Article
Immunology
Yi-Jiang Song, Yanyang Xu, Chuangzhong Deng, Xiaojun Zhu, Jianchang Fu, Hongmin Chen, Jinchang Lu, Huaiyuan Xu, Guohui Song, Qinglian Tang, Jin Wang
Summary: This study established a new classification system for osteosarcoma based on the gene expression profile of the tumor microenvironment, identifying two molecular subtypes associated with prognosis, S1 (infiltration type) and S2 (escape type). The study found that immune and stromal infiltrates were more abundant in subtype S1 compared to subtype S2, and certain immune checkpoint markers were associated with prognosis in subtype S1. Furthermore, the study confirmed the results using a validation set and assessed correlations between fibroblast percentage and clinical responses to chemotherapy in osteosarcoma primary tumors.
FRONTIERS IN IMMUNOLOGY
(2021)
Article
Immunology
Ji Chen, Mengjiao Sun, Chuqin Chen, Meiyun Kang, Bo Qian, Jing Sun, Xiaopeng Ma, Jianfeng Zhou, Lei Huang, Bin Jiang, Yongjun Fang
Summary: This study constructed a prognostic model related to anoikis resistance (AR) and analyzed the characteristics of hub genes, important pathways, and tumor microenvironment of AR-related subtypes of neuroblastoma (NB), providing help for the clinical diagnosis, treatment, and research of NB.
FRONTIERS IN IMMUNOLOGY
(2023)
Article
Biology
Jingsong Shan, Rui Geng, Yue Zhang, Junting Wei, Jinhui Liu, Jianling Bai
Summary: Cuproptosis, a mechanism of copper-dependent cell death, has the potential to be a new treatment for tumors resistant to conventional therapies. By analyzing changes in cuproptosis-related genes in endometrial cancer cohorts, three distinct gene clusters were identified, with patients in one cluster having higher survival probability and tumor microenvironment cell infiltration levels. A risk scoring system based on these genes can stratify patients into high-risk and low-risk groups, where low-risk patients have better prognosis and immunotherapy efficacy. Furthermore, the gene scores are correlated with other indicators such as copy number variation and tumor mutation load.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Cell Biology
Changwu Wu, Siming Gong, Yingjuan Duan, Chao Deng, Sonja Kallendrusch, Laura Berninghausen, Georg Osterhoff, Nikolas Schopow
Summary: This study aimed to establish a prognostic index (TMEindex) for osteosarcoma based on the tumor microenvironment (TME), to predict patient survival and response to immune checkpoint inhibitor (ICI) therapy. The TMEindex was constructed using the ESTIMATE algorithm and validated in three independent datasets. It was found to be a promising biomarker for prognosis and response to ICI therapy in osteosarcoma.
JOURNAL OF BIOMEDICAL SCIENCE
(2023)
Article
Oncology
Trang Le, Sumeyye Su, Arkadz Kirshtein, Leili Shahriyari
Summary: This study developed a data-driven mathematical model to study the interactions between immune cells and the osteosarcoma microenvironment, finding that the relative abundance of different immune cell populations has varying effects on tumor growth.
Article
Pharmacology & Pharmacy
Wei Liu, Jian Zhang, Tao Xie, Xiaoting Huang, Baiyao Wang, Yunhong Tian, Yawei Yuan
Summary: This study provides a new pan-cancer biomarker that is beneficial for the diagnosis and treatment of cancer, and introduces a new therapeutic target for tumors.
FRONTIERS IN PHARMACOLOGY
(2022)
Article
Oncology
Biao Zhang, Bingqian Huang, Xiaonan Zhang, Shuang Li, Jingyi Zhu, Xu Chen, Huiyi Song, Dong Shang
Summary: This study identified PANoptosis-related molecular subtypes in pancreatic cancer (PC) and established a PANoptosis-related prognostic model to predict patient survival. It was found that PC patients could be classified into two PANoptosis-related patterns, with one pattern having worse prognosis and the other having better prognosis. Additionally, the study revealed the association between PANoptosis subtypes and sensitivity to different therapeutic drugs.
FRONTIERS IN ONCOLOGY
(2023)
Article
Oncology
Yue Zhao, Li Xu, Xinyu Wang, Shuai Niu, Hezhong Chen, ChunGuang Li
Summary: MicroRNAs (miRNAs) and their target genes play a crucial role in tumor progression, especially in esophageal cancer (EC). By analyzing differentially expressed miRNAs and mRNAs, a risk model involving three miRNAs was designed to predict prognosis in EC patients. The target genes of miRNAs were found to be significantly associated with immune infiltration, tumor microenvironment, cancer stemness properties, and tumor mutation burden in EC. Additionally, a pan-cancer analysis revealed that the miRNA target genes affected tumor immunity similarly across different cancers.
MOLECULAR ONCOLOGY
(2021)
Article
Biochemistry & Molecular Biology
Yang Zhang, Chunmiao Wu, Qiang Li, Sheng Fang, Min Hou, Sunfu Zhang, Xingyu Dong
Summary: The study analyzed cohorts of glioma patients and identified two tumor microenvironment (TME)-relevant clusters based on immunological characteristics and overall survival. A 21-gene molecular classifier, TME-related prognostic signature (TPS), was constructed and found to be a superior prognostic predictor for glioma. High-risk glioma patients classified by TPS were associated with enhanced immune infiltration, greater tumor mutation, and worse prognosis. Potential treatment options for different TPS risk subgroups were evaluated in drug databases.
JOURNAL OF BIOCHEMICAL AND MOLECULAR TOXICOLOGY
(2023)
Article
Cell Biology
Lei Fan, Jingtao Ru, Tao Liu, Chao Ma
Summary: This study established a nine-gene signature for predicting the outcome of patients with OS by clustering and gene analysis based on ICI. The signature showed high accuracy in predicting OS patient outcomes and was strongly linked to activated mast cells.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2021)
Article
Genetics & Heredity
Xinyi Peng, Zhili Xu, Yong Guo, Ying Zhu
Summary: This study aims to identify the key necroptosis-related genes in colorectal cancer and explore their role in immune activity and prognosis. Through data analysis, two molecular subgroups with different survival rates were identified, and a risk model with good potential for prognosis prediction in colorectal cancer was established. The results also indicate that necroptosis-related genes are involved in the immune microenvironment of colorectal cancer patients, providing a basis for more individualized treatment.
FRONTIERS IN GENETICS
(2022)
Article
Multidisciplinary Sciences
Yongjun Guan, Man Li, Zhendong Qiu, Junhui Xu, Yichao Zhang, Ning Hu, Xuanzhe Zhang, Wenyi Guo, Jingping Yuan, Qiao Shi, Weixing Wang
Summary: This study conducted a comprehensive analysis of DOK family genes based on their expression profile and their relationship with patient survival, immune infiltration, tumor microenvironment, and drug sensitivity. The results showed that DOK family genes are significantly associated with poor prognosis and tumor immunity in UVM, with DOK2 increasing the sensitivity of chemotherapy drugs and DOK4 reducing the sensitivity of multiple chemotherapy drugs.
JOURNAL OF ADVANCED RESEARCH
(2022)
Article
Oncology
Hai Hu, Yuesong Yin, Binbin Jiang, Zhennan Feng, Ting Cai, Song Wu
Summary: This study investigated the expression patterns, roles, and prognostic and predictive capabilities of cuproptosis regulating genes in osteosarcoma. The study confirmed the activation of cuproptosis genes and their association with tumor-promoting pathways. A five-gene prognostic model was established for predicting prognosis and chemoresistance.
FRONTIERS IN ONCOLOGY
(2023)
Article
Oncology
Gaoran Xu, Chengxin Li, Ziyang Di, Yalong Yang, Leilei Liang, Qianqian Yuan, Qian Yang, Xingxing Dong, Siguang Xu, Gaosong Wu
Summary: In this study, an 11-lncRNA risk score signature based on m5C regulators was constructed, which reliably predicted the prognosis of breast cancer patients and was associated with immune cell infiltration and other factors.
Article
Pharmacology & Pharmacy
Zili Lin, Ziyi Wu, Yuhao Yuan, Wei Zhong, Wei Luo
Summary: This study reveals the crucial role of m7G-related genes in the pathogenesis of osteosarcoma (OS) and establishes a comprehensive risk model incorporating eight signatures. The study also identifies AZD2014 as a potential therapeutic candidate for OS and confirms CYFIP1 and EIF4A1 as independent prognostic risk factors.
FRONTIERS IN PHARMACOLOGY
(2023)
Article
Genetics & Heredity
Lei-Ming Hu, Xue-Hai Ou, Shao-Yan Shi
Summary: GPSM2 is highly expressed in most cancers, leading to decreased overall survival and disease-free survival in patients. Phosphorylation analysis suggests a complex process involved in tumor development with GPSM2. The role of GPSM2 in tumors may be associated with cellular immune infiltration.
FRONTIERS IN GENETICS
(2022)
Article
Biotechnology & Applied Microbiology
Shaoyan Shi, Yunshan Guo, Qian Wang, Yansheng Huang
Summary: The present study constructed an artificial neural network (ANN) model based on characteristic genes associated with osteosarcoma (OS) to accurately predict OS patients. The study validated the effectiveness of the CDEGs-based ANN model in predicting OS patients, which might facilitate early diagnosis and treatment of OS. The study also explored immune cell infiltration and the expression of characteristic DEGs in OS tissues, providing insights into the biological processes and potential targets for OS treatment.
JOURNAL OF GENE MEDICINE
(2023)
Review
Nanoscience & Nanotechnology
Shaoyan Shi, Xuehai Ou, Deliang Cheng
Summary: This comprehensive review explores the potential of nanofiber scaffolds in enhancing peripheral nerve regeneration. It covers various aspects including fabrication methods, scaffold-cell interactions, controlled release of bioactive agents, clinical translation prospects, emerging trends, and considerations for biocompatibility and safety. By elucidating the structural attributes and functional capacities of nanofiber scaffolds, it offers a prospective and effective strategy for the treatment of peripheral nerve injury.
INTERNATIONAL JOURNAL OF NANOMEDICINE
(2023)