Article
Endocrinology & Metabolism
Y. Min, Yang Feng, Haojun Luo, Daixing Hu, Xiaoyuan Wei, Danshuang He, Guobing Yin, Shenghao Fan
Summary: This study establishes an autophagy-related 4-gene signature that can effectively stratify high-risk and low-risk breast cancer patients for early relapse. Combined with clinicopathological variables, the signature could significantly help oncologists tailor more efficient treatment strategies for breast cancer patients.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Cell Biology
Shaobo Mo, Weixing Dai, Zheng Zhou, Ruiqi Gu, Yaqi Li, Wenqiang Xiang, Lingyu Han, Long Zhang, Renjie Wang, Guoxiang Cai, Sanjun Cai, Lu Gan, Qingguo Li
Summary: The study identified that the epithelial-mesenchymal transition (EMT) signaling pathway is closely related to lymph node metastasis (LNM) in colorectal cancer (CRC). The discovered EMT-related gene signature accurately sorted high- and low-risk CRC patients. Further functional analysis and clinical evaluation indicated that these genes may play crucial roles in the proliferation and metastasis of CRC.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2021)
Article
Biochemistry & Molecular Biology
Du Cai, Xin Duan, Wei Wang, Ze-Ping Huang, Qiqi Zhu, Min-Er Zhong, Min-Yi Lv, Cheng-Hang Li, Wei-Bin Kou, Xiao-Jian Wu, Feng Gao
Summary: This study developed and validated a radiomics-based nomogram for predicting the prognosis of colorectal cancer. The radiomics score was found to be an independent prognostic factor significantly associated with disease-free survival, and the nomogram incorporating radiomics features performed better than TNM stage alone. Functional and correlation analysis revealed associations between radiomic signatures and metabolism related pathways.
FRONTIERS IN MOLECULAR BIOSCIENCES
(2021)
Article
Genetics & Heredity
Danfeng Li, Xiaosheng Lin, Binlie Chen, Zhiyan Ma, Yongming Zeng, Huaiming Wang
Summary: This study identified an eleven-EMT-related lncRNA risk signature for colorectal cancer patients, which could predict prognosis and immunotherapeutic response. The risk signature was significantly associated with overall survival and immune-related phenotype, as confirmed by functional characterization and immune cell infiltration analysis. The findings highlight the potential value of this signature in guiding personalized treatment strategies for CRC patients.
FRONTIERS IN GENETICS
(2021)
Article
Genetics & Heredity
Xu-tao Lin, Qiu-ning Wu, Si Qin, De-jun Fan, Min-yi Lv, Xi Chen, Jia-wei Cai, Jing-rong Weng, Yi-feng Zou, Yu-ming Rong, Feng Gao
Summary: This study aimed to develop a prognostic autophagy-related gene signature for predicting disease-free survival in early-stage CRC patients, and revealed a potential relationship between autophagy process, immune/inflammatory response, and tumorigenesis.
FRONTIERS IN GENETICS
(2021)
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
Medicine, Research & Experimental
Dagui Lin, Wenhua Fan, Rongxin Zhang, Enen Zhao, Pansong Li, Wenhao Zhou, Jianhong Peng, Liren Li
Summary: Metabolic reprogramming is associated with cancer occurrence and progression in the tumor immune microenvironment. We identified two metabolism-related subtypes of CRC and developed a metabolic risk score (MRS) as a robust prognostic marker for survival prediction in CRC patients.
JOURNAL OF TRANSLATIONAL MEDICINE
(2021)
Article
Oncology
Xin Yan, Hua-Hui Wu, Zhao Chen, Guo-Wei Du, Xiao-Jie Bai, Kurerban Tuoheti, Tong-Zu Liu
Summary: This study identified three potential prognostic biomarkers in bladder cancer and established an autophagy-related risk signature for the first time. The signature showed strong potential for improving prognosis prediction in bladder cancer patients, as validated by multiple datasets. The nomogram based on this signature demonstrated high accuracy for overall survival probability prediction, indicating its potential for more effective prognosis prediction in clinical settings.
FRONTIERS IN ONCOLOGY
(2021)
Article
Genetics & Heredity
Cheng-Hang Li, Du Cai, Min-Er Zhong, Min-Yi Lv, Ze-Ping Huang, Qiqi Zhu, Chuling Hu, Haoning Qi, Xiaojian Wu, Feng Gao
Summary: This study aims to use deep learning to predict the prognosis of colorectal cancer (CRC) patients based on preoperative CT images and explore the underlying biological explanations. A novel Multi-Size Convolutional Neural Network (MSCNN) was proposed to predict the risk of CRC recurrence with CT signature. The prognostic performance of CT signature was assessed using Kaplan-Meier curve. Integration analysis revealed molecular characteristics of CRC tumors learned by MSCNN in radiographic imaging.
FRONTIERS IN GENETICS
(2022)
Article
Medicine, General & Internal
Liangbin Wang, Xinlei Jiang, Xingguo Zhang, Peng Shu
Summary: This study proposed and validated an autophagy-based signature for colorectal cancer, which showed promising prognostic capabilities. Network analysis of 6 core genes revealed that patients in the high-risk group had unfavorable prognosis. The autophagy-based signature demonstrated higher prognostic power compared to commercialized multigene signatures.
Article
Oncology
Jian Chen, Yuntian Li, Xinghua Han, Yueyin Pan, Xiaojun Qian
Summary: By analyzing the RNA-sequence profiles of autophagy-related genes, this study identified 24 genes most relevant to low-grade glioma prognosis, effectively dividing patients into low-risk and high-risk groups. The prognostic accuracy was confirmed through time-dependent ROC analysis, and a nomogram was constructed to meet individual needs.
Article
Medicine, General & Internal
Zhiqiang Cai, Fuxiang Zhou
Summary: In this study, a novel prognostic model based on ANOIKIS- and immune-related genes in colorectal cancer (CRC) was developed. The prognosis of CRC patients was comprehensively analyzed, and ANOIKIS-related genes and immune-related genes were identified. The prognostic model showed a stable performance in predicting survival rates of CRC patients, and it could be used as an independent indicator for CRC prognosis prediction.
Article
Genetics & Heredity
Wenqi Zhang, Daoquan Fang, Shuhan Li, Xiaodong Bao, Lei Jiang, Xuecheng Sun
Summary: A prognostic model based on ferroptosis-related lncRNAs was developed to predict survival probability of CRC patients at 1-, 3-, and 5-years. The model showed good accuracy and could serve as an independent risk factor for CRC. Functional enrichment analysis revealed potential impacts of prognostic DE-FLs on bile secretion in CRC.
FRONTIERS IN GENETICS
(2021)
Article
Immunology
Jie Wang, Wei Xia, Yujie Huang, Haoran Li, Yuchen Tang, Ye Li, Bin Yi, Zixiang Zhang, Jian Yang, Zhifei Cao, Jian Zhou
Summary: In this study, a novel risk score model and nomogram were constructed for gastric cancer (GC), showing satisfactory predictive performance. The study also confirmed the association between vascular mimicry (VM) and immune infiltration, and identified SERPINF1 and TFPI2 as immunologic and prognostic biomarkers related to VM in GC.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Genetics & Heredity
Xiaoping Li, Jishang Chen, Qihe Yu, Hui Huang, Zhuangsheng Liu, Chengxing Wang, Yaoming He, Xin Zhang, Weiwen Li, Chao Li, Jinglin Zhao, Wansheng Long
Summary: Through the analysis of transcriptome data and clinical information from breast cancer patients, 18 autophagy-related lncRNAs were identified, with a risk scoring model dividing patients into high-risk and low-risk groups showing better overall survival for the low-risk group. The established nomogram model, including age, tumor stage, TNM stage, and risk score, demonstrated excellent predictive power, with gene set enrichment analysis indicating these lncRNAs may be involved in various cellular processes.
FRONTIERS IN GENETICS
(2021)