Results 71 to 80 of about 490,488 (261)

Pharmacological inhibition of the PERK pathway modulates hepatocellular carcinoma growth and immune signaling

FEBS Open Bio, EarlyView.
Pharmacological inhibition of PERK in a DEN‐induced mouse model of liver cancer does not reduce tumor burden but alters cellular stress signaling. Despite blocking PERK activity, downstream stress responses, including CHOP expression, remain active, suggesting compensatory mechanisms within the unfolded protein response that may influence tumor ...
Ada Lerma‐Clavero, Maria Kopsida, Nathalie Arendt, Hans Lennernäs, Markus Sjöblom, Femke Heindryckx   +5 more
wiley   +1 more source

Tumor angiogenic switch determines sustained proliferative malignant transformation in tumorigenesis and overlaps with para-inflammatory phenomena [PDF]

, 2015
Contextual BCR-ABL tyrosine kinase over-activity determines in formulated fashion the emergence of proliferation and anti-apoptosis that arise largely as derived phenomena of otherwise homeostatic mechanisms of the c-ABL gene within hematopoietic ...
Agius, Lawrence M.
core  

Impact of HuR inhibition by the small molecule MS-444 on colorectal cancer cell tumorigenesis. [PDF]

, 2016
Colorectal cancer (CRC) is the third most common cancer and a leading cause of cancer-related mortality. Observed during CRC tumorigenesis is loss of post-transcriptional regulation of tumor-promoting genes such as COX-2, TNFα and VEGF. Overexpression of
Aguado, Andrea, Anant, Shrikant, Blanco, Fernando F., Brody, Jonathan R., Dixon, Dan A., Meisner-Kober, Nicole, Padhye, Subhash, Preet, Ranjan, Stevens, Laura E., Vishwakarma, Vikalp, Vyas, Alok, Weir, Scott J., Xu, Liang   +12 more
core   +2 more sources

Adhesion GPCRs in Tumorigenesis [PDF]

, 2016
Alterations in the homeostasis of several adhesion GPCRs (aGPCRs) have been observed in cancer. The main cellular functions regulated by aGPCRs are cell adhesion, migration, polarity, and guidance, which are all highly relevant to tumor cell biology. Expression of aGPCRs can be induced, increased, decreased, or silenced in the tumor or in stromal cells
Gabriela, Aust, Dan, Zhu, Erwin G, Van Meir, Lei, Xu   +3 more
openaire   +2 more sources

Aquaporin‐3 and aquaporin‐5 impact the development of pancreatic ductal adenocarcinoma spheroids

FEBS Open Bio, EarlyView.
Schematic representation of the role of aquaporin‐3 (AQP3) and aquaporin‐5 (AQP5) in pancreatic ductal adenocarcinoma (PDAC). Both proteins are upregulated in PDAC and are associated with tumor progression and metastatic potential. Silencing AQP3 or AQP5 in PDAC spheroids results in decreased diameter, area, and overall growth, underscoring their key ...
Catarina Pimpão, Diogo M. Engrácia, Graça Soveral, Filipa Mendes   +3 more
wiley   +1 more source

Predictive genomics: A cancer hallmark network framework for predicting tumor clinical phenotypes using genome sequencing data

, 2014
We discuss a cancer hallmark network framework for modelling genome-sequencing data to predict cancer clonal evolution and associated clinical phenotypes.
Masoudi-Nejad, Ali, Mcgee, Shauna, Milanese, Jean-Sébastien, O'Connor, Maureen, Wang, Edwin, Zaman, Naif   +5 more
core   +1 more source

JNK signalling in cancer: In need of new, smarter therapeutic targets [PDF]

, 2013
Copyright © 2013 The British Pharmacological Society. This is the accepted version of the following article: Bubici, C. and Papa, S. (2014), JNK signalling in cancer: in need of new, smarter therapeutic targets.
Adams, Ahmed, Anbalagan, Annunziata, Antonyak, Bain, Barbarulo, Barr, Behrens, Bennett, Bharti, Bogoyevitch, Bogoyevitch, Borsello, Bost, Carboni, Cazanave, Cellurale, Cellurale, Cellurale, Chang, Chang, Chauhan, Chen, Chen, Chen, Chen-Deutsch, Cho, Choi, Chromik, Cilloni, Cripe, Cui, Cui, Das, Davis, Deininger, Dérijard, Eferl, Estey, Farazi, Ferrandi, Finegan, Fuchs, Gaillard, Gao, Gao, Gilmore, Goenka, Graff, Gururajan, Hagiwara, He, Heo, Hess, Hideshima, Hideshima, Hideshima, Hirosumi, Ho, Huang, Hui, Hunot, Jaeschke, Jagtap, Jemal, Johnson, Kamenecka, Kaneto, Kaoud, Ke, Keats, Kersting, Kuan, Kuperwasser, Li, Llovet, Lloyd, LoGrasso, Luedde, Maclean, Maeda, Mamay, Manning, Manning, Min, Mucha, Murati, Nagata, Nateri, Ngoei, Ngoei, Nitta, Oleinik, Owens, Papa, Papa, Plantevin Krenitsky, Qiu, Raitano, Reinecke, Ricard, Rodrigues, Ronaldson, Roy, Sabapathy, Sakurai, Schramek, Seki, She, Siddiqui, Smeal, Srivastava, Stebbins, Su, Su, Szczepankiewicz, Takahashi, Tong, Tournier, Tsuiki, Waetzig, Wagner, Wang, Wang, Webster, Whitmarsh, Whitmarsh, Yamamoto, Yan, Yang, Yao, Yoon, Yoshida, Zhang, Zhang, Zhang, Zhang   +137 more
core   +2 more sources

Natural Products as Geroprotective Modulators in Diabetic Nephropathy: A Mechanistic Framework Integrating Aging Hallmarks and the AMPK–SIRT1–Nrf2 Axis

Aging and Cancer, EarlyView.
Natural products target the aging kidney in diabetic nephropathy by restoring the AMPK–SIRT1–Nrf2 axis, reducing oxidative stress, inflammation, fibrosis, and cellular senescence while enhancing mitochondrial biogenesis and antioxidant defenses.
Sherif Hamidu, Latif Adams, Eunice Ampem‐Danso, Justice Kumi, Abigail Aning, Fatima Hamidu, Mustapha Abdul Mumin Mohammed, Ayuba Nii Darku Ankrah, Seth Kwabena Amponsah   +8 more
wiley   +1 more source

Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang, Dongxu Zhang, Dongyuan Liu, Da Lin, Hao Wang   +4 more
wiley   +1 more source

Therapeutic target discovery using Boolean network attractors: improvements of kali

, 2018
In a previous article, an algorithm for identifying therapeutic targets in Boolean networks modeling pathological mechanisms was introduced. In the present article, the improvements made on this algorithm, named kali, are described.
Guziolowski, Carito, Poret, Arnaud
core   +2 more sources