Skip to main content

Part of the book series: Springer Theses ((Springer Theses))

  • 237 Accesses

Abstract

In this chapter, I will describe an application of the proposed platform. Screening of sequential drug combinations will be demonstrated by sequential replacement of the drug chip. PS chips and jig systems developed for robust experiments make it easy to replace the drug chip like LEGO® or inkjet cartridges, and it was the point that partipetting platform is advantageous for this application. Different from other screening technology which needs exponentially increasing number of pipetting as the treatment step increases, only m-step pipetting of DLPs are required for the m-step sequential drug combination treatment.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. S.W. Song et al., One-step generation of a drug-releasing hydrogel microarray-on-a-chip for large-scale sequential drug combination screening. Adv. Sci. 1801380 (2018)

    Google Scholar 

  2. S. Koplev et al., Dynamic rearrangement of cell states detected by systematic screening of sequential anticancer treatments. Cell Rep. 20(12), 2784–2791 (2017)

    Article  Google Scholar 

  3. S. Crystal et al., Patient-derived models of acquired resistance can identify effective drug combinations for cancer. Science 346(6216), 1480–1486 (2014)

    Article  Google Scholar 

  4. M.R. Carstens et al., Drug-eluting microarrays to identify effective chemotherapeutic combinations targeting patient-derived cancer stem cells. Proc. Natl. Acad. Sci. 112(28), 8732–8737 (2015)

    Article  Google Scholar 

  5. D. Miles, G. von Minckwitz, A.D. Seidman, Combination versus sequential single-agent therapy in metastatic breast cancer. Oncologist 7(Supplement 6), 13–19 (2002)

    Google Scholar 

  6. R.F. Dear, M.H. Tattersall, K. McGeechan, A. Barratt, N. Wilcken, in Cochrane Database of Systematic Reviews, ed. by R.F. Dear. Combination versus sequential single agent chemotherapy for metastatic breast cancer (Wiley, UK, Chichester, 2010)

    Google Scholar 

  7. F. Cardoso et al., International guidelines for management of metastatic breast cancer: combination vs. sequential single-agent chemotherapy. JNCI J. Natl. Cancer Inst. 101(17), 1174–1181 (2009)

    Article  Google Scholar 

  8. Goldman et al., Temporally sequenced anticancer drugs overcome adaptive resistance by targeting a vulnerable chemotherapy-induced phenotypic transition. Nat. Commun. 6, 6139 (2015)

    Article  Google Scholar 

  9. K.M. Eck et al., A sequential treatment regimen with melatonin and all-trans retinoic acid induces apoptosis in MCF-7 tumour cells. Br. J. Cancer 77(12), 2129 (1998)

    Article  Google Scholar 

  10. M. Motwani, T.M. Delohery, G.K. Schwartz, Sequential dependent enhancement of caspase activation and apoptosis by flavopiridol on paclitaxel-treated human gastric and breast cancer cells. Clin. Cancer Res. 5(7), 1876–1883 (1999)

    Google Scholar 

  11. J. Heo et al., Sequential therapy with JX-594, a targeted oncolytic poxvirus, followed by sorafenib in hepatocellular carcinoma: preclinical and clinical demonstration of combination efficacy. Mol. Ther. 19(6), 1170–1179 (2011)

    Article  Google Scholar 

  12. Z. Dudek, J. Zolnierek, A. Dham, B.R. Lindgren, C. Szczylik, Sequential therapy with sorafenib and sunitinib in renal cell carcinoma. Cancer 115(1), 61–67 (2009)

    Article  Google Scholar 

  13. M.J. Lee et al., Sequential application of anticancer drugs enhances cell death by rewiring apoptotic signaling networks. Cell 149(4), 780–794 (2012)

    Article  Google Scholar 

  14. R.F. Dear, K. McGeechan, M.C. Jenkins, A. Barratt, M.H. Tattersall, N. Wilcken, Combination versus sequential single agent chemotherapy for metastatic breast cancer. Cochrane Database Syst. Rev. (12)

    Google Scholar 

  15. B. Al-Lazikani, U. Banerji, P. Workman, Combinatorial drug therapy for cancer in the post-genomic era. Nat. Biotechnol. 30(7), 679–692 (2012)

    Article  Google Scholar 

  16. H.-H. Wong et al., Drug screening of cancer cell lines and human primary tumors using droplet microfluidics. Sci. Rep. (2017)

    Google Scholar 

  17. M.R. Carstens et al., Drug-eluting microarrays to identify effective chemotherapeutic combinations targeting patient-derived cancer stem cells. Proc. Natl. Acad. Sci. U. S. A. 112(28), 8732–8737 (2015)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Seo Woo Song .

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Song, S.W. (2019). Application: Screening of Sequential Drug Combinations. In: One-Step Generation of a Drug-Releasing Microarray for High-Throughput Small-Volume Bioassays. Springer Theses. Springer, Singapore. https://doi.org/10.1007/978-981-13-8094-5_3

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-8094-5_3

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-8093-8

  • Online ISBN: 978-981-13-8094-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics