Results 151 to 160 of about 236,085 (267)

Special Issue "Biomarkers and Early Detection Strategies of Ovarian Tumors". [PDF]

Int J Mol Sci
Szafron LA, Kupryjanczyk J, Szafron LM.
europepmc   +1 more source

Discovery and Optimization of AMT‐676, a CDH17‐Targeting ADC for the Treatment of Advanced Gastrointestinal Cancers

Advanced Science, EarlyView.
AMT‐676 is a novel antibody‐drug conjugate targeting CDH17, an adhesion molecule uniquely exposed on gastrointestinal tumor surfaces. Engineered with an optimized exatecan payload, it demonstrates profound tumor regression and a robust bystander effect across diverse preclinical models.
Ying‐nan Wang, Dan‐yun Ruan, Jing Shi, Yue Huang, Hui Sheng, Ya‐ling Huang, Linjie Ma, Lijun Wang, Caiwei Chen, Yixuan Wang, Yue Zhang, Yi Shen, Qing Zhang, Jianjian Zhang, Yanfang Tang, Jin‐ling Zhang, Jia‐jia Hu, Chen‐yi Wu, Jia‐ying Chen, Xun Meng, Shu‐Hui Liu, Feng Wang   +21 more
wiley   +1 more source

Value Analysis of MRI Habitat Analysis Combined Model in the Diagnosis of Ovarian Tumors. [PDF]

Technol Cancer Res Treat
Wang J, Liu K, Sui Y, Ma S, Yang D.
europepmc   +1 more source

Epigenetic Reactivation of TNFRSF19 Suppresses Mitophagy and Sensitizes Triple‐Negative Breast Cancer to Doxorubicin

Advanced Science, EarlyView.
TNFRSF19 is an epigenetically silenced regulator of mitophagy in triple‐negative breast cancer. TNFRSF19 deficiency activates the TGFBR1–SMAD3–PINK1 axis to promote mitophagy and confer doxorubicin resistance, whereas decitabine‐mediated restoration of TNFRSF19 suppresses mitophagy and enhances doxorubicin sensitivity, revealing a targetable epigenetic–
Shiyang Liu, Chenguang Liu, Weihong Zheng, Xiaofei Tong, Zhengwei Gui, Zonghong Lu, Sun Ieong, Lin Zhang   +7 more
wiley   +1 more source

Diagnostic accuracy of ultrasound models for assessment of ovarian tumors: systematic review and meta-analysis. [PDF]

Ultrasound Obstet Gynecol
Lems E, Koch AH, Delvaux EJLG, Leemans JC, Bongers MY, Lok CAR, Ramaekers BL, Geomini PMAJ.   +7 more
europepmc   +1 more source

Tumor Exposomics: A New Paradigm for Individualized Continuous Exposure Monitoring

Advanced Science, EarlyView.
Tumor exposomics integrates continuous monitoring of environmental exposures, endogenous biological responses, and behavioral factors within a unified temporal framework. By combining multimodal sensing technologies with AI‐enabled causal modeling, this emerging paradigm reconstructs exposure‐damage trajectories and supports individualized dynamic risk
Kaicheng Shen, Weiyi Wang, Yang Wang, Yiqiang Wu, Xiaohong Liu, Wei Zhang, Juanjuan Ou   +6 more
wiley   +1 more source

Leveraging Microphysiological Systems to Facilitate Neutrophil‐Based Cancer Immunotherapy

Advanced Science, EarlyView.
Microphysiological systems are emerging as powerful human‐relevant platforms for studying neutrophil biology in cancer. Current applications of spheroids, organoids, and organ‐on‐a‐chip models are reviewed, together with future opportunities in behaviorome profiling, multi‐omics integration, personalized medicine, immune crosstalk, and multi‐organ ...
Shuai Shao, Markus Isfeld Diehl, Caroline N. Jones   +2 more
wiley   +1 more source

Stem cell-directed targeted chemotherapy primes drug-resistant metastatic ovarian tumors for elimination by natural killer cells. [PDF]

Mol Ther Oncol
Massumi M, Li G, Owji H, Yang G, Girda E, Hatefi A.   +5 more
europepmc   +1 more source

Dual‐Target Nectin‐4/FAP Heterobivalent Probe 68Ga/177Lu‐FZ‐NF‐1 for Triple‐Negative Breast Cancer: Preclinical Theranostic Evaluation and First‐in‐Human Translation

Advanced Science, EarlyView.
A novel hetero‐bivalent agent, 68Ga/177Lu‐FZ‐NF‐1, concurrently targets Nectin‐4 and FAP in triple‐negative breast cancer. It yields significant preclinical tumor regression and clinically identifies additional metastatic lesions missed by 18F‐FDG PET, demonstrating promising theranostic potential for personalized management.
Ye Li, Li Sun, Xiaoyu Pan, Shuyi Lin, Dongliang Wang, Jianping Zhang, Fengshuang Qiu, Bin Zhu, Lingzhou Zhao, Fengsheng Zhang, Liyan Bai, Bingxin Gu, Xiaoping Xu, Shaoli Song   +13 more
wiley   +1 more source

Artificial intelligence-based machine learning models for preoperative diagnosis and staging of ovarian tumors. [PDF]

J Egypt Natl Canc Inst
Aminimoghaddam S, Torshizi HM, Pourali R, Mohazzab A.   +3 more
europepmc   +1 more source