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Relationships between drug activity in NCI preclinical in vitro and in vivo models and early clinical trials
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  • Open access
  • Published: 15 May 2001

Relationships between drug activity in NCI preclinical in vitro and in vivo models and early clinical trials

  • J I Johnson1,
  • S Decker1,
  • D Zaharevitz1,
  • L V Rubinstein2,
  • J M Venditti3,
  • S Schepartz3,
  • S Kalyandrug2,
  • M Christian2,
  • S Arbuck2,
  • M Hollingshead1 &
  • …
  • E A Sausville1 

British Journal of Cancer volume 84, pages 1424–1431 (2001)Cite this article

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Abstract

An analysis of the activity of compounds tested in pre-clinical in vivo and in vitro assays by the National Cancer Institute's Developmental Therapeutics Program was performed. For 39 agents with both xenograft data and Phase II clinical trials results available, in vivo activity in a particular histology in a tumour model did not closely correlate with activity in the same human cancer histology, casting doubt on the correspondence of the pre-clinical models to clinical results. However, for compounds with in vivo activity in at least one-third of tested xenograft models, there was correlation with ultimate activity in at least some Phase II trials. Thus, an efficient means of predicting activity in vivo models remains desirable for compounds with anti-proliferative activity in vitro. For 564 compounds tested in the hollow fibre assay which were also tested against in vivo tumour models, the likelihood of finding xenograft activity in at least one-third of the in vivo models tested rose with increasing intraperitoneal hollow fibre activity, from 8% for all compounds tested to 20% in agents with evidence of response in more than 6 intraperitoneal fibres (P< 0.0001). Intraperitoneal hollow fibre activity was also found to be a better predictor of xenograft activity than either subcutaneous hollow fibre activity or intraperitoneal plus subcutaneous activity combined. Since hollow fibre activity was a useful indicator of potential in vivo response, correlates with hollow fibre activity were examined for 2304 compounds tested in both the NCI 60 cell line in vitro cancer drug screen and hollow fibre assay. A positive correlation was found for histologic selectivity between in vitro and hollow fibre responses. The most striking correlation was between potency in the 60 cell line screen and hollow fibre activity; 56% of compounds with mean 50% growth inhibition below 10–7.5 M were active in more than 6 intraperitoneal fibres whereas only 4% of compounds with a potency of 10–4 M achieved the same level of hollow fibre activity (P< 0.0001). Structural parameters of the drugs analysed included compound molecular weight and hydrogen-bonding factors, both of which were found to be predictive of hollow fibre activity. © 2001 Cancer Research Campaign

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  • 16 November 2011

    This paper was modified 12 months after initial publication to switch to Creative Commons licence terms, as noted at publication

References

  • Alley MC, Scudiero DA, Monks A, Hursey ML, Czerwinski MJ, Fine DL, Abbott BJ, Mayo JG, Shoemaker RH and Boyd MR (1988) Feasibility of drug screening with panels of human tumor cell lines using a microculture tetrazolium assay. Cancer Res 48: 589–601

    CAS  PubMed  Google Scholar 

  • DeVita VT, Hellmann S and Rosenberg SA (1982). Cancer Principles and Practice of Oncology, Lippincott-Raven: Philadelphia

    Google Scholar 

  • DeVita VT, Hellmann S and Rosenberg SA (1985). Cancer Principles and Practice of Oncology, Lippincott-Raven: Philadelphia

    Google Scholar 

  • DeVita VT, Hellmann S and Rosenberg SA (1989). Cancer Principles and Practice of Oncology, Lippincott-Raven: Philadelphia

    Google Scholar 

  • DeVita VT, Hellmann S and Rosenberg SA (1993). Cancer Principles and Practice of Oncology, Lippincott-Raven: Philadelphia

    Google Scholar 

  • DeVita VT, Hellmann S and Rosenberg SA (1997). Cancer Principles and Practice of Oncology, Lippincott-Raven: Philadelphia

    Google Scholar 

  • Dykes DJ, Abbott BJ, Mayo JG, Harrison, Jr SD, Laster, Jr WR, Simpson-Herren L and Griswold, Jr DP (1992) Development of human tumor xenograft models for in vivo evaluation of new antitumor drugs. Contrib Oncol 42: 1–22

    Google Scholar 

  • Gellhorn A and Hirschberg E (1955) Investigation of diverse systems for cancer chemotherapy screening. Cancer Res Suppl 3: 1–125

    Article  Google Scholar 

  • Ghose AK, Viswanadhan VN and Wendoloski JJ (1999) A knowledge-based approach in designing combinatorial or medicinal chemistry libraries for drug discovery. 1. A qualitative and quantitative characterization of known drug databases. J Comb Chem 1: 55–68

    Article  CAS  Google Scholar 

  • Hahnfeldt P, Panigrahy D, Folkman J and Hlatky L (1999) Tumor development under angiogenic signaling: a dynamical theory of tumor growth, treatment response, and postvasular dormancy. Cancer Res 59: 4770–4775

    CAS  PubMed  Google Scholar 

  • Hollingshead M, Plowman J, Alley M, Mayo J and Sausville E (1999) The hollow fiber assay. In: Contributions to Oncology, Volume 54: Relevance of Tumor Models for Anticancer Drug Development, Fiebig H, Burger AM (eds) pp. 109–120, Karger: Freiburg

    Google Scholar 

  • Lipinski CA, Lombardo F, Dominy BW and Feeney PJ (1997) Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. Adv. Drug Delivery Rev 23: 3–25

    Article  CAS  Google Scholar 

  • Monks A, Scudiero D, Skehan P, Shoemaker R, Paull K, Vistica D, Hose C, Langley J, Cronise P, Vaigro-Wolff A, Gray-Goodrich M, Campbell H, Mayo J and Boyd M (1991) Feasibility of a high-flux anticancer drug screen using a diverse panel of cultured human tumor cell lines. J Natl Cancer Inst 83: 757–766

    Article  CAS  Google Scholar 

  • Paull KD, Shoemaker RH, Hodes L, Monks A, Scudiero DA, Rubinstein L, Plowman J and Boyd MR (1989) Display and analysis of patterns of differential activity of drugs against human tumor cell lines: development of the mean graph and COMPARE algorithm. J Natl Cancer Inst 81: 1088–1092

    Article  CAS  Google Scholar 

  • Paull KD, Hamel E and Malspeis L (1995) Prediction of biochemical mechanism of action from the in vitro antitumor screen of the National Cancer Institute. In: Cancer Chemotherapeutic Agents, Foye WO (ed) pp. 9–45, Americal Chemical Society: Washington, DC

    Google Scholar 

  • Phillips RM, Pearce J, Loadman PM, Bibby MC, Cooper PA, Swaine DJ and Double JA (1998) Angiogenesis in the hollow fiber tumor model influences drug delivery to tumor cells: implications for anticancer drug screening programs. Cancer Res 58: 5263–5266

    CAS  PubMed  Google Scholar 

  • Plowman J, Dykes DJ, Hollingshead M, Simpson-Herren L and Alley MC (1997) Human tumor xenograft models. In: Anticancer Drug Development Guide: Preclinical Screening, Clinical Trials, and Approval, Teicher B (ed) pp. 101–125, Humana Press: Totowa, NJ

    Chapter  Google Scholar 

  • Sausville EA and Feigal E (1999) Evolving approaches to cancer drug discovery and development at the National Cancer Institute, USA. Annals Oncol 10: 1287–1291

    Article  CAS  Google Scholar 

  • Scholz CC, Berger DP, Winterhalter BR, Henss H and Fiebig HH (1990) Correlation of drug response in patients and in the clonogenic assay with solid human tumour xenografts. Eur J Cancer 26: 901–905

    Article  CAS  Google Scholar 

  • Venditti JM (1981) Preclinical drug development: rationale and methods. Seminars Oncol 8: 349–361

    CAS  Google Scholar 

  • Venditti JM, Wesley RA and Plowman J (1984) Current NCI preclinical antitumor screening in vivo: results of tumor panel screening, 1976–1982, and future directions. Adv Pharmacol Chemother 20: 1–19

    Article  CAS  Google Scholar 

  • Zubrod CG, Schepartz S, Leiter J, Endicott KM, Carrese LM and Baker CG (1966) The chemotherapy program of the National Cancer Institute: history, analysis and plans. Cancer Chemother Rep 50: 349–540

    Google Scholar 

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Authors and Affiliations

  1. Developmental Therapeutics Program, Bethesda, 20892, MD

    J I Johnson, S Decker, D Zaharevitz, M Hollingshead & E A Sausville

  2. Division of Cancer Treatment and Diagnosis, Cancer Therapy Evaluation Program, National Cancer Institute, Bethesda, 20892, MD

    L V Rubinstein, S Kalyandrug, M Christian & S Arbuck

  3. SAIC-Frederick, Frederick, 21701, MD

    J M Venditti & S Schepartz

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  2. S Decker
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From twelve months after its original publication, this work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/

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Johnson, J., Decker, S., Zaharevitz, D. et al. Relationships between drug activity in NCI preclinical in vitro and in vivo models and early clinical trials. Br J Cancer 84, 1424–1431 (2001). https://doi.org/10.1054/bjoc.2001.1796

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  • Received: 10 August 2000

  • Revised: 13 February 2001

  • Accepted: 19 February 2001

  • Published: 15 May 2001

  • Issue date: 18 May 2001

  • DOI: https://doi.org/10.1054/bjoc.2001.1796

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Keywords

  • anticancer drug discovery
  • in vitro-to-in vivo correlations
  • clinical trials

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