Included here is a list of publications from OCG programs. All published data are available to the research community through the program-specific data matrices.
* denotes publications from the CTD2 initiative that are results of intra-Network collaborations
Tumor evolution and intratumor heterogeneity of an oropharyngeal squamous cell carcinoma revealed by whole-genome sequencing
Investigators used whole genome sequencing to evaluate the intratumor heterogeneity of one HPV-positive oropharyngeal squamous cell carcinoma.
Researchers identify a specific dependency on BRCA1 and members of the ubiquitin pathway in cyclin E1 amplified tumors and propose a unique therapeutic strategy with bortezomib.
Next-generation NAMPT inhibitors identified by sequential high-throughput phenotypic chemical and functional genomic screens.
Researchers identify STF-118804 as a specific inhibitor of nicotinamide phosphoribosyl transferase (NAMPT), which improves survival in high-risk acute lymphoblastic leukemia, and targets leukemia stem cells.
Phenotypic and transcriptional fidelity of patient-derived colon cancer xenografts in immune-deficient mice.
Researchers evaluate xenografts established in NOD/scid/IL2Rγ-null mice from the primary and metastatic tumors of 27 patients with colorectal cancer (CRC) to assess how faithfully they recapitulated the transcriptional profile of their parental tumors.
Researchers demonstrate that transient inhibition of eIF4E protects against cyclophosphamide-induced alopecia at the organismal level.
The results provide novel insights into the synthetic lethal nature of α5-GABAA receptor activation in MYC-driven/Group 3 medulloblastomas and propose targeting it as a novel strategy.
Systematic identification of molecular subtype-selective vulnerabilities in non-small-cell lung cancer
We have applied parallel screening of chemical and genetic perturbations within a panel of molecularly annotated non-small-cell lung cancer lines to identify intervention opportunities tightly linked to molecular response indicators predictive of target sensitivity.
Researchers present a cancer driver annotation (CanDrA) tool that predicts missense driver mutations based on a set of 95 structural and evolutionary features computed by over 10 functional prediction algorithms.
Investigators use a high-throughput assay to identify genomic predictors of radiation sensitivity