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328 results on '"Chen,Jie"'

3. Intratumoral Macroscopic Fat and Hemorrhage Combination Useful in the Differentiation of Benign and Malignant Solid Renal Masses.

Author

Sun, Jun, Xing, Zhaoyu, Xing, Wei, Zheng, Linfeng, Chen, Jie, Fan, Min, Chen, Tongbing, and Zhang, Zhuoli

Subjects
Kidney, Humans, Kidney Neoplasms, Hemorrhage, Magnetic Resonance Imaging, Retrospective Studies, Feasibility Studies, Adult, Aged, Middle Aged, Female, Male, Adiposity, Biomedical Imaging, Prevention, Neurosciences
Abstract

To evaluate the value of combining the detection of intratumoral macroscopic fat and hemorrhage in the differentiation of the benign from malignant solid renal masses.Conventional magnetic resonance imaging (MRI), chemical shift (CS)-MRI, and susceptibility-weighted imaging were performed in 152 patients with 152 solid renal masses, including 48 benign and 104 malignant masses all pathologically confirmed. The presence of macroscopic fat detected by CS-MRI and hemorrhage detected by susceptibility-weighted imaging were evaluated in all masses. The rates of macroscopic fat and hemorrhage observed between benign and malignant masses were compared by a χ test. All masses found to contain macroscopic fat with or without hemorrhage were considered to be benign. The remaining masses (without macroscopic fat) found not to contain hemorrhage were considered to be benign. Only those found to contain hemorrhage alone were considered to be malignant. The evaluation indexes for differentiating and forecasting the benign and malignant masses were calculated.Significant differences in the rate of macroscopic fat (observed in 85.42% of benign masses vs. 0% of malignant masses) and hemorrhage (observed in 4.17% of benign masses vs. 95.19% of malignant masses) were measured in the benign and malignant groups (P

Published
2016

44. Relationship between marital status and survival in patients with lung adenocarcinoma

Author

Wu, Ying, Zhu, Pei-Zhen, Chen, Yin-Qiao, Chen, Jie, Xu, Lu, and Zhang, Huayi

Subjects
Adult, Male, Lung Neoplasms, Observational Study, Adenocarcinoma of Lung, Kaplan-Meier Estimate, survival analysis, Young Adult, cancer-specific survival, Risk Factors, Carcinoma, Non-Small-Cell Lung, SEER program, Humans, Aged, Aged, 80 and over, Marital Status, Middle Aged, lung adenocarcinoma, Prognosis, Survival Analysis, Survival Rate, Female, Research Article, marital status, SEER Program
Abstract

Numerous studies have focused on whether the marital status has an impact on the prognosis in patients with non-small cell lung cancer, but none have focused on lung adenocarcinoma. We selected 61,928 eligible cases with lung adenocarcinoma from the Surveillance, Epidemiology, and End Results database from 2004 to 2016 and analyzed the impact of marital status on cancer-specific survival (CSS) using Kaplan–Meier and Cox regression analyses. We confirmed that sex, age, race, cancer TNM stage and grade, therapeutic schedule, household income, and marital status were independent prognostic factors for lung adenocarcinoma CSS. Multivariate Cox regression showed that widowed patients had worse CSS (hazard ratio 1.26, 95% confidence interval 1.20–1.31, P

Published
2022

49. A 3-DNA methylation signature as a novel prognostic biomarker in patients with sarcoma by bioinformatics analysis

Author

Lei Zhang, Qi Sun, Xiao-Wei Wang, Wei-Qiang Tan, Chen-Jie Xia, Shi-Bin Xu, Chao Xu, Shu-Dong Yao, Qi-Ming Zhao, and Hua-Hui Zhang

Subjects
Oncology, Adult, Male, medicine.medical_specialty, sarcoma, The Cancer Genome Atlas, Soft Tissue Neoplasms, Kaplan-Meier Estimate, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Internal medicine, medicine, Humans, Prognostic biomarker, 030212 general & internal medicine, Aged, Retrospective Studies, Aged, 80 and over, DNA methylation, Receiver operating characteristic, Proportional hazards model, business.industry, Cancer, Retrospective cohort study, General Medicine, Methylation, Clinical Trial/Experimental Study, Middle Aged, medicine.disease, Prognosis, prognosis model, ROC Curve, 030220 oncology & carcinogenesis, Female, Sarcoma, business, Biomarkers, signature, Research Article
Abstract

Background: Tumor-specific DNA methylation can potentially be a useful indicator in cancer diagnostics and monitoring. Sarcomas comprise a heterogeneous group of mesenchymal neoplasms which cause life-threatening tumors occurring throughout the body. Therefore, potential molecular detection and prognostic evaluation is very important for early diagnosis and treatment. Methods: We performed a retrospective study analyzing DNA methylation of 261 patients with sarcoma from The Cancer Genome Atlas (TCGA) database. Cox regression analyses were conducted to identify a signature associated with the overall survival (OS) of patients with sarcoma, which was validated in a validation dataset. Results: Three DNA methylation signatures were identified to be significantly associated with OS. Kaplan–Meier analysis showed that the 3-DNA methylation signature could significantly distinguish the high- and low-risk patients in both training (first two-thirds) and validation datasets (remaining one-third). Receiver operating characteristic (ROC) analysis confirmed that the 3-DNA methylation signature exhibited high sensitivity and specificity in predicting OS of patients. Also, the Kaplan–Meier analysis and the area under curve (AUC) values indicated that the 3-DNA methylation signature was independent of clinical characteristics, including age at diagnosis, sex, anatomic location, tumor residual classification, and histological subtypes. Conclusions: The current study showed that the 3-DNA methylation model could efficiently function as a novel and independent prognostic biomarker and therapeutic target for patients with sarcoma.

Published
2020

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