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2. Effects of

Author

Chuanjiang, He, Xiang, Cheng, Aihemaitijiang, Kaisaier, Jiangli, Wan, Shengfang, Luo, Jie, Ren, Yinzhong, Sha, Hongmei, Peng, Yahui, Zhen, Wen, Liu, Sujie, Zhang, Jingran, Xu, and Aimin, Xu

Subjects
Original Article
Abstract

BACKGROUND: China ranks second in the incidence of tuberculosis (TB), and the virulence and infectivity of Mycobacterium tuberculosis (M.tb) in different lineages are different. The variation of virulence genes in the M.tb regions of difference (RD) may be the reason for differences in pathogenicity. Studying the relationship between virulence gene mutations in the RD region of clinical strains of M.tb and TB relapse can provide basic data for the study of TB prevention and control. METHODS: A total of 155 M.tb clinical strains were collected in Kashgar Prefecture. Whole-genome sequencing (WGS) was conducted, and mutations in virulence genes in the M.tb RD region were analyzed. The maximum likelihood method was implemented using IQ-TREE software. Logistic regression was used to analyze the relationship between lineage, RD region virulence gene variation, and patient relapse. RESULTS: The 155 strains of M.tb in Kashgar Prefecture belong to 3 M.tb lineages: L2 (45.80%), L3 (32.90%), and L4 (21.30%). In relapsed patients, L2 (70.83%, 17/24) was significantly higher than the other lineages (29.17%, 7/24; P

Published
2021

4. Department of Laboratory Medicine Researcher Highlights Recent Research in Lung Cancer (An abnormal metabolism-related gene, ALG3, is a potential diagnostic and prognostic biomarker for lung adenocarcinoma).

Subjects
COMPETITIVE endogenous RNA, DISEASE risk factors, PROGNOSIS, LUNG cancer, GENETICS
Abstract

A recent study conducted by the Department of Laboratory Medicine explored the role of abnormal metabolism-related genes in the prognosis of patients with lung adenocarcinoma (LUAD). The researchers analyzed transcriptome data from the Cancer Genome Atlas database and identified 42 abnormal metabolism-related differential genes. After further analysis, they constructed a prognostic model using five metabolism-related genes, including ALG3, COL7A1, KL, MST1, and SLC52A1. The study found that the high-risk subgroup had a lower survival rate, and the risk score of the prognostic model was related to the infiltration of multiple immune cells. The researchers concluded that this model provides a novel perspective for the diagnosis and research of LUAD. [Extracted from the article]

Published
2024

5. Department of Laboratory Medicine Researcher Provides New Data on Esophageal Cancer (Construction and validation of a prognostic model for esophageal cancer based on prognostic-related RNA-binding protein).

Subjects
CANCER genetics, RECEIVER operating characteristic curves, RNA-binding proteins, CARRIER proteins, ESOPHAGEAL cancer
Abstract

A recent study conducted by the Department of Laboratory Medicine has constructed a prognostic model for esophageal cancer (ESCA) based on prognostic RNA-binding proteins (RBPs). The researchers analyzed RNA-seq data from The Cancer Genome Atlas database and identified 105 RBPs associated with ESCA. They used COX regression analysis to establish a prognostic risk model consisting of 6 RBPs (ARHGEF28, BOLL, CIRBP, DKC1, SNRPB, and TRIT1). The model showed good predictive ability for patients' 5-year survival and may provide new ideas for targeted therapy of ESCA. [Extracted from the article]

Published
2024

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