Literature DB >> 32822525

A batch-effect adjusted Simon's two-stage design for cancer vaccine clinical studies.

Chenguang Wang1, Zhixin Wang2, Gary L Rosner1, Warner K Huh2, Richard B S Roden1, Sejong Bae2.   

Abstract

In the development of cancer treatment vaccines, phase II clinical studies are conducted to examine the efficacy of a vaccine in order to screen out vaccines with minimal activity. Immune responses are commonly used as the primary endpoint for assessing vaccine efficacy. With respect to study design, Simon's two-stage design is a popular format for phase II cancer clinical studies because of its simplicity and ethical considerations. Nonetheless, it is not straightforward to apply Simon's two-stage design to cancer vaccine studies when performing immune assays in batches, as outcomes from multiple patients may be correlated with each other in the presence of batch effects. This violates the independence assumption of Simon's two-stage design. In this paper, we numerically explore the impact of batch effects on Simon's two-stage design, propose a batch-effect adjusted Simon's two-stage design, demonstrate the proposed design by both a simulation study and a therapeutic human papillomavirus vaccine trial, and briefly introduce a software that implements the proposed design.
© 2020 The International Biometric Society.

Entities:  

Keywords:  Simon's two-stage design; batch effect; cancer vaccine; clinical trial design; phase II study

Mesh:

Substances:

Year:  2020        PMID: 32822525      PMCID: PMC8713137          DOI: 10.1111/biom.13358

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  26 in total

1.  Singular value decomposition for genome-wide expression data processing and modeling.

Authors:  O Alter; P O Brown; D Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  2000-08-29       Impact factor: 11.205

2.  Adjustment of systematic microarray data biases.

Authors:  Monica Benito; Joel Parker; Quan Du; Junyuan Wu; Dong Xiang; Charles M Perou; J S Marron
Journal:  Bioinformatics       Date:  2004-01-01       Impact factor: 6.937

Review 3.  Cancer immunology.

Authors:  Olivera J Finn
Journal:  N Engl J Med       Date:  2008-06-19       Impact factor: 91.245

4.  Vocabulary for use in measurement procedures and description of reference materials in laboratory medicine.

Authors:  R Dybkaer
Journal:  Eur J Clin Chem Clin Biochem       Date:  1997-02

5.  BOP2: Bayesian optimal design for phase II clinical trials with simple and complex endpoints.

Authors:  Heng Zhou; J Jack Lee; Ying Yuan
Journal:  Stat Med       Date:  2017-06-07       Impact factor: 2.373

6.  Optimal two-stage designs for phase II clinical trials.

Authors:  R Simon
Journal:  Control Clin Trials       Date:  1989-03

7.  Multiparameter intracellular cytokine staining.

Authors:  Patricia Lovelace; Holden T Maecker
Journal:  Methods Mol Biol       Date:  2011

8.  "MIATA"-minimal information about T cell assays.

Authors:  Sylvia Janetzki; Cedrik M Britten; Michael Kalos; Hyam I Levitsky; Holden T Maecker; Cornelius J M Melief; Lloyd J Old; Pedro Romero; Axel Hoos; Mark M Davis
Journal:  Immunity       Date:  2009-10-16       Impact factor: 31.745

9.  Sequential cisplatin therapy and vaccination with HPV16 E6E7L2 fusion protein in saponin adjuvant GPI-0100 for the treatment of a model HPV16+ cancer.

Authors:  Shiwen Peng; Joshua W Wang; Balasubramanyam Karanam; Chenguang Wang; Warner K Huh; Ronald D Alvarez; Sara I Pai; Chien-fu Hung; T-C Wu; Richard B S Roden
Journal:  PLoS One       Date:  2015-01-05       Impact factor: 3.240

Review 10.  Measuring Cellular Immunity to Influenza: Methods of Detection, Applications and Challenges.

Authors:  Lynda Coughlan; Teresa Lambe
Journal:  Vaccines (Basel)       Date:  2015-04-14
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.