Identification of Biomarkers for Lung Adenocarcinoma With Qi Deficiency and Phlegm Dampness

被引:0
|
作者
Chen, Jiabin [1 ]
Wang, Sheng [2 ]
Yang, Qiaolei [3 ]
Zhang, Yongjun [4 ]
Shen, Jianfei [5 ]
Chai, Kequn [1 ]
机构
[1] Zhejiang Chinese Med Univ, Tongde Hosp Zhejiang, Dept Oncol, Hangzhou, Peoples R China
[2] Jinhua Guangfu Hosp, Dept Resp, Jinhua, Peoples R China
[3] Zhejiang Univ, Fac Med, Inst Pharmaceut Biotechnol, Hangzhou 310058, Zhejiang, Peoples R China
[4] Univ Chinese Acad Sci, Canc Hosp, Dept Integrated Chinese & Western Med, Hangzhou, Peoples R China
[5] Taizhou Hosp, Dept Thorac Surg, Taizhou, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
biomarker; lung adenocarcinoma; Qi deficiency and phlegm dampness; RNA-seq; traditional Chinese medicine; TRADITIONAL CHINESE MEDICINE; CANCER; MUTATIONS; DDR2;
D O I
10.1111/crj.13812
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
BackgroundQi deficiency and phlegm dampness (QPD) is one of the most common traditional Chinese medicine (TCM) syndromes in lung adenocarcinoma (LUAD). This study aimed to identify syndrome-specific biomarkers for LUAD with QPD syndrome.MethodsPeripheral blood mononuclear cells (PBMCs) from LUAD patients with QPD, LUAD patients with non-QPD (N-QPD), and healthy control (H) were collected and analyzed with RNA-seq to identify differentially expressed genes (DEGs). The area under the receiver operator characteristic curve (AUC) of each DEG was calculated, and the top 10 highest AUC DEGs were validated by qRT-PCR. Logistic regression analysis was used to develop a diagnostic model evaluated with AUC.ResultsA total of 135 individuals were enrolled in this study (training set: 15 QPD, 15 N-QPD, 15 H; validation set: 30 QPD, 30 N-QPD, 30 H). A total of 1480 DEGs were identified between QPD and N-QPD. The qRT-PCR results showed that the expression of DDR2 was downregulated, and PPARG was upregulated, which was in line with the finding of the training set. We developed a diagnostic model with these two genes. The AUC of the diagnostic model in the training cohort and validation cohort was 0.891 and 0.777, respectively.ConclusionsWe identified the two genes (DDR2 and PPARG) as syndrome-specific biomarkers for LUAD with QPD syndrome and developed a novel diagnostic model, which may help to improve the accuracy and sensibility of clinical diagnosis and provide a new target for natural drug treatment of LUAD. The DDR2 and PPARG were identified as potential biomarkers for LUAD with QPD syndrome. The practical diagnostic model based on DDR2 and PPARG enriched the diagnostic methods of TCM syndrome differentiation, which may help to improve the accuracy and sensibility of clinical diagnosis. The practical diagnostic model may provide a new target for natural drug treatment of LUAD.image
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页数:11
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