Article
Oncology
Cheng Yan, Qingling Liu, Ruoling Jia
Summary: Using a total of 222 autophagy-related genes, a survival model based on six genes (CDKN1A, CTSD, CTSL, EIF4EBP1, TMEM74, and VAMP3) was established to predict the prognosis of TNBC patients. The model was validated using independent cohorts and demonstrated accuracy in survival prediction. The study also identified EIF4EBP1 as a potential driver of proliferation and migration in TNBC cell lines, suggesting new therapeutic targets for the disease.
FRONTIERS IN ONCOLOGY
(2022)
Review
Cell Biology
Xiaoying Li, Feng Jin, Yang Li
Summary: In this study, autophagy-related lncRNAs were identified in breast cancer and a prognostic risk model consisting of 11 autophagy-related lncRNAs was developed. The risk model was validated as an independent prognostic factor for breast cancer patients, and the low-risk and high-risk groups exhibited different autophagy and oncogenic statuses.
JOURNAL OF CELLULAR AND MOLECULAR MEDICINE
(2021)
Article
Immunology
Fan Yang, Jingwei Kong, Yuhan Zong, Zhuqing Li, Mingsheng Lyu, Wanyang Li, Wenle Li, Haoyue Zhu, Shunqi Chen, Xiaoshan Zhao, Ji Wang
Summary: This study identified differentially expressed autophagy-related genes and subtypes in asthma patients, showing associations with asthma control, airway inflammation, and immune cell infiltration. A risk prediction model based on autophagy-related genes and asthma control was established and validated, indicating the clinical value of autophagy in the treatment response and prognosis of asthma.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Genetics & Heredity
Chen Chen, Junxiao Wang, Chao Dong, David Lim, Zhihui Feng
Summary: This study aimed to construct a risk model to predict the survival and prognosis of breast cancer patients. The risk model based on cGAS-STING-related genes showed significant correlations with tumor-infiltrating immune cells, immune checkpoints, and the response to immunotherapy. The risk model provides a new credible risk stratification method for improving the clinical prognostic assessment of breast cancer.
FRONTIERS IN GENETICS
(2023)
Article
Oncology
Haibi Zhao, Chengzhi Huang, Yuwen Luo, Xiaoya Yao, Yong Hu, Muqing Wang, Xin Chen, Jun Zeng, Weixian Hu, Junjiang Wang, Rongjiang Li, Xueqing Yao
Summary: This study investigates the prognostic value of autophagy-related genes in colorectal cancer, identifying key prognostic genes and constructing a predictive model. The results suggest that these genes can serve as independent prognostic indicators with potential clinical applications.
FRONTIERS IN ONCOLOGY
(2021)
Article
Cell Biology
Yongfeng Wang, Kaili Lin, Tianchun Xu, Liuli Wang, Liangyin Fu, Guangming Zhang, Jing Ai, Yajun Jiao, Rongrong Zhu, Xiaoyong Han, Hui Cai
Summary: The study developed a risk signature based on 6 autophagy-related genes that can independently predict prognosis in colon cancer patients and reflect the overall immune response intensity, indicating a potential immunosuppressive microenvironment.
Article
Genetics & Heredity
Minxin He, Mingrui Li, Yibing Guan, Ziyan Wan, Juanhua Tian, Fangshi Xu, Haibin Zhou, Mei Gao, Hang Bi, Tie Chong
Summary: In this study, autophagy related genes (ATGs) were analyzed in clear cell renal cell carcinoma (ccRCC) patients to find a new prognostic risk score. Through various statistical analyses and functional enrichment analysis, 7 genes (BIRC5, CAPS, CLDN7, CLVS1, GMIP, IFI16, and TCIRG1) were identified as components of the risk score. The risk score showed the ability to predict the prognosis of ccRCC patients and can be used as a tool to identify novel prognostic markers. Further experiments are needed to validate its practicality.
FRONTIERS IN GENETICS
(2022)
Article
Immunology
Yi Liu, Jiandong Wang, Mengxi Jiang
Summary: The relationship between copper homeostasis and breast cancer development is complex. Copper elimination and overload both have therapeutic potential in cancer treatment. This study analyzed the impact of copper-related genes on breast cancer prognosis, immune infiltration, drug sensitivity, and metabolic profile. Immunohistochemistry staining showed high expression of copper-related genes in breast cancer samples, and copper distribution was observed in breast cancer tissue.
FRONTIERS IN IMMUNOLOGY
(2023)
Article
Genetics & Heredity
Xiaolong Liu, Bin Ma, Mali Chen, Yaqing Zhang, Zhen Ma, Hao Chen
Summary: This study investigated the chemotherapy susceptibility of gastric cancer patients by combining autophagy-related genes. Nine genes related to chemotherapy prognosis were identified, and a model accurately predicted the outcomes of chemotherapy. This research provides better individualized treatment regimens for clinical practice.
FRONTIERS IN GENETICS
(2021)
Article
Medicine, General & Internal
Zhongxiang Liu, Koudong Zhang, Zhangyan Zhao, Zhu Qin, Haicheng Tang
Summary: This study aims to screen prognosis-related autophagy genes for female lung adenocarcinoma using transcriptome data and clinical data from the TCGA database. The results showed that the identified autophagy genes were significantly associated with prognosis and could potentially serve as targets for future treatment.
Article
Immunology
Jingyan Gao, Fei Lu, Jiawen Yan, Run Wang, Yaoxiong Xia, Li Wang, Lan Li, Li Chang, Wenhui Li
Summary: This study investigated the prognostic role of radiotherapy-related autophagy genes (RRAGs) in lung adenocarcinoma (LUAD) and identified three biomarkers. The findings enhanced the understanding of the relationship between radiotherapy, autophagy, and prognosis in LUAD and provided potential therapeutic targets for LUAD patients.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Cell Biology
Yuchang Fei, Junyi Xu, Liping Ge, Luting Chen, Huan Yu, Lei Pan, Peifeng Chen
Summary: A bioinformatics analysis established a prognostic model for LUAD based on multiple autophagy-related genes, with ITGB1 and EIF2AK3 identified as key genes associated with prognosis. The risk score was shown to be an independent predictor of prognosis in LUAD patients, with low-risk patients having significantly better outcomes. Real-time qPCR confirmed the expression patterns of EIF2AK3 and ITGB1 in LUAD cell lines, supporting their potential as prognostic markers.
Article
Oncology
Lin Chen, Yuxiang Dong, Yitong Pan, Yuhan Zhang, Ping Liu, Junyi Wang, Chen Chen, Jianing Lu, Yun Yu, Rong Deng
Summary: By analyzing the expression of immune genes in breast cancer patients, a risk score model containing 15 immune genes was established, which has potential value for prognostic prediction of breast cancer patients. Additionally, the immune risk signature was proven to be an independent prognostic factor for breast cancer patients.
Article
Oncology
Fan Wang, Linghui Fang, Bifei Fu, Chen Fan
Summary: In this study, a 9-ARGs model was constructed using public database and analyzed by LASSO and Cox analyses. The model showed good accuracy and prediction ability in evaluating prognoses of HER2+ breast cancer patients. A nomogram combining clinical factors and risk scores was also constructed for survival evaluation. Correlation analysis revealed high tumor mutation and poor tumor immune infiltration in the high-risk group.
Article
Multidisciplinary Sciences
Qiong Yang, Kewang Sun, Wenjie Xia, Ying Li, Miaochun Zhong, Kefeng Lei
Summary: An eight-gene autophagic signature model was developed in this study to predict the survival risk for triple-negative breast cancer (TNBC) patients, and autophagy genes associated with clinical stage of TNBC were identified.