Literature DB >> 25689511

Mechanism-independent optimization of combinatorial nanodiamond and unmodified drug delivery using a phenotypically driven platform technology.

Hann Wang1, Dong-Keun Lee1, Kai-Yu Chen1, Jing-Yao Chen1, Kangyi Zhang1, Aleidy Silva1, Chih-Ming Ho1, Dean Ho1.   

Abstract

Combination chemotherapy can mediate drug synergy to improve treatment efficacy against a broad spectrum of cancers. However, conventional multidrug regimens are often additively determined, which have long been believed to enable good cancer-killing efficiency but are insufficient to address the nonlinearity in dosing. Despite improved clinical outcomes by combination treatment, multi-objective combination optimization, which takes into account tumor heterogeneity and balance of efficacy and toxicity, remains challenging given the sheer magnitude of the combinatorial dosing space. To enhance the properties of the therapeutic agents, the field of nanomedicine has realized novel drug delivery platforms that can enhance therapeutic efficacy and safety. However, optimal combination design that incorporates nanomedicine agents still faces the same hurdles as unmodified drug administration. The work reported here applied a powerful phenotypically driven platform, termed feedback system control (FSC), that systematically and rapidly converges upon a combination consisting of three nanodiamond-modified drugs and one unmodified drug that is simultaneously optimized for efficacy against multiple breast cancer cell lines and safety against multiple control cell lines. Specifically, the therapeutic window achieved from an optimally efficacious and safe nanomedicine combination was markedly higher compared to that of an optimized unmodified drug combination and nanodiamond monotherapy or unmodified drug administration. The phenotypically driven foundation of FSC implementation does not require any cellular signaling pathway data and innately accounts for population heterogeneity and nonlinear biological processes. Therefore, FSC is a broadly applicable platform for both nanotechnology-modified and unmodified therapeutic optimizations that represent a promising path toward phenotypic personalized medicine.

Entities:  

Keywords:  biocompatibility; breast cancer; drug delivery; nanodiamond; nanomedicine; optimization

Mesh:

Substances:

Year:  2015        PMID: 25689511     DOI: 10.1021/acsnano.5b00638

Source DB:  PubMed          Journal:  ACS Nano        ISSN: 1936-0851            Impact factor:   15.881


  23 in total

1.  Optimization of drug combinations using Feedback System Control.

Authors:  Patrycja Nowak-Sliwinska; Andrea Weiss; Xianting Ding; Paul J Dyson; Hubert van den Bergh; Arjan W Griffioen; Chih-Ming Ho
Journal:  Nat Protoc       Date:  2016-01-14       Impact factor: 13.491

2.  An oncoinformatics study to predict the inhibitory potential of recent FDA-approved anti-cancer drugs against human Polo-like kinase 1 enzyme: a step towards dual-target cancer medication.

Authors:  Syed Mohd Danish Rizvi; Abdulaziz Arif A Alshammari; Waleed Abdullah Almawkaa; Abo Bakr F Ahmed; Ahmed Katamesh; Ahmed Alafnan; Tariq J Almutairi; Rakan F Alshammari
Journal:  3 Biotech       Date:  2019-02-09       Impact factor: 2.406

Review 3.  Enabling Technologies for Personalized and Precision Medicine.

Authors:  Dean Ho; Stephen R Quake; Edward R B McCabe; Wee Joo Chng; Edward K Chow; Xianting Ding; Bruce D Gelb; Geoffrey S Ginsburg; Jason Hassenstab; Chih-Ming Ho; William C Mobley; Garry P Nolan; Steven T Rosen; Patrick Tan; Yun Yen; Ali Zarrinpar
Journal:  Trends Biotechnol       Date:  2020-01-21       Impact factor: 19.536

Review 4.  Accelerating the Translation of Nanomaterials in Biomedicine.

Authors:  Samir Mitragotri; Daniel G Anderson; Xiaoyuan Chen; Edward K Chow; Dean Ho; Alexander V Kabanov; Jeffrey M Karp; Kazunori Kataoka; Chad A Mirkin; Sarah Hurst Petrosko; Jinjun Shi; Molly M Stevens; Shouheng Sun; Sweehin Teoh; Subbu S Venkatraman; Younan Xia; Shutao Wang; Zhen Gu; Chenjie Xu
Journal:  ACS Nano       Date:  2015-06-26       Impact factor: 15.881

5.  Quantitative dose-response curves from subcellular lipid multilayer microarrays.

Authors:  A E Kusi-Appiah; T W Lowry; E M Darrow; K A Wilson; B P Chadwick; M W Davidson; S Lenhert
Journal:  Lab Chip       Date:  2015-08-21       Impact factor: 6.799

Review 6.  Theranostic Nanoparticles for Tracking and Monitoring Disease State.

Authors:  Cristina Zavaleta; Dean Ho; Eun Ji Chung
Journal:  SLAS Technol       Date:  2017-11-08       Impact factor: 3.047

7.  Output-driven feedback system control platform optimizes combinatorial therapy of tuberculosis using a macrophage cell culture model.

Authors:  Aleidy Silva; Bai-Yu Lee; Daniel L Clemens; Theodore Kee; Xianting Ding; Chih-Ming Ho; Marcus A Horwitz
Journal:  Proc Natl Acad Sci U S A       Date:  2016-03-28       Impact factor: 11.205

8.  Clinical validation of a nanodiamond-embedded thermoplastic biomaterial.

Authors:  Dong-Keun Lee; Theodore Kee; Zhangrui Liang; Desiree Hsiou; Darron Miya; Brian Wu; Eiji Osawa; Edward Kai-Hua Chow; Eric C Sung; Mo K Kang; Dean Ho
Journal:  Proc Natl Acad Sci U S A       Date:  2017-10-23       Impact factor: 11.205

Review 9.  Nanodiamonds and their potential applications in breast cancer therapy: a narrative review.

Authors:  Kenny Tjo; Pegah Varamini
Journal:  Drug Deliv Transl Res       Date:  2021-05-10       Impact factor: 4.617

Review 10.  Enhancing Clinical Translation of Cancer Using Nanoinformatics.

Authors:  Madjid Soltani; Farshad Moradi Kashkooli; Mohammad Souri; Samaneh Zare Harofte; Tina Harati; Atefeh Khadem; Mohammad Haeri Pour; Kaamran Raahemifar
Journal:  Cancers (Basel)       Date:  2021-05-19       Impact factor: 6.639

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.