BUB1, miR-495-3p, and E2F1/E2F8 axis is associated with poor prognosis of breast cancer patients and infiltration of Th2 cells in the tumor microenvironment [0.03%]
BUB1、miR-495-3p和E2F1/E2F8轴与乳腺癌患者的不良预后及肿瘤微环境中Th2细胞浸润有关
Rajeev Nema,Ashok Kumar
Rajeev Nema
Breast cancer, the most common cancer in women, is characterized by cell cycle dysregulation and chromosome segregation errors, leading to mitotic catastrophe and genomic instability. Understanding these molecular mechanisms is crucial for ...
External validation of CEA and CA125 prediction model for lymph node metastasis in endometrial cancer: A multi-institute cohort study [0.03%]
基于多中心队列的子宫内膜癌淋巴结转移CEA和CA125预测模型的外部验证研究
Hao Lin,Hung-Chun Fu,Szu-Yu Huang et al.
Hao Lin et al.
BackgroundWe previously utilized pretreatment tumor markers Carcinoembryonic Antigen (CEA) and Cancer Antigen 125 (CA125) for predicting lymph node metastasis (LNM) in endometrioid endometrial cancer (EC).ObjectiveThe aim of this study was ...
The effect of low-intensity resistance exercise training on Serum tumor biomarkers and quality of life in women with breast cancer: A randomized controlled trial [0.03%]
低强度阻抗运动训练对乳腺癌女性患者血清肿瘤生物标志物及生活质量的影响：一项随机对照试验
Deniz Kocamaz,Nahide Ayhan Fidancioğlu,Ramazan Cihad Yilmaz et al.
Deniz Kocamaz et al.
BackgroundAs the role of physical activity in breast cancer management gains increasing recognition, understanding the effects of aerobic exercise on patients' quality of life and biological markers has emerged as a critical area of researc...
Randomized Controlled Trial
Cancer biomarkers : section A of Disease markers. 2025 Mar;42(3):18758592251329201. DOI:10.1177/18758592251329201 2025
Brain tumor segmentation and detection in MRI using convolutional neural networks and VGG16 [0.03%]
基于卷积神经网络和VGG16的脑肿瘤MRI图像分割与检测
Shunmugavel Ganesh,Ramalingam Gomathi,Suriyan Kannadhasan
Shunmugavel Ganesh
BackgroundIn this research, we explore the application of Convolutional Neural Networks (CNNs) for the development of an automated cancer detection system, particularly for MRI images. By leveraging deep learning and image processing techni...
Hypoxia inducible factor-1α promotes non-small cell lung cancer progression by activating leptin receptor transcription [0.03%]
缺氧诱导因子-1α通过激活瘦素受体转录促进非小细胞肺癌进展
Yan Li,Bo Chen,Shuangshuang Wu et al.
Yan Li et al.
BackgroundHypoxia and leptin receptors (also called obesity receptors, OB-R) are evident markers of tumor progression and have been demonstrated to be essential oncogenes in a variety of cancers. However, the specific role of OB-R in lung c...
Development of a multiplexed lateral flow assay for the serologic detection of HPV-associated head and neck cancer [0.03%]
一种用于人乳头状瘤病毒相关头颈部癌症血清学检测的多重侧向流动分析法的研发
Ching-Wen Hou,Pankaj Kumar,Stacy Williams et al.
Ching-Wen Hou et al.
BackgroundAmong head and neck squamous cell carcinomas (HNSCCs), the incidence of oropharyngeal cancer (OPC) has been increasing in recent decades. Human papillomavirus (HPV) type 16 is associated with the majority of OPC. Circulating antib...
Biomarkers and potential function analysis of triple-negative breast cancer screening based on bioinformatics [0.03%]
基于生物信息学的三阴性乳腺癌筛查标志物及其潜在功能分析
Xing Chen,Xiaodan Tan,Zhe Peng et al.
Xing Chen et al.
This study aims to identify and validate potential endogenous biomarkers for triple-negative breast cancer (TNBC). TNBC microarray data (GSE38959, GSE53752) were retrieved from the Gene Expression Omnibus (GEO) database, and principal compo...
Bioinformatics screened of biomarkers for the prognosis of hepatocellular carcinoma [0.03%]
肝细胞癌预后生物标志物的生物信息学筛选研究
Chunxu Bao,Tingting Liu,Guiling Hu et al.
Chunxu Bao et al.
BackgroundThis study aimed to identify hub genes linked to hepatocellular carcinoma (LIHC) pathogenesis using bioinformatics analysis.MethodA total of 3865 samples from 12 datasets in the HCCDB database were analyzed to identify prognostic ...
Identification of key genes related to cancer associated fibroblasts in neuroblastoma: A comprehensive bioinformatics approach [0.03%]
利用综合生物信息学方法鉴定与神经母细胞瘤相关癌相关成纤维细胞的关键基因
Zhao Qianyun,Wang Jianjun,Fan Kaisi et al.
Zhao Qianyun et al.
BackgroundNeuroblastoma (NB) is one of the most common and aggressive pediatric solid tumors, characterized by a highly complex pathogenesis. Within the tumor microenvironment (TME), cancer-associated fibroblasts (CAFs) constitute a major c...
Identifying diagnostic markers and establishing prognostic model for lung cancer based on lung cancer-derived exosomal genes [0.03%]
基于肺癌来源的外泌体基因鉴定诊断标志物和建立预后模型
Yongxiang Zhang,Feng Chen,Yuqi Cao et al.
Yongxiang Zhang et al.
Background: Lung cancer (LC) is the most common malignancy and the leading cause of cancer death. LC-derived exosomes have been found to play a critical role in tumor initiation, progression, metastasis and drug resistance. Therefore, the o...