Causal Cascade of Symptoms on Patient Functioning and Health-Related Quality of Life in Non-Small Cell Lung Cancer and Metastatic Breast Cancer [0.03%]
非小细胞肺癌和转移性乳腺癌患者的症状连锁反应及其对患者功能状态和生活质量的影响
Donald E Stull
Donald E Stull
Purpose: Health-related quality of life (HRQoL) is a valuable counterpart to other end points in oncology trials. However, when analyzing the effect of treatment on HRQoL, results are often mixed. Cancer and its treatment...
Assessing the Detection Power of Genome-Wide Copy Number Variation Profiles in Prostate Cancer Using Simulated Shallow Whole-Genome Sequencing Data [0.03%]
利用模拟浅层全基因组测序数据评估前列腺癌中全基因组拷贝数变异谱系的检测能力
Samhita Pamidimarri Naga,Peter H J Slootbeek,Sofie H Tolmeijer et al.
Samhita Pamidimarri Naga et al.
Purpose: Shallow whole-genome sequencing (sWGS) is a cost-effective approach for detecting genome wide copy number profiles in tumor samples. In metastatic castration-resistant prostate cancer (mCRPC), recognizing homolog...
PREPARE ALL: An Artificial Intelligence Tool for Predicting Relapse in Children With Acute Lymphoblastic Leukemia [0.03%]
预测急性淋巴细胞白血病患儿复发的人工智能工具
Subikksha Saravanan,Raghunathan Rengaswamy,Gaurav Narula et al.
Subikksha Saravanan et al.
Purpose: The Pediatric Relapse Prediction and Risk Evaluation for Acute Lymphoblastic Leukemia (PREPARE-ALL) tool aims to predict relapse in pediatric ALL by integrating clinical expertise with artificial intelligence and...
Multicenter Study
JCO clinical cancer informatics. 2026 Jan:10:e2500222. DOI:10.1200/CCI-25-00222 2026
Impact of Real-World Response to First-Line Immunotherapy and Chemotherapy on Subsequent Treatment Outcomes in Patients With Advanced or Metastatic Non-Small Cell Lung Cancer [0.03%]
一线免疫治疗和化疗对晚期或转移性非小细胞肺癌患者后续治疗结局的现实世界响应影响分析
Jyoti Malhotra,Shilpa Viswanathan,Shivani K Mhatre et al.
Jyoti Malhotra et al.
Purpose: This study examined real-world overall survival (rwOS) in patients with advanced or metastatic non-small cell lung cancer (a/mNSCLC) treated with combination immunotherapy (IO) and platinum chemotherapy in first ...
Knowledge Representation of a Multicenter Adolescent and Young Adult Cancer Infrastructure: Development of the STRONG AYA Knowledge Graph [0.03%]
多中心青少年和年轻人癌症基础设施的知识表示：STRONG AYA知识图的开发
Joshi Hogenboom,Varsha Gouthamchand,Charlotte Cairns et al.
Joshi Hogenboom et al.
Purpose: Rare diseases are difficult to fully capture, and regularly call for large, geographically dispersed initiatives. Such initiatives are often met with data harmonization challenges. These challenges render data in...
Multicenter Study
JCO clinical cancer informatics. 2026 Jan:10:e2500177. DOI:10.1200/CCI-25-00177 2026
Time-Series Clustering Captures Patterns of Early Immune Effector Cell-Associated Hematotoxicity That Are Predictable Using Tree-Based Models [0.03%]
基于树的模型预测免疫效应细胞相关血液毒性的早期模式
Emily C Liang,Yein Jeon,Yang Qiao et al.
Emily C Liang et al.
Purpose: Immune effector cell-associated hematotoxicity (ICAHT) is a major cause of nonrelapse mortality after chimeric antigen receptor (CAR) T-cell therapy. We hypothesized that unsupervised time-series clustering could...
Novel Electronic Health Record-Based Data Commons for Pancreatic Cancer [0.03%]
一种新型的基于电子健康记录的胰腺癌数据公共池
Kaleem S Ahmed,Clayton T Marcinak,Muhammad Maisam Ali et al.
Kaleem S Ahmed et al.
Purpose: Clinical research in pancreatic cancer (PC) has been limited because of a lack of granular data in national data sets. An electronic health record (EHR)-based data set specifically designed for PC has immense pot...
Clinical Trial Patient Matching: A Real-Time, Common Data Model and Artificial Intelligence-Driven System for Semiautomated Patient Prescreening in Cancer Clinical Trials [0.03%]
临床试验患者匹配：实时通用数据模型和人工智能驱动的系统在癌症临床试验中的半自动患者预筛选中的应用
Guannan Gong,Jessica Liu,Sameer Pandya et al.
Guannan Gong et al.
Purpose: Cancer clinical trial enrollment remains critically low at 5%-7% of adult patients despite exponential growth in available trials. Manual patient-trial matching represents a fundamental bottleneck, whereas curren...
ClinBioNGS: A Clinical Bioinformatics Pipeline for Integrated Analysis of Somatic Next-Generation Sequencing Cancer Panels [0.03%]
ClinBioNGS：一个用于综合分析体细胞下一代测序癌症基因组的临床 bioinformatics 管道
Raúl Marín,Ania Alay,Maria Ajenjo-Bauza et al.
Raúl Marín et al.
Purpose: Somatic next-generation sequencing (NGS) panels are widely used in precision oncology to detect clinically actionable genomic alterations. However, interpreting diverse DNA and RNA alterations remains challenging...
Extraction of Treatments and Responses From Non-Small Cell Lung Cancer Clinical Notes Using Natural Language Processing [0.03%]
基于自然语言处理技术的非小细胞肺癌临床文本中药物及反应信息抽取
Sonish Sivarajkumar,Subhash Edupuganti,David Lazris et al.
Sonish Sivarajkumar et al.
Purpose: Manual extraction of treatment outcomes from unstructured oncology clinical notes is a significant challenge for real-world evidence (RWE) generation. This study aimed to develop and evaluate a robust natural lan...