Results 151 to 160 of about 1,583,856 (340)

Network systems biology for targeted cancer therapies [PDF]

Chinese Journal of Cancer, 2012
The era of targeted cancer therapies has arrived. However, due to the complexity of biological systems, the current progress is far from enough. From biological network modeling to structural/dynamic network analysis, network systems biology provides unique insight into the potential mechanisms underlying the growth and progression of cancer cells.
openaire   +3 more sources

Advancing Cancer Systems Biology: Introducing the Center for the Development of a Virtual Tumor, CViT [PDF]

, 2007
Thomas S. Deisboeck, Le Zhang, Seán Martin   +2 more
openalex   +1 more source

NanoCMSer: a consensus molecular subtype stratification tool for fresh‐frozen and paraffin‐embedded colorectal cancer samples

Molecular Oncology, EarlyView.
Consensus molecular subtypes (CMS1‐4) have been identified to study colorectal cancer heterogeneity and serve as potential biomarkers. In this study, we developed and evaluated NanoCMSer, a NanoString‐based classifier using 55 genes, optimized for FF and FFPE to facilitate the clinical evaluation of CMS subtyping.
Arezo Torang, Simone van de Weerd, Veerle Lammers, Sander van Hooff, Inge van den Berg, Saskia van den Bergh, Miriam Koopman, Jan N. IJzermans, Jeanine M. L. Roodhart, Jan Koster, Jan Paul Medema   +10 more
wiley   +1 more source

Gold Nanoparticles and Its Potential Applications in Cancer Research [PDF]

, 2009
2009 Spring Meeting of the NANOFANS Forum. Presented on May 1, 2009 from 11 am-2 pm in the Marcus Nanotechnology Building (Rooms 1116-1118) on the Georgia Tech campus.Cancer Nanotechnology: New Opportunities in Engineering and Medicine / Shuming Nie ...
El-Sayed, Mostafa A., McDonald, John F., Nie, Shuming   +2 more
core  

Patient-specific cancer genes contribute to recurrently perturbed pathways and establish therapeutic vulnerabilities in esophageal adenocarcinoma

Nature Communications, 2019
Identifying driver genes in unstable, heterogenous tumour types can be challenging. Here, Mourikis, Benedetti, Foxall and colleagues present a machine learning algorithm to tackle this problem in esophageal adenocarcinoma.
Thanos P. Mourikis, Lorena Benedetti, Elizabeth Foxall, Damjan Temelkovski, Joel Nulsen, Juliane Perner, Matteo Cereda, Jesper Lagergren, Michael Howell, Christopher Yau, Rebecca C. Fitzgerald, Paola Scaffidi, The Oesophageal Cancer Clinical and Molecular Stratification (OCCAMS) Consortium, Francesca D. Ciccarelli   +13 more
doaj   +1 more source

Obesity alters the fitness of peritumoral adipose tissue, exacerbating tumor invasiveness in renal cancer through the induction of ADAM12 and CYP1B1

Molecular Oncology, EarlyView.
Tumor microenvironment drives cancer formation and progression. We analyzed the role of human cancer‐associated adipocytes from patients with renal cell carcinoma (RCC) stratified as lean, overweight, or obese. RNA‐seq demonstrated that, among the most altered genes involved in the tumor–stroma crosstalk, are ADAM12 and CYP1B1, which were proven to be ...
Sepehr Torabinejad, Caterina Miro, Annarita Nappi, Francesco Del Giudice, Annunziata Gaetana Cicatiello, Serena Sagliocchi, Lucia Acampora, Federica Restolfer, Melania Murolo, Emery Di Cicco, Federico Capone, Ciro Imbimbo, Monica Dentice, Felice Crocetto   +13 more
wiley   +1 more source

A human skeletal muscle stem/myotube model reveals multiple signaling targets of cancer secretome in skeletal muscle

iScience, 2023
Summary: Skeletal muscle dysfunction or reprogramming due to the effects of the cancer secretome is observed in multiple malignancies. Although mouse models are routinely used to study skeletal muscle defects in cancer, because of species specificity of ...
Ruizhong Wang, Brijesh Kumar, Poornima Bhat-Nakshatri, Aditi S. Khatpe, Michael P. Murphy, Kristen E. Wanczyk, Edward Simpson, Duojiao Chen, Hongyu Gao, Yunlong Liu, Emma H. Doud, Amber L. Mosley, Harikrishna Nakshatri   +12 more
doaj  

Systems Biology and Cancer Prevention: All Options on the Table [PDF]

, 2008
Simon Rosenfeld, Izet M. Kapetanović
openalex   +1 more source

Dealing with complexity of biological systems: from data to models [PDF]

arXiv, 2014
Four chapters of the synthesis represent four major areas of my research interests: 1) data analysis in molecular biology, 2) mathematical modeling of biological networks, 3) genome evolution, and 4) cancer systems biology. The first chapter is devoted to my work in developing non-linear methods of dimension reduction (methods of elastic maps and ...
arxiv  

Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon

Molecular Oncology, EarlyView.
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran, Clarence Yapp, Gregory J. Baker, Johanna Beyer, Young Hwan Chang, Allison L. Creason, Robert Krueger, Jeremy Muhlich, Nathan Heath Patterson, Kevin Sidak, Damir Sudar, Adam J. Taylor, Luke Ternes, Jakob Troidl, Xie Yubin, Artem Sokolov, Darren R. Tyson   +16 more
wiley   +1 more source