巨大肝细胞癌根治术后nomogram预测模型的建立及复发相关蛋白质组学初步研究
[Abstract]:Part 1 Survival Analysis and nomogram prediction model for giant hepatocellular carcinoma (HCC) objective: surgery is still the most effective treatment for liver cancer. In the subtype of hepatocellular carcinoma, we choose a large liver cancer patient with a poor prognosis and a high recurrence rate (diameter more than 10 cm) to analyze the pathological data of the clinicopathology, and establish the preoperation and postoperative nomogram prediction The model was used to analyze the survival and recurrence of the patients. Methods: a retrospective analysis of the clinicopathological data of 464 huge hepatocellular carcinoma patients who underwent hepatectomy in the Eastern Department of hepatobiliary surgery from January 2008 to December 2009 and 90 cases of hepatectomy in the First Affiliated Hospital of Fujian Medical University from January 2008 to April 2010. The perioperative complications, mortality, recurrence interval and total survival time were observed. The patients in the Eastern Department of hepatobiliary surgery were randomly divided into the modeling group and the internal verification group. All the patients in the First Affiliated Hospital of Fujian Medical University were the external verification group. The Cox regression analysis was used to analyze the single factor and multi factor analysis of the preoperative and postoperative data respectively. The multivariate and meaningful (P0.05) variables were included in the final preoperation and postoperatively nomogram prediction models. The predictability of the model was verified by C-index, calibration curve and verification group. Results: the incidence of postoperative complications was 18.6% (n=95) in the Oriental Department of Hepatobiliary Surgery; the cumulative recurrence rate in 1,3,5 years after operation was 43.8%, 74.1% and 82.1%; survival was 74.1% and 82.1%. The incidence of postoperative complications of 75.1%, 49%, and 33.3%. Affiliated First hospitals of Fujian Medical University was 30.5% (n=32); the cumulative recurrence rate was 38.3%, 69.2% and 84.1% in 1,3,5 years after operation; the survival rate was 77.7%, 44.9% and 21.5%. predicted survival based on preoperative and postoperative data to predict survival C-index for 0.75 (95%CI, 0.72-0.78) and 0, respectively. .78 (0.75-0.81). 3 years after the operation, the 5 year survival calibration curve nomograms predicted survival and the actual survival of a higher degree of anastomosis. Through the nomograms prediction model, the patients were stratified, and the postoperative patients were effectively divided into four equal fraction (P0.01) with increasing survival rate (P0.01). Preoperative clinicopathological data analysis showed that: AFP200ug /L, high HBV-DNA load, multiple tumor, larger tumor diameter, and an independent risk factor for survival with portal vein tumor thrombus; AFP200ug/L, high HBV-DNA load, multiple tumor, larger tumor diameter and combined portal vein thrombus as independent risk factors for recurrence. Multivariate analysis of postoperative clinicopathological data showed high HBV-DNA load and multiple swelling. Tumor, large tumor diameter, vascular invasion, tumor capsule incomplete, poor Edmonson-Stenier classification as independent risk factors for survival; high HBV-DNA load, multiple tumor, larger tumor diameter, vascular invasion, and incomplete tumor capsule as an independent risk factor for recurrence. Conclusion: preoperation and postoperative nomogram prediction model is predicted. The long-term survival and recurrence of huge hepatocellular carcinoma patients have good accuracy. Second the difference of proteomics of the recurrence related after radical hepatocarcinoma radical resection for large hepatocellular carcinoma (I TRAQ) identification and screening of differential expression related to recurrence of giant hepatocellular carcinoma after radical resection Methods the primary hepatocarcinoma tissue specimens of the patients with recurrent hepatocellular carcinoma (HCC) after surgical excision were selected to be grouped according to the postoperative recurrence time. Two dimensional liquid chromatography tandem mass spectrometry (2DLC-MS/MS) combined with I TRAQ reagent was used to analyze the differential expression of protein, and further bioinformatics analysis was performed. There were 409 protein molecules with significant differences (more than 1.5 times or less than 0.67 times) in the 6 month and 2 year recurrence groups, and 518 protein molecules with significant differences in the 6-12 and 2 year recurrence groups. In this study, we further screened the differences that varied with the recurrence time. 10 different proteins, up regulated by S100A9, MPO, APOA4, TMEM97, NR5A2, and down regulated DHRS2, TTC4, CHD2, HPD, and FTCD.GO analysis showed that the differentially expressed protein related genes were involved in steroid metabolism, redox and protein metabolism.IPA analysis. Conclusion the iTRAQ tagged quantitative proteomics technology provides a good platform for the screening of significant biomarkers in the process of recurrence of hepatocellular carcinoma. The bioinformatics research method further understands the function of differentially expressed proteins and its regulatory network. The differential protein expression in third parts of the recurrence of giant hepatocellular carcinoma (HCC) after radical resection aims to verify the selected proteins from m RNA and protein levels and to screen the differential proteins associated with the recurrence of hepatocellular carcinoma. Methods such as four proteins, such as S100A9, DHRS2, TMEM97 and NR5A2, were further verified. Fluorescence quantitative PCR (Q-PCR) and Western blot (Western blot) were tested for human fresh liver cancer tissue specimens. The paraffin section specimens of hepatoma cancer patients with different recurrence time were verified by immunohistochemistry. Results the results of Q-PCR and Western blot showed that the high expression of TMEM97 was a risk factor for postoperative recurrence. The immunohistochemical verification results showed that TMEM97 high expression (P=0.005, HR1.534), preoperative high serum AFP (0.003,1.595), tumor multiple (0.000,2.422), tumor diameter (0.018,1.042), naked eye cancer thrombus (0.002,1.776), MVI (0.019,1.504), incomplete capsule (0.004,0.595), and intraoperative blood transfusion (0.028,1.590) as an independent risk factor for postoperative recurrence The expression is consistent with the proteomics results. TMEM97 may be used as a warning protein for recurrence after radical resection of hepatocellular carcinoma.
【学位授予单位】:福建医科大学
【学位级别】:博士
【学位授予年份】:2015
【分类号】:R735.7
【相似文献】
相关期刊论文 前10条
1 ;早期发现肝细胞癌可增加治疗机会[J];河南医学研究;2000年02期
2 Schafer DF,潘朝法,李苏云;肝细胞癌[J];第四军医大学吉林军医学院学报;2000年01期
3 中沼安二,林淑兰,姚桢;有关小肝细胞癌病理学的最新认识[J];日本医学介绍;2000年05期
4 静雨;;美国肝细胞癌发病率增高[J];国外医学情报;2000年01期
5 张玉勋;;肝细胞癌的非手术治疗[J];国外医学情报;2000年05期
6 徐宏勇,李开宗,付由池,窦科峰,李景梦,何扬举;bcl-x,bax基因表达与肝细胞癌临床病理特征的关系[J];第四军医大学学报;2001年14期
7 蔡端;多中心源肝细胞癌的特征:与肝内转移的比较[J];国外医学.外科学分册;2002年02期
8 张春平;与白介素-18水平升高有关的肝细胞癌自发性消退[J];国外医学(内科学分册);2003年03期
9 薛海鸥,岳莉;儿童肝细胞癌1例报告[J];锦州医学院学报;2003年04期
10 德力,白志刚,牧荣,赖玉书,金灿浩,夏医君;血管内皮细胞生长因子在肝细胞癌中的表达和预后的关系[J];内蒙古医学杂志;2003年04期
相关会议论文 前10条
1 卞读军;;肝细胞癌经导管动脉化疗栓塞前后磁共振波谱研究[A];2009中华医学会影像技术分会第十七次全国学术大会论文集[C];2009年
2 贾建伟;赵洁;;肝细胞癌领域研究现状与进展[A];中医药防治感染病之研究(九)——第九次全国中医药防治感染病学术交流大会论文集[C];2009年
3 陈孝平;;肝细胞癌外科治疗进展[A];湖北省第21届肿瘤学术大会论文汇编[C];2011年
4 张杰;刘军建;韩云;张宁;芮静安;金城;周柔丽;;用荧光差异显示法筛选肝细胞癌相关新基因[A];2000全国肿瘤学术大会论文集[C];2000年
5 冯仕庭;李子平;谭国胜;孙灿辉;彭振鹏;;中晚期肝细胞癌的多层螺旋CT血管造影表现及临床应用[A];中华医学会第十三届全国放射学大会论文汇编(下册)[C];2006年
6 张法标;方哲平;王义;董辉;丛文铭;;上皮钙粘素和β-连接素在儿童肝细胞癌中的表达及其临床意义[A];2007年浙江省外科学学术会议论文汇编[C];2007年
7 陈钟杰;;螺旋CT诊断原发型肝细胞癌28例[A];2008年浙江省放射学年会论文汇编[C];2008年
8 贾克东;;肝细胞癌的诊断进展及治疗现状[A];全国中西医结合肝病新进展讲习班、江西省第二次中西医结合肝病学术会议资料汇编[C];2010年
9 李秋萍;龙顺钦;杨小兵;邓宏;蔡姣芝;潘宗奇;河文峰;周宇姝;欧阳育树;廖桂雅;吴万垠;;癌服灵治疗晚期肝细胞癌的临床研究[A];2012·中国医师协会中西医结合医师大会第三次会议论文集[C];2012年
10 朱明华;祝峙;刘晓红;林静;曲建慧;陈颖;曹晓哲;王力;倪灿荣;;乙型肝炎病毒感染与肝细胞癌发生关系的分子病理学研究[A];中华医学会病理学分会2009年学术年会论文汇编[C];2009年
相关重要报纸文章 前10条
1 中国抗癌协会临床肿瘤学协作专业委员会主任委员 秦叔逵;治疗肝细胞癌 别只盯着靶向药[N];健康报;2013年
2 记者 王丹 管九苹;肝细胞癌标志物研究获新进展[N];健康报;2013年
3 吴一福;四军医大唐都医院发现硒蛋白P与肝细胞癌发生有关[N];中国医药报;2007年
4 黎彬;肝癌研究重要进展——预测肝癌转移成为可能[N];中国医药报;2004年
5 钱文彩;α2δ1阳性细胞为新的肝细胞癌干细胞[N];中国医药报;2013年
6 新美;基础研究进展推动肝脏病学进步[N];中国医药报;2008年
7 周金莲;MIB-1和bcl-2表达预测肝癌发生[N];中国医药报;2004年
8 张金山;要灵活运用影像学提供的方法和手段[N];中国高新技术产业导报;2001年
9 李杰;不能手术切除肝细胞癌的治疗[N];科技日报;2006年
10 ;修复肝细胞 改善肝功能[N];人民日报海外版;2006年
相关博士学位论文 前10条
1 白兰;乙肝病毒捕获细胞因子和信号级联以逃避宿主免疫并维持持续感染[D];武汉大学;2014年
2 何洪卫;肝细胞癌内γδT细胞浸润减少及功能缺陷的机制研究[D];复旦大学;2014年
3 蔡晓燕;淋巴细胞在肝细胞癌和癌旁组织中的差异性表达研究[D];复旦大学;2014年
4 向导;细胞周期因子FoxM1促进肝脏再殖的研究[D];第二军医大学;2015年
5 康富标;共刺激分子B7-H3在肝细胞癌的表达及相关机制研究[D];中国人民解放军医学院;2015年
6 杨纯;Gankyrin正反馈调控Nrf2在肝细胞癌中发挥抗氧化作用[D];第二军医大学;2015年
7 陈媛媛;BTG2与肝细胞癌放疗敏感性的相关研究[D];第三军医大学;2015年
8 高霞;PNPLA3基因单核苷酸多态性及基因表达与乙肝病毒感染易感性及乙肝相关肝细胞癌的关联性研究[D];河北医科大学;2016年
9 彭晨星;microRNA结合位点单核苷酸多态性对肝细胞癌预后影响的相关性研究[D];河北医科大学;2016年
10 田伟;γδT细胞免疫治疗肝细胞癌的实验研究[D];山西医科大学;2016年
相关硕士学位论文 前10条
1 陈中博;咖啡摄入与肝细胞癌发病风险的Meta分析[D];河北医科大学;2015年
2 张华鹏;核受体辅激活蛋白5在肝细胞癌组织中的表达及其临床意义[D];郑州大学;2015年
3 郭慧敏;血清sCD25测定在肝细胞癌诊断中的意义[D];郑州大学;2015年
4 凌青霞;双氧化酶1(Duox1)在肝细胞癌中的表达调控及作用研究[D];复旦大学;2014年
5 李会芬;血清Talin-1在肝细胞癌诊断中的作用[D];郑州大学;2015年
6 蒙锦莹;血管生长相关因子的血清浓度与肝细胞癌预后的相关性研究[D];兰州大学;2015年
7 战勇;肝细胞癌术前造影参数与生物学表现相关性及术后复发相关因素讨论[D];中国人民解放军医学院;2015年
8 姚乐;microRNA-32在肝细胞癌中的表达及其临床预后意义[D];河北医科大学;2015年
9 吴华;MACC1在肝细胞癌中的表达与临床意义[D];安徽医科大学;2015年
10 袁仁顺;miR-106a在肝细胞癌中高表达并促进肝癌细胞进展的机制研究[D];苏州大学;2015年
,本文编号:2149229
本文链接:https://www.wllwen.com/yixuelunwen/zlx/2149229.html