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Technology in Cancer Research & Treatment|July 22, 2026
Caught in the NET: A Review on the Emerging Role of Neutrophil Extracellular Traps in PDAC DevelopmentEmily A Godfrey, Slawomir Lukomski, Brian A BooneTechnology in Cancer Research & Treatment|July 27, 2026
Prognostic Factors and Radiotherapy Benefit in pT3N0M0 Rectal Cancer: A Retrospective AnalysisHaina Du, Chunxiang Zhou, Xinliang ZhangTechnology in Cancer Research & Treatment|July 31, 2026
Metabolomic Characteristics of Patients With Non-Small Cell Lung Cancer in Plasma, Tissue and Exhaled Breath Condensate: A Case-Control StudyDewei Li, Shuting Yang, Ling Zhang, et al.Technology in Cancer Research & Treatment|August 11, 2026
Isolation of Novel Fully Human Single-Domain Antibodies Targeting GUCY2C from a Heavy-Chain-Only Transgenic Mouse PlatformPingxia Zhu, Lei He, Xiaoming Du, et al.Technology in Cancer Research & Treatment|August 13, 2026
Development and Preliminary Dosimetric Evaluation of a 3D-Printed Custom Tissue Compensator for Head and Neck Cancer Radiotherapy: A Proof-of-Concept Case SeriesChuxiang Jian, Xiang Xia, Jiazhou Wang, et al.Technology in Cancer Research & Treatment|August 25, 2026
The Role of Using Machine Learning Algorithms in Non-contrast CT Based Images in Determining Pathological Subtypes of Lung CancerBeyza Nur Kuzan, Can Ilgin, Murat Emeç, et al.Technology in Cancer Research & Treatment|September 8, 2026
Evaluating Diagnostic Strategies for Thyroid Nodule Assessment Using S-Detect in Transverse and Longitudinal Ultrasound PlanesZiman Chen, Mengting Ye, Jieyi Liang, et al.Technology in Cancer Research & Treatment|September 9, 2026
Preparing for the Era of Multiple Primary Cancers: A Prevention-Centered Model for Survivorship MedicineTessho MaruyamaTechnology in Cancer Research & Treatment|September 10, 2026
Magnetic-Field-Induced Secondary-Electron Effects in MR-Guided Radiotherapy: From Dosimetric Mechanisms to Workflow-Based Clinical Risk ManagementAixin Wang, Jian Fang, Mingyu Tan, et al.Technology in Cancer Research & Treatment|September 9, 2026
An MRI-Based Intratumoral and Peritumoral 2.5D Deep Learning Model for Predicting P53-Mutated Hepatocellular Carcinoma: A Two-Center StudyJingfei Weng, Pinxiong Li, Dinghua Yao, et al.Pageof 301