Results 131 to 140 of about 433,923 (290)

Clinical Significance of a Cell-Of-Origin-Based Classification in Pancreatic Ductal Adenocarcinoma. [PDF]

Cancer Sci
Schematic overview of a cell‐of‐origin‐based classification of pancreatic ductal adenocarcinoma (PDAC), highlighting distinct biological features and therapeutic implications of Acinar‐ and Ductal‐subtypes. ABSTRACT Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, with limited therapeutic options and poor clinical ...
Kikuchi T, Ako S, Kato H, Kinugasa H, Uchida M, Oda T, Hirai R, Matsumi A, Miyamoto K, Terasawa H, Fujii Y, Uchida D, Matsumoto K, Tsutsumi K, Horiguchi S, Yasui K, Fuji T, Takagi K, Kato H, Honda T, Otsuka F, Otsuka M.   +21 more
europepmc   +2 more sources

Impact of Histopathological Response on Outcomes After Surgical Resection Following Carbon‐Ion Radiotherapy for Pancreatic Cancer With Arterial Involvement

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Aim Carbon‐ion radiotherapy (CIRT) provides superior dose distribution and higher biological effectiveness than conventional X‐ray radiotherapy and has emerged as a promising component of multidisciplinary treatment for advanced pancreatic ductal adenocarcinoma (PDAC).
Kenichiro Araki, Norio Kubo, Yuhei Miyasaka, Hayato Ikota, Ryo Muranushi, Mariko Tsukagoshi, Takamichi Igarashi, Masahiko Okamoto, Tatsuya Ohno, Ken Shirabe   +9 more
wiley   +1 more source

A DNA G‐Quadruplex‐Targeting Ligand Suppresses c‐MYC Expression: Implications for Gemcitabine‑Resistant Pancreatic Cancer

Angewandte Chemie, EarlyView.
PQB‐4, a fluorescent small‐molecule ligand that targets c‐MYC DNA G‐quadruplexes (G4s), showed marked synergy with gemcitabine in resistant PANC‐1 cells (CI = 0.027). In vivo, the ligand reduced tumor weight by 44% in a PANC‐1 xenograft model. These results highlight the therapeutic potential of c‐MYC DNA G4‐targeting ligands for treating gemcitabine ...
Bo‐Xin Zheng, Ya‐Kun Wang, Ze‐Xin Chen, Yi‐Wen Meng, Meng‐Ting She, Jia‐Peng Dong, Yingying Zheng, Yao‐Xun Zeng, Wen‐De Zheng, Wei Long, Wing‐Leung Wong   +10 more
wiley   +2 more sources

Achievement of the Ideal Outcome After Pancreatectomy for Pancreatic Ductal Adenocarcinoma Is Associated With Earlier Initiation and Higher Completion Rates of Adjuvant Chemotherapy and Improved Long‐Term Survival

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background The Ideal Outcome is a composite quality indicator reflecting optimal postoperative course after pancreatic surgery. This study aimed to clarify the prognostic significance of achieving the Ideal Outcome and its influence on the initiation and completion of adjuvant chemotherapy.
Ryosuke Fukushima, Kenichiro Araki, Ryo Muranushi, Kouki Hoshino, Kei Hagiwara, Shunsuke Kawai, Mariko Tsukagoshi, Takamichi Igarashi, Norio Kubo, Ken Shirabe   +9 more
wiley   +1 more source

CD86‐Positive Mature Tertiary Lymphoid Structures Are Associated With CD8+ T‐Cell Infiltration and Favorable Clinical Outcomes in Pancreatic Ductal Adenocarcinoma

Annals of Gastroenterological Surgery, EarlyView.
CD86‐positive mature tertiary lymphoid structures were associated with increased intratumoral CD8+ T‐cell infiltration, a higher proportion of Granzyme B‐expressing CD8+ T cells in an exploratory analysis, and favorable clinical outcomes in pancreatic ductal adenocarcinoma.
Takaomi Seki, Kenichiro Araki, Takehiko Yokobori, Hayato Ikota, Norio Kubo, Takamichi Igarashi, Mariko Tsukagoshi, Norihiro Ishii, Yasuo Hosouchi, Hiroshi Saeki, Ken Shirabe   +10 more
wiley   +1 more source

Novel machine‐learning model for predicting lymph node metastasis in resectable pancreatic ductal adenocarcinoma

Annals of Gastroenterological Surgery
Aim Lymph node metastasis is an adverse prognostic factor in pancreatic ductal adenocarcinoma. However, it remains a challenge to predict lymph node metastasis using preoperative imaging alone.
Susumu Daibo, Yuki Homma, Hiroki Ohya, Hironori Fukuoka, Kentaro Miyake, Mayumi Ozawa, Takafumi Kumamoto, Ryusei Matsuyama, Yusuke Saigusa, Itaru Endo   +9 more
doaj   +1 more source

ViTAMIn‐O: Democratizing Computer Vision‐Based Machine Learning for Stem Cell Research

Advanced Intelligent Systems, EarlyView.
This study introduces a fully open generalist computer vision model for predicting the differentiation outcomes of stem cell‐based model systems, together with its code‐free deployment platform, ColabViTAMIn‐O. It is benchmarked against various architectures, datasets, and training protocols.
Ferhat Hamurcu, Markus Breunig, Arpad Varga, Bianka Bosch, Jessica Lindenmayer, Anjan T. Kanakappady, Kevin Achberger, Natalia Pashkovskaia, Alexander Kleger, Stefan Liebau, Stefanie Klingenstein, Moritz Klingenstein   +11 more
wiley   +1 more source

Synchronous Pancreatic Ductal Adenocarcinomas Diagnosed by Endoscopic Ultrasound-Guided Fine Needle Biopsy

Gut and Liver, 2015
Cases of pancreatic ductal adenocarcinoma with multiple masses accompanying underlying pancreatic diseases, such as intraductal papillary mucinous neoplasm, have been reported.
doaj   +1 more source

Photodynamic therapy for cancer of the pancreas [PDF]

, 2002
Background: Few pancreatic cancers are suitable for surgery and few respond to chemoradiation. Photodynamic therapy produces local necrosis of tissue with light after prior administration of a photosensitising agent, and in experimental studies can be ...
Lovat, L.B., Hatfield, A.W.R., Rogowska, A.Z., Wyld, P., Gillams, A., Jones, L., Bown, S.G., Ripley, P., Whitelaw, D.E., Lees, W.R.   +9 more
core  

Deep Learning Classification of Pancreatic Cancer Cells Over a Progression of Epithelial to Mesenchymal States by Deformability Cytometry Under Microfluidic Viscoelastic Flows

Advanced Intelligent Systems, EarlyView.
Cancer cells progressively spread over intermediate epithelial‐to‐mesenchymal transition states that cause nuclear enlargement and circular redistribution of filamentous vimentin are classified by deformability cytometry coupled to a multi‐region deep learning model with convolutional feature extraction and attention‐based regional aggregation.
Javad Jarmoshti, Hanyuan Gao, Negin Zeinali, Abdullah‐Bin Siddique, Sara J. Adair, Todd W. Bauer, Matthew J. Lazzara, Xiaoxuan Yang, Nathan S. Swami   +8 more
wiley   +1 more source