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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
Cancers

Analysis of next generation sequencing of patients with hematologic malignancies showed that patients had alterations that could be targeted with gene or immune-targeted therapies.

Cold Spring Harbor Molecular Case Studies

Scientists report that two myeloid leukemia cases with FMS-like tyrosine kinase (FLT3) fusions demonstrate mixed features of myelodysplastic and myeloproliferative syndromes; showed sensitivity to FLT3 inhibitors in ex vivo drug screening assays.

Cell

CTD2 scientists at Stanford University demonstrated that air-liquid interface patient-derived tumor organoid models retain the original tumor immune cells, enabling testing for personalized immunotherapy in cancer.

Journal of Molecular Cell Biology

CTD2 researchers at Emory University identify novel role for large tumor suppressor 2, LATS2, as a regulator of the ASK1-mediated stress response pathway which may lead to new strategies to control cellular response to stress in normal cells and diseases.

Cell Systems

UCSF scientists developed a bioinformatic approach, MAGNETIC, which integrates multi-omic data from cancer patients with pharmacogenomic data from cell lines into a small set of pathway-enriched gene modules. These modules connect tumor and cell line biomarkers and may inform therapeutic targets.

Blood

CTD2 scientists at Oregon Health and Science University performed genetic and small-molecule screens and identified CSF1R as a novel therapeutic target of acute myeloid leukemia.

Cancer Research

Study demonstrates that EGFR and EGFRvIII cooperate through KRAS, to upregulate chemokine CCL2 and promote infiltration of macrophages in glioblastoma.

Nature Communications

CTD2 scientists studied the functional consequences of missense mutations of cell surface protein kinase receptor, PDGFRA, identified from different tumor types. These studies identified a driver mutation in the extracellular domain of PDFRA that are resistant to PDFR inhibitors.