Literature DB >> 21224374

Biology, models, and the analysis of tumor xenograft experiments.

Daniel F Heitjan1.   

Abstract

Advances in statistical modeling and analysis technology have improved our ability to derive valid inferences from tumor xenograft experiments. Further challenges in this area include the modeling of intertumor heterogeneity and the development of robust statistical models that describe key parameters in the underlying tumor biology. ©2011 AACR.

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Year:  2011        PMID: 21224374      PMCID: PMC3079203          DOI: 10.1158/1078-0432.CCR-10-3279

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  7 in total

1.  A note on robust variance estimation for cluster-correlated data.

Authors:  R L Williams
Journal:  Biometrics       Date:  2000-06       Impact factor: 2.571

2.  Nonlinear mixed effects models for repeated measures data.

Authors:  M L Lindstrom; D M Bates
Journal:  Biometrics       Date:  1990-09       Impact factor: 2.571

3.  The multi-site tumour transplantation model for human endometrial carcinoma: a statistical evaluation.

Authors:  D F Heitjan; J A Derr; P G Satyaswaroop
Journal:  Cell Prolif       Date:  1992-05       Impact factor: 6.831

4.  Statistical analysis of in vivo tumor growth experiments.

Authors:  D F Heitjan; A Manni; R J Santen
Journal:  Cancer Res       Date:  1993-12-15       Impact factor: 12.701

5.  Bayesian hierarchical changepoint methods in modeling the tumor growth profiles in xenograft experiments.

Authors:  Lili Zhao; Meredith A Morgan; Leslie A Parsels; Jonathan Maybaum; Theodore S Lawrence; Daniel Normolle
Journal:  Clin Cancer Res       Date:  2010-12-03       Impact factor: 12.531

6.  Generalized Norton-Simon models of tumour growth.

Authors:  D F Heitjan
Journal:  Stat Med       Date:  1991-07       Impact factor: 2.373

7.  Transforming growth factor-beta receptor blockade augments the effectiveness of adoptive T-cell therapy of established solid cancers.

Authors:  Africa Wallace; Veena Kapoor; Jing Sun; Paul Mrass; Wolfgang Weninger; Daniel F Heitjan; Carl June; Larry R Kaiser; Leona E Ling; Steven M Albelda
Journal:  Clin Cancer Res       Date:  2008-06-15       Impact factor: 12.531

  7 in total
  3 in total

1.  Reporting of preclinical tumor-graft cancer therapeutic studies.

Authors:  Elizabeth Sugar; Adam J Pascoe; Nilofer Azad
Journal:  Cancer Biol Ther       Date:  2012-08-16       Impact factor: 4.742

2.  Dynamic treatment effect (DTE) curves reveal the mode of action for standard and experimental cancer therapies.

Authors:  Kingshuk Roy Choudhury; Stephen T Keir; Kathleen A Ashcraft; Mary-Keara Boss; Mark W Dewhirst
Journal:  Oncotarget       Date:  2015-06-10

3.  Statistical analysis of comparative tumor growth repeated measures experiments in the ovarian cancer patient derived xenograft (PDX) setting.

Authors:  Ann L Oberg; Ethan P Heinzen; Xiaonan Hou; Mariam M Al Hilli; Rachel M Hurley; Andrea E Wahner Hendrickson; Krista M Goergen; Melissa C Larson; Marc A Becker; Jeanette E Eckel-Passow; Matthew J Maurer; Scott H Kaufmann; Paul Haluska; S John Weroha
Journal:  Sci Rep       Date:  2021-04-13       Impact factor: 4.379

  3 in total

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