Your browser doesn't support javascript.
loading
Identification of Biomarkers for Lung Adenocarcinoma With Qi Deficiency and Phlegm Dampness.
Chen, Jiabin; Wang, Sheng; Yang, Qiaolei; Zhang, Yongjun; Shen, Jianfei; Chai, Kequn.
Afiliación
  • Chen J; Department of Oncology, Tongde Hospital of Zhejiang, affiliated to Zhejiang Chinese Medicine University, Hangzhou, China.
  • Wang S; Department of Respiratory, Jinhua Guangfu Hospital, Jinhua, China.
  • Yang Q; Institute of Pharmaceutical Biotechnology, Faculty of Medicine, Zhejiang University, Hangzhou, China.
  • Zhang Y; Department of Integrated Chinese and Western Medicine, Cancer Hospital of University of Chinese Academy of Sciences, Hangzhou, China.
  • Shen J; Department of Thoracic Surgery, Taizhou Hospital, Taizhou, China.
  • Chai K; Department of Oncology, Tongde Hospital of Zhejiang, affiliated to Zhejiang Chinese Medicine University, Hangzhou, China.
Clin Respir J ; 18(8): e13812, 2024 Aug.
Article en En | MEDLINE | ID: mdl-39107932
ABSTRACT

BACKGROUND:

Qi 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.

METHODS:

Peripheral 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.

RESULTS:

A 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.

CONCLUSIONS:

We 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.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biomarcadores de Tumor / Adenocarcinoma del Pulmón / Neoplasias Pulmonares / Medicina Tradicional China Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Clin Respir J Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biomarcadores de Tumor / Adenocarcinoma del Pulmón / Neoplasias Pulmonares / Medicina Tradicional China Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Clin Respir J Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido