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
Study showed that combinatorial therapy with MLN4924, a drug that clears misfolded proteins, and anti-PD1, an immune-checkpoint blockade, enhances clinical responses in cancer patients with microsatellite instability.
Scientists at Stanford CTD2 Center showed that MethylMix, a tool to identify methylation driver genes in cancer, can predict DNA methylation profiles in whole slide cancer histopathology images. This analysis provides new insights into the link between histopathological and molecular data.
Researchers emphasize the influence of inherited germline variants in immune infiltration patterns of the tumor microenvironment. This study may help in understanding the predictors of response to immunotherapy.
Broad Institute CTD2 scientists identified cytochrome P450 oxidoreductase as an essential factor for ferroptotic cell death in cancer using genome-wide CRISPR-Cas9 suppressor screens.
CTD2 scientists at UCSF used CRISPR interference approach to study gene-specific expression–phenotype relationships and expression level-dependent cell responses at single-cell resolution. This technique could be used in drug development, functional genomics, and identification of suppressor.
Scientists performed WGS, RNA and T-cell receptor sequencing, immunohistochemistry and reverse phase protein array proﬁling on pediatric and adult samples. Study indicated that genomic complexity causes immunosuppressive phenotype and provides opportunities for developing novel treatments.
Risk stratification of medulloblastoma subtype could minimize the burden of cerebellar mutism syndrome burden on pediatric patients with posterior fossa tumors, a type of brain tumor located in or near the bottom of the skull.
Report on challenges and opportunities associated with translating basic science discoveries in glioblastoma discussed during the neuro-oncology community meeting in April 2019.
Stanford University used single-cell genomics to characterize heterogenous cell types and states in tumor microenvironment revealing changes in transcriptional states, regulatory networks, and intercellular communication between matched gastric tumor and normal tissue from same patients.