Cancer cell-specific oligopeptides selected by an integrated microfluidic system from a phage display library for ovarian cancer diagnosis

Chih Hung Wang, Chen Hsun Weng, Yu Jui Che, Kuan Wang, Gwo Bin Lee

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

Ovarian cancer is one of the leading causes of female mortality worldwide. Unfortunately, there are currently few high-specificity candidate oligopeptide targeting agents that can be used for early diagnosis of this cancer. It has been suggested that cancer-specific oligopeptides could be screened from a phage display library. However, conventional methods are tedious, labor-intensive, and time consuming. Therefore, a novel, integrated microfluidic system was developed to automate the entire screening process for ovarian cancer cell-specific oligopeptides. An oligopeptide screened with microfluidic chip-based technique was demonstrated to have high affinity to ovarian cancer cells and demonstrated relatively low binding to other cancer cells, indicating a high specificity. Furthermore, the developed method consumed relatively low volumes of samples and reagents; only 70 μL of reactant was used within the whole experimental process. Each panning process was also significantly shortened to only 7.5 hours. Therefore, the screened oligopeptide could be used to isolate ovarian cancer cells in a rapid manner, thus greatly expediting the diagnosis and its application as oligopeptide targeting agent for theranostics of this cancer.

Original languageEnglish
Pages (from-to)431-442
Number of pages12
JournalTheranostics
Volume5
Issue number4
DOIs
Publication statusPublished - 2015

All Science Journal Classification (ASJC) codes

  • Medicine (miscellaneous)
  • Pharmacology, Toxicology and Pharmaceutics (miscellaneous)

Fingerprint

Dive into the research topics of 'Cancer cell-specific oligopeptides selected by an integrated microfluidic system from a phage display library for ovarian cancer diagnosis'. Together they form a unique fingerprint.

Cite this