CONFERENCE PROGRAM
Wednesday, December 14, 2022
| 9:00-9:30 | Gathering |
| Cancer Genomics | |
| 9:30-10:20 | Stephen Chanock, NIH | The genomic profile of papillary thyroid carcinoma after the Chernobyl accident in 1986 & how ionizing radiation actually causes cancer |
| 10:20-10:40 | Gidi Rechavi, Sheba | Cancer Epitranscriptomics |
| 10:40-11:00 | Shai Izraeli, TAU | From Down Syndrome to high risk leukemia |
| 11:00-11:20 | Yosi Maruvka, Technion | Tumors with mismatch repair deficiency: biology, detection and prevention |
| 11:20-11:35 | Itamar Simon, HUJI | Both Cell Autonomous And Non-Autonomous Processes Modulate The Association Between Replication Timing And Mutation Rate |
| 11:35-13:00 | Poster session & lunch |
| Precision Medicine | |
| 13:00-13:20 | Nir Friedman, HUJI | Subtyping of small cell lung cancer using plasma cell-free nucleosomes |
| 13:20-13:40 | Ron Shamir, TAU | Computational analysis of large scale cancer multi-omic data |
| 13:40-14:00 | Binyamin Knisbacher, BIU | The CLL-map project: from multi-omics to precision medicine in a common leukemia |
| 14:00-14:20 | Dvir Aran, IIT | Deep-phenotyping of single-cells for precision medicine |
| 14:20-14:35 | Rani Elkon, TAU | Evaluation of European-based polygenic risk score for breast cancer on Ashkenazi Jewish women in Israel |
| 14:35-14:50 | Ofir Raz, WIS | Cancer Evolution Diagnosis Using Cell Lineage Reconstruction Based on Somatic Mutations in Short Tandem Repeats |
| 14:50-15:30 | Coffee break |
| Immunotherapy | |
| 15:30-16:20 | Hannah Carter, UCSD | The influence of genetic background on anti-tumor immune response |
| 16:20-16:40 | Yardena Samuels, WIS | Revisiting the neoantigen approach to cancer immunotherapy |
| 16:40-17:00 | Yuval Shaked, IIT | A holistic approach to study biomarkers to predict immunotherapy outcomes |
| 17:00-17:20 | Keren Yizhak, IIT | Estimating tumor mutational burden from RNA-seq without a matched-normal sample |
Thursday, December 15, 2022
| 9:00-9:30 | Gathering |
| Tumor Microenvironment | |
| 9:30-10:20 | Nick Haining, ArsenalBio | Engineering the fate and function T cells for cancer therapy |
| 10:20-10:40 | Shai Shen-Orr, IIT | Modeling cancer progression |
| 10:40-11:00 | Leeat Keren, WIS | Unraveling the tumor microenvironment by multiplexed imaging |
| 11:00-11:20 | Neta Erez, TAU | Stromal and immune plasticity shape the metastatic microenvironment |
| 11:20-11:40 | Asaf Madi | Immune niches, the preprinted version |
| 11:40-13:30 | Poster session & lunch |
| Cancer Cells | |
| 13:30-13:50 | Noam Shomron, TAU | DNA and RNA as insights for precision medicine |
| 13:50-14:10 | Ofir Cohen, BGU | From intractable many to manageable few – evolutionary convergence of drug-resistant cell-states in metastatic breast cancer |
| 14:10-14:30 | Uri Ben-David, TAU | Genomic approaches for identifying vulnerabilities of aneuploid cells |
| 14:30-14:50 | Yaara Oren, TAU | Beyond Darwin: understanding cancer persister cells |
| 14:50-15:05 | Matan Hofree, HUJI | Tissue level insights from cellular measurements – Identifying multi-cellular hubs in colorectal cancer |
| 15:05-15:20 | Juman Jurban, BGU | Characterizing genomic properties that shape cancer aneuploidy landscapes by applying machine learning methods |
| 15:20-16:00 | Coffee break |
| 16:00-16:50 | Gad Getz, Broad institute | Leveraging convergent evolution to discover mechanisms of resistance to cancer therapy |
| 16:50-17:15 | Summary and poster winners |
Poster Division to Dates
14.12.2022
| Poster Presenters |
|---|
| Elad Zisman | Alternative Splicing and Expression Dynamics in T Cells |
| Hagay Ladany | Developing preventive cancer vaccine for lynch syndrome |
| Yaniv Eyal-Lubling | Exploring clonal plasticity in breast tumour xenografts by integration of single-cell transcriptional profiles with inferred genomic clones |
| Roy Granit | Exploring the immune-tumor microenvironment and tertiary lymphoid structures using high resolution single-cell spatial transcriptomics |
| Roy Granit | Gene model correction for PVRIG and TIGIT in single cell sequencing data enables accurate detection and study of its functional relevance |
| Neta Nevo | Identification of Driver Proteins for Accelerating Human Immune Recovery Post Chemotherapy |
| Oren Barboy | Modeling the dynamics of T cell response to immunotherapy facilitates optimization of combinatorial treatment protocols |
| Or Livne | Prediction model for immunotherapy response based on RNA derived biomarkers |
| Daniel Gurevich | The distinct features of the chromosomal unstable tumors compared to genomic stable tumors |
| Ofir Shorer | The role of tumor and immune metabolism in cancer patient response to immune checkpoint blockade therapy |
| Gaia Frant | Unique features of the human mismatch repair pathway |
| Roni Keshet | Using bacterial genomic information as biomarkers for predicting patients’ response to immunotherapy |
15.12.2022
| Poster Presenter |
|---|
| Artem Danilevsky | Adaptive sequencing using nanopores and deep learning of mitochondrial DNA |
| Michael Mints | Cellular states are coupled to genomic and viral heterogeneity in HPV-related oropharyngeal carcinoma |
| Rony Chanoch-Myers | Elucidating the diversity of malignant mesenchymal states in glioblastoma by integrative analysis |
| Noam Galili | Exploring glioma organization and heterogeneity through spatial transcriptomics |
| Sagi Gordon | Identification of chemo-resistance mechanisms and survival markers in pediatric ewing sarcoma tumors using MS-based clinical proteomics |
| Ron Sheinin | Identification of factors mediating the signaling convergence of multiple receptors following cell-cell interaction |
| Edo Dotan | Multiple sequence alignment as a sequenceto-sequence lerning problem |
| Avishay Spitzer | Response of glioma to standard-of-care treatment dissected at single-cell resolution |
| Sapir Levin | The role of hematopoietic progenitor cells in immunotherapy resistance |
| Barak Davidi | Ultrasound surveillance of small incidentally detected gallbladder polyps: projected benefits by age, sex, and comorbidity level |
| Zachary Levine | Unraveling the genetic mechanisms behind novel complex phenotypes from the israeli 10K cohort |
| Almog Angel | xCell 2.0: a generic tool for cell-type enrichment analysis that enables prediction of response to immunotherapies |