Metal-Organic Frameworks Against Tumor Metastasis: Therapeutic Targets, Strategies, and Challenges for Clinical Translation [0.03%]
金属有机框架抗肿瘤转移：治疗靶点、策略及临床转化挑战
Jiahui Wang,Xiuxiu Qiu,Ruoyu Wang et al.
Jiahui Wang et al.
Tumor invasion and metastasis are the primary causes of cancer-related mortality and have a profound impact on patient prognosis. This review comprehensively examines the application of Metal-Organic Frameworks (MOFs) in anti-metastatic the...
Induction Regimens in High-Risk Neuroblastoma: Systematic Review of Response Rates and Toxicities [0.03%]
高危神经母细胞瘤初始治疗方案的系统评价：缓解率和毒性总结
Samantha D Martin,Eva C Robinson,Edie Weller et al.
Samantha D Martin et al.
Background: Numerous induction therapies have been evaluated for high-risk neuroblastoma (HRNBL). It is not known how these regimens' response rates nor toxicities compare. We aimed to describe and compare key features of...
The Effects of Light Therapy on Cognitive Function and Stress in Women With Breast Cancer Before Systemic Treatment [0.03%]
光疗对乳腺癌系统治疗前女性认知功能和压力的影响
Snaefridur Gudmundsdottir Aspelund,Thorhildur Halldorsdottir,Gudjon Agustsson et al.
Snaefridur Gudmundsdottir Aspelund et al.
Background: Cancer-related cognitive impairment (CRCI), for example, impairments in reaction time, processing speed, memory and executive function, may be associated with breast cancer (BC) surgery which can disrupt biolo...
Randomized Controlled Trial
Cancer medicine. 2025 Nov;14(22):e71412. DOI:10.1002/cam4.71412 2025
Cannabis Use and Adverse Childhood Experiences Among Cancer Survivors [0.03%]
癌症幸存者中不良童年经历与大麻使用的关联性研究
May Z Gao,Oluwole A Babatunde,Melanie S Jefferson et al.
May Z Gao et al.
Objective: To examine the association between adverse childhood events (ACEs) and cannabis use among adult cancer survivors in the United States. Methods:...
Overall and Site-Specific Cancer Mortality Among Older Migrants and Nonmigrants in Finland: A Population Register Study on All Deaths, 2002-2020 [0.03%]
芬兰老年人移民和非移民总体及特定部位癌症死亡率：2002-2020年全国登记册上的所有死因分析
Laura Kemppainen,Teemu Kemppainen,Jani Raitanen et al.
Laura Kemppainen et al.
Objective: This study examined all-cause and cause-specific cancer mortality among older migrants and non-migrants in Finland and the role of socioeconomic status in mortality differences. ...
Tropomyosin 3 Gene Fusions in Cancers: From Mechanisms to Treatments-A Comprehensive Review [0.03%]
肿瘤中肌动蛋白结合蛋白基因融合：从机制到治疗-全面综述
Anjie Chen,Sixin Li,Chen Guo et al.
Anjie Chen et al.
Background: Tropomyosin 3 (TPM3), one of the four tropomyosin genes, is predominantly expressed in eukaryotic cells. As a crucial regulatory protein, TPM3 associates with actin within thin myofilaments, thereby playing an...
Prolonged Time From Symptoms to Diagnosis Is Associated With an Inferior Progression-Free Survival in Diffuse Large B-Cell Lymphoma [0.03%]
弥漫性大B细胞淋巴瘤患者从出现症状到确诊时间延长与无进展生存期缩短相关
Susanna Tokola,Katja Marin,Milla E L Kuusisto et al.
Susanna Tokola et al.
Introduction: Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease, with often a high Ki-67 proliferation index. Prognosis is associated with lymphoma stage, lactate dehydrogenase level, and metabolic tumor vo...
The Incidence, Severity and Risk Factors of Renal Injury in Lung Cancer Patients Receiving Osimertinib Therapy: A Real-World Study [0.03%]
奥希替尼治疗肺癌患者肾损伤的发病率、严重程度及危险因素的真实世界研究
Jieshan Lin,Xiaoying Dong,Wenfang Tang et al.
Jieshan Lin et al.
Aim: The high burden of lung cancer in developing countries has led to the widespread use of EGFR inhibitors like osimertinib. However, little is known about the prevalence and risk factors of renal injury associated with...
Epidemiology and Prognostic Role of HPV Infection in Head and Neck Cancer: A Population-Based Study of the SEER Database [0.03%]
基于SEER数据库的头颈鳞癌中的人乳头瘤病毒感染的流行病学及预后作用研究
Kangwen Guo,Jinmei Li,Haiyin Ye et al.
Kangwen Guo et al.
Background: Head and neck cancer (HNC) comprises a heterogeneous group of malignancies with significant variation in epidemiology, clinical features, and treatment responses. However, large-scale data on the clinical epid...
Explainable Machine Learning Model for Predicting Postoperative Survival in Patients With Locally Advanced Gastric Cancer [0.03%]
用于预测局部晚期胃癌患者术后生存的可解释机器学习模型
Zhijie Gong,Liping Zhou,Yinghao He et al.
Zhijie Gong et al.
Purpose: This study aims to develop and validate an explainable machine learning model for predicting postoperative survival in patients with locally advanced gastric cancer (LAGC), optimizing predictive accuracy while en...