Results 251 to 260 of about 366,025 (373)

Deciphering the Role of ADAMTS6 in the Epithelial-Mesenchymal Transition of Lung Adenocarcinoma Cells. [PDF]

Int J Mol Sci
Odarenko KV, Matveeva AM, Stepanov GA, Zenkova MA, Markov AV.   +4 more
europepmc   +1 more source

Identification and Validation of an EMT-Related LncRNA Signature for HNSCC to Predict Survival and Immune Landscapes

, 2022
Chunyu Feng, Shaopeng Liu, Z. J. Shang
openalex   +1 more source

Intratumoral Fusobacterium nucleatum Drives Cancer‐Associated Fibroblasts Enrichment and Immune Exclusion in Esophageal Squamous Cell Carcinoma

Annals of Gastroenterological Surgery, EarlyView.
Fusobacterium nucleatum contributes to the progression of ESCC by inducing NF‐κB–mediated inflammatory signaling in tumor cells and promoting CAFs activation. Its presence may facilitate immune exclusion and tumor invasion through stromal remodeling. Furthermore, F.
Takashi Ofuchi, Qingjiang Hu, Kazuki Omachi, Kosuke Kanemitsu, Hajime Otsu, Yusuke Yonemura, Taro Tobo, Yoshifumi Baba, Masaaki Iwatsuki, Koshi Mimori   +9 more
wiley   +1 more source

Epithelial-Mesenchymal Transition Increases the Susceptibility of Human A549 Cells to Nanosecond Pulsed Electric Fields. [PDF]

Int J Mol Sci
Mitsui M, Morotomi-Yano K, Yano KI.
europepmc   +1 more source

EMT markers gene expression in BPIFB2 overexpressed gastric cancer cell lines [PDF]

, 2018
Zeti Karim, Nur Ainie Tasnim Muhamad Zulkifli, Siti Hamimah Sheikh Abdul Kadir, K. Abd Khalil, M.Z. Musa   +4 more
openalex   +1 more source

EMTS 2019 [PDF]

IEEE Antennas and Propagation Magazine, 2018
openaire   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

SOX11 Is Regulated by EGFR-STAT3 and Promotes Epithelial-Mesenchymal Transition in Head and Neck Squamous Cell Carcinoma. [PDF]

Cells
Peng J, Cui L, Guo M, Liu Y, Jia W, Misuno K, Barrett J, Messadi D, Yang SF, Hu S.   +9 more
europepmc   +1 more source

RPSLearner: A Novel Approach Based on Random Projection and Deep Stacking Learning for Categorizing Non‐Small Cell Lung Cancer

Advanced Intelligent Systems, EarlyView.
Identifying non‐small cell lung cancer (NSCLC) subtypes is essential for precision cancer treatment. Conventional methods are laborious, or time‐consuming. To address these concerns, RPSLearner is proposed, which combines random projection and stacking ensemble learning for accurate NSCLC subtyping. RPSLearner outperforms state‐of‐the‐art approaches in
Xinchao Wu, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Non‑coding RNAs in epithelial‑mesenchymal transition of renal cell carcinoma (Review). [PDF]

Mol Med Rep
Liu Z, Zhou H, Shen J, Qi Y, Gong X, Zhang C.   +5 more
europepmc   +1 more source