Literature DB >> 31467642

Incorporating biomarkers to improve statistical power of immunotherapeutic neoadjuvant clinical trials in patients with triple-negative breast cancer.

Feng Gao1,2, Guoqiao Wang2, Jingqin Luo1,2, Jingxia Liu1,2, Ling Chen2, Chengjie Xiong2.   

Abstract

Neoadjuvant (preoperative) approach to breast cancer treatment has become widely accepted. Traditionally the primary objective of neoadjuvant treatment is to improve subsequent surgical intervention and the effectiveness are often evaluated by its ability achieving complete pathological response (pCR), the eradication of the malignant disease in the breast and axillary lymph nodes. More recently, neoadjuvant treatment has also become recognized as an in vivo, preoperative 'window of opportunity' to explore the efficacy of novel agents such as immunotherapies where a wealth of tumor biomarkers are also routinely collected to quantify antitumor immunity. However, one challenge to combine the traditional pCR and efficacy biomarkers is that these tumor biomarkers are only partially available and cannot be measured in patients who have achieved pCR. In this article, a stepwise hypothesis testing procedure is proposed to combine a continuous tumor biomarker with the conventional binary endpoint in a two-arm randomized phase II superiority trial to improve statistical power. The operating characteristics of proposed procedure is illustrated with a real-world example and the performance is also evaluated numerically.

Entities:  

Keywords:  cancer immunotherapy; immune biomarkers; multiple endpoints; multiple hypotheses; neoadjuvant clinical trials

Year:  2019        PMID: 31467642      PMCID: PMC6714581          DOI: 10.1080/19466315.2018.1518259

Source DB:  PubMed          Journal:  Stat Biopharm Res        ISSN: 1946-6315            Impact factor:   1.452


  21 in total

1.  Alpha calculus in clinical trials: considerations and commentary for the new millennium.

Authors:  L A Moyé
Journal:  Stat Med       Date:  2000-03-30       Impact factor: 2.373

2.  Gatekeeping strategies for clinical trials that do not require all primary effects to be significant.

Authors:  Alexei Dmitrienko; Walter W Offen; Peter H Westfall
Journal:  Stat Med       Date:  2003-08-15       Impact factor: 2.373

3.  Sample size determination in clinical trials with multiple co-primary binary endpoints.

Authors:  Takashi Sozu; Tomoyuki Sugimoto; Toshimitsu Hamasaki
Journal:  Stat Med       Date:  2010-09-20       Impact factor: 2.373

4.  Gatekeeping procedures with clinical trial applications.

Authors:  Alex Dmitrienko; Ajit C Tamhane
Journal:  Pharm Stat       Date:  2007 Jul-Sep       Impact factor: 1.894

5.  A graphical approach to sequentially rejective multiple test procedures.

Authors:  Frank Bretz; Willi Maurer; Werner Brannath; Martin Posch
Journal:  Stat Med       Date:  2009-02-15       Impact factor: 2.373

6.  Gatekeeping testing via adaptive alpha allocation.

Authors:  Jianjun' David ' Li; Devan V Mehrotra
Journal:  Biom J       Date:  2008-10       Impact factor: 2.207

7.  An efficient method for accommodating potentially underpowered primary endpoints.

Authors:  Jianjun Li; Devan V Mehrotra
Journal:  Stat Med       Date:  2008-11-20       Impact factor: 2.373

8.  Estrogen-receptor status and outcomes of modern chemotherapy for patients with node-positive breast cancer.

Authors:  Donald A Berry; Constance Cirrincione; I Craig Henderson; Marc L Citron; Daniel R Budman; Lori J Goldstein; Silvana Martino; Edith A Perez; Hyman B Muss; Larry Norton; Clifford Hudis; Eric P Winer
Journal:  JAMA       Date:  2006-04-12       Impact factor: 56.272

9.  Power and sample size for clinical trials when efficacy is required in multiple endpoints: application to an Alzheimer's treatment trial.

Authors:  Chengjie Xiong; Kai Yu; Feng Gao; Yan Yan; Zhengjun Zhang
Journal:  Clin Trials       Date:  2005       Impact factor: 2.486

10.  Response to neoadjuvant therapy and long-term survival in patients with triple-negative breast cancer.

Authors:  Cornelia Liedtke; Chafika Mazouni; Kenneth R Hess; Fabrice André; Attila Tordai; Jaime A Mejia; W Fraser Symmans; Ana M Gonzalez-Angulo; Bryan Hennessy; Marjorie Green; Massimo Cristofanilli; Gabriel N Hortobagyi; Lajos Pusztai
Journal:  J Clin Oncol       Date:  2008-02-04       Impact factor: 44.544

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