Article
Multidisciplinary Sciences
Zhaodong Li, Hongtian Fei, Siyu Lei, Fengtong Hao, Lijie Yang, Wanze Li, Laney Zhang, Rui Fei
Summary: In this study, HMMR was identified as a potential therapeutic target and an independent prognostic biomarker for LUAD patients, based on multiple databases and cell samples validation. HMMR was closely related to FOXM1 and primarily involved in the cell cycle.
Article
Medicine, General & Internal
Tianyi Zhang, Ying Liu, Wenqiang Liu, Qunwang Li, Wei Hou, Ying Huang, Pan Lv, Lu Meng, Yinhua Li, Yunge Jia, Xuezheng Liu, Zhongfu Zuo
Summary: PYCR1 mRNA is upregulated in adenocarcinoma of the kidney (AK) and is associated with higher tumor grade, clinical stage, lymph node and distant metastasis, and poorer prognosis in AK patients. Gene Set Enrichment Analysis indicates involvement of ribosome, proteasome, p53 signaling pathway inhibition, extracellular matrix receptor interaction, and homologous recombination pathways in AK patients with increased PYCR1 mRNA expression.
Article
Medicine, General & Internal
Dinglong Yang, Xiaodong Gu, Chunjiang Li, Junjun Shi, Yujing Chen, Mingjie Dong, Zhiqiang Zhang
Summary: BCL7B may potentially serve as a biomarker for distinguishing normal and tumor tissues in sarcomas, with its expression associated with various clinical-pathologic features. Low BCL7B expression is linked to poor overall survival in sarcoma patients, while high expression is correlated with leiomyosarcoma histological type. Gene set enrichment analysis revealed potential pathways and functions associated with BCL7B expression in sarcomas.
Article
Immunology
Yuli Wang, Jing Xu, Yuan Fang, Jiefei Gu, Fanchen Zhao, Yu Tang, Rongzhong Xu, Bo Zhang, Jianchun Wu, Zhihong Fang, Yan Li
Summary: A novel signature incorporating both lipid metabolism and immune-related genes was developed and validated for all-stage LUAD patients. This signature can be applied for survival prediction and guiding personalized chemotherapy and immunotherapy regimens.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Chemistry, Medicinal
Fei-Ran Yang, Si-Yi Li, Xi-Wen Hu, Xiu-Rong Li, Hui-Jie Li
Summary: This study identified 1783 DEGs in LUAD tissue samples compared to normal samples, and explored the characteristics of the DEGs through functional enrichment analysis and the PPI network. Ten hub genes were identified, with INS and GCG potentially being effective biomarkers for LUAD prevention and treatment. Curcumin was found to inhibit the proliferation, migration, and invasion of LUAD cells by targeting INS and GCG genes, suggesting potential therapeutic effects on LUAD.
DRUG DESIGN DEVELOPMENT AND THERAPY
(2022)
Article
Biochemistry & Molecular Biology
Yushan Wang, Ruihong Wang, Ji Ma, Tingting Wang, Cuiping Ma, Yuchao Gu, Yanxia Xu, Ye Wang
Summary: This study analyzed the gene expression profile of lung adenocarcinoma (LUAD) and identified key modules and genes using a weighted gene co-expression network analysis. A COX proportional risk regression model was used to evaluate the prognostic value of the identified genes. The study identified ten gene markers associated with increased prognostic risk in LUAD patients.
CELLULAR AND MOLECULAR BIOLOGY
(2023)
Article
Plant Sciences
Xingfang Zhang, Mengyuan Wang, Xinxin Liang, Jianv Wang, Ming Zhang, Cen Li, Lixin Wei, Hongtao Bi
Summary: This study used bioinformatics and in vivo experimental validation to investigate the potential role of Ophiocordyceps sinensis in the treatment of lung adenocarcinoma (LUAD). The study identified BRCA1 and CCNE1 as important biomarkers and core targets of O. sinensis against LUAD. The results suggest that O. sinensis has inhibitory effects on LUAD through specific signaling pathways.
JOURNAL OF ETHNOPHARMACOLOGY
(2023)
Article
Oncology
Shihan Xiao, Chen Yang, Yang Zhang, Chen Lai
Summary: The low expression of B3GNT6 is found to be associated with poor prognosis in colorectal cancer patients, as well as high chromosomal instability, KRAS mutations, and increased proteasomal activity.
WORLD JOURNAL OF SURGICAL ONCOLOGY
(2022)
Article
Oncology
Xin Li, Xiaowei Chen, Xueju Hu, Yan Shen, Rui Xu, Leilei Wu, Xiaobing Shen
Summary: The study found that the GUCY1A2 gene is highly expressed in gastric cancer tissues and may serve as a potential prognostic marker. Logistic regression analysis showed that high expression of GUCY1A2 was significantly associated with histological grade and T stage. Kaplan-Meier curves indicated that gastric cancer patients with high expression of GUCY1A2 had a poorer prognosis. GSEA results demonstrated that the high GUCY1A2 phenotype is significantly enriched for tumor-related signaling pathways.
FRONTIERS IN ONCOLOGY
(2021)
Article
Genetics & Heredity
Zhengliang Tu, Xiangfeng He, Liping Zeng, Di Meng, Runzhou Zhuang, Jiangang Zhao, Wanrong Dai
Summary: With the development of computer technology, screening cancer biomarkers based on public databases has become a common research method. An eight-gene prognostic model for lung adenocarcinoma (LUAD) patients was developed through bioinformatics methods. The model was validated to have independent prognostic value through various analyses.
FRONTIERS IN GENETICS
(2021)
Article
Biology
Xidong Ma, Mei Xie, Zhiqiang Xue, Jie Yao, Yuanyong Wang, Xinying Xue, Jianxin Wang
Summary: The high expression of HMMR in lung adenocarcinoma is associated with clinicopathological features and tumor infiltration, potentially promoting the progression and recurrence of LUAD. Moreover, high expression of HMMR is linked to immune cell infiltration and patient prognosis, making it a potential biomarker or therapeutic target for predicting LUAD prognosis and immune infiltration.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Cell Biology
Tao Jiang, Li Zheng, Xia Li, Jia Liu, Hu Song, Yixin Xu, Chenhua Dong, Lianyu Liu, Hongyu Wang, Shuai Wang, Renhao Wang, Jun Song
Summary: QSOX2 overexpression is strongly associated with malignant progression and poor oncological outcomes in CRC. QSOX2 might act as a novel biomarker for prognosis prediction and a new target for biotherapy in CRC.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2021)
Article
Medicine, General & Internal
Sisi Chang, Yahui Zhu, Yutan Xi, Fuyan Gao, Juanjuan Lu, Liang Dong, Chunzheng Ma, Honglin Li
Summary: The study evaluated the role of DSCC1 in LUAD through analyzing TCGA and GTEx data. Results showed that high expression of DSCC1 was significantly correlated with T stage, pathological stage, TP53 status, disease-specific survival, overall survival, and DSCC1 was suggested as a potential diagnostic molecule for LUAD. Additionally, down-regulation of certain signaling pathways and positive correlation with specific immune cells were observed in the high DSCC1 expression phenotype, suggesting DSCC1 as an important biomarker for LUAD treatment.
INTERNATIONAL JOURNAL OF GENERAL MEDICINE
(2021)
Article
Medicine, General & Internal
Jianmin Zeng, Man Li, Huasheng Shi, Jianhui Guo
Summary: This study revealed that FGD6 was significantly overexpressed in GC tissues and associated with higher histological grade, stage, and poor prognosis. Multivariate Cox regression analysis indicated that FGD6 was an independent prognostic factor for survival in GC patients.
FRONTIERS IN MEDICINE
(2021)
Article
Biotechnology & Applied Microbiology
Jun Shao, Boqing Zhang, Lin Kuai, Qingguo Li
Summary: The study identified a hypoxia-associated long non-coding RNA (lncRNA) signature as a key indicator for predicting prognosis in lung adenocarcinoma (LUAD) patients, and developed a new predictive model successfully. Various statistical approaches verified the accuracy of the risk score model and revealed the immune environment landscape. The seven hypoxia lncRNAs survival signature showed reliable predictive power for overall survival in LUAD patients, presenting significant implications in clinical practice.
Article
Cell Biology
Li Zhang, Xing Chen, Jun Yin
Article
Cell Biology
Na-Na Guan, Chun-Chun Wang, Li Zhang, Li Huang, Jian-Qiang Li, Xue Piao
JOURNAL OF CELLULAR AND MOLECULAR MEDICINE
(2020)
Review
Biochemistry & Molecular Biology
Jia Qu, Yan Zhao, Li Zhang, Shu-Bin Cai, Zhong Ming, Chun-Chun Wang
PROTEIN AND PEPTIDE LETTERS
(2020)
Article
Genetics & Heredity
Qiuwen Sun, Xia Li, Muchen Xu, Li Zhang, Haiwei Zuo, Yong Xin, Longzhen Zhang, Ping Gong
FRONTIERS IN GENETICS
(2020)
Review
Biochemical Research Methods
Li Huang, Li Zhang, Xing Chen
Summary: MicroRNAs (miRNAs) are important gene regulators in the pathogenesis of complex diseases and have potential applications in diagnosis and therapy. Accurate discovery of miRNA-disease associations (MDAs) is crucial for effective miRNA therapy. This review revisits miRNA biogenesis, detection techniques, and functions, summarizes recent experimental findings related to common miRNA-associated diseases, introduces updates of relevant databases and web servers, and discusses the contribution of diverse data sources to accurate MDA prediction.
BRIEFINGS IN BIOINFORMATICS
(2022)
Review
Biochemical Research Methods
Li Huang, Li Zhang, Xing Chen
Summary: There is currently no widely accepted strategy for evaluating computational models for microRNA-disease associations (MDAs). The evaluation methods and procedures are often determined on a case-by-case basis and depend on the choices of researchers. This review provides a comprehensive analysis of the evaluation methods used for 29 state-of-the-art models predicting MDAs and recommends a feasible evaluation workflow for future models.
BRIEFINGS IN BIOINFORMATICS
(2022)
Review
Biochemical Research Methods
Li Huang, Li Zhang, Xing Chen
Summary: In this review, 29 state-of-the-art models for microRNA-disease association (MDA) prediction based on model fusion and non-fusion are presented. The new taxonomy demonstrates changes in the algorithmic architecture of models compared to earlier classifications. Furthermore, the progress made in overcoming obstacles to effective MDA prediction since 2017 is discussed, and future research directions are proposed for enhancing model performance.
BRIEFINGS IN BIOINFORMATICS
(2022)