Prospective Breast Cancer Biomarkers Identified Using miR-526b-Driven Metabolic Alterations [0.03%]
利用miR-526b驱动的代谢改变识别乳腺癌生物标志物
Braydon Nault,Mousumi Majumder
Braydon Nault
Objectives: Breast cancer is a heterogeneous disease driven by dysregulated cellular processes, including altered metabolic pathways. The oncogenic microRNA miR-526b influences several cancer hallmark phenotypes and holds...
MGDB: A Novel Bioinformatics Quality Control Tool for Clinical Next-Generation Sequencing [0.03%]
MGDB：一种临床下一代测序的新型生物信息质控工具
Hadrien T Gayap,Philippe-Pierre Robichaud,Nicolas Crapoulet et al.
Hadrien T Gayap et al.
Background and objectives: Next-generation sequencing (NGS) is transforming clinical diagnostics by enabling the detection of genetic variation with unprecedented precision. However, successful implementation of NGS workf...
Clustering Analysis of Multiple Omics Data Types Identifies Cancer Patients With Consistent Survival Outcomes [0.03%]
多种组学数据的聚类分析可识别生存结果一致的癌症患者
Shuting Lin,Peng Qiu
Shuting Lin
Objectives: Cancer stratification is essential for accurate prognosis and personalized treatment selection. While many existing approaches integrate multiple omics data types to identify cancer subtypes, it remains unclea...
Integrative Analysis of eQTL Genes Reveals Key Biomarkers and Mechanisms for Early Diagnosis of Pancreatic Ductal Adenocarcinoma [0.03%]
整合分析eQTL基因揭示胰腺导管腺癌早期诊断的关键生物标志物及机制
Xuebo Wang,Xusheng Zhang,Shicai Liang et al.
Xuebo Wang et al.
Background: Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy with a dismal 5-year survival rate, largely due to the absence of reliable biomarkers for early detection. The molecular mechanisms underpi...
Robust Cancer Biomarker Identification From Matched Transcriptomic Data Via Bootstrapped Regularized Conditional Logistic Regression [0.03%]
基于引导的正则化条件逻辑回归从配对转录组数据中稳健地识别癌症生物标志物
Jie-Huei Wang,Zih-Han Wu,Hui-Chen Lu et al.
Jie-Huei Wang et al.
Objectives: With the increasing application of high-throughput transcriptomic data in cancer research, identifying reliable cancer biomarkers in high-dimensional settings remains a major challenge. This study aims to syst...
Prediction and Feature Selection of Mastectomy-Related Post Traumatic Stress Disorder (PTSD) Using Machine Learning Among Breast Cancer Patients in Bangladesh [0.03%]
基于机器学习的乳腺癌患者乳房切除术后创伤后应激障碍的预测及特征选择研究——以孟加拉国为例
Syed Billal Hossain,Md Mizanoor Rahman,Kapashia Binte Giash et al.
Syed Billal Hossain et al.
Background: Post-mastectomy PTSD is a serious mental health issue, but it has not been studied enough, particularly in low-resource settings like Bangladesh. This study aimed to predict PTSD among breast cancer survivors ...
Pan-Cancer Analysis of the Prognostic and Immunological Role of ECT2: A Promising Target for Survival and Immunotherapy [0.03%]
泛癌分析ECT2的预后和免疫学作用：一个有希望的生存和免疫治疗靶点
Lulu Wang,Hua Jin,Xiaowei Liu et al.
Lulu Wang et al.
Objectives: The aim of this study is to investigate the role of epithelial cell transforming sequence 2 (ECT2) as a pan-cancer biomarker and to assess its potential as an immune-related target for cancer immunotherapy. ...
Unsupervised Random Forest Identifies Important Genetic Prognostic Factors for Breast Cancer Survival Time [0.03%]
无监督随机森林识别乳腺癌生存时间的重要遗传预后因素
Benjamin Goldberg,Eric Nels Pederson,Zhengqing Ouyang
Benjamin Goldberg
Objective: Breast cancer is one of the most prominent and deadly diseases in the world, and its prognosis varies widely based on the expression of certain genes. Identification of these genes is important for developing a...
An Integrated Analysis of HAVCR1 with a Focus on Immunological and Prognostic Roles in Breast Cancer [0.03%]
HAVCR1在乳腺癌免疫学和预后作用的综合分析
Wen Sun,Weiya Zhang,Jianyi Zhao et al.
Wen Sun et al.
Background: Breast cancer remains a predominant malignancy and a leading cause of oncologic mortality among women globally. The discovery of novel biomarkers is crucial for improving therapeutic outcomes. ...
Comparative RNA-Seq Analysis of Colon Spheroids and Patient-derived Tissues Identifies Non-Canonical Transcript Isoforms of Protein-Coding Genes Implicated in Colon Carcinogenesis [0.03%]
结肠球体与患者衍生组织的比较RNA测序分析鉴定出在结肠癌发生中起作用的蛋白质编码基因非canonical转录异构体
Tamara Babic,Bojana Banovic Djeri,Dunja Pavlovic et al.
Tamara Babic et al.
Objectives: This study aimed to identify transcript isoforms of protein-coding genes with potential relevance to the malignant transformation of gut mucosa. ...