Results 141 to 150 of about 442,874 (256)

DNA methylation and expression of MAPRE3 affect overall survival of early‐stage non‐small cell lung cancer patients

Molecular Oncology, EarlyView.
Both cg12821679MAPRE3 methylation and MAPRE3 expression are significantly associated with overall survival (OS) of non‐small cell lung cancer. Meanwhile, MAPRE3 expression significantly modified the effect of smoking cessation on OS. Smoking cessation benefits OS merely for patients with high MAPRE3 expression.
Chao Chen, Jiancheng Cheng, Ruili Hou, Xiaoyuan Zheng, Li Su, Maria Moksnes Bjaanæs, Anna Karlsson, Maria Planck, Johan Staaf, Åslaug Helland, Manel Esteller, David C. Christiani, Feng Chen, Xiaofei Cao, Ruyang Zhang   +14 more
wiley   +1 more source

Web-Based Sustainable Detection and Treatment Recommendation System for Wheat Plant Diseases Using Convolutional Neural Networks. [PDF]

Food Sci Nutr
Abbasi NG, Nazir AK, Ali S, Iqbal H, Ali A, Shah AA, Abbas S, Khan MA.   +7 more
europepmc   +1 more source

Challenges of bacteriophages application in controlling bacterial plant diseases and how to overcome them. [PDF]

J Genet Eng Biotechnol, 2023
Halawa EM.
europepmc   +1 more source

Circulating tumor cell viability during and after radiotherapy mirrors treatment response in cancer patients

Molecular Oncology, EarlyView.
Radiotherapy (RT) response depends on the DNA repair capacity of tumor and host cells. We show that circulating tumor cell (CTC) counts and apoptosis rates before and after RT predict treatment response and outcome, which can be accessed via easily accessible liquid biopsy approaches. Created in BioRender. Wikman, H.
Yvonne Goy, Jana Löptien, Cornelia Coith, Afroditi Nanou, Katharina Hintelmann, Pinnschmidt Hans, Cordula Petersen, Klaus Pantel, Sabine Riethdorf, Kerstin Borgmann, Harriet Wikman   +10 more
wiley   +1 more source

Phytochemical characterisation and antifungal activities of five botanicals used by subsistence farmers to manage plant diseases. [PDF]

Sci Rep
Mwinga JL, Otang-Mbeng W, Kubheka BP, Pfukwa TM, Fawole OA, Aremu AO.   +5 more
europepmc   +1 more source

Knowledge Distillation Facilitates the Lightweight and Efficient Plant Diseases Detection Model. [PDF]

Plant Phenomics, 2023
Huang Q, Wu X, Wang Q, Dong X, Qin Y, Wu X, Gao Y, Hao G.   +7 more
europepmc   +1 more source

Clinical performance of the urine‐based TERT promoter AbsoluteQ Digital PCR for non‐invasive detection of bladder cancer

Molecular Oncology, EarlyView.
A urine‐based digital PCR assay targeting two hotspot TERT promoter variants detected bladder cancer with high sensitivity and no false positives in this case–control cohort. The streamlined AbsoluteQ workflow outperformed Sanger sequencing and supports non‐invasive molecular testing for bladder cancer detection.
Anna Nykel, Izabela Kubiak, Lena Rutkowska, Żaneta Kasprzyk, Łukasz Kępczyński, Michał Bednarek, Dariusz Sobieraj, Jacek Wilkosz, Piotr Kania, Adam Jędrzejczyk, Bogdan Kałużewski, Agnieszka Gach, Tadeusz Kałużewski   +12 more
wiley   +1 more source

Improving RGB image recognition in the YOLO11n algorithm for accurate detection of tea plant diseases. [PDF]

J Zhejiang Univ Sci B
Tao J, Li X, Zhang J, Shoaib M, Islam MA, Ahmad I, He Y, Ye S, Wang Y, Liao B, Gouda M.   +10 more
europepmc   +1 more source

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

Molecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska, Stephany Gallardo, Nur S. Zainal, Leena Arora, Matthew Ellis, Maria‐Antoinette Lopez, Judith Austine, Sai Pittla, Serena J Chee, Aiman Alzetani, Emily C Shaw, Christian H Ottensmeier, Gareth J Thomas, Christopher J Hanley   +13 more
wiley   +1 more source

ST-CFI: Swin Transformer with convolutional feature interactions for identifying plant diseases. [PDF]

Sci Rep
Yu S, Xie L, Dai L.
europepmc   +1 more source