生物
癌症
染色体
微阵列分析技术
逻辑回归
病理
逐步回归
基因
转移
遗传标记
微阵列
癌症研究
内科学
遗传学
基因表达
医学
作者
Lei Cheng,Qing Zhang,Sheng Yang,Yanqing Yang,Wen Zhang,Hengjun Gao,Xiaxing Deng,Qinghua Zhang
出处
期刊:Genomics
[Elsevier]
日期:2013-10-01
卷期号:102 (4): 323-330
被引量:18
标识
DOI:10.1016/j.ygeno.2013.05.004
摘要
A widely held viewpoint is that the use of multiple markers, combined in some type of algorithm, will be necessary to provide high enough discrimination between diseased cases and non-diseased. We applied stepwise logistic regression analysis to identify the best combination of the 32 biomarkers at chromosome 8q on an independent public microarray test set of 80 paired gastric samples. A combination of SULF1 , INTS8 , ATP6V1C1 , and GPR172A was identified with a prediction accuracy of 98.0% for discriminating carcinomas from adjacent noncancerous tissues in our previous 25 paired samples. Interestingly, the overexpression of SULF1 was associated with tumor invasion and metastasis. Function prediction analysis revealed that the 4-marker panel was mainly associated with acidification of intracellular compartments. Taken together, we found a 4-gene panel that accurately discriminated gastric carcinomas from adjacent noncancerous tissues and these results had potential clinical significance in the early diagnosis and targeted treatment of gastric cancer. • A 4-marker panel of SULF1 , INTS8 , ATP6V1C1 , and GPR172A was identified. • The overexpression of SULF1 and CTHRC1 was associated with depth of tumor invasion. • SULF1 was overexpressed in M1 stage compared with M0 stage. • The panel was mainly associated with acidification of intracellular compartments. • SULF1 and CTHRC1 had crucial roles in extracellular matrix in GeneMANIA network.
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