Results 171 to 180 of about 15,770,266 (354)
Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer
Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gábor Balázsi, Thomas MacCarthy, Scott Powers +9 morewiley +1 more sourceαKLOTHO and sTGFβR2 treatment counteract the osteoarthritic phenotype developed in a rat model
Protein & Cell, 2020 Paloma Martinez-Redondo, Isabel Guillen-Guillen, Noah Davidsohn, Chao Wang, Javier Prieto, Masakazu Kurita, Fumiyuki Hatanaka, Cuiqing Zhong, Reyna Hernandez-Benitez, Tomoaki Hishida, Takashi Lezaki, Akihisa Sakamoto, Amy N. Nemeth, Yuriko Hishida, Concepcion Rodriguez Esteban, Kensaku Shojima, Ling Huang, Maxim Shokhirev, Estrella Nuñez-Delicado, Josep M. Campistol, Isabel Guillen-Vicente, Elena Rodriguez-Iñigo, Juan Manuel Lopez-Alcorocho, Marta Guillen-Vicente, George Church, Pradeep Reddy, Pedro Guillen-Garcia, Guang-Hui Liu, Juan Carlos Izpisua Belmonte +28 moredoaj +1 more sourceCOMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells
Molecular Oncology, EarlyView.This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.Konstantinos S. Papadakos, Gilar Gorji‐bahri, Lejla Gradjan, Julia Zajac, Kacper Gil, Yvonne Thokozile Nduku, Anna M. Blom +6 morewiley +1 more sourceEDNRB‐dependent endothelin signaling reduces proliferation and promotes proneural‐to‐mesenchymal transition in gliomas
Molecular Oncology, EarlyView.Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated Donovan Pineau, Leonor Garcia, Hugo Arnold, Antonija Hanžek, Maialen Arrieta, Laurent R Gauthier, Christine Granotier‐Beckers, François D Boussin, Amaury Herbet, Marie Hautière, Valentin Asei‐Ceschino, Clémentin Jacques, Laura Brard, Thomas Harnois, Valérie Coronas, Bruno Constantin, Aurélien Chatelier, Jean Chemin, Serge Urbach, Martial Seveno, Szimonetta Hideg, Chantal Ripoll, Kasandra Aguilar‐Cázarez, Min Zheng, Guo‐Hao Huang, Sheng‐Qing Lv, Lei Zhang, Philippe Rondard, Laurent Prezeau, Jean‐Philippe Pin, Hugues Duffau, Luc Bauchet, Valérie Rigau, Franck Denat, Charles Truillet, Didier Boquet, Jean‐Philippe Hugnot +36 morewiley +1 more sourceA gene-expression signature as a predictor of survival in breast cancer.
New England Journal of Medicine, 2002 M. J. van de Vijver, Yudong He, L. J. van ’t Veer, H. Dai, A. Hart, D. Voskuil, G. Schreiber, J. Peterse, C. Roberts, M. Marton, M. Parrish, D. Atsma, A. Witteveen, A. Glas, L. Delahaye, Tony van der Velde, H. Bartelink, S. Rodenhuis, E. Rutgers, S. Friend, René Bernards +20 moresemanticscholar +1 more sourceEngineered extracellular vesicles enriched with the miR‐214/199a cluster enhance the efficacy of chemotherapy in ovarian cancer
Molecular Oncology, EarlyView.Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...Weida Wang, Ayesha Alvero, Yi Qin, Mingjin Wang, Alexandra Fox, Yanfeng Li, Michael Millman, Amy Kemper, Gil Mor, Xian Shuang Liu, Michael Chopp, Zheng Gang Zhang, Yi Zhang +12 morewiley +1 more sourceRepeated observation of breast tumor subtypes in independent gene expression data sets
Proceedings of the National Academy of Sciences of the United States of America, 2003 T. Sørlie, R. Tibshirani, Joel Parker, T. Hastie, J. Marron, A. Nobel, Shibing Deng, H. Johnsen, Robert Pesich, S. Geisler, J. Demeter, C. Perou, P. Lønning, P. Brown, A. Børresen-Dale, D. Botstein +15 moresemanticscholar +1 more sourceInterrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer
Molecular Oncology, EarlyView.COLOSSUS project RAS‐mutated MSS colon cancer study explored transcriptomics and immune cell density by immunohistochemistry (IHC), Immunoscore (IS), ISIC/TuLIS scores, mutation counts, and detected different prevalences but similar microenvironment composition across immune markers with clinical relevance for future immunotherapy combination ...Rodrigo Dienstmann, Eduardo García‐Galea, Alice O'Farrell, Zak Kinsella, Maxime Meylan, Florent Petitprez, Ingrid Arijs, Tom Venken, Hari Ps, Adrian Lärkeryd, Ian Miller, Janick Selves, Nadja Meindl‐Beinker, Fiorella Ruiz‐Pace, Elena Élez, Raquel Comas‐Navarro, Frank Lincoln, Dirk Fey, Gift Nyamundanda, Aoife Nolan, Joern Lewin, Raquel Perez‐Lopez, Jonathan Briody, Kathleen Bennett, Walter Kolch, David Matallanas, Alexander Kel, Enrique Arenas, Joaquín Arribas, Bart Ghesquière, Josep Tabernero, Julie Meilleroux, Deborah McNamara, Ray McDermott, Marvin Lim, Mary O'Reilly, Brian Bird, Lisa Stack, Lucia Moloney, Patrick Morris, Keith Egan, Maciej Milewski, Lars Scheuer, Joachim Behringer, Georg Bolz, Ramon Salazar, Cristina Santos, Andrea Ruiz, Orla Casey, Verena Murphy, Matthias Ebert, Livio Trusolino, Diether Lambrechts, Anguraj Sadanandam, Catherine Sautès‐Fridman, Jochen Prehn, Paolo Nuciforo, Jacques Fieschi, Florence Monville, Darran O'Connor, Wolf Fridman, Annette Byrne +61 morewiley +1 more sourceSpectral analysis of gene expression profiles using gene networks
, 2006 Microarrays have become extremely useful for analysing genetic phenomena, but
establishing a relation between microarray analysis results (typically a list
of genes) and their biological significance is often difficult.Barillot, Emmanuel, Dutreix, Marie, Rapaport, Franck, Vert, Jean-Philippe, Zinovyev, Andrei +4 morecore +1 more source
