基于TCGA数据库肝细胞癌microRNA-324-5p表达与预后危险因素分析

摘要/Abstract

摘要：

目的：探究microRNA-324-5p（miR-324-5p）在肝细胞癌（hepatocellular carcinoma, HCC）组织中的表达与病人预后危险因素。方法：通过TCGA（The Cancer Genome Atlas）数据库获得的肿瘤组织和正常肝组织miRNA表达谱数据与病人临床信息,分析miR-324-5p表达差异与病理的关系。通过绘制生存曲线分析miR-324-5p表达与病人预后的相关性。单因素和多因素Cox回归模型分析HCC相关危险因素。结果：miR-324-5p在HCC表达高于正常组织（P<0.001）,且与不良预后相关。多因素Cox分析表明miR-324-5p可作为HCC预后不良的独立危险因素（P<0.05）。结论：miR-324-5p在HCC组织过表达,是HCC病人总生存期缩短的独立危险因素,为HCC预后判断的潜在生物学标志物。

关键词:肝细胞癌,microRNA-324-5p,生物学标志物

Abstract:

ObjectiveTo study the expression of microRNA-324-5p (miR-324-5p) in hepatocellular carcinoma (HCC) and the prognosis risk factor in patients with HCC.MethodsMiRNA expression database in tissue of both tumor and normal liver combined with clinical data of HCC patients were collected from The Cancer Genome Atlas (TCGA) database. Relationship between miR-324-5p expression and pathological features was analyzed. Relation of miR-324-5p expression to prognosis of the patients was analyzed through survival curve. Univariate and multivariate Cox regression models were used to analyze the risk factors related to HCC.ResultsThe expressions of miR-324-5p in HCC were higher than those in normal tissues(P<0.001) and were associated with poor prognosis. Multivariate Cox analysis showed that miR-324-5p was an independent risk factor for HCC (P<0.05).ConclusionsMiR-324-5p is upregulated in HCC, which play a role as risk factor in the HCC patients with shorten suvival and may be a possible biomarker of HCC prognosis prediction.

Key words:Hepatocellular carcinoma,MicroRNA-324-5p,Biomarker

中图分类号:

R735.7

吴城孝, 方婕, 周霁川, 肖永胜, 张晓光. 基于TCGA数据库肝细胞癌microRNA-324-5p表达与预后危险因素分析[J]. 外科理论与实践, 2021, 26(03): 249-253.

WU Chengxiao, FANG Jie, ZHOU Jichuan, XIAO Yongsheng, ZHANG Xiaoguang. Expression of microRNA-324-5p in hepatocellular carcinoma based on the Cancer Genome Atlas (TCGA) database and analysis of prognosis risk factor[J]. Journal of Surgery Concepts & Practice, 2021, 26(03): 249-253.

图/表4

表1

HCC病人miR-324-5p表达情况与临床资料特征[n(%)]

项目	miR-324-5p 低表达	miR-324-5p 高表达	P值
病例(n)	187	188
年龄			0.178
≤60	82 (21.9)	96 (25.7)
>60 NA^a)	105 (28.1) 0	91 (24.3) 1
性别			0.683
女	57 (15.2)	62 (16.5)
男	130 (34.7)	126 (33.6)
T分期			0.937
T₁	95 (25.5)	89 (23.9)
T₂	46 (12.4)	49 (13.2)
T₃	39 (10.5)	41 (11)
T₄ NA^a)	6 (1.6) 1	7 (1.9) 2
N分期			0.357
N₀	123 (47.3)	133 (51.2)
N₁ NA^a)	3 (1.2) 61	1 (0.4) 54
M分期			1.000
M₀	130 (47.3)	141 (51.3)
M₁ NA^a)	2 (0.7) 55	2 (0.7) 45
病理分期			0.898
Ⅰ	88 (25.1)	86 (24.5)
Ⅱ	42 (12)	45 (12.8)
Ⅲ	40 (11.4)	45 (12.8)
Ⅳ NA^a)	3 (0.9) 14	2 (0.6) 10
甲胎蛋白(μg/L)			<0.001^b)
≤400	127 (44.9)	91 (32.2)
>400 NA^a)	17 (6.0) 43	48 (17.0) 49
Child-Pugh分级			0.258
A	115 (47.1)	107 (43.9)
B	8 (3.3)	13 (5.3)
C NA^a)	1 (0.4) 63	0 68
Ishak评分			0.830
0	43 (19.7)	33 (15.1)
1/2	16 (7.3)	14 (6.4)
3/4	14 (6.4)	16 (7.3)
5/6 NA^a)	45 (20.6) 69	37 (17.0) 88
血管侵犯			0.598
无	110 (4.4)	98 (30.6)
有 NA^a)	55 (17.2) 22	57 (17.8) 33

表1

图1

图2

表2

OS的单因素和多因素Cox回归分析

项目	单因素分析		多因素分析
项目	HR (95%CI)	P值	HR (95%CI)	P值
年龄	1.222 (0.860~1.738)	0.263
性别	1.252 (0.875~1.792)	0.219
T分期	2.617 (1.834~3.736)	<0.001^a)	1.696 (0.233~12.356)	0.602
N分期	2.051 (0.503~8.372)	0.317
病理分期	2.519 (1.731~3.665)	<0.001^a)	1.541 (0.213~11.142)	0.668
甲胎蛋白	1.090 (0.667~1.784)	0.730
Child-Pugh分级	1.672 (0.825~3.391)	0.154
Ishak评分	0.764 (0.461~1.267)	0.297
血管侵犯	1.337 (0.882~2.028)	0.172
miR-324-5p表达	1.428 (1.006~2.026)	0.046^a)	1.537 (1.058~2.233)	0.024^a)

表2

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