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Advancing
                                      Personalized Medicine
                                      one cancer patient at
                                      a time.

James Lim, Ph.D., Nelson Chan, Ph.D., Dale Fedun, Brian Feth
Mentor: John Feilders (CMEA Capital)
Lawrence Berkeley National Laboratory
University of California, Berkeley – Haas School of Business
                                                                   *73 interviews

                                                               1
Team of scientists and MBA students
            James Lim, PhD
Scientist



            Experience: Seven years of cancer cell microscopy
            Expertise: Live-cell microscopy and cancer cell biology

                                                                       Dale     Nelson      James     Brian
            Nelson Chan, PhD
Scientist




            Experience: Seven years of cancer research
            Expertise: Biochemical and toxicological analysis mediating cancer cell death


            Brian Feth
MBA




            Experience: Five years in life sciences business strategy consulting and private equity
            Expertise: Business model development and project management



            Dale Fedun
MBA




            Experience: Twelve years in creating and managing business IT programs
            Expertise: Business model and IT system development


                                                                                                        2
                                                                   2
Circulating Tumor Cells (CTCs): Initial Idea
 Circulating tumor cells                      Oncologists & Pathologists
                  Cancer cells that have                    Does my patient have any
                  detached from the                         CTCs?
                  tumor and are                             How aggressive are they?
                  circulating in the blood
                  stream




                              Capture and grow CTCs
                   Video technology to characterize aggressiveness



                                                                                  3
                                                 3
Testing our initial hypotheses: Focus on
customer segments and value propositions
                                               Diagnosis/                 Direct sales
Advocacy Groups        Consultation
                                               Prognosis:                 Conferences            Clinicians
Regulatory             Cell-
                                               Cell validation            MD office Adverts      Oncologists
Agency                 Characterization
                                               Patient mgmt               Publications           Pathologists
Oncologists            Database building
                                               Drug selection             Patient                Patients
Physicians Assoc       Disposal
                                                                          advertisements
                       R&D
                                               Minimally invasive
                                               Low cost
                                               Specific
                       IP                      Fast
                       Patient Database                                  Hospital MD
                                                                         office, HMO
                                                                         Advocacy Groups
                                                                         Pharma




Variable: Media, plastic ware, personnel, computing
                                                                 Service per time point (service/use)
storage, building space
                                                                 Kits / Reagents (patients only)
Fixed: Centrifuge, microscopes, freezers, incubators,
and hoods

                                                                                                                4
                                                                         4
Get out of the Building! Talked to customers and
        partners to test our hypotheses
                          • Visited local hospitals and
                            clinics
                          • Called nurses and patients to
                            get perspectives
                          • Spoke with physician and
                            patient advocacy groups
                          • Hit the rolodex, plan interviews
                            far in advance, daisy-chain to
                            new contacts




                                                            5
                              5
Key people we spoke to:
 Dr. Leisha Emens
 Dr. John Siebel
 Dr. Ana Aguilar
 Dr. Scott North
 Dr. George Sledge
 Dr. Alan Venook
 Dr. Peter Eisenberg


 Dr. Cassandra Lee
 Dr. Balaram Puligandla

 Dr. Ken Pritzker (CEO)
 Dr. Doug Tkachuk (CMO)
 Dr. Scott Minick (CEO)



                              6
                          6
Determining our customers




 Oncologist              Pathologist
 Patient management      Sample management

• Oncologists decide     • Pathologists perform in-
  what tests to order,     house tests and
  when, and how often      facilitate contracts with
                           service providers
• Primary customer       • Less important


                                                       7
                           7
Key messages from Oncologists:
Dr. Siebel

 “Culturing a patient’s CTCs to test efficacy of therapies would be
 valuable, if you could prove in vitro results are replicated in vivo.”

Dr. Sledge

 “Don’t give us more data. Tell us which drug to use for
 each patient.”

Dr. North

 “Definitively knowing if a patient should get chemo
 would be a major breakthrough in oncology.”


                                                                      8
                                            8
What we learned from similar companies:
                                 RNA Diagnostics

                                  “The space is crowded; there are
                                 many start-ups enumerating CTCs”
LifeLabs

 “The clinical setting is difficult and
 can take years to get to market”


   Bind Biosciences

    “CTC enumeration is not as useful and provides a limited
    sample. Your approach is unique and overcomes key
    limitations.”
                                                                     9
                                             9
The value proposition epiphany: CanScan is a
           cell culture company!




                                          10
                          10
We are unique in our ability to culture CTCs
                                                      Technology Capability
   Company     Product      Technology                                                    Channel
                                            Isolate        Count   Analyze    Culture

             Parsortix      Filter                                                       Kits

             CellSearch     Antibody                                                     Kits

             Vita-Assays    Substrate                                                    Kits

             Mvs360         Antibody                                                     Device

             OncoCEE        Microfluidics                                               CLIA labs

             LiquidBiopsy   Antibody                                                    CLIA labs

             ISET device    Filter                                                      Device

             On-Q-ITY
             chip
                            Microfluidics                                              Device

             ApoStreamTM
             Technology
                            Microfluidics                                              Device

                   -        Substrate                                                 CLIA?
                                                                       *This is an abbreviated list

                                                                                                 11
                                                      11           Class 8 - Update 3.19.2012
Cell culture value proposition
                      Identify and
                    enumerate CTCs




  Characterize
growth potential
                     Culture                  Test
                                          Chemotherapies
                      CTCs



                     Test CTCs for
                      biomarkers



                                                           12
                                     12
Updated business canvas
                       Consultation
                       Characterization        Provide new data      Direct sales
Advocacy Groups
                       Database building       to improve            Conferences
Regulatory
                       R&D                     treatment             MD office Adverts
Agency                                                                                      Oncologists
                                               decisions             Publications
Oncologists            Treatment
                                                                     Patient
Physicians Assoc       determination in
                                                                     advertisements
                       vitro
                                                                                            Pharmaceutical
                                                                                            Researchers
                       IP
                       Patient Database                             Hospital MD
                       CLIA certification                           office, HMO
                                                                    Advocacy Groups
                                                                    Pharma




Variable: Media, plastic ware, personnel, computing
                                                            Service per time point (service/use)
storage, building space
                                                            Kits / Reagents (patients only)
Fixed: Centrifuge, microscopes, freezers, incubators,
and hoods

                                                                                                             13
                                                                  13
Alternative market model

                                                         • Urged by the teaching team to
                                    Private
 CMS
                                  payer/MAC                explore alternative markets
            Hospital / Clinic                            • Interviewed clinical research
             Lab Advisory
              Commi ee
                                  Oncologists   ASCO /     organizations, pharma/biotech,
                                                NCCN
                                                           and academics
                        CanScan


Influence
Payment
Sets rate




                                                                                      14
                                                            14
Alternative market model

              • Urged by the teaching team to
                explore alternative markets
              • Interviewed clinical research
                organization, pharma/biotech,
                and academics




                                           15
                15
Partnering with Quest Diagnostics

                         • Covers 130 countries
                         • 2000 sites in the US




                                           16
                    16
Partnering with Quest Diagnostics




                                    17
                    17
Partnering with Quest Diagnostics




                                    18
                    18
Key people we spoke to:

 Dr. Ming Tong
 Dr. Brian Edmunds
 Dr. Philip Tagari
 Dr. Thomas Fare
 Dr. Sal Russelo
 Dr. Steve Labkoff
 Dr. Lisa Hewitt
 Dr. Zemin Zhang
 Dr. John Sninsky
 Dr. Scott Patterson
 Dr. Lawrence LaPointe
 Dr. Slyvie Sakata



                          19
New opportunity: Pharmaceutical drug testing
“A better human-like in vitro models
for high throughput screening”
          Head Research Development
                              Amgen    “This would be a powerful platform to
                                       test personalized drugs”

                                                        VP Business Development
“Testing drug on circulating cancer cells                                 Merck
could offer us better end-points to
evaluate drug candidate effectiveness”
              Head Research Development       “Come work with us, we will be
                      Abbott Laboratories     your first customer!”
                                                                            CEO
                                                               Clinical Genomics
                                                                           20
                                               20
Pharmaceutical customer


              Low Barrier to Entry



              Quick Revenue




                                     21
               21
Current business canvas
                         Cell charact.
                         Database dev.           Provide new data         Personal
Str. Alliances:
                         Product/IP Dev          to improve               assistance,
local hospitals -
                         Treatment sel.          treatment                Automated
Marin Gen                                                                                          Oncologists
                         In vitro screening      decisions.               services
Hospital, CHRC
Oakland.                 Consultation
                         Cell Line bank.                                                           Pharmaceutical
                                                 Cancer drug
Med Device –                                                                                       Researchers
                                                 efficacy screening.
Medtronic, Baxter
                         IP                      CTC biomarker
Tech Validation-                                 discovery
                         Patient Database                                 Sales force
Clinical Genomics
                         CLIA certification
                         CPT Code
Joint Venture:
Quest Diagnostics



Variable: IP Licensing, lab supplies, personnel, IT,
                                                                 Usage fee per CTC scan, data/consulting
specimen transportation
                                                                 sales, cell line sales, instrument/kits product
Fixed: Lab equipment, lab space, SG&A, R&D
                                                                 model


                                                                                                                    22
                                                                       22
Intellectual property progress
              Who owns            What is                   Patent                New IP
              the IP?             patentable ?              process               generation
Progress




           Spoke to Berkeley Initial meeting with       Provisional and       New IP for keeping
           Tech Transfer     IP lawyer                  Utility application   competitors away




           Provisional            Utility Application                         International
           Patent                 (US)                                        Patents


                 12 months
                                 Up to 30 months

                                                                                               23
                                                                23
Path to Revenues
                 Mechanistic
                    PoC


  Concept      • Cell culture
                 feasibility
 Validation


               • Mouse models     ✓
Requirements   • 20-30 human
                 blood samples


               • $10-15K
    Cost         ($100K+ equip)
               • Access to lab



   Time          2-3 Months



                                            24
                                      24
Path to Revenues
                 Mechanistic        Technology
                    PoC               Scope


  Concept      • Cell culture     • Proof of
                 feasibility        Concept in
 Validation
                                    multiple cancer
                                    types
                                  • Reproducibility
               • Mouse models     • 100+ human
Requirements   • 20-30 human        blood samples
                 blood samples


               • $10-15K          • $50K+
    Cost         ($100K+ equip)   • Incubator space
               • Access to lab



   Time             2-3 Months      3-6 Months



                                                           25
                                                      25
Path to Revenues
                 Mechanistic        Technology           Biomarker
                    PoC               Scope              Validation


  Concept      • Cell culture     • PoC in multiple   • CTC / tumor
                 feasibility        cancer types        characterization
 Validation
                                  • Reproducibility


               • Mouse models     • 100+ human        • Genomic /          Pharma
Requirements   • 20-30 human        blood samples       Proteomic
                 blood samples                        • Morphology          Sales


               • $10-15K          • $50K+             • Outsource
    Cost         ($100K+ equip)   • Incubator space     (~$20K)
               • Access to lab                        • Service/kit dev.



   Time             2-3 Months        3-6 Months        1-2 Months



                                                                                    26
                                                         26
Path to Revenues
                 Mechanistic        Technology           Biomarker             Clinical
                    PoC               Scope              Validation           Validation


  Concept      • Cell culture     • PoC in multiple   • CTC / tumor        • Patient
                 feasibility        cancer types        characterization     stratification
 Validation
                                  • Reproducibility


               • Mouse models     • 100+ human        • Genomic /          • Phase II trial    Clinical
Requirements   • 20-30 human        blood samples       Proteomic            (~200 patients)
                 blood samples                        • Morphology         • Treatment use
                                                                                                Sales


               • $10-15K          • $50K+             • Outsource          • Outsource
    Cost         ($100K+ equip)   • Incubator space     (~$20K)              ($500K-$1M)
               • Access to lab                        • Service/kit dev.   • CPT Code/CLIA



   Time             2-3 Months        3-6 Months         1-2 Months          1-2 Years



                                                                                               27
                                                         27
Financial / Operational Timeline
                                2012                                       2013                       2014
                Q1         Q2          Q3          Q4            Q1   Q2          Q3   Q4   Q1   Q2          Q3   Q4

                1,200

                1,000
Cash Burn




                 800
 ($‘000)




                 600

                 400

                 200

                     0
Development
 Milestones




                Mechanistic PoC

                                              Incubator Space

                           Equipment
Regulatory/IP
 Milestones




                         Incorporate

                         IP License         Provisional Patent




                                                                                                                       28
                                                                                       28
Financial / Operational Timeline
                                2012                                        2013                       2014
                Q1         Q2          Q3           Q4            Q1   Q2          Q3   Q4   Q1   Q2          Q3   Q4

                1,200

                1,000
Cash Burn




                 800
 ($‘000)




                 600

                 400

                 200

                     0
Development
 Milestones




                Mechanistic PoC         Technology Scope

                                               Incubator Space

                           Equipment
Regulatory/IP
 Milestones




                         Incorporate   IRB

                         IP License          Provisional Patent




                                                                                                                        29
                                                                                        29
Financial / Operational Timeline
                                2012                                                 2013                       2014
                Q1         Q2          Q3           Q4            Q1           Q2           Q3   Q4   Q1   Q2          Q3   Q4

                1,200

                1,000
Cash Burn




                 800
 ($‘000)




                 600

                 400

                 200

                     0
Development
 Milestones




                                                                       Biomarker
                Mechanistic PoC         Technology Scope
                                                                       Validation

                                               Incubator Space

                           Equipment                      Service Development
Regulatory/IP
 Milestones




                         Incorporate   IRB                                    CLIA

                         IP License          Provisional Patent




                                                                                                                                 30
                                                                                                 30
Financial / Operational Timeline
                                2012                                                 2013                                           2014
                Q1         Q2          Q3           Q4            Q1           Q2           Q3       Q4          Q1            Q2          Q3      Q4

                1,200

                1,000
Cash Burn




                 800
 ($‘000)




                 600

                 400

                 200

                     0
Development
 Milestones




                                                                       Biomarker                             Clinical Validation
                Mechanistic PoC         Technology Scope
                                                                       Validation                (Double-blind, placebo controlled Phase II)

                                               Incubator Space                                                    Pharma Sales

                           Equipment                      Service Development
Regulatory/IP
 Milestones




                         Incorporate   IRB                                    CLIA                            CPT Cat III

                         IP License          Provisional Patent                                           Patent Application                    Pat. Issue




                                                                                                                                                             31
                                                                                                      31
Choosing Partners: Decision Matrix
 LAB / Incubator Proof of Concept   COST   TIME   IP issues ?

                                     0

                                     $

                                     $

                                    $$


                                     $
 Hospital Trial




                                    $$


                                    $$$

                                                                32
                                             32
Next Steps
                                                                        FDA Clinical
                                                                          Trials


                                                                        **Grants and
                                                                        Investments
                                                           IP and
                                                          Patents
                                                                          New IP
                                      Hospital trial                     generation

                                         Clinical        **Grants and
                                        Validation       Investments    Personalized
                                                                        treatment of
                       LAB                                                patients
                                                         Complete IP
                                       Publications       protection
                    Incorporating
                      CanScan
    Proof of
    Concept                              New IP          Revenue from
                    **Grants and        generation         Pharma
                    Investments
    Record of
    Invention
                                     Lab Certification    Licensing
                      New IP
   Patent filing                          (CLIA)          royalties
                     generation
Grow cancer cells



  April 2012         May 2012            July 2012        Dec. 2012      Spring 2013



                                                                                       33
                                                         33
Technology: Capture, Culture, Image CTCs




                                     34
                       34
Live cancer cells = Better prognostics?




                                      35
                       35
The CanScan Vision: Personalized Diagnostics

Platform for:
New drug testing


Personalized
Chemosensitivity
testing

Biomarker
Discovery




                                          36
                          36
Thank you!



James Lim, Ph.D., Nelson Chan, Ph.D., Dale Fedun, Brian Feth
Mentor: John Feilders (CMEA Capital)
Lawrence Berkeley National Laboratory
University of California, Berkeley – Haas School of Business

                                                                             37
                                                               37
Appendix



James Lim, Ph.D., Nelson Chan, Ph.D., Dale Fedun, Brian Feth
Mentor: John Feilders (CMEA Capital)
Lawrence Berkeley National Laboratory
University of California, Berkeley – Haas School of Business

                                                                    38
                                                               38
CanScan Technology: Background on CTCs
                   Collection of cells that have the
                   ability to ‘metastasize’ away from
                   the primary tumor



                   Enumeration of CTCs was a better
                   indicator of disease progression
                   than traditional imaging
                   techniques



                   CTCs are potentially a valuable
                   diagnostic and prognostic tool

                                                        39
                          39
Current CTC technologies: Limitations
                  Competitors
                 Marker-Dependent     Marker-
                                      INDEPENDENT

                 Method leads to      Method allows for
                 cell death           LIVE cells to move
                                      and grow

                 Genomic and          Easy to enrich cells
                 Proteomic analysis   for genomic and
                 is difficult         proteomic analysis

                 Technological        Technological
                 DEAD-END             HIGHWAY


                                                      40
                          40
Improving CTC detection and characterization
        Invade
                       Current detection and
                       characterization methods for CTCs
                       fail to address the most intriguing
                       aspect of their biology:
         Adhere

                       CTCs are programmed to
                       invade, adhere and
         Proliferate   proliferate.



                                                         41
                                41
CanScan Tech: substrates and imaging software




                                          42
                          42
Genomic Health: Historical Financials
250
          Profit
200
          Costs
150
          Revenues
100
 50
  0
 -50   2000        2001    2002   2003   2004   2005   2006        2007   2008   2009   2010    2011
-100
-150
-200
-250


80
          Net Profit
          Funding Rounds
60
          Cash Flow
40

20

  0
       2000        2001    2002   2003   2004   2005   2006    2007       2008   2009   2010   2011
-20

-40




                                                                                                       43
                                                              43
Health insurance reimbursement is necessary
        precondition for hospitals to use our service
   Private insurance or Medicare reimbursement requires:


        Evidence of
                                    • Double-blinded, placebo controlled clinical trial with several
                                        hundred participants will be needed
       Clinical Utility
                                           − Must demonstrate the detection is accurate and repeatable
                                           − Must demonstrate improved decision-making ability for physician
                                             linked to better patient outcomes




      Assignment of
                                    • Codes are assigned by the AMA (CPT code) and CMS (HCPCS
                                        code) semi-annually with editorial panel approval (12-18 mo)
      a Billing Code
                                           − CanScan’s likely coding: HCPCS Level II or CPT category III*
                                           − Veridex CellSearch received code in Nov. 2011 for CTCs
                                           − CanScan will likley need new code (non-immunologic)

* Coding used for non-FDA approved service billed by suppliers other than physicians

                                                                                                            44
                                                                                 44
CMS requires that all laboratory testing on human
            specimens be CLIA certified


   • CMS regulates all laboratory testing (except research) performed on humans in the
       U.S. through the Clinical Laboratory Improvement Amendments (CLIA)
          − CLIA certification requires accreditation from a CLIA-certified provider (e.g., CAP)
          − CLIA covers approximately 5,500 independent labs (225,000 total labs)
          − We will likely need to apply for CLIA certification for High Complexity tests *


   • FDA regulates commercially marketed in vitro diagnostic tests under the Clinical
       Laboratory Improvement Amendments (CLIA), not a requirement for CanScan




* Immunicon received approval as a High Complexity lab in 11/2006


                                                                                                   45
                                                                    45
The market size for metastatic cancer diagnostics in
   the US is estimated to be $805 Million / year
 Methodology:                     Value:            Explanation:                       Source:
      U.S. population size        313M       Total U.S. population in 2012         U.S. Census
               x                                                                     Bureau estimate

  U.S. incidence of all cancers   0.512%     Treatment is typically given in       ACS Cancer Facts
                                              the first year following diagnosis     & Figures 2011
               =
   Total U.S. cancer incidence    1.6 M

                x
   % diagnosed with regional                 Cancers that spread to local or       NCI SEER 2011
                                  39.4%
       or distant cancers                     distant lymph nodes or organs          data
                =
    Patients w/ regional or
                                  628,420
        distant cancers
                x
     Cost of diagnosis and                   Weighted avg. patient cost p.a.       JAMA. 2010;
                                  $1,285
     monitoring (annually)                    for imaging procedures (2008)          303(16):1625-1631
                =
   Market size for metastatic
                                  $805M
    cancer Dx / monitoring



                                                                                                 46
                                                          46
Technology: Capture and Culture CTCs
             1. Draw blood                  2. Separate blood through centrifugation




3. Plate cancer cells on S-SUBSTRATES, let them grow           4. Image cancer cells




                                                                                       47
                                                       47
Technology: Enrichment and Selection
               Detailed comparison of
               CTCs from a single patient
               Determining the genetic and proteomic
               makeup of CTC subgroups




                                                       48
                           48

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Can scan final 2012 berkeley

  • 1. Advancing Personalized Medicine one cancer patient at a time. James Lim, Ph.D., Nelson Chan, Ph.D., Dale Fedun, Brian Feth Mentor: John Feilders (CMEA Capital) Lawrence Berkeley National Laboratory University of California, Berkeley – Haas School of Business *73 interviews 1
  • 2. Team of scientists and MBA students James Lim, PhD Scientist Experience: Seven years of cancer cell microscopy Expertise: Live-cell microscopy and cancer cell biology Dale Nelson James Brian Nelson Chan, PhD Scientist Experience: Seven years of cancer research Expertise: Biochemical and toxicological analysis mediating cancer cell death Brian Feth MBA Experience: Five years in life sciences business strategy consulting and private equity Expertise: Business model development and project management Dale Fedun MBA Experience: Twelve years in creating and managing business IT programs Expertise: Business model and IT system development 2 2
  • 3. Circulating Tumor Cells (CTCs): Initial Idea Circulating tumor cells Oncologists & Pathologists Cancer cells that have Does my patient have any detached from the CTCs? tumor and are How aggressive are they? circulating in the blood stream Capture and grow CTCs Video technology to characterize aggressiveness 3 3
  • 4. Testing our initial hypotheses: Focus on customer segments and value propositions Diagnosis/ Direct sales Advocacy Groups Consultation Prognosis: Conferences Clinicians Regulatory Cell- Cell validation MD office Adverts Oncologists Agency Characterization Patient mgmt Publications Pathologists Oncologists Database building Drug selection Patient Patients Physicians Assoc Disposal advertisements R&D Minimally invasive Low cost Specific IP Fast Patient Database Hospital MD office, HMO Advocacy Groups Pharma Variable: Media, plastic ware, personnel, computing Service per time point (service/use) storage, building space Kits / Reagents (patients only) Fixed: Centrifuge, microscopes, freezers, incubators, and hoods 4 4
  • 5. Get out of the Building! Talked to customers and partners to test our hypotheses • Visited local hospitals and clinics • Called nurses and patients to get perspectives • Spoke with physician and patient advocacy groups • Hit the rolodex, plan interviews far in advance, daisy-chain to new contacts 5 5
  • 6. Key people we spoke to: Dr. Leisha Emens Dr. John Siebel Dr. Ana Aguilar Dr. Scott North Dr. George Sledge Dr. Alan Venook Dr. Peter Eisenberg Dr. Cassandra Lee Dr. Balaram Puligandla Dr. Ken Pritzker (CEO) Dr. Doug Tkachuk (CMO) Dr. Scott Minick (CEO) 6 6
  • 7. Determining our customers Oncologist Pathologist Patient management Sample management • Oncologists decide • Pathologists perform in- what tests to order, house tests and when, and how often facilitate contracts with service providers • Primary customer • Less important 7 7
  • 8. Key messages from Oncologists: Dr. Siebel “Culturing a patient’s CTCs to test efficacy of therapies would be valuable, if you could prove in vitro results are replicated in vivo.” Dr. Sledge “Don’t give us more data. Tell us which drug to use for each patient.” Dr. North “Definitively knowing if a patient should get chemo would be a major breakthrough in oncology.” 8 8
  • 9. What we learned from similar companies: RNA Diagnostics “The space is crowded; there are many start-ups enumerating CTCs” LifeLabs “The clinical setting is difficult and can take years to get to market” Bind Biosciences “CTC enumeration is not as useful and provides a limited sample. Your approach is unique and overcomes key limitations.” 9 9
  • 10. The value proposition epiphany: CanScan is a cell culture company! 10 10
  • 11. We are unique in our ability to culture CTCs Technology Capability Company Product Technology Channel Isolate Count Analyze Culture Parsortix Filter  Kits CellSearch Antibody  Kits Vita-Assays Substrate  Kits Mvs360 Antibody  Device OncoCEE Microfluidics   CLIA labs LiquidBiopsy Antibody   CLIA labs ISET device Filter   Device On-Q-ITY chip Microfluidics    Device ApoStreamTM Technology Microfluidics    Device - Substrate     CLIA? *This is an abbreviated list 11 11 Class 8 - Update 3.19.2012
  • 12. Cell culture value proposition Identify and enumerate CTCs Characterize growth potential Culture Test Chemotherapies CTCs Test CTCs for biomarkers 12 12
  • 13. Updated business canvas Consultation Characterization Provide new data Direct sales Advocacy Groups Database building to improve Conferences Regulatory R&D treatment MD office Adverts Agency Oncologists decisions Publications Oncologists Treatment Patient Physicians Assoc determination in advertisements vitro Pharmaceutical Researchers IP Patient Database Hospital MD CLIA certification office, HMO Advocacy Groups Pharma Variable: Media, plastic ware, personnel, computing Service per time point (service/use) storage, building space Kits / Reagents (patients only) Fixed: Centrifuge, microscopes, freezers, incubators, and hoods 13 13
  • 14. Alternative market model • Urged by the teaching team to Private CMS payer/MAC explore alternative markets Hospital / Clinic • Interviewed clinical research Lab Advisory Commi ee Oncologists ASCO / organizations, pharma/biotech, NCCN and academics CanScan Influence Payment Sets rate 14 14
  • 15. Alternative market model • Urged by the teaching team to explore alternative markets • Interviewed clinical research organization, pharma/biotech, and academics 15 15
  • 16. Partnering with Quest Diagnostics • Covers 130 countries • 2000 sites in the US 16 16
  • 17. Partnering with Quest Diagnostics 17 17
  • 18. Partnering with Quest Diagnostics 18 18
  • 19. Key people we spoke to: Dr. Ming Tong Dr. Brian Edmunds Dr. Philip Tagari Dr. Thomas Fare Dr. Sal Russelo Dr. Steve Labkoff Dr. Lisa Hewitt Dr. Zemin Zhang Dr. John Sninsky Dr. Scott Patterson Dr. Lawrence LaPointe Dr. Slyvie Sakata 19
  • 20. New opportunity: Pharmaceutical drug testing “A better human-like in vitro models for high throughput screening” Head Research Development Amgen “This would be a powerful platform to test personalized drugs” VP Business Development “Testing drug on circulating cancer cells Merck could offer us better end-points to evaluate drug candidate effectiveness” Head Research Development “Come work with us, we will be Abbott Laboratories your first customer!” CEO Clinical Genomics 20 20
  • 21. Pharmaceutical customer Low Barrier to Entry Quick Revenue 21 21
  • 22. Current business canvas Cell charact. Database dev. Provide new data Personal Str. Alliances: Product/IP Dev to improve assistance, local hospitals - Treatment sel. treatment Automated Marin Gen Oncologists In vitro screening decisions. services Hospital, CHRC Oakland. Consultation Cell Line bank. Pharmaceutical Cancer drug Med Device – Researchers efficacy screening. Medtronic, Baxter IP CTC biomarker Tech Validation- discovery Patient Database Sales force Clinical Genomics CLIA certification CPT Code Joint Venture: Quest Diagnostics Variable: IP Licensing, lab supplies, personnel, IT, Usage fee per CTC scan, data/consulting specimen transportation sales, cell line sales, instrument/kits product Fixed: Lab equipment, lab space, SG&A, R&D model 22 22
  • 23. Intellectual property progress Who owns What is Patent New IP the IP? patentable ? process generation Progress Spoke to Berkeley Initial meeting with Provisional and New IP for keeping Tech Transfer IP lawyer Utility application competitors away Provisional Utility Application International Patent (US) Patents 12 months Up to 30 months 23 23
  • 24. Path to Revenues Mechanistic PoC Concept • Cell culture feasibility Validation • Mouse models ✓ Requirements • 20-30 human blood samples • $10-15K Cost ($100K+ equip) • Access to lab Time 2-3 Months 24 24
  • 25. Path to Revenues Mechanistic Technology PoC Scope Concept • Cell culture • Proof of feasibility Concept in Validation multiple cancer types • Reproducibility • Mouse models • 100+ human Requirements • 20-30 human blood samples blood samples • $10-15K • $50K+ Cost ($100K+ equip) • Incubator space • Access to lab Time 2-3 Months 3-6 Months 25 25
  • 26. Path to Revenues Mechanistic Technology Biomarker PoC Scope Validation Concept • Cell culture • PoC in multiple • CTC / tumor feasibility cancer types characterization Validation • Reproducibility • Mouse models • 100+ human • Genomic / Pharma Requirements • 20-30 human blood samples Proteomic blood samples • Morphology Sales • $10-15K • $50K+ • Outsource Cost ($100K+ equip) • Incubator space (~$20K) • Access to lab • Service/kit dev. Time 2-3 Months 3-6 Months 1-2 Months 26 26
  • 27. Path to Revenues Mechanistic Technology Biomarker Clinical PoC Scope Validation Validation Concept • Cell culture • PoC in multiple • CTC / tumor • Patient feasibility cancer types characterization stratification Validation • Reproducibility • Mouse models • 100+ human • Genomic / • Phase II trial Clinical Requirements • 20-30 human blood samples Proteomic (~200 patients) blood samples • Morphology • Treatment use Sales • $10-15K • $50K+ • Outsource • Outsource Cost ($100K+ equip) • Incubator space (~$20K) ($500K-$1M) • Access to lab • Service/kit dev. • CPT Code/CLIA Time 2-3 Months 3-6 Months 1-2 Months 1-2 Years 27 27
  • 28. Financial / Operational Timeline 2012 2013 2014 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 1,200 1,000 Cash Burn 800 ($‘000) 600 400 200 0 Development Milestones Mechanistic PoC Incubator Space Equipment Regulatory/IP Milestones Incorporate IP License Provisional Patent 28 28
  • 29. Financial / Operational Timeline 2012 2013 2014 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 1,200 1,000 Cash Burn 800 ($‘000) 600 400 200 0 Development Milestones Mechanistic PoC Technology Scope Incubator Space Equipment Regulatory/IP Milestones Incorporate IRB IP License Provisional Patent 29 29
  • 30. Financial / Operational Timeline 2012 2013 2014 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 1,200 1,000 Cash Burn 800 ($‘000) 600 400 200 0 Development Milestones Biomarker Mechanistic PoC Technology Scope Validation Incubator Space Equipment Service Development Regulatory/IP Milestones Incorporate IRB CLIA IP License Provisional Patent 30 30
  • 31. Financial / Operational Timeline 2012 2013 2014 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 1,200 1,000 Cash Burn 800 ($‘000) 600 400 200 0 Development Milestones Biomarker Clinical Validation Mechanistic PoC Technology Scope Validation (Double-blind, placebo controlled Phase II) Incubator Space Pharma Sales Equipment Service Development Regulatory/IP Milestones Incorporate IRB CLIA CPT Cat III IP License Provisional Patent Patent Application Pat. Issue 31 31
  • 32. Choosing Partners: Decision Matrix LAB / Incubator Proof of Concept COST TIME IP issues ? 0 $ $ $$ $ Hospital Trial $$ $$$ 32 32
  • 33. Next Steps FDA Clinical Trials **Grants and Investments IP and Patents New IP Hospital trial generation Clinical **Grants and Validation Investments Personalized treatment of LAB patients Complete IP Publications protection Incorporating CanScan Proof of Concept New IP Revenue from **Grants and generation Pharma Investments Record of Invention Lab Certification Licensing New IP Patent filing (CLIA) royalties generation Grow cancer cells April 2012 May 2012 July 2012 Dec. 2012 Spring 2013 33 33
  • 34. Technology: Capture, Culture, Image CTCs 34 34
  • 35. Live cancer cells = Better prognostics? 35 35
  • 36. The CanScan Vision: Personalized Diagnostics Platform for: New drug testing Personalized Chemosensitivity testing Biomarker Discovery 36 36
  • 37. Thank you! James Lim, Ph.D., Nelson Chan, Ph.D., Dale Fedun, Brian Feth Mentor: John Feilders (CMEA Capital) Lawrence Berkeley National Laboratory University of California, Berkeley – Haas School of Business 37 37
  • 38. Appendix James Lim, Ph.D., Nelson Chan, Ph.D., Dale Fedun, Brian Feth Mentor: John Feilders (CMEA Capital) Lawrence Berkeley National Laboratory University of California, Berkeley – Haas School of Business 38 38
  • 39. CanScan Technology: Background on CTCs Collection of cells that have the ability to ‘metastasize’ away from the primary tumor Enumeration of CTCs was a better indicator of disease progression than traditional imaging techniques CTCs are potentially a valuable diagnostic and prognostic tool 39 39
  • 40. Current CTC technologies: Limitations Competitors Marker-Dependent Marker- INDEPENDENT Method leads to Method allows for cell death LIVE cells to move and grow Genomic and Easy to enrich cells Proteomic analysis for genomic and is difficult proteomic analysis Technological Technological DEAD-END HIGHWAY 40 40
  • 41. Improving CTC detection and characterization Invade Current detection and characterization methods for CTCs fail to address the most intriguing aspect of their biology: Adhere CTCs are programmed to invade, adhere and Proliferate proliferate. 41 41
  • 42. CanScan Tech: substrates and imaging software 42 42
  • 43. Genomic Health: Historical Financials 250 Profit 200 Costs 150 Revenues 100 50 0 -50 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 -100 -150 -200 -250 80 Net Profit Funding Rounds 60 Cash Flow 40 20 0 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 -20 -40 43 43
  • 44. Health insurance reimbursement is necessary precondition for hospitals to use our service Private insurance or Medicare reimbursement requires: Evidence of • Double-blinded, placebo controlled clinical trial with several hundred participants will be needed Clinical Utility − Must demonstrate the detection is accurate and repeatable − Must demonstrate improved decision-making ability for physician linked to better patient outcomes Assignment of • Codes are assigned by the AMA (CPT code) and CMS (HCPCS code) semi-annually with editorial panel approval (12-18 mo) a Billing Code − CanScan’s likely coding: HCPCS Level II or CPT category III* − Veridex CellSearch received code in Nov. 2011 for CTCs − CanScan will likley need new code (non-immunologic) * Coding used for non-FDA approved service billed by suppliers other than physicians 44 44
  • 45. CMS requires that all laboratory testing on human specimens be CLIA certified • CMS regulates all laboratory testing (except research) performed on humans in the U.S. through the Clinical Laboratory Improvement Amendments (CLIA) − CLIA certification requires accreditation from a CLIA-certified provider (e.g., CAP) − CLIA covers approximately 5,500 independent labs (225,000 total labs) − We will likely need to apply for CLIA certification for High Complexity tests * • FDA regulates commercially marketed in vitro diagnostic tests under the Clinical Laboratory Improvement Amendments (CLIA), not a requirement for CanScan * Immunicon received approval as a High Complexity lab in 11/2006 45 45
  • 46. The market size for metastatic cancer diagnostics in the US is estimated to be $805 Million / year Methodology: Value: Explanation: Source: U.S. population size 313M  Total U.S. population in 2012  U.S. Census x Bureau estimate U.S. incidence of all cancers 0.512%  Treatment is typically given in  ACS Cancer Facts the first year following diagnosis & Figures 2011 = Total U.S. cancer incidence 1.6 M x % diagnosed with regional  Cancers that spread to local or  NCI SEER 2011 39.4% or distant cancers distant lymph nodes or organs data = Patients w/ regional or 628,420 distant cancers x Cost of diagnosis and  Weighted avg. patient cost p.a.  JAMA. 2010; $1,285 monitoring (annually) for imaging procedures (2008) 303(16):1625-1631 = Market size for metastatic $805M cancer Dx / monitoring 46 46
  • 47. Technology: Capture and Culture CTCs 1. Draw blood 2. Separate blood through centrifugation 3. Plate cancer cells on S-SUBSTRATES, let them grow 4. Image cancer cells 47 47
  • 48. Technology: Enrichment and Selection Detailed comparison of CTCs from a single patient Determining the genetic and proteomic makeup of CTC subgroups 48 48

Editor's Notes

  1. Our team has a depth of scientific and business experience in our core markets
  2. We initially believed we were a visualization company with a novel approach to characterizing cancer Create value by enumerating and characterizing the aggressiveness of CTCsTarget customers in hospital (i.e., pathologist, oncologist, patients) Use a CLIA-based service model to deliver value to customersUse direct sales channels to reach customers in the hospital
  3. When we entered the class, we thought our target markets were physicians managing clinical trials, pathologists (traditionally the main cancer diagnostician at a hospital), oncologists, and patients. And we were fairly certain the patients might be interested in purchasing kits to look for cancer recurrence.
  4. Interview summary slideShowwe had discussions with oncologists and competitors from these institutions(see mammoptics slide 10)
  5. What oncologists do, what pathologists do. Focus on oncologists.Need a new approach to get interviews with oncologists. Hit the rolodex, plan interviews far in advance, daisy-chain to new contactsPathologists do not order tests, and usually don’t decide where to source a test from, so are less important to our business
  6. key learnings from oncologists (value proposition)
  7. Title and company for “quotes”
  8. Leading up to this slide, we need to be developing the case for a pivot into a cell culture company. John didn’t seem clear on how/why we decided this.
  9. Change technology column to: Dead vs live cellsThe point of this slide is simply that right now culturing is a unique proposition. Do not focus on all competitors or what they do or how we will compete. Make the simple point of for now we have a unique proposition.
  10. Value Proposition of Cell CulturingCell culture node in the middleBubbles appearing around showing value prop of cell culturingSimilar to mammoptics slide 19
  11. This is about "reimbursement“. Use our original slide, then on the next slide overlay “start-ups can die while waiting for a CPT code"(mammoptics slides 11&12)The point here is CPT Code
  12. This is about "reimbursement“. Use our original slide, then on the next slide overlay “start-ups can die while waiting for a CPT code"(mammoptics slides 11&12)The point here is CPT Code
  13. To Do:Quest logo, map to show they are national-what Quest does-they would build it for us-10% of revenues
  14. To Do:Quest logo, map to show they are national-what Quest does-they would build it for us-10% of revenues
  15. To Do:Quest logo, map to show they are national-what Quest does-they would build it for us-10% of revenues
  16. Interview summary slideShowwe had discussions with oncologists and competitors from these institutions(see mammoptics slide 10)
  17. They are willing to purchase the CTCS. Also they are willing to outsource the service to us. _____________AnimationThis is the far better than our cancer cell modelsThis would be a powerful companion diagnostic tool to support personalized medicinesThis can improve personalized medicineCulture CTC is good, this can change how we developWe need it, this is whyNo regulation to serve usWe’ll pay for it when you can prove itSame format as previous bubble slides: pharma has a large unmet need for better human-like in vitro HTS models (quotes).
  18. We need it, this is whyNo regulation to serve usWe’ll pay for it when you can prove itSame format as previous bubble slides: pharma has a large unmet need for better human-like in vitro HTS models (quotes).
  19. Development timeline (milestones)graph of costs over time Similar to mammoptics slides 57 – 63 (but less busy)
  20. Development timeline (milestones)graph of costs over time Similar to mammoptics slides 57 – 63 (but less busy)
  21. Development timeline (milestones)graph of costs over time Similar to mammoptics slides 57 – 63 (but less busy)
  22. Average clinical trial cost per patient is $6,000, which would imply $1.2M for a 200 patient trial. However, the cost of trials is a range that we think we’re on the low end of since it would be existing drugs used
  23. Average clinical trial cost per patient is $6,000, which would imply $1.2M for a 200 patient trial. However, the cost of trials is a range that we think we’re on the low end of since it would be existing drugs used
  24. Average clinical trial cost per patient is $6,000, which would imply $1.2M for a 200 patient trial. However, the cost of trials is a range that we think we’re on the low end of since it would be existing drugs used
  25. Average clinical trial cost per patient is $6,000, which would imply $1.2M for a 200 patient trial. However, the cost of trials is a range that we think we’re on the low end of since it would be existing drugs used
  26. Average clinical trial cost per patient is $6,000, which would imply $1.2M for a 200 patient trial. However, the cost of trials is a range that we think we’re on the low end of since it would be existing drugs used
  27. Overview of failed trials – most recent, one FDA approved device / comprehensive overview of CTCs in the clinical setting. TRY TO FIND TRIALS FOR PEDIATRICS – this might be the first of its kind… / emphasize that.
  28. Overview of failed trials – most recent, one FDA approved device / comprehensive overview of CTCs in the clinical setting. TRY TO FIND TRIALS FOR PEDIATRICS – this might be the first of its kind… / emphasize that.
  29. Overview of failed trials – most recent, one FDA approved device / comprehensive overview of CTCs in the clinical setting. TRY TO FIND TRIALS FOR PEDIATRICS – this might be the first of its kind… / emphasize that.
  30. Historical significance, what are they, what are some of the unique attributes of these cells / cite tons of references
  31. Marker/antibody based approaches have inherent limitationsLowsensitivity, specificity, and reproducibility.
  32. Marker/antibody based approaches have inherent limitationsLowsensitivity, specificity, and reproducibility.
  33. Overview of failed trials – most recent, one FDA approved device / comprehensive overview of CTCs in the clinical setting. TRY TO FIND TRIALS FOR PEDIATRICS – this might be the first of its kind… / emphasize that.
  34. Average clinical trial cost per patient is $6,000, which would imply $1.2M for a 200 patient trial. However, the cost of trials is a range that we think we’re on the low end of since it would be existing drugs used
  35. Overview of failed trials – most recent, one FDA approved device / comprehensive overview of CTCs in the clinical setting. TRY TO FIND TRIALS FOR PEDIATRICS – this might be the first of its kind… / emphasize that.
  36. Overview of failed trials – most recent, one FDA approved device / comprehensive overview of CTCs in the clinical setting. TRY TO FIND TRIALS FOR PEDIATRICS – this might be the first of its kind… / emphasize that.