Literature DB >> 24329193

Application of genotype-guided cancer therapy in solid tumors.

Jai N Patel1.   

Abstract

Given the interpatient biological heterogeneity and narrow therapeutic index of anticancer drugs, a practical method for personalizing cancer therapy is essential. Genotype-guided cancer therapy will provide an optimal approach to normalize systemic drug exposures, predict drug toxicities and/or enrich clinical efficacy. To date, over a dozen anticancer drugs approved by the US FDA require labeling regarding pharmacogenetic biomarkers (both germline and somatic). Many, but not all, have prospective, genotype-guided evidence-based data. Optimizing output from retrospective, prospective, cost-effectiveness and adaptive biomarker driven clinical trials will help drive the success of personalized cancer therapy. This review will discuss prospective genotype-guided clinical trials in patients with solid tumors and address barriers in clinical translation.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 24329193     DOI: 10.2217/pgs.13.227

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  7 in total

1.  Subset analysis of safety and efficacy in asian patients treated with RRx-001 across three clinical trials.

Authors:  Xiaoning Guo; Xiaohui Wang; Sui Shen; Bryan Oronsky; Tony R Reid; Meaghan Stirn; Scott Caroen; Franck Brinkhaus; Nacer A Abrouk; Liandai Yang; Lianzong Wu; Zhongwen Yu
Journal:  Am J Cancer Res       Date:  2022-09-15       Impact factor: 5.942

Review 2.  Cancer pharmacogenomics, challenges in implementation, and patient-focused perspectives.

Authors:  Jai N Patel
Journal:  Pharmgenomics Pers Med       Date:  2016-07-12

Review 3.  Reverse Translation of US Food and Drug Administration Reviews of Oncology New Molecular Entities Approved in 2011-2017: Lessons Learned for Anticancer Drug Development.

Authors:  Stephanie Faucette; Santosh Wagh; Ashit Trivedi; Karthik Venkatakrishnan; Neeraj Gupta
Journal:  Clin Transl Sci       Date:  2017-12-19       Impact factor: 4.689

Review 4.  Biomarkers in Colorectal Cancer: Current Research and Future Prospects.

Authors:  Olorunseun O Ogunwobi; Fahad Mahmood; Akinfemi Akingboye
Journal:  Int J Mol Sci       Date:  2020-07-27       Impact factor: 5.923

5.  Role of salt‑inducible kinase 2 in the malignant behavior and glycolysis of colorectal cancer cells.

Authors:  Xiaohong Ni; Yongjiang Feng; Xiangwei Fu
Journal:  Mol Med Rep       Date:  2021-09-24       Impact factor: 2.952

Review 6.  Colorectal Cancer Biomarkers in the Era of Personalized Medicine.

Authors:  Jai N Patel; Mei Ka Fong; Megan Jagosky
Journal:  J Pers Med       Date:  2019-01-14

7.  Pharmacogenomic-based personalized medicine: Multistakeholder perspectives on implementational drivers and barriers in the Canadian healthcare system.

Authors:  Mathushan Subasri; David Barrett; Jovana Sibalija; Lisa Bitacola; Richard B Kim
Journal:  Clin Transl Sci       Date:  2021-07-16       Impact factor: 4.689

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.