人肺腺癌转移相关转录因子1在非小细胞肺癌中的表达分析
The analysis of lung adenocarcinoma transcript 1 expression in non-small cell lung cancer
摘要目的 探讨人肺腺癌转移相关转录因子1(MALAT1)基因在非小细胞肺癌(NSCLC)发生、发展中的意义.方法 收集新鲜NSCLC组织标本及其对应的癌旁组织标本各86例,采用实时荧光定量聚合酶链反应(RT-PCR)方法检测MALAT1 mRNA的表达,并对患者性别、年龄、癌胚抗原(CEA)水平、临床分期、肿瘤侵袭转移程度等进行相关性分析.结果 MALAT1在癌组织中的表达(87.23 ±9.72)是癌旁组织表达(40.38±5.49)的2.16倍,差异有统计学意义(t=7.894,P<O.01).MALAT1的表达与患者性别、年龄、组织类型、肿瘤直径、CEA水平差异无统计学意义(P均>0.05),与病理分期[Ⅰ期52.38%(11/21)、Ⅱ期76.00%(19/25)、Ⅲ期97.50% (39/40),x2=11.839,P=0.042]、分化程度[高分化39.13% (9/23)、中分化74.47% (35/47)、低分化100% (16/16),x2=15.383,P=0.032]、淋巴结转移[有97.22% (35/36)、无46.00% (23/50),x2=23.947,P=0.030]比较,差异均有统计学意义.结论 MALAT1在NSCLC发生发展中有重要意义,可以在一定程度上辅助对肿瘤的诊断.
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abstractsObjective To investigate the significance of metastasis associated lung adenocarcinoma transcript 1 (MALAT1) in the occurrence and development of non-small cell lung cancer(NSCLC).Methods Eighty-six NSCLC lung tissue samples and 86 corresponding adjacent tissues were collected.Real-time quantitative polymerase chain reaction (RT-PCR) was used to detect MALAT1 mRNA expression.The correlation analysis of the gender,age,carcinoma embryonic antigen (CEA),clinical stage,and the degree of differentiation was performed.Results MALAT1 expression levels showed an average 2.16-fold increase in NSCLC lung tissues(87.23 ±9.72) when compared with adjacent tissues(40.38 ± 5.49),the difference was statistically significant (t =7.894,P < 0.01).There was no significant difference between gender,age,histological type,tumor diameter,CEA level in terms of MALAT1 expression (P > 0.05).There was significant differences between pathological stage (Ⅰ stage =52.38% (11/21),Ⅱ stage =76.00% (19/25),Ⅲ stage =97.50% (39/40),x2 =11.839,P =0.042),tumor differentiation (High differentiated =39.13% (9/23),moderately differentiated =74.47% (35/47),low differentiated =100% (16/16),x2 =15.383,P =0.032)and lymph node metastasis (with =97.22% (35/36),no =46.00% (23/50),x2 =23.947,P =0.030).Conclusion MALAT1 might be involved in the development of NSCLC,and could be an auxiliary diagnosis marker.
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