Article
Genetics & Heredity
Hongmin Zhou, Tiancheng Xie, Yuchen Gao, Xiangcheng Zhan, Yunze Dong, Ding Liu, Yunfei Xu
Summary: A prognostic model based on DNA methylation was established to predict the overall survival of patients with clear cell renal cell carcinoma (ccRCC). Through the analysis of methylation-driven genes and the incorporation of clinical parameters, a prognostic nomogram was developed to predict survival rates at different time points, and its accuracy was validated using a separate cohort. This model provides insights into the epigenetic mechanism of ccRCC and can guide individualized treatment.
FRONTIERS IN GENETICS
(2022)
Article
Cell Biology
Li Zhang, Zhixiong Su, Fuyuan Hong, Lei Wang
Summary: This study established a methylation-regulating gene prognostic signature for predicting the prognosis of clear cell renal cell carcinoma (ccRCC) patients. By analyzing gene expression data, several genes associated with prognosis were identified, and a prognostic signature comprising three genes was established. This prognostic signature can predict overall survival and is associated with the tumor immune microenvironment and responses to checkpoint inhibitors.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2022)
Article
Oncology
Cheng-Jian Ji, Xi-Yi Wei, Liang-Yu Yao, Yi-Chun Wang, Rong Cong, Ning-Hong Song
Summary: This study aims to explore the relationship between metabolic genes and prognosis, immune microenvironment, and tumor development of clear cell renal cell carcinoma (ccRCC). A risk model based on 4 metabolic genes was established to accurately predict the prognosis and immune microenvironment of ccRCCs. In addition, the role of PAFAH2 in suppressing tumor cell proliferation and migration in ccRCC was determined. This research may provide new insights into the prognosis and treatment management of ccRCC patients.
AMERICAN JOURNAL OF CANCER RESEARCH
(2023)
Article
Cell Biology
Wenqing Lu, Xiaofang Che, Xiujuan Qu, Chunlei Zheng, Xianghong Yang, Bowen Bao, Zhi Li, Duo Wang, Yue Jin, Yizhe Wang, Jiawen Xiao, Jianfei Qi, Yunpeng Liu
Summary: This study comprehensively analyzed the role of succinylation regulators in ccRCC and suggested their specific and critical impact on tumor prognosis. By clustering patients based on the expression patterns of regulators, distinct clusters with different survival outcomes and clinicopathological features were identified, indicating their potential mechanisms in promoting malignant progression. The study provided new insights into the understanding of succinylation modification and its clinical implications in ccRCC treatments.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2021)
Article
Biochemistry & Molecular Biology
Bin Zheng, Fang Xie, Fajuan Cheng, Jianwei Wang, Zhongshun Yao, Wei He, Zhihong Niu
Summary: This study comprehensively assessed the tumor microenvironment of kidney cancer, identified two immune-related hub genes - IGLL5 and IL2RA, and validated their clinical application value in ccRCC and pRCC. Drug response was also predicted based on selected genes, revealing novel drug candidates for RCC treatment.
FRONTIERS IN MOLECULAR BIOSCIENCES
(2021)
Article
Cell Biology
Fan Zhang, Junyu Lin, Dechao Feng, Jiayu Liang, Yiping Lu, Zhihong Liu, Xianding Wang
Summary: This study explored the correlation between cuprotosis and clear cell renal cell carcinoma (ccRCC) and developed a cuprotosis-related signature to predict the prognosis of patients with ccRCC. The signature risk score was significantly associated with tumor stage, histological grade, and immune cell infiltrates in ccRCC.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2022)
Article
Biotechnology & Applied Microbiology
Qiong Deng, Ye Du, Zhu Wang, Yeda Chen, Jieyan Wang, Hui Liang, Du Zhang
Summary: This study aimed to establish a DNAm-driven gene-based prognostic model for ccRCC. RRBS was performed on ccRCC patients' DNA extracts to screen candidate CpG sites. The study identified the role of hypermethylation in ccRCC and discovered potential biomarkers for early diagnosis and prognosis evaluation.
Article
Medicine, General & Internal
Qiangmin Qiu, Yanze Li, Ye Zhang, Yanguang Hou, Juncheng Hu, Lei Wang, Zhiyuan Chen, Yourong Lei, Yang Du, Xiuheng Liu
Summary: In this study, a risk model based on necroptosis-related genes (NRGs) was constructed using COX regression analysis to predict the prognosis of patients with clear cell renal cell carcinoma (ccRCC). The results showed that patients in the high-risk group had shorter survival time and the predictive model had high accuracy. The study provides new insights into the biological mechanisms of necroptosis in ccRCC patients.
FRONTIERS IN MEDICINE
(2022)
Article
Cell Biology
Guodong Fang, Xudan Wang
Summary: This study identified nine genes associated with clinical traits and prognosis in clear cell renal cell carcinoma (ccRCC). A risk signature constructed by these genes could predict patient survival probabilities. Patients in the high-risk group showed a higher response rate to immunotherapy and this may be related to dendritic cell-mediated immunosuppression.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2022)
Article
Cell Biology
Xuejie Yang, Cheng Mei, Hui Nie, Jianhua Zhou, Chunlin Ou, Xiaoyun He
Summary: An integrated study using multiple databases was conducted to investigate the diagnostic and prognostic biomarkers of kidney renal clear cell carcinoma (KIRC). The GATA family members were found to have potential as prognostic biomarkers and therapeutic targets for KIRC. The expression profiles of GATA2/3/6 were significantly lower in KIRC samples compared to normal samples, and their levels were closely related to KIRC's pathological grades, clinical stages, and lymph node metastases.
Article
Genetics & Heredity
Wuping Yang, Lei Li, Kenan Zhang, Kaifang Ma, Yanqing Gong, Jingcheng Zhou, Kan Gong
Summary: The study identified the clinical roles of CLDN10 in clear cell renal cell carcinoma (ccRCC), showing that reduced expression of CLDN10 is associated with metastasis and poor prognosis, while elevated expression is independently correlated with longer overall survival and disease-free survival. Furthermore, CLDN10 expression is negatively associated with DNA methylation levels and immune cell infiltration.
Article
Oncology
Qianwei Xing, Tengyue Zeng, Shouyong Liu, Hong Cheng, Limin Ma, Yi Wang
Summary: A novel signature based on 10 prognostic GRGs was successfully established and externally and internally validated for predicting OS of ccRCC, assisting clinicians in better predicting patients' survival.
Article
Genetics & Heredity
You Zuo, Shuai Fu, Zhongwei Zhao, Zeyan Li, Yijian Wu, Tienan Qi, Jianguo Zheng, Qinglong Du, Zhonghua Xu, Nengwang Yu
Summary: This study constructed a sarcomatoid-associated gene risk index (SAGRI) to predict the prognosis of renal cell carcinoma and found that SAGRI has a high predictive power. The study also suggested that the SAGRI-HIGH subgroup may benefit from immunotherapy.
FRONTIERS IN GENETICS
(2022)
Article
Pharmacology & Pharmacy
Ganggang Wang, Zheng Wang, Haiquan Lu, Zhiqun Zhao, Liqiang Guo, Feng Kong, Aizhen Wang, Shengtian Zhao
Summary: FRAS1/FREM family members showed significantly decreased expression in KIRC tissues, which was associated with advanced clinicopathological parameters and poor prognosis. They could potentially exert anti-tumor effects by regulating immune infiltrating cells and participating in oncogenic signaling pathways and metabolic pathways. High expression of FRAS1 and FREM2 could serve as reliable predictors of targeted therapeutic drug response.
FRONTIERS IN PHARMACOLOGY
(2022)
Article
Genetics & Heredity
Tao Zhou, Weikang Chen, Zhigang Wu, Jian Cai, Chaofeng Zhou
Summary: This study constructed a risk model using eight basement membrane-related genes as prognostic indicators for clear cell renal cell carcinoma (ccRCC), and demonstrated their independent role in ccRCC progression. The model showed promising predictive ability for prognosis and therapeutic response.
FRONTIERS IN GENETICS
(2022)
Article
Multidisciplinary Sciences
Wanpeng Feng, Xiaohui He, Yipeng Zhang, Lihua Fang, Sergey Samsonov, Peizhen Zhang
Summary: The Menyuan earthquake of magnitude 6.6 occurred on January 8th, 2022 in the Menyuan Basin, Qinghai. It was followed by over 600 aftershocks, with the largest having a magnitude of 5.1. The mainshock and most of the aftershocks were strike-slip events, and the seismic data and geodetic analysis provided insights into the characteristics of these seismic events.
CHINESE SCIENCE BULLETIN-CHINESE
(2023)
Article
Computer Science, Interdisciplinary Applications
Yinyu Song, Lihua Fang, Qianwei Liu, Jiahui Gong, Binhui Guo
Summary: This study investigated the wavefront aberrations induced by biomechanical effects after SMILE surgery. 3D finite element models of the human eye were used to calculate the displacement of the cornea and convert it into wavefront aberrations. The results showed noticeable wavefront aberrations, mainly spherical aberration, y-Trefoil, and x-Tetrafoil, from the anterior corneal surface. The aberrations were affected by the corrected diopter and intraocular pressure (IOP). The posterior corneal surface had smaller induced aberrations, with some compensating each other. The incision size had a significant impact on primary x-astigmatism and x-Trefoil from the anterior corneal surface. The biomechanical effects increased residual wavefront aberrations after SMILE surgery.
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING
(2023)
Article
Geosciences, Multidisciplinary
Weilai Wang, Guangyao Cai, Jianping Wu, Lihua Fang
Summary: The distribution of lithosphere and asthenosphere in the study area was investigated through joint inversion of receiver functions and surface waves. The results showed the presence of low-velocity bodies in the lower crust of the Qinling tectonic belt, but they were not connected and may not serve as a channel for material extrusion from the NE Tibetan Plateau. The lithosphere beneath the Sichuan Basin and Ordos Basin was relatively thick, while it was severely destructed and restructured in the east of the study area. The asthenosphere beneath the Qinling tectonic belt was observed to have material movement in an approximate east-west direction, indicating its potential role as an important channel for material extrusion in the NE Tibetan Plateau.
FRONTIERS IN EARTH SCIENCE
(2023)
Article
Geosciences, Multidisciplinary
Boren Li, Liping Fan, Ce Jiang, Shirong Liao, Lihua Fang
Summary: In this paper, a new P-wave detection model called CSESnet is proposed by modifying the UNet++ network structure and using a dataset consisting of 490,000 event waveform data and 78,000 noisy data from the China Seismic Experimental Site (CSES). The model achieves recall, precision, and F1 scores of 94.6%, 85.4%, and 89.7%, respectively. Tests conducted in the Beijing Capital Circle (BCC) show that CSESnet has good generalization and little decrease in performance. Additionally, the model is also able to accurately predict the P-wave arrivals and process strong motion data of large earthquakes, as demonstrated in the Luxian M6.0 earthquake test. The findings suggest that CSESnet provides a new detection model to enhance earthquake detection capability in CSES.
FRONTIERS IN EARTH SCIENCE
(2023)
Article
Microbiology
Chijun Zhao, Xinglin Jia, Yanying Pan, Simeng Liao, Shuo Zhang, Chunxiao Ji, Guangwei Kuang, Xin Wu, Quan Liu, Yulong Tang, Lihua Fang
Summary: This study demonstrates the important role of TrxA in the pathogenesis of Streptococcus suis serotype 2 (SS2). It contributes to the growth, stress adaptation, and survival of the pathogen in host cells. This research is of great significance for understanding the pathogenic mechanism of SS2.
JOURNAL OF MICROBIOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Shuai Li, Lihua Fang, Zhuowei Xiao, Yijian Zhou, Shirong Liao, Liping Fan
Summary: This paper proposes an automatic workflow called FocMech-Flow for identifying P-wave first-motion polarity and focal mechanism inversion using deep learning, and applies it to the 2021 Yangbi earthquake sequence. The results show that the deep learning method can reliably determine P-wave first-motion polarity, and FocMech-Flow can obtain a large number of focal mechanism solutions from small to moderate earthquakes, promising for fine-scale stress inversion applications.
APPLIED SCIENCES-BASEL
(2023)
Article
Geochemistry & Geophysics
Chuang Cheng, Dun Wang, Qiang Yao, Lihua Fang, Shiqing Xu, Zihao Huang, Tonghui Liu, Zhifeng Wang, Xiaolin Huang
Summary: We analyzed the Mw 7.3 Madoi, China earthquake sequence that occurred along the low-slip-rate Kunlun Mountain Pass-Jiangcuo Fault (KMPJF) using local and teleseismic seismic data. The relocated earthquakes revealed a complex fault with a length of approximately 170 km, bifurcated ends, and varying dip angles. Backprojection analyses of the mainshock rupture process showed bilateral propagation with maximum speeds of about 4.0 km/s. The spatial correlation between the fast supershear rupture speeds and the geometric complexities of the KMPJF suggested that these transient ruptures are influenced by the varying geometry of the immature fault. Our findings highlight the importance of considering potential supershear ruptures along immature strike-slip faults in earthquake hazard assessment.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2023)
Article
Geosciences, Multidisciplinary
Jing Liu, Jianping Wu, Lihua Fang, Kai Chang, Ting Yang, Changzai Wang, Huaifu Wang, Shuang Wang
Summary: In this study, high-resolution short-period Rayleigh wave azimuthally anisotropic phase velocity maps were obtained for the southeastern Tibetan Plateau using ambient noise data recorded by 401 broadband stations. These maps provide fresh clues for understanding the crust-mantle velocity structure, deformation mechanism, and geotectonic evolution in the region. The anisotropy of the upper crust of the middle part of the Red River fault zone is found to be related to the regional tectonic stress field. The Shizong-Mile fault zone may serve as the western boundary between the Yangtze block and the Cathaysia block.
FRONTIERS IN EARTH SCIENCE
(2023)
Editorial Material
Geochemistry & Geophysics
Lihua Fang, Zefeng Li
EARTHQUAKE SCIENCE
(2023)
Article
Geochemistry & Geophysics
Ming Zhao, Zhuowei Xiao, Shi Chen, Lihua Fang
Summary: In recent years, the potential of artificial intelligence technology in seismic signal recognition has been recognized, leading to a new wave of research. The construction of a large-scale, high-quality labeled dataset is crucial for the development and application of artificial intelligence in seismology. In this study, a dataset called DiTing was constructed based on seismic cataloging reports from the China Earthquake Networks Center, which can serve as a benchmark for machine learning model development and data-driven seismological research.
EARTHQUAKE SCIENCE
(2023)
Article
Geochemistry & Geophysics
Changzai Wang, Jianping Wu, Lihua Fang, Yaning Liu, Jing Liu, Yan Cai, Poren Li
Summary: The lower reaches of the Jinsha River, with its high mountains, deep valleys, and swift currents, has abundant hydropower resources. However, after the impoundment of reservoirs, seismic activity significantly increased. Therefore, studying the P-wave velocity structure and earthquake locations in this area is crucial for earthquake prevention and disaster reduction efforts. Using seismic data from various sources, this study revealed a complex lateral P-wave velocity structure in the Jinsha River basin, with seismic events mainly concentrated in the transition zones between high- and low-velocity anomalies. The Xiluodu and Baihetan reservoir areas were found to have particularly intense seismic events.
EARTHQUAKE SCIENCE
(2023)
Article
Geochemistry & Geophysics
Jun Zhu, Zefeng Li, Lihua Fang
Summary: To address the performance drop of current popular deep learning seismic phase pickers in China, we have developed a unified set of customized pickers for different levels of use. A base picker trained with the DiTing dataset using the same U-Net architecture as PhaseNet outperforms the original model and is suitable for the entire country. Fine-tuning of the base picker using subsets of the DiTing data enables better adaptation to different regions. We provide specific pickers for major tectonic blocks, provincial-level administrative regions, the Capital area, and the China Seismic Experimental Site, all showing improved performance in their respective regions.
EARTHQUAKE SCIENCE
(2023)
Article
Geosciences, Multidisciplinary
Ying Liu, Ziye Yu, Zhiqi Zhang, Huajian Yao, Weitao Wang, Haijiang Zhang, Hongjian Fang, Lihua Fang
Summary: The Sichuan-Yunnan area, located at the southeastern margin of the Tibetan Plateau, is prone to strong seismic activities due to the presence of deep and large faults. This study presents a newly developed three-dimensional velocity model for the region, based on seismic observations and advanced imaging techniques, which is crucial for earthquake research.
SCIENCE CHINA-EARTH SCIENCES
(2023)
Article
Geochemistry & Geophysics
Zhang Zhe, Fang LiHua, Xu LiSheng
Summary: An M(s)6.8 earthquake occurred in Luding, Sichuan Province on September 5, 2022. The analysis of phase data and waveform data revealed that the aftershocks were clustered around the epicenter and distributed in swarms. The source characteristics indicated a pure strike-slip event with a rupture area composed of two patches and a maximum slip of 1.4 m near the initial point. The whole duration time was about 20 s and the energy was released in two periods. The predominant rupture direction was consistent with the faulting strike.
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
(2023)
Article
Geochemistry & Geophysics
Yu Qiu, Lihua Fang, Jing Liu, Liping Fan, Zuoyong Lue, Guangyao Cai, Shiguang Wang
Summary: This study presents a 3D S-wave velocity model around three major fault zones based on Rayleigh wave phase velocity dispersion curves obtained from 378 broadband stations. The results clearly reveal two low-velocity zones and one high-velocity zone. The low-velocity zone on the western side is related to the eastward flow of crustal material and left lateral strike-slip faults, while the low-velocity anomaly along the Daliangshan fault and Xiaojiang fault is caused by the shear heating of the faults and upwelling of mantle material. This research is important for understanding the uplift of Gongga Shan and the accumulation of crustal material in the study region.
PURE AND APPLIED GEOPHYSICS
(2023)
