Why commercialization of gene therapy stalled; examining the life cycles of gene therapy technologies Supplementary Information Fred D. Ledley, Laura M. McNamee, Vedat Uzdil, Irvin W. Morgan, Jr. Bentley University, 175 Forest Street, Waltham, MA 02452 Supplementary information A. Bibliometric analysis Supplemental Table 1a. Boolean terms for publication search Supplemental Table 1b. Boolean terms for patent search B. Multivariate statistical analysis Supplemental Table 2a. Correlation Table Supplemental Table 2b. Multivariate regression performed with annual Capital Investment, cumulative publications, NASDAQ Composite Index, and the number of gene therapy companies Supplemental Table 2c. Multivariate regression performed with annual Capital Investment, cumulative patents, NASDAQ Composite Index, and the number of gene therapy companies C. Companies and financing totals Supplemental Table 3. Companies and financing totals used in this study. References A. BIBLIOMETRIC ANALYSIS Bibliometric methods involve quantifying the number of research publications or number of patents as a measure of scientific activity or progress.1-6 These methods posit that each peer-reviewed research report or patent embodies a quantum of new information about a specific topic. Integrated over large numbers of papers, representing a distribution of major (large), minor (small), or even erroneous (negative) findings, the total number of publications on a particular technology provides a metric for progress. For this analysis, Boolean search terms are used to identify relevant citations in the PUBMED database of the National Center for Biotechnology Information (NCBI) (www.pubmed.gov) or the US Patent and Trademark (USPTO) (www.uspto.gov). The annual number of publications is determined by the publication date, and the annual number of patents is determined by the date of issuance. Table 1a. Boolean terms for publication search. Actual search terms in the Query Translation vary. Technology Search terms Gene therapy Gene therapy not review Non-viral Gene therapy and (nonviral or non-viral or liposome or lipofection or particle or formulation or "gene gun" or particle or particulate or electroporation) not review Retroviral gene therapy and murine and (retrovirus or retroviral) Adenoviral gene therapy and (adenovirus or adenoviral) not review Lentiviral gene therapy and (lentivirus or lentiviral) not review AAV gene therapy and (adenoassociated or adeno-associated or "adeno associated") not review Table 1b. Boolean terms for patent search. Search was performed on specifications (SPEC/) Technology Adeno Retro AAV Lenti Non-viral Search terms (((("gene therapy") or ("genetic therapy")) and ("adenovirus" or "adenoviral")) andnot ((((adenoassociated or adeno-associated) or AAV)or lentivirus) or retrovirus)) ((("gene therapy") or ("genetic therapy")) and (("retrovirus" or "retroviral")) andnot (("adenovirus" or "adenoviral") or lentivirus)) ((("gene therapy") or ("genetic therapy")) and (((adenoassociated or "adenoassociated") or AAV)) ANDNOT (murine and (retrovirus or retroviral))) ((("gene therapy") or ("genetic therapy")) and lentivirus ) ((("Gene therapy" or "genetic therapy") AND (((((((((("nonviral" OR "non-viral") OR "liposome") OR "lipofection") OR "particle") OR "formulation") OR "gene gun") OR naked) OR "polymer") OR "particulate") OR "electroporation")) ANDNOT ((((((((((Herpes OR "adeno-associated") OR polynoma) OR papilloma) OR sv40) OR lentivirus) OR lentiviral) OR adenovirus) OR adenoviral) OR retrovirus) OR retroviral)) B. MULTIVARIATE STATISTICAL ANALYSIS Multivariate regressions were performed to examine the relationship between annual capital investment in gene therapy companies and: (a) metrics for the maturation of gene therapy, either the cumulative number of publications or cumulative number of patents; (b) market conditions reflected in the NASDAQ Composite Index; (c) the number of gene therapy companies. Multivariate analysis was performed in Microsoft Excel. Two models are shown, each of which has an R2=0.88, indicating that the model statistically accounts for ~88% of the annual variation in investment. In both models, annual capital investments in gene therapy significantly correlate with the NASDAQ Composite Index and number of companies, but negatively correlate with the maturation of gene therapy, as measured either by the cumulative number of publications or cumulative number of patents. Supplemental Table 2a. Correlation Table Annual Capital investment Cumulative Papers Cumulative Patents NASDAQ Composite Index # Companies Investment 1 Papers 0.49 1 Patents 0.52 0.99 1 NASDAQ 0.87 0.71 0.73 1 Companies 0.81 0.84 0.87 0.86 1 Supplemental Table 2b. Multivariate regression performed with annual Capital Investment, cumulative publications, NASDAQ Composite Index, and the number of gene therapy companies. Regression Statistics Multiple R 0.94 R Square 0.88 Adjusted R Square 0.86 Standard Error 36.59 Observations 25 ANOVA Regression Residual Total Intercept Papers NASDAQ # Companies Coefficients -18.34 -0.01 0.07 3.85 df 3 21 24 Standard Error 17.41 0.00 0.02 0.94 SS 202884 28121 231006 t Stat -1.05 -4.39 4.09 4.10 MS 67628 1339 P-value 0.30 0.0003 0.0005 0.0005 F 51 Significance F 8.90E-10 Lower 95% -54.54 -0.01 0.03 1.90 Upper 95% 17.85 -0.0027 0.10 5.80 Supplemental Table 2c. Multivariate regression performed with annual Capital Investment, cumulative patents, NASDAQ Composite Index, and the number of gene therapy companies. Regression Statistics Multiple R 0.94 R Square 0.88 Adjusted R Square 0.86 Standard Error 36.33 Observations 25 ANOVA Regression Residual Total Intercept Patents NASDAQ # Companies Coefficients -23.35 -0.01 0.07 4.18 df 3 21 24 Standard Error 17.75 0.002 0.02 0.98 SS 203289 27717 231006 t Stat -1.31 -4.46 4.06 4.28 MS 67763 1320 P-value 0.20 0.0002 0.0006 0.0003 F 51 Significance F 7.65E-10 Lower 95% -60.27 -0.015 0.03 2.15 Upper 95% 13.58 -0.005 0.10 6.22 C. COMPANIES AND FINANCING TOTALS Clinical trials of gene therapy were identified in the Wiley database on Gene Therapy Trials Worldwide.7 Companies engaged in gene therapy were identified in the “gene/cell therapy” category of BioCentury’s BCIQ database, the biotechnology database described by Morgan and Abetti,8 and in Jain.9 Each company’s technology was characterized from reports in BioCentury, press releases, company web sites, or regulatory filings, as well as patents or publications citing the company as the “institution.” Companies developing cell therapies, stem cells, non-therapeutic products (e.g., platforms, devices, diagnostics) as well as companies that were developing other classes of products in addition to gene therapies were excluded from this analysis. Capital financings were identified in the BioCentury BCIQ database, the Moran and Abetti database,8 or CapitalIQ. This analysis did not include other forms of financing such as non-convertible debt, non-capital investments by non-profit or government organizations, grants, or revenues from contract research, products or services. Supplemental Table 3. Companies and financing totals included in study. Company # Financings total raised founded Amsterdam Molecular Therapeutics N.V. AnGes MG Inc./Medgene Bioscience Applied Genetic Technologies Corp. Ark Therapeutics Group plc Asklepios BioPharmaceutical Inc Avigen Avior Therapeutics Inc. Calydon Inc. Cardiogene AG Cardion AG Ceregene Inc. Chatham Cobra Therapeutics Ltd. (fka Therexsys Ltd.) Copernicus Therapeutics Inc. Corautus Genetics Inc. Danbiosyst Epeius Biotechnologies Eurogene Ltd. Eurogene Ltd. (aka Ark Therapeutics) Expression Genetics FKD Therapies Oy Geneart AG GeneMedicine Inc. Genetic Therapy Inc. Genetix Pharmaceuticals Inc./ Buebird bio. Inc. Genovo GenStar Therapeutics Inc./ Urogen Genteric Inc. 5 3 5 0 11 0 3 5 5 6 0 3 4 7 0 0 4 4 2 2 2 9 13 5 4 0 3 22 $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ 132,636,544 88,419,037 27,100,000 250,652,869 249,960,155 22,000,000 83,575,000 83,575,000 88,370,000 43,500,000 13,649,900 46,510,680 28,695,000 28,695,000 12,000,000 16,000,000 22,500,000 75,600,000 100,689,000 78,900,000 26,200,000 31,000,000 1998 1999 1999 1997 2003 1992 2001 1994 1996 1996 2001 2012 1992 1997 1994 1989 2000 1997 1997 1998 2011 1999 1992 1986 1992 1992 1995 1997 Technology (primary) AAV Nonviral AAV Adeno AAV AAV Adeno Adeno Adeno Nonviral AAV AAC Nonviral Nonviral Nonviral Nonviral Retroviral Nonviral Nonviral Nonviral Adeno Nonviral Nonviral Retro Lenti Adeo Adeno Nonviral Supplemental Table 3 (continued). Companies and financing totals included in study. Company # Financings total raised GenVec Inc Ichor Introgen Therapeutics Inc. IntroGene B.V. Intronn Inc./Proteome Lentigen Medgenics Inc. Medigene AG Megabios Corp. Mirus Bio Corp. Mologen AG NanoCor Neozyme II Neurologix Inc. Oxford BioMedica plc PolyMasc Pharmaceuticals plc Prizm/Selective Genetics Inc. ReGenX Biosciences LLC Somatix Therapy Targeted Genetics Corp. Therexsys Transgene S.A. (fka Ribogene) UroGen Corp. Valentis Vascular Genetics Inc. Via Pharmaceuticals Vical Inc. VimRx Pharmaceuticals Inc VirRx Virxsys Corp. 0 12 4 5 0 12 3 7 2 7 0 2 6 12 2 0 9 0 16 10 3 2 5 11 4 13 15 0 8 0 $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ 236,090,000 157,055,200 46,700,000 22,932,485 41,685,055 146,500,000 70,400,000 5,400,000 32,819,897 85,000,000 42,165,885 216,109,601 7,000,000 92,171,999 185,351,228 33,900,000 558,849,527 19,300,000 105,350,000 54,750,000 28,250,000 318,331,498 80,050,000 94,500,000 founded Technology (primary) 1992 1994 1993 1993 1993 2004 2001 1994 1992 1995 1998 2005 1992 1999 1995 1995 1992 2008 1988 1992 1992 1979 1995 1998 1994 1994 1987 1986 1999 1998 Adeno Nonviral Adeno Adeno Lenti Lenti Adeno AAV Nonviral Nonviral Nonviral AAV Adeno AAV Lenti Nonviral Adeno AAV Retro AAV Nonviral Adeno Adeno nonviral Nonviral Nonviral Nonviral Retro Adeno Lenti References 1. 2. 3. 4. 5. 6. 7. 8. 9. Agarwal, P. & Searls, D.B. Can literature analysis identify innovation drivers in drug discovery? Nat Rev Drug Discov 8, 865-878 (2009). Garfield, E. & Melino, G. The growth of the cell death field: an analysis from the ISI-Science citation index. Cell Death Differ 4, 352-361 (1997). McNamee, L.M. & Ledley, F.D. Patterns of technological innovation in biotech. Nat Biotechnol 30, 937-943 (2012). Marshall, A. Trends in biotech literature 2008. Nature Biotechnology 27, 789-789 (2009). Taroncher-Oldenburg, G. & Marshall, A. Trends in biotech literature 2007. Nat Biotechnol 26, 1062 (2008). Taroncher-Oldenburg, G. & Marshall, A. Trends in biotech literature 2006. Nat Biotechnol 25, 961 (2007). Ginn, S.L., Alexander, I.E., Edelstein, M.L., Abedi, M.R. & Wixon, J. Gene therapy clinical trials worldwide to 2012 - an update. J Gene Med 15, 65-77 (2013). Morgan Jr, I.W. & Abetti, P.A. Private and Public “Cradle to Maturity” Financing Patterns of US Biotech Ventures (1970-2001). The Journal of Private Equity 7, 9-25 (2004). Jain, K. A Special Report on Gene Therapy. (Wiley, 2000).