multiple myeloma
Kai XUE ; Lugui QIU ; Ting LIU ; Jian HOU ; Xiaojun HUANG ; Jun MA ; Xiequn CHEN ; Li YU ; Jie JIN ; Depei WU ; Yongji WU ; Fanyi MENG ; Jianyong LI ; Wenming CHEN ; Chun WANG ; Jianmin WANG ; Zilun HUANG ; Ping ZOU ; Shifeng LOU ; Jian OUYANG ; Fan ZHOU ; Xin DU ; Zhixiang SHEN
Chinese Journal of Internal Medicine 2008;47(2):98-101
Objective To describe the demographic and clinical characteristics of patients with the diagnosis of multiple myeloma(MM)and to analyse the outcome of difierent regimens for the treatment of MM.Methods The study reviewed 332 MM cases diagnosed within the period from January 1,2002 to December 31,2002.These patients were tracked via their records to a total period of three years.Results First-line treatment:Totally 332 patients were included,among them 325(97.9%)patients received chemotherapy and 7(2.1%)patients received stem cell transplantation(SCT);Second-line treatment:197 patients were included,among them 190(96.5%)patients received chemotherapy and 7(3.6%)patients received SCT;Third-line treatment:92 patients were included,among them 88(95.7%)patients received chemotherapy and 4(4.4%)patients received SCT.Major adverse effects were follows:severe infection 19.3%,severe anaemia 19.3%,phlebothrombosis 1.2%,thrombocytopenia 16.9%,fever associated with neutropenia 18.1%.Conclusions Some curative effects can be achieved by using traditional treatment plans to treat patients suffering from MM,but new methods are expected to improve the prognosis.
8.Targeted therapy for small cell carcinoma of prostate: a case report
Chenfei CHI ; Jiazhou LIU ; Liancheng FAN ; Yongheng SHI ; Zhixiang XIN ; Jiahua PAN ; Jianjun SHA ; Yinjie ZHU ; Wei XUE ; Baijun DONG
Chinese Journal of Urology 2022;43(4):299-300
A patient aged 68 years old presented urinary frequency, urgency, and gross hematuria for 1 month, with initial PSA of 72.72 ng/ml and alkaline phosphatase (ALP)of 114 U/L. Prostate biopsy pathology showed small cell neuroendocrine carcinoma of prostate. The patient was immediately administered 6 cycle of chemotherapy including etoposide and cisplatin combined with medical castration. The CDK4 gene was detected 1.99 times amplification by peripheral blood free DNA (cfDNA)gene analysis. The chemotherapy was followed by parbosini therapy. The number and density of bone metastases continued to decrease significantly by bone scan at 3 and 6 months after treatment, with a continuous decline of ALP and PSA. After 1 year of follow-up, pelvic MRI and bone systemic imaging indicated stable lesions, with PSA of 0.05 ng/ml and ALP of 59 U/L.
9.DeepNitro: Prediction of Protein Nitration and Nitrosylation Sites by Deep Learning.
Yubin XIE ; Xiaotong LUO ; Yupeng LI ; Li CHEN ; Wenbin MA ; Junjiu HUANG ; Jun CUI ; Yong ZHAO ; Yu XUE ; Zhixiang ZUO ; Jian REN
Genomics, Proteomics & Bioinformatics 2018;16(4):294-306
Protein nitration and nitrosylation are essential post-translational modifications (PTMs) involved in many fundamental cellular processes. Recent studies have revealed that excessive levels of nitration and nitrosylation in some critical proteins are linked to numerous chronic diseases. Therefore, the identification of substrates that undergo such modifications in a site-specific manner is an important research topic in the community and will provide candidates for targeted therapy. In this study, we aimed to develop a computational tool for predicting nitration and nitrosylation sites in proteins. We first constructed four types of encoding features, including positional amino acid distributions, sequence contextual dependencies, physicochemical properties, and position-specific scoring features, to represent the modified residues. Based on these encoding features, we established a predictor called DeepNitro using deep learning methods for predicting protein nitration and nitrosylation. Using n-fold cross-validation, our evaluation shows great AUC values for DeepNitro, 0.65 for tyrosine nitration, 0.80 for tryptophan nitration, and 0.70 for cysteine nitrosylation, respectively, demonstrating the robustness and reliability of our tool. Also, when tested in the independent dataset, DeepNitro is substantially superior to other similar tools with a 7%-42% improvement in the prediction performance. Taken together, the application of deep learning method and novel encoding schemes, especially the position-specific scoring feature, greatly improves the accuracy of nitration and nitrosylation site prediction and may facilitate the prediction of other PTM sites. DeepNitro is implemented in JAVA and PHP and is freely available for academic research at http://deepnitro.renlab.org.
Amino Acid Sequence
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Amino Acids
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metabolism
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Deep Learning
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Humans
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Internet
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Neural Networks (Computer)
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Nitrosation
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Proteins
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chemistry
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metabolism
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Reproducibility of Results
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Software