Results 51 to 60 of about 1,578,331 (336)

A network approach reveals driver genes associated with survival of patients with triple-negative breast cancer

iScience, 2021
Summary: We aimed to identify triple-negative breast cancer (TNBC) drivers that regulate survival time as predictive signatures that improve TNBC prognostication.
Courtney D. Dill, Eric B. Dammer, Ti'ara L. Griffen, Nicholas T. Seyfried, James W. Lillard, Jr.   +4 more
doaj  

Systems biology and cancer: Promises and perils [PDF]

Progress in Biophysics and Molecular Biology, 2011
Systems biology uses systems of mathematical rules and formulas to study complex biological phenomena. In cancer research there are three distinct threads in systems biology research: modeling biology or biophysics with the goal of establishing plausibility or obtaining insights, modeling based on statistics, bioinformatics, and reverse engineering ...
Barnett S. Kramer, Stuart G. Baker
openaire   +2 more sources

Development of OX40 agonists for canine cancer immunotherapy

iScience, 2022
Summary: Recent breakthroughs in cancer immunotherapy have provided unprecedented clinical benefits to human cancer patients. Cancer is also one of the most common causes of death in pet dogs.
Damien Ruiz, Chloe Haynes, Jonathan Marable, Chetan Pundkar, Rebecca L. Nance, Deepa Bedi, Payal Agarwal, Amol S. Suryawanshi, Amarjit Mishra, Bruce F. Smith, Maninder Sandey   +10 more
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Tumor microenvironment mimicking 3D models unveil the multifaceted effects of SMAC mimetics

iScience, 2023
Summary: Small molecule IAP antagonists - SMAC mimetics (SM) - are being developed as an anticancer therapy. SM therapy was demonstrated not only to sensitize tumor cells to TNFα-mediated cell death but also to exert immunostimulatory properties.
Catarina Pinto, Ksenija Slavic-Obradovic, Daniela Fürweger, Barbara Thaler, Abdallah Souabni, Sebastian Carotta, Martin Aichinger, Ulrich Reiser, Maria Antonietta Impagnatiello, Iñigo Tirapu   +9 more
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Combining Bayesian Approaches and Evolutionary Techniques for the Inference of Breast Cancer Networks [PDF]

, 2016
Gene and protein networks are very important to model complex large-scale systems in molecular biology. Inferring or reverseengineering such networks can be defined as the process of identifying gene/protein interactions from experimental data through ...
Beretta, Stefano, Castelli, Mauro, Goncalves, Ivo, Merelli, Ivan, Ramazzotti, Daniele   +4 more
core   +2 more sources

Integration of proteomics into systems biology of cancer [PDF]

WIREs Systems Biology and Medicine, 2012
AbstractDeciphering the complexity and heterogeneity of cancer, benefits from integration of proteomic level data into systems biology efforts. The opportunities available as a result of advances in proteomic technologies, the successes to date, and the challenges involved in integrating diverse datasets are addressed in this review.
Mark J. Schliekelman, Qing Zhang, Samir M. Hanash, Ayumu Taguchi   +3 more
openaire   +3 more sources

Pioneer factors in development and cancer

iScience, 2021
Summary: Transcription factors (TFs) are essential mediators of epigenetic regulation and modifiers of penetrance. Studies from the past decades have revealed a sub-class of TF that is capable of remodeling closed chromatin states through targeting ...
Benjamin D. Sunkel, Benjamin Z. Stanton
doaj  

Assessing the carcinogenic potential of low-dose exposures to chemical mixtures in the environment: the challenge ahead. [PDF]

, 2015
Lifestyle factors are responsible for a considerable portion of cancer incidence worldwide, but credible estimates from the World Health Organization and the International Agency for Research on Cancer (IARC) suggest that the fraction of cancers ...
Ab Hamid, Hasiah, Abd Hamid, Roslida, Ahmed, Nuzhat, Al-Mulla, Fahd, Al-Temaimi, Rabeah, Ali, Abdul Manaf, Amedei, Amedeo, Andrade-Vieira, Rafaela, Azqueta, Amaya, Baglole, Carolyn J., Barclay, Barry J., Bay, Sarah N., Berg, Arthur, Bisson, William H., Blanco-Aparicio, Carmen, Brooks, Samira A., Brown, Dustin G., Brunborg, Gunnar, Calaf, Gloria M., Carlin, Danielle J., Carnero, Amancio, Carpenter, David O., Casey, Stephanie C., Castellino, Robert C., Chapellier, Marion, Charles, Amelia K., Chen, Tao, Chen, Zhenbang, Cheng, Qiang (Shawn), Chiaradonna, Ferdinando, Christopher, Joseph A., Cohen-Solal, Karine A., Colacci, Annamaria, Collins, Andrew R., Corsini, Emanuela, Cruickshanks, Nichola, Curran, Colleen S., D'Abronzo, Leandro S., Darbre, Philippa, Darroudi, Firouz, de Cerain Salsamendi, Adela Lopez, Decker, William K., Dent, Paul, Di Fiore, Riccardo, Dong, Chenfang, Dormoy, Valerian, Dornetshuber-Fleiss, Rita, Eltom, Sakina, Engstrom, Wilhelm, Eriksson, Staffan, Felsher, Dean W., Fernando Martinez-Leal, Juan, Forte, Stefano, Ghosh, Paramita M., Gilbertson, Michael, Goldberg, Gary S., Gonzalez, Laetitia, Gonzalez, Michael J., Goodson, William H, Guarnieri, Tiziana, Gulliver, Linda, Harris, Shelley A., Heneberg, Petr, Hsu, Chia-Wen, Hsu, Hsue-Yin, Hu, Zhiwei, Hultman, Tove, III, Jian, Le, Karamouzis, Michalis V., Khatami, Mahin, Kirsch-Volders, Micheline, Klaunig, James E., Kleinstreuer, Nicole, Koch, Daniel C., Kondoh, Hiroshi, Koppen, Gudrun, Koturbash, Igor, Kravchenko, Julia, Krishnakumar, P. K., Krishnan, Harini, Kuemmerle, Nancy B., Laconi, Ezio, Laird, Dale W., Langie, Sabine A. S., Lasfar, Ahmed, Lee, Tae-Jin, Leung, Po Sing, Leyns, Luc, Li, Lin, Lin, Liang-Tzung, Lleonart, Matilde, Lowe, Leroy, Luanpitpong, Sudjit, Luqmani, Yunus, Lyerly, H. Kim, Maguer-Satta, Veronique, Manjili, Masoud H., Marignani, Paola A., Marongiu, Fabio, Martin, Francis L., Massfelder, Thierry, McCawley, Lisa J., Mehta, Rekha, Memeo, Lorenzo, Miousse, Isabelle R., Mondello, Chiara, Moon, Eun-Yi, Moorwood, Kim, Nahta, Rita, Nangami, Gladys, Nangia-Makker, Pratima, Narayanan, Kannan Badri, Naus, Christian C., Ochieng, Josiah, Odero-Marah, Valerie, Ogunkua, Olugbemiga, Olsen, Ann-Karin, Ostrosky-Wegman, Patricia, Otsuki, Takemi, Palorini, Roberta, Papagerakis, Silvana, Park, Hyun Ho, Pavanello, Sofia, Ponce-Cusi, Richard, Prudhomme, Kalan R., Raju, Jayadev, Rathmell, W. Kimryn, Ratovitski, Edward, Robey, R. Brooks, Rojanasakul, Yon, Rojas, Emilio, Roman, Jesse, Romano, Maria Fiammetta, Romano, Simona, Roy, Debasish, Roy, Rabindra, Ryan, Elizabeth P., Ryeom, Sandra, Sabbisetti, Venkata, Salem, Hosni K., Salzberg, Anna C., Sanderson, Thomas, Scovassi, A. Ivana, Singh, Neetu, Sinha, Ranjeet K., Sone, Hideko, Soucek, Laura, Sun, Jun, Thompson, Patricia, Vaccari, Monica, Vadgama, Pankaj, Valverde, Mahara, van Larebeke, Nik, Van Schooten, Frederik J., Vento, Renza, Vermeulen, Louis, Vondracek, Jan, Wade, Mark, Wagemaker, Gerard, Ward, Andrew, Weisz, Judith, Whitfield, Jonathan R., Williams, Graeme, Williams, Marc A., Wise, John Pierce, Sr., Wise, Sandra S., Wolf, Gregory T., Woodrick, Jordan, Xia, Menghang, Yasaei, Hemad, Yedjou, Clement, Zhang, Luoping, Zhou, Binhua P.   +173 more
core   +11 more sources

Cellular and molecular effects of PNCK, a non-canonical kinase target in renal cell carcinoma

iScience, 2022
Summary: Renal cell carcinoma (RCC) is a fatal disease when advanced. While immunotherapy and tyrosine kinase inhibitor-based combinations are associated with improved survival, the majority of patients eventually succumb to the disease.
Derek J. Essegian, Valery Chavez, Floritza Bustamante, Stephan C. Schürer, Jaime R. Merchan   +4 more
doaj  

RUNX1 colludes with NOTCH1 to reprogram chromatin in T cell acute lymphoblastic leukemia

iScience, 2023
Summary: Runt-related transcription factor 1 (RUNX1) is oncogenic in diverse types of leukemia and epithelial cancers where its expression is associated with poor prognosis. Current models suggest that RUNX1 cooperates with other oncogenic factors (e.g.,
Rashedul Islam, Catherine E. Jenkins, Qi Cao, Jasper Wong, Misha Bilenky, Annaïck Carles, Michelle Moksa, Andrew P. Weng, Martin Hirst   +8 more
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