基于生物信息学分析结直肠癌诊断标志物与治疗靶点  

An Analysis on Diagnostic Marks and Treatment Targets of Colorectal Cancer in View of Patients’Biological Informatics

作　　者：胡清荣[1] 李瑾[2] HU Qing rong;LI Jin(Gansu Provincial Academy of Medical Science,Lanzhou,Gansu 730050;Gansu Provincial Hospital of Oncology,Lanzhou,Gansu 730050)

机构地区：[1]甘肃省医学科学研究院,甘肃兰州730050 [2]甘肃省肿瘤医院,甘肃兰州730050

出　　处：《中国肛肠病杂志》2020年第10期1-3,共3页Chinese Journal of Coloproctology

摘　　要：基于生物信息学分析结直肠癌诊断标志物与治疗靶点,选取2018年1月至2019年12月收治的结直肠癌患者300例,其中结肠癌174例,直肠癌126例。采用细针获取组织标本,进行Transwell细胞侵袭实验,采用贝伐单抗联合依立替康、甲酰四氢叶酸、氟尿嘧啶化疗。观察不同时间SW480发生EMT情况,比较结直肠癌患者TGF-Β诱导12h、24h、48h CDH1、VIH、miR-138、miR-139-5p、穿过基质胶细胞个数及临床疗效。结果显示,24h可见部分结直肠癌发生形态学变化,48h发生明显的形态学改变,72h形态改变更加明显。结肠癌、直肠癌患者12h、24h、48hCDH1、VIH基因表达比较差异无统计学意义(P>0.05)。结肠癌、直肠癌患者12h、24h、48hmiR-138、miR-139-5p表达比较差异无统计学意义(P>0.05)。结肠癌、直肠癌患者穿过基质胶细胞个数比较差异无统计学意义(P>0.05)。300例患者的临床总有效率为72.67%,完全缓解率为24.67%、部分缓解率为37.33%、病情稳定率为10.67%。结果表明,分析结直肠癌生物信息学寻找治疗靶点,有利于临床制定有效治疗方案。This study was to analyse diagnostic marks and treatment targets of colorectal cancer in view of patients’biological informatics,enrolled 300 patients with colorectal cancer treated from 2018-01 to 2019-12(included 174 cases of colonic cancer,and 126 cases of rectal cancer)into the study:by using fine-needle to sample tissue specimen for taking Transwell cell invasive experiment;by using Bevacizumab combined with Irinotecan,leucovorin and FU for performing chemotherapy on patients;to observe status on SW480 developing EMT,to compare patients’CDH1,VIH,miR-138,miR-139-5 R,and the cell numbers through matrix collagenocytes at 12,24 and 48 hrs via TGF-Βinduction,as well as clinical effect.As results,at 24 hrs,a part of colorectal cancer developed morphological changes;at 48 hrs the changes became significantly;at 72 hrs,more significantly;at 12,24,and 48 hrs in CDH1 and VIH there was no statistical difference between colonic cancer patients and rectal cancer patients(P>0.05),and in miR-139-5 p,did so(P>0.05);in the cell numbers through matrix collagenocytes,did so(P>0.05);as for clinical effect,in the 300 patients total effective rate ws 72.67%,complete remission rate was 24.67%,partial remission rate was 37.33%,the rate of stable disease was 10.67%.Results show that through colorectal cancers’biological informatics to seek treatment targets is beneficial to develop clinically effective treatment schema.

关 键 词：结直肠癌 生物信息学 miRNA CDH1 VIH 穿过基质胶细胞 

分 类 号：R735.34[医药卫生—肿瘤]