Results 61 to 70 of about 30,077 (242)

The INAVA mRNA in Extracellular Vesicles Activates Normal Ovarian Fibroblasts by Phosphorylation–Ubiquitylation Crosstalk of HMGA2

Advanced Science, EarlyView.
Ovarian cancer‐derived extracellular vesicles (EVs) transfer INAVA mRNA to normal ovarian fibroblasts (NOFs). Translated INAVA protein inhibits HMGA2 phosphorylation‐dependent ubiquitylation and proteasomal degradation, promoting NOF activation.
Lingkai Gu, Zhangjin Shen, Shizhen Shen, Conghui Wang, Yuwan Liu, Xinyi Wei, Mengxia Zheng, Jiaxin Gu, Xiaojing Chen, Yi Sun, Junfen Xu, Yan Lu, Weiguo Lu   +12 more
wiley   +1 more source

Toripalimab plus capecitabine in the treatment of patients with residual nasopharyngeal carcinoma: a single-arm phase 2 trial

Nature Communications
Patients with residual nasopharyngeal carcinoma after receiving definitive treatment have poor prognoses. Although immune checkpoint therapies have achieved breakthroughs for treating recurrent and metastatic nasopharyngeal carcinoma, none of these ...
Xun Cao, Hao-Yang Huang, Chi-Xiong Liang, Zhuo-Chen Lin, Jia-Yu Zhou, Xi Chen, Ying-Ying Huang, Ze-Jiang Zhan, Liang-Ru Ke, Lu-Jun Han, Wei-Xiong Xia, Lin-Quan Tang, Shan-Shan Guo, Hu Liang, Xiang Guo, Xing Lv   +15 more
doaj   +1 more source

Penalized Poisson model for network meta-analysis of individual patient time-to-event data [PDF]

arXiv, 2021
Network meta-analysis (NMA) allows the combination of direct and indirect evidence from a set of randomized clinical trials. Performing NMA using individual patient data (IPD) is considered as a "gold standard" approach as it provides several advantages over NMA based on aggregate data. For example, it allows to perform advanced modelling of covariates
arxiv  

C1q+ Macrophage–Tumor Cell Interaction Promoted Tumorigenesis via GPR17/PI3K/AKT Pathway Induced DNA Hypermethylation in Nasopharyngeal Carcinoma

Advanced Science, EarlyView.
In the TME of NPC, C1q secreted by C1q+ TAMs interacted with GPR17 to activate PI3K/AKT signaling through strengthening GPR17 coupling PI3K and increasing calcium levels in tumor cells. The activated PI3K/AKT signaling further induces DNA hypermethylation to promote the malignancy and stemness of tumor cells.
Yunzhi Liu, Cuicui Huang, Min Luo, Wenfu Lu, Baifeng Zhang, Lu Bai, Shuyue Zheng, Yanan Tan, Shanshan Li, Huali Wang, Lanqi Gong, Xinyuan Guan   +11 more
wiley   +1 more source

Joint modeling of longitudinal health-related quality of life during concurrent chemoradiotherapy period and long-term survival among patients with advanced nasopharyngeal carcinoma

Radiation Oncology
Background To investigate the prognosis of longitudinal health-related quality of life (HRQOL) during concurrent chemoradiotherapy (CCRT) on survival outcomes in patients with advanced nasopharyngeal carcinoma (NPC).
Ji-Bin Li, Shan-Shan Guo, Ting Liu, Zhuo-Chen Lin, Wei-Jie Gong, Lin-Quan Tang, Ling Guo, Hao-Yuan Mo, Hai-Qiang Mai, Qiu-Yan Chen   +9 more
doaj   +1 more source

Integrating Aggregate Materials and Machine Learning Algorithms: Advancing Detection of Pathogen‐Derived Extracellular Vesicles

Aggregate, EarlyView.
Pathogen‐derived extracellular vesicle detection: theoretical insights and advanced methodologies: This review explores the theoretical foundations and practical applications of pEV detection, emphasizing the challenges and innovative strategies involving novel aggregate materials and machine learning for enhanced diagnostic accuracy.
Lihan Lai, Yun Su, Cong Hu, Zehong Peng, Wei Xue, Liang Dong, Tony Y. Hu   +6 more
wiley   +1 more source

Systemic therapy‐based split‐course stereotactic body radiation therapy

Precision Radiation Oncology, Volume 6, Issue 4, Page 306-320, December 2022., 2022
Abstract Purpose Given the therapeutic toxicity of concurrent chemoradiotherapy, the dose of chemotherapy is always limited. Hence, the question of how to administer adequate chemotherapy to synchronize stereotactic body radiation therapy (SBRT) treatment strategy for maximizing the benefits of neoadjuvant therapy to improve prognosis is a challenging ...
Rong Zheng, Bisi Wang, Feihong Liang, Benhua Xu   +3 more
wiley   +1 more source

Paclitaxel liposome, cisplatin and 5-fluorouracil-based induction chemotherapy followed by de-escalated intensity-modulated radiotherapy with concurrent cisplatin in stage IVA–IVB childhood nasopharyngeal carcinoma in endemic area: a phase II, single-arm trialResearch in context

The Lancet Regional Health. Western Pacific, 2023
Summary: Background: Previous studies demonstrated that induction chemotherapy (IC) followed by de-escalated chemoradiotherapy adapted to tumor response was effective in treating childhood nasopharyngeal carcinoma (NPC), but the toxicity profile of this
Dong-Hua Luo, Xiao-Yun Li, Shan-Shan Guo, Wan-Ping Guo, Li-Ting Liu, Hao-Yuan Mo, Ling Guo, Xiao-Fei Lv, Li-Zhi Liu, Ji-Bin Li, Qing Liu, Pan Wang, Xue-Song Sun, Sai-Lan Liu, Qiu-Yan Chen, Lin-Quan Tang, Hai-Qiang Mai   +16 more
doaj  

Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss [PDF]

arXiv, 2021
Nasopharyngeal Carcinoma (NPC) is a leading form of Head-and-Neck (HAN) cancer in the Arctic, China, Southeast Asia, and the Middle East/North Africa. Accurate segmentation of Organs-at-Risk (OAR) from Computed Tomography (CT) images with uncertainty information is critical for effective planning of radiation therapy for NPC treatment.
arxiv  

Machine learning of endoscopy images to identify, classify, and segment sinonasal masses

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background We developed and assessed the performance of a machine learning model (MLM) to identify, classify, and segment sinonasal masses based on endoscopic appearance. Methods A convolutional neural network‐based model was constructed from nasal endoscopy images from patients evaluated at an otolaryngology center between 2013 and 2024 ...
Lirit Levi, Kenan Ye, Maxime Fieux, Axel Renteria, Steven Lin, Lei Xing, Noel F. Ayoub, Zara M. Patel, Jayakar V. Nayak, Peter H. Hwang, Michael T. Chang   +10 more
wiley   +1 more source