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The CTD² Network and Cancer Systems Biology Consortium organized a virtual symposium series titled “Multidisciplinary Approaches to Understand Cancer Treatment Resistance”. Please join us on 11/16, 11/17, 12/2, 12/16, and 12/17. Click here to view the registration website.

Publications

644 Publications Available
Cancer Discovery

Researchers quantitatively measured the sensitivity of hundreds of cancer cell lines to a panel of small molecules, and created a publicly-available portal to disseminate the results.

Journal of Genetics and Genomics

This review, we focus on the discovery, structure and function, and therapeutic implication of three of these adaptor oncogenes, CRKLGAB2, and FRS2.

eLife

Homodimers of the p85α regulatory subunit stabilize PTEN and enhance its activity, thereby supressing PI3K activity.

Nature Genetics

Researchers identify a substantial fraction of human NSCLCs activates an NRF2-dependent transcriptional program that regulates serine and glycine metabolism and is linked to clinical aggressiveness.

Molecular Cell

Researcher report on an unexpected role for Phosphoenolpyruvate carboxykinase (PEPCK) in promoting cancer cell proliferation in vitro and in vivo by increasing glucose and glutamine utilization toward anabolic metabolism.

Elife

Researchers discucss asparagine reliance of sarcoma cells may represent a metabolic vulnerability with potential anti-sarcoma therapeutic value.

Nature Genetics

Researchers show that the androgen receptor cistrome undergoes extensive reprogramming during prostate epithelial transformation in man and establish the centrality of epigenetic reprogramming in human prostate tumorigenesis.

Nature Communications

Investigators used ultra-pH-sensitive nanoparticles to study endosomes and lysosomes.

Cold Spring Harbor Protocols

The combination of chemical carcinogens with genetically engineered mouse models has emerged as an invaluable approach to study the complex interaction between genotype and environment that contributes to cancer development.

Cell Reports

The authors used network-based analysis of treatment signatures from GEM models to identify treatment-responsive genes in human prostate cancer that are potential biomarkers of patient response.