Article
Oncology
Junwei Xiang, Yaodong He, Yunshan Li, Kexuan Wu, Mengxiang Cheng, Yuanyin Wang, Ran Chen
Summary: In this study, a risk assessment model consisting of 14 hrlncRNA pairs was constructed for predicting and guiding the prognosis and treatment of HNSCC patients. High-risk patients had unfavorable prognosis and significant differences in TMB and tumor immune infiltration compared to the low-risk group. The model has potential clinical applications.
Article
Biotechnology & Applied Microbiology
Jian Wang, Qinjiang Bian, Jialin Liu, Adili Moming
Summary: This study established an lncRNA signature related to the overall survival outcomes of HNSCC patients, identifying FOXD2-AS1 as an oncogene in HNSCC. In vitro experiments demonstrated that FOXD2-AS1 plays a significant biological role in HNSCC cell proliferation, invasion, and migration.
Article
Oncology
Binghai Chen, Di Dong, Qin Yao, Yuanzhang Zou, Wei Hu
Summary: A total of 367 differentially expressed cancer-related lncRNAs were screened, and 26 prognostic cancer-related lncRNAs were identified in pRCC. Among them, ten lncRNAs were independently associated with prognosis of pRCC and were incorporated into a prognostic risk model. The lncRNA RP11-63A11.1 acted as a cancer suppressor in pRCC and may serve as a potential therapeutic target for treating pRCC.
CANCER CELL INTERNATIONAL
(2021)
Article
Biotechnology & Applied Microbiology
Hui-Ching Lau, Yujie Shen, Qiang Huang, Hui-Ying Huang, Liang Zhou
Summary: Research identified and validated two novel glycolytic gene signatures, DDIT4 and PLOD2, as potential independent risk factors for predicting overall survival in laryngeal squamous cell carcinoma (LSCC). These findings may provide a therapeutic target and survival prediction marker for LSCC patients.
Article
Obstetrics & Gynecology
Xuefeng Lv, Lu Liu, Pengxiang Li, Yingying Yuan, Mengle Peng, Huifang Jin, Dongchun Qin
Summary: This study used gene expression data and clinical data to construct a risk model for predicting the prognosis of cervical squamous cell carcinoma patients. The risk model was found to be associated with immune infiltration status, chemotherapeutic sensitivity, and immune checkpoint proteins. It can be used to guide clinical treatment plans.
REPRODUCTIVE SCIENCES
(2022)
Article
Oncology
Cheng Zhang, Bin Shen, Xinwei Chen, Shang Gao, Xinjiang Ying, Pin Dong
Summary: This study identified a four-mRNA signature that could serve as a biomarker for predicting prognosis in LSCC, especially in the long term. The gene signature was validated and shown to stratify patients into high- and low-risk groups with significantly different overall survival rates.
Article
Medicine, General & Internal
Qun Li, Yangli Jin, Zhisen Shen, Huigao Liu, Yi Shen, Zhenhua Wu
Summary: This study identified six ferroptosis-related genes significantly associated with the prognosis of head and neck squamous cell carcinoma patients, establishing a model that can predict patient prognosis and provide a reliable prognostic evaluation tool to assist clinical treatment decisions.
INTERNATIONAL JOURNAL OF GENERAL MEDICINE
(2021)
Article
Genetics & Heredity
Hao-Shuai Yang, Wei Liu, Shao-Yi Zheng, He-Yuan Cai, Hong-He Luo, Yan-Fen Feng, Yi-Yan Lei
Summary: This study investigated the expression profiles of Ras-related genes in oesophageal squamous cell carcinoma (ESCC) and their prognostic value. By utilizing the unique expression patterns of 11 differentially expressed Ras-related genes, the study identified three distinct clusters of oesophageal cancer, each showing some prognostic value. A new prognostic prediction model was built using these genes, which achieved a high area under the curve (AUC) value. The study also found that low Ras scores were associated with higher expression levels of immune checkpoint genes, higher mutation rates of certain genes, and better sensitivity to certain drugs.
FRONTIERS IN GENETICS
(2022)
Article
Pharmacology & Pharmacy
Zilu Meng, Wenhan Yang, Lei Zhu, Wanyu Liu, Yudong Wang
Summary: This study identified 21 Necroptosis-related lncRNAs associated with survival and constructed a reliable prognostic model. The prognostic model provides important clinical guidance for prognosis assessment and treatment selection in patients with head and neck squamous cell carcinoma.
FRONTIERS IN PHARMACOLOGY
(2022)
Article
Oncology
Zhanzhan Li, Lin Shen, Yanyan Li, Liangfang Shen, Na Li
Summary: We constructed and validated a risk model for HNSCC prognosis using seven pyroptosis-related signature genes, which could predict the overall survival of HNSCC patients and facilitate treatment.
Article
Biochemistry & Molecular Biology
Jiahang Song, Yanhu Liu, Xiang Guan, Xun Zhang, Wenda Yu, Qingguo Li
Summary: This study focused on evaluating the association between ferroptosis-related gene expression profiles and prognosis in ESCC patients, developing a new ferroptosis-related gene signature that accurately classified patients with diverse survival outcomes in GEO and TCGA cohorts. The signature was identified as an independent predictor of ESCC risk and showed potential clinical application for predicting prognosis.
FRONTIERS IN MOLECULAR BIOSCIENCES
(2021)
Article
Cell Biology
Hongmei Ding, Fei Jiang, Lifeng Deng, Juan Wang, Ping Wang, Mintao Ji, Jie Li, Weiqiang Shi, Yufang Pei, Jiafu Li, Yue Zhang, Zengli Zhang, Youguo Chen, Bingyan Li
Summary: In this study, a new lncRNA model was developed to predict the prognosis of patients with EC by analyzing differentially expressed lncRNAs from the TCGA database. Eight independent prognostic lncRNAs for EC patients were identified. According to the risk score of these lncRNAs, EC patients could be divided into high-risk and low-risk groups, with the low-risk group having a higher survival rate. Additionally, the lncRNA signature was closely associated with histological subtype, advanced clinical stage, and clinical grade in EC patients.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2022)
Article
Biochemistry & Molecular Biology
Xiaoting Zhang, Jing Xiao, Xian Fu, Guicheng Qin, Mengli Yu, Guihong Chen, Xiaofeng Li
Summary: This study comprehensively analyzed the immunogenomics of lung squamous cell carcinoma (LUSC) and identified two immune-related genes (IRGs) that are closely correlated with LUSC prognosis. A two-gene prognosis risk model was established and validated in independent databases. The model's risk score was associated with sex, survival status, lymphatic metastasis, and five types of immune cells. These findings provide insights into the immune-related mechanisms of LUSC and offer potential prognostic biomarkers.
FRONTIERS IN MOLECULAR BIOSCIENCES
(2022)
Article
Medicine, General & Internal
Fang Wen, Shuai Ruan, Wenjie Huang, Xiaoxue Chen, Yulan Wang, Suping Gu, Jiatong Liu, Shenlin Liu, Peng Shu
Summary: The study identified gene mutation characteristics in cervical squamous cell carcinoma and the association between tumor mutation burden (TMB) and prognosis. By establishing a prognostic model with five hub genes, the sensitivity of patients to immunotherapy can be predicted.
FRONTIERS IN MEDICINE
(2021)
Article
Biotechnology & Applied Microbiology
Lin Chen, Zhimou Cai, Kexing Lyu, Zhiwei Cai, Wenbin Lei
Summary: The risk score model established based on DEirlncRNA pairs can accurately predict the overall survival of HNSCC patients, aiding in personalized treatment. Compared with other lncRNA signatures, this model performs better and is correlated with the immune microenvironment and chemosensitivity in HNSCC.
Article
Oncology
Dimitrios Nasioudis, Stefan Gysler, Nawar Latif, Lory Cory, Robert L. Giuntoli II, Sarah H. Kim, Fiona Simpkins, Lainie Martin, Emily M. Ko
Summary: The prevalence of ERBB2 gene amplification was investigated among patients with gynecologic malignancies. The study found that ERBB2 amplification is frequently encountered in uterine serous carcinoma and mucinous ovarian carcinoma, but less common in endometrioid endometrial carcinoma.
GYNECOLOGIC ONCOLOGY
(2024)