Corning Incorporated · NYSE:GLW

Corning — ISSCR 2023 Corning Sponsored Innovation Showcase

69 slides from Corning's conference presentation, Jun 15, 2023

  1. Slide 1: Corning Sponsored Innovation Showcase

    Corning Sponsored Innovation Showcase: Predicting Drug Responses for Conventional & IO therapies Using MicroOrganoSpheres™ Dennis Plenker, Ph.D. Xilis, Inc. iPSC-derived Vascular Cells for Vascularization of Organoids & Ischemic Tissues Ping Zhou, Ph.D. Stem Cell Program and Department of Internal M

  2. Slide 2: Welcome and Introduction

    Welcome and Introduction Catherine Siler, Ph.D. Field Application Scientist Manager (East) Corning Life Sciences

  3. Slide 3: Today's Discussion

    Today’s Discussion 3D cell culture relevance Considerations for improving 3D methods: • Standardization of methods • Increasing throughput © 2018 Corning Incorporated 3 General - Corning (L4)

  4. Slide 4: Preclinical models for therapeutics

    Preclinical models for therapeutics 2D Spheroids Organoid Mouse Ease of use Biological Complexity Throughput Human biological relevance Standardized methods Higher throughput General - Corning (L4)

  5. Slide 5: 3D Cell Culture serves multiple disciplines

    3D Cell Culture serves multiple disciplines Disease Modeling Ping Zhou, Ph.D. Dennis Plenker, Ph.D. Regenerative Precision Medicine Medicine Drug Testing iPSC-derived Vascular Cells for Predicting Drug Responses for Vascularization of Organoids & Conventional & IO therapies Ischemic Tissues Using Mi

  6. Slide 6: Methods to Form Spheroids/Organoids

    Methods to Form Spheroids/Organoids Scaffold Scaffold-free Gel-based Multiple Non-uniform Singular Uniform Multiple Uniform Corning® Matrigel® Matrix Ultra-Low Attachment Surface Corning Spheroid Microplate Corning Elplasia® Plate Products Corning Elplasia® 12K Flask Collagen Corning Matrigel® Matri

  7. Slide 7: Corning Elplasia technology for embryoid body formation

    Corning® Elplasia® technology for embryoid body formation Average Spheroids Format (round bottom) 6-well 2,885 24-well 554 96-well 79 iPSCs 7 General - Corning (L4)

  8. Slide 8: Bulk spheroid production: Corning Elplasia 12K Flask

    Bulk spheroid production: Corning® Elplasia® 12K Flask Key Features and Benefits: • Highly reproducible bulk spheroid formation across microcavities • Compatible with brightfield and fluorescence microscopy • Scaffold-free culture • Round well-bottom geometry • Generates ~12,000 spheroids per flask

  9. Slide 9: Corning Synthegel 3D Matrix Kits: Synthetic scaffold for iPSCs and spheroids

    Corning® Synthegel™ 3D Matrix Kits: Synthetic scaffold for iPSCs and spheroids Expansion of hiPSCs in 3D (embedded & suspension) Cancer spheroids 9 General - Corning (L4)

  10. Slide 10: Corning Synthegel 3D Matrix Kits offer ease of use across applications

    Corning® Synthegel™ 3D Matrix Kits offer ease of use across applications Self-assembly Tunable Gel Defined Synthetic of peptides stiffness with X-linker Recovery of Works at room Transparent Easy to use cells and temperature matrix and handle spheroids © 2018 Corning Incorporated 10 General - Cornin

  11. Slide 11: Corning Matribot Bioprinter: consistent dispensing of cell culture hydrogels

    Corning® Matribot® Bioprinter: consistent dispensing of cell culture hydrogels Corning Matribot Bioprinter is a cost-effective unit for innovators to enter the 3D cell culture and bioprinting fields • Dispense and Print capabilities • Temperature controlled • Compact size • Intuitive programs • Mult

  12. Slide 12: Corning Matribot Bioprinter: Dispensing for Organoid Assays

    Corning® Matribot® Bioprinter: Dispensing for Organoid Assays Viable Cells Dead Cells Application note: CLS-AN-772 General - Corning (L4)

  13. Slide 13: Summary and Resources

    Summary and Resources Visit Corning 3D cell culture serves multiple disciplines Booth #601 Consistency in 3D can take on many forms: 13 General - Corning (L4)

  14. Slide 14: Corning

    CORNING

  15. Slide 15: Predicting drug responses for conventional and IO therapies using MicroOrganoSpheres (MOS)

    Predicting drug responses for conventional and IO therapies using MicroOrganoSpheres™ (MOS) Dennis Plenker, Ph.D., June 15th 2023 Dennis.Plenker@Xilis.net Proprietary and confidential – do not duplicate or distribute without written permission from Xilis, Inc.

  16. Slide 16: Disclosures

    Disclosures • Employee of Xilis Inc. • Shareholder of Xilis Inc. 2

  17. Slide 17: Introduction

    Introduction Improving predictivity in healthcare, clinical study stratification and drug discovery Marquart et al., 2018, JAMA Oncol  Only ~ 10% of patients can be matched to a therapy using sequencing  Only ~ 50% of all patients will respond to a therapy after sequencing-based eligibility criter

  18. Slide 18: Only a minority of eligible patients responds to chemotherapeutic agents

    Only a minority of eligible patients responds to chemotherapeutic agents Maldonado et al., 2020, Future Sci. • Median overall likelihood of response is as good as a coin flip (50%)! • Very few to no robust biomarkers available for chemotherapy response • Goal: using patient avatars for functional pr

  19. Slide 19: World-renowned scientists and clinical researchers are on Xilis' Boards

    World-renowned scientists and clinical researchers are on Xilis’ Boards, partnering with experienced leadership team and VCs to advance MOS Platform Scientific Advisory Board Clinical Advisory Board James Allison, PhD Michael Varney, PhD Scott Kopetz, MD, PhD Scott Antonia, MD, PhD Nobel Prize Winne

  20. Slide 20: Xilis MicroOrganoSphere (MOS) technology

    Xilis MicroOrganoSphereTM (MOS) technology Patient MicroOrganoSpheres (“MOS”) XilisμO Chip Day 2 Day 3 Day 4 Day 6 Proprietary IP TISSUE Rapid growth MOS Generator Drug discovery 6

  21. Slide 21: Unique features of MicroOrganoSpheres

    Unique features of MicroOrganoSpheresTM • MOS… • are mobile and can be pipetted from well to well after generation  automation-friendly • are independent entity and represent a biosphere • can be used for position-specific / longitudinal imaging • can retain microenvironment for >21 days 7

  22. Slide 22: MicroOrganoSphere Technology and applications in peer-reviewed publications

    MicroOrganoSphereTM Technology and applications in peer-reviewed publications June ‘22 July ‘22 August ‘22 December ‘22 Ding et al., 2022: Wang et al, 2022: Bose et al., 2022: https://pubmed.ncbi.nlm.nih.gov/35508177 NCI MOS Feature, Online https://pubmed.ncbi.nlm.nih.gov/35985334/ https://pubmed.nc

  23. Slide 23: Largely preserved driver mutations between tumor and MOS

    Largely preserved driver mutations between tumor and MOS MOS Tissue Grey: Driver mutations present White: Driver mutations absent Venn diagrams showing fraction of shared mutations between tumors (T) and matched MOS (M) MOS Tissue MOS Tissue MOS Tissue MOS Tissue MOS Tissue MOS Tissue MOS Tissue Sen

  24. Slide 24: Four critical MOS features: recapitulated native tumor microenvironment

    Four critical MOS features unlock a tectonic shift in drug discovery and development 1 Recapitulated native tumor microenvironment TME composition preserved in MOS vs primary tumor Whole-MOS imaging reveal TME and structure scRNA-seq Flow cytometry Mesothelin, Vimentin, DAPI, CD3, CD14, CD11c, CD68

  25. Slide 25: Four critical MOS features: recapitulated native tumor microenvironment

    Four critical MOS features unlock a tectonic shift in drug discovery and development 1 Recapitulated native tumor microenvironment TME composition preserved in MOS vs primary tumor Whole-MOS imaging reveal TME and structure scRNA-seq Flow cytometry Mesothelin, Vimentin, DAPI, CD3, CD14, CD11c, CD68

  26. Slide 26: MOS replicate endogenous immune microenvironment

    1) MOS replicate endogenous immune microenvironment Flow immuno-profiling antibody staining of immune compartment Endogenous T cell tumor killing after checkpoint inhibition CD4/CD8/CD45/TIM3/PD1 12

  27. Slide 27: MOS replicate endogenous immune microenvironment

    1) MOS replicate endogenous immune microenvironment Primary lung tumor MOS Primary Primarytumor tumro MOS PD-L1 PD-1 TGFβ 13

  28. Slide 28: Lung cancer MOS maintain endogenous immune compartment for 3 weeks

    1) Lung cancer MOS maintain endogenous immune compartment for 3 weeks MOS from frozen tissue MOS immunophenotyping shows largely maintained immune compartment Red: Live MOS staining 14

  29. Slide 29: Predict clinical response in complex IO setting

    Four critical MOS features unlock a tectonic shift in drug discovery and development 2 Predict clinical response in complex IO setting Complete Response Partial Response No Response  Patient-derived MOS predict patient response to IO antibody drug  MOS prediction completed within 10 days of initia

  30. Slide 30: T cell infiltration and potency assay

    2) T cell infiltration and potency assay Bulk organoids – T cell can’t infiltrate MOS – T cell infiltration MOS – T cell potency 0h 24h 48h 72h Bulk Matrigel + immune cells At least four separate groups using unselected TIL have retrospectively evaluated the interferon release assay but found that i

  31. Slide 31: Prospective clinical study demonstrating clinical predictability of MOS IO assay

    2) Prospective clinical study demonstrating clinical predictability of MOS IO assay for checkpoint inhibitors and combos Xilis’ clinical IO assay completed within 10 days of initial diagnosis predicted ensuing patients’ response (20 patients to date) Example #1: Example #2:  Hepatocarcinoma patient

  32. Slide 32: Versatile across therapeutic modalities & tumor types

    Four critical MOS features unlock a tectonic shift in drug discovery and development 3 Versatile across therapeutic modalities & tumor types chemo targeted IO Cell Therapy T-cell killing TIL-mediated MOS killing (green) SN38 Daratumumab Nivo TIL 18

  33. Slide 33: MOS can help overcome low cell number, heterogeneity, and low throughput

    3) MOS can help to overcome low cell number, heterogeneity, and low-throughput of patient-derived models Whole-well drug response quantification ML-driven MOS drug response quantification (normalization) ATP-based Brightfield FL signal Increasing dose IC50 19

  34. Slide 34: Scalable and automatable for drug discovery

    Four critical MOS features unlock a tectonic shift in drug discovery and development 4 Scalable and automatable for drug discovery Drug response across patient MOS Scaled MOS automation enabled a study that tested 215 drugs from 1,000 past CRC trials and identified winners and losers in 9 days. 20

  35. Slide 35: Automated MOS screening and AI analytical pipeline: 1000 colon cancer trials in 9 days

    4) Xilis’ automated MOS screening and AI analytical pipeline offer the first high- throughput patient-derived model platform – 1000 colon cancer clinical trials in 9 days with MOS patient avatars Screening Metrics 215 Compounds (8 concentrations) ~40,000 Conditions screened / day 5,806,080 Images 50

  36. Slide 36: Bose et al, Cancer Cell, 2022

    Bose et al, Cancer Cell, 2022 22

  37. Slide 37: Outlook

    Dennis.Plenker@Xilis.net Outlook Registered multi-center clinical study show MOS predict SoC chemo – CRC, breast Predicted by MOS: Ding et al, Cell Stem Cell, 2022 MOS predict refractory multiple myeloma patient clinical response • Utility of MOS for Multiple Myeloma for clinical correlation • Predi

  38. Slide 38: Slide 38

  39. Slide 39: Applications of Human Pluripotent Stem Cell-derived Vascular Cells

    Applications of Human Pluripotent Stem Cell- derive Vascular Cells Ping Zhou Associate Adjunct Professor Director, Stem Cell Core Stem Cell Program University of California Davis

  40. Slide 40: The authors declare no potential conflicts of interest

    The authors declare no potential conflicts of interest.

  41. Slide 41: Stem Cell Cores At University of California Davis

    Stem Cell Cores At University of California Davis Pluripotent Stem Cells (PSCs) Embryonic Stem Cells (ESCs) Induced Pluripotent Stem Cells (iPSCs) Multipotent Stem Cells Mesenchymal stem cells (MSCs) Hematopoietic Stem cells (HSCs) Primary Cells • Generate, expand and store human pluripotent stem ce

  42. Slide 42: Vascular Disease

    Vascular Disease 8 million people in the United States Limb ischemia

  43. Slide 43: Revascularization of the ischemic tissue is needed to treat vascular disease

    Revascularization of the ischemic tissue is needed to treat vascular disease. Transplantation of vascular cells may accelerate revascularization.

  44. Slide 44: Human pluripotent stem cells can be an unlimited source of vascular cells

    Human pluripotent stem cells (PSCs) can be an unlimited source of vascular cells for therapy.

  45. Slide 45: Vascular cell types

    Pericyte Red blood ‘@\ cell in lumen Basement ff membrane Endothelial cell Capillaries Arteriole Venule Artery Endothelial cells Smooth muscle cells Smooth muscle cells

  46. Slide 46: Differentiation of Endothelial Cells from Human PSCs

    Differentiation of Endothelial Cells from Human PSCs VEGF BMP4 FGF2 FGF2 EGF GSK3βi VEGF IGF1 2 days 2 days 4-6 days iPSC/hESCs Mesoderm Vascular Endothelial Progenitors Cells

  47. Slide 47: hiPSC-ECs and hESC-ECs CD31 staining

    Phase CD31 hiPSC-ECs |; hESC-ECs |

  48. Slide 48: hESC-ECs and hiPSC-ECs flow cytometry

    hESC-ECs hiPSC-ECs 10*= 10? “H1 H2 -H1 H2 . ~ 102 0.1% 78.3% sed rae + 402- 0.2% 83.1% : pipe = 3 = , F by © 10! : © 10! oe oH HAR > H3 Hae 10 2.8% 18.8% 10 ee 14.3% 700 ~~ 401 ~~ 402 “403 70° 01 ~~" 402 “403 CD31 CD31

  49. Slide 49: The Human PSC-derived Endothelial Cells Formed Tubes in Matrigel

    The Human PSC-derived Endothelial Cells Formed Tubes in Matrigel In vitro In vivo

  50. Slide 50: Mouse Model of Ischemia

    Mouse Model of Ischemia FITC-Dextran Tail Vein Injection 1 day 2 months Immune Deficient Femoral artery Intramuscular NSG Mice ligation to create injection limb ischemia of PSC-ECs

  51. Slide 51: iPSC-derived Endothelial Cells Generated Functional Blood Vessels in Ischemic Mouse Model

    IPSC-derived Endothelial Cells Generated Functional Blood Vessels in Ischemic Mouse Model FITC-Dextran Human CD31 Merge

  52. Slide 52: Differentiation of Vascular Smooth Muscle Cells/Pericytes Progenitors from Human iPSCs

    Differentiation of Vascular Smooth Muscle Cells/Pericytes Progenitors (VSMPs) from Human IPSCs Endothelial Cells (ECs) Vascular hiPSCs Progenitors Vascular Smooth Muscle/ Pericyte Progenitors (VSMPs)

  53. Slide 53: Human PSC-derived Vascular Cells Formed Tubes on Matrigel

    Human PSC-derived Vascular Cells Formed Tubes on Matrigel Green: endothelial cells Red: smooth muscle cell/pericyte progenitors

  54. Slide 54: Can we use human iPSC-derived ECs to deliver therapeutic proteins?

    Can we use human iPSC-derived ECs to deliver therapeutic proteins?

  55. Slide 55: Hemophilia A (HA)

    Hemophilia A (HA) • Spontaneous or prolonged bleeding leads to damage in joint, nerve and tissue. • Bruise easily and delayed wound healing • HA affects 1 per 5000 males. • HA is caused by mutations in the coagulation factor VIII gene. • Factor VIII is produced primarily by endothelial cells.

  56. Slide 56: FVIII Replacement Therapy

    FVIII Replacement Therapy 2-3 times of infusions FVIII neutralizing Life-long Cost per week for life-long antibodies $300,000/year

  57. Slide 57: HA Patient iPSCs

    HA Patient iPSCs F8 Expressing iPSCs Endothelial Cells

  58. Slide 58: ECs Derived from Hemophilia A Patients' iPSCs Did Not Express F8

    Endothelial Cells (ECs) Derived from Hemophilia A Patients’ IPSCs Did Not Express F8

  59. Slide 59: Expression of the F8, GFP and Luciferase Gene in HA-iPSC-derived ECs Using Lentiviruses

    Expression of the F8, GFP and Luciferase Gene in HA- iPSC-derived ECs Using Lentiviruses Lentivieuse vectors: pCCLc-MNDU3-F8-PGK-neo pCCLc-MNDU3-LUC-PGK-GFP

  60. Slide 60: HA-iPSC-derived ECs Engrafted in NSG Mice

    HA-iPSC-derived ECs Engrafted in NSG Mice

  61. Slide 61: HA-iPSC-derived ECs Overexpressing F8 Produced Therapeutic Levels of FVIII in HA Mice

    HA-iPSC-derived Endothelial Cells Overexpressing F8 Produced Therapeutic Levels of FVIII in HA Mice 2 weeks Analysis

  62. Slide 62: Generation of Liver Organoids from Human PSCs

    Generation of Liver Organoids from Human PSCs PSCs Differentiate in vitro Hepatic Cells Endothelial Cells Co-culture on solidified Matrigel in vitro Liver Organoids

  63. Slide 63: Applications of PSC-derived Liver Organoids

    Applications of PSC-derived Liver Organoids Disease Modeling Cell Therapies Drug Screening Toxicity Test

  64. Slide 64: Organoids from ESCs and Organoids from iPSCs

    Organoids from ESCs _ Organoids from iPSCs Wy HP+EP+MSC

  65. Slide 65: Liver Organoids Derived from Human PSCs

    Liver Organoids Derived from Human PSCs Hepatic cells (AFP) Endothelial Cells (CD31)

  66. Slide 66: Liver Organoids Derived from Human PSCs

    Liver Organoids Derived from Human PSCs iPSC-derived hESC-derived Two months after transplantation

  67. Slide 67: Liver Organoids Expressed Liver Markers In Vivo

    Liver Organoids Expressed Liver Markers In Vivo

  68. Slide 68: Summary

    Summary • Vascular cells could be derived from human PSCs and capable of generating functional blood vessels in ischemic tissues. • Patient iPSC-derived endothelial cells could be used to deliver therapeutic factor VIII proteins for the treatment of hemophilia A. • Liver organoids could be generated

  69. Slide 69: Acknowledgement

    Acknowledgement Zhou Lab Collaborators Nataly L Magner Dr. Jan Nolta Dane Coleal-Bergum Dr. Aijun Wang Aja Harding Dr. Ben Waldau Elizabeth Cortez-Toledo Melanie Rose Emmanuel Agu Alicia Hyllen Kelsey Conroy Financial Support Amy Kim UC Davis Innovative Development Award Dickerson’s Catalyst Fund NI

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