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Genome Scale Crispr Cas9 Knockout Studies Reveal Mutifactorial and Functionally Overlapping Mechanisms of M tif t i l d F ti ll O l i M h i f Myeloma Cell Resistance to Proteasome Inhibition Michal Sheffer, PhD 1* , Yiguo Hu, PhD


  1. Genome ‐ Scale Crispr ‐ Cas9 Knockout Studies Reveal Mutifactorial and Functionally Overlapping Mechanisms of M tif t i l d F ti ll O l i M h i f Myeloma Cell Resistance to Proteasome Inhibition Michal Sheffer, PhD 1* , Yiguo Hu, PhD 1* , Ophir Shalem, PhD 2 , Neville Sanjana, Ph.D. 2 , Eugen Dhimolea, PhD 1 , Subhashis Sarkar, PhD 1 , Megan A. Bariteau, B.Sc. 1 , Blake T. Aftab, Ph.D. 1,3 , Richard W.J. Groen, PhD 1 , Feng Zhang, PhD 2 and Constantine S. Mitsiades, MD, PhD 1 (* equal contribution as co ‐ first authors) 1 Department of Medical Oncology, Dana ‐ Farber Cancer Institute, Harvard Medical School, Boston, MA 2 Broad Institute of MIT and Harvard, Cambridge, MA 3 University of California San Francisco, San Francisco, CA

  2. Bortezomib in Multiple Myeloma www.velcade.com Bortezomib (trade name Velcade ) is approved for the treatment of patients with multiple myeloma (MM) p y ( ) Bortezomib binds to the β 5 subunit, leading to full inhibition of ubiquitinated protein hydrolysis. Extends survival, but does not cure the disease Affects many proteins and hence many pathways Many possible mechanisms of resistance

  3. Can we use a genome wide approach to identify genes that regulate bortezomib identify genes that regulate bortezomib resistance in MM cells?

  4. CRISPR overview sgRNA (single guide RNA) sgRNA + CAS9 protein Cell lar error prone repair Cellular error ‐ prone repair T Target specific cleavage t ifi l “knocks out” gene www.clontech.com

  5. v2 library Human genome ‐ scale CRISPR ‐ Cas9 Human genome scale CRISPR Cas9 • knockout (GeCKO) v2 library created by the Zhang lab ‐ Broad Institute & MIT 2 vector system: • Ophir Shalem (1) CAS9 (2) guide sequences (gdRNAs) (2) id ( dRNA ) • ~120,000 unique gdRNAs targeting ~20,000 human genes including control (non ‐ targeting) sgRNAs genes, including control (non ‐ targeting) sgRNAs. Divided into 2 sub ‐ libraries: v2.1, v2.2 • • 6 gdRNAs per gene ‐ 3 in each 2 sub libraries g p g Shalem et al Science, 2013

  6. CAS9 ‐ sgRNA vs. shRNA Diff Different sgRNAs designed to KO GFP – RNA d i d KO GFP complete KO in CAS9 Shalem et al, Science 2013

  7. Experiment workflow RPMI8226 MM cell line CAS9 transduction v2.1 v2.2 Expansion of the sgRNA library Lenti ‐ viral transduction to GECKO v2.1 GECKO v2.2 introducing KO mutations introducing KO mutations Yiguo Hu Yiguo Hu v2.1 v2.2 v2.1 v2.2 Bortezomib treatment No treatment Bortezomib, 10nM 3d 1d + 8d in fresh media Expanding the surviving cells PCR amplification & Next generation sequencing Which sgRNAs are enriched within the surviving of MM cells

  8. Experiment workflow RPMI8226 MM cell line v2.1 v2.2 GECKO v2.1 GECKO v2.2 v2.1 v2.2 v2.1 v2.2 No treatment Two different treatments Repeat screen with genome ‐ 3d let the cells grow in between wide sgRNA library Follow ‐ up of validation studies with smaller library of gdRNA, other cell lines

  9. Biological functions of identified candidate genes • Regulation of apoptosis / Tumor suppressors R l ti f t i / T – e.g. PMAIP1 (Noxa), BAK1 • Proteostatic stress (autophagy, aggressome function, ( p gy, gg , ubiquitination) – e.g. ATG9A, FBXO33, PSMD1, PSMC6 • Toll like receptors Regulation of NF kappaB signaling • Toll like receptors, Regulation of NF ‐ kappaB signaling – e.g. BIRC2 , TRAF2 • Transcriptional regulators: p g – e.g. ZSCAN10, ID1

  10. Example of candidate gene: PMAIP1 ( NOXA ) First screen ounts PMAIP1 ted read co zomib treat Second screen Bortez Polager et al, Nature Reviews Cancer , October 2009 Qin JZ, Cancer Res. 2005 Jul 15;65(14):6282 ‐ 93. Control read counts Pérez ‐ Galán P Blood. 2006 Jan 1;107(1):257 ‐ 64 Gomez ‐ Bougie P, Cancer Res. 2007 Jun 1;67(11):5418 ‐ 24.

  11. Secondary screens with focused sgRNA – C ll li Cell line ‐ specific effects on Bort response ifi ff B Waldenstrom's macroglobulinemia Disease – bortezomib sensitive

  12. Distribution of mutations in candidate genes ‐ MM MM vs other tumors h MM Studies of patients before and after Bortezomib treatment – too few for statistical analysis

  13. Correlation with clinical outcome Patients with at least on of the ___ candidate genes absent ca d date ge es abse t ___ Other patients P 0 008* P=0.008* SUMMIT and APEX trials: Follow up on patients that received Bortezomib Gene expression levels were measured before treatment G i l l d b f t t t

  14. Ongoing - future studies Ongoing future studies • Focused screen with smaller sgRNA library against Focused screen with smaller sgRNA library against candidate genes for bortezomib resistance • Importance of whole ‐ genome and focused analyses in p g y diverged genetic models – Against panel of MM vs. non ‐ MM cell lines • Comparative studies with other drugs – Ability to multiplex the current setup • Invivo validations

  15. Working Group on Treatment Resistance Working Group on Treatment Resistance • Our results suggest even more complex mechanisms of resistance than previously anticipated resistance than previously anticipated • The complexity of the problems underscores the need to collaborate and address it • We are inviting colleagues from the MM field and beyond to participate in a Working Group on Treatment Resistance and jointly address the complexity of the problem jointly address the complexity of the problem – To participants in the Group, we offer to run CRISPR screens for your agents of choice! If interested, please contact: Constantine_mitsiades@dfci.harvard.edu

  16. Acknowledgments Mitsiades Lab members: Feng Zhang lab Our Collaborators: Yiguo Hu PhD Ophir Shalem Chris Ott, PhD Eugen Dhimolea PhD Charls Lin PhD Neville Sanjana Richard Groen PhD Richard Groen, PhD Jay Brander MD Jay Brander MD Subhashis Sarkar PhD Jonathan Licht MD Lotte Wieten, PhD Megan Bariteau B.Sc Leutz Buon, BSc, M.Sc. Blake Aftab, PhD Jeff Sorrell, B.Sc. R Research Funding: h F di Michal Sheffer: Supported by VATAT fellowship (Weizmann Institute, Israel) CS. Mitsiades: National Institutes of Health grants R01 CA127435, and R01 CA179483; Shawna Ashlee Corman Investigatorship in Multiple Myeloma Research; de Gunzburg Myeloma Research Foundation (DGMRF); g y ( ) Cobb Family Myeloma Research Fund; Chambers Family Advanced Myeloma Research Fund; Multiple Myeloma Research Foundation (MMRF) Leukemia & Lymphoma Society (LLS) Translational Research Program (TRP) & Quest for Cure Program (QFC).

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