Utilizing a GnRH-based chimeric protein for the detection of adenocarcinoma

Michal Lichtenstein, Ahmi Ben-Yehudah, Ruth Belostotsky, Ronen Eaveri, Ofra Sabag, Inna Grodzovski, Haya Lorberboum-Galski*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Since early diagnosis of many types of cancer greatly improves the chances for successful treatment, high-quality methods for cancer detection are necessary. Our laboratory develops chimeric proteins for targeted therapy, such as gonadotropin releasing hormone (GnRH)-based chimeric proteins for the targeted therapy of adenocarcinomas in humans. For chimeric proteins to cause specific cell death, they must first recognize specific receptors/binding sites expressed on the surface of target cells. Thus, we examined whether we could exploit these binding sites not only as targets for the killing of specific cells but also as a diagnostic marker for identifying adenocarcinomas, using the same chimeric proteins. In this report, we show that one such GnRH-based chimeric protein, GnRH-Caspase3, can indeed serve as a diagnostic tool. GnRH-Caspase3 was able to specifically bind adenocarcinoma cells, as measured by FACS analysis and demonstrated with the aid of confocal microscopy and specific antibodies. Moreover, we found a correlation between cell sensitivity to treatment and the binding level of the chimeric protein to the cells. Hence, we suggest that in addition to their therapeutic potential, GnRH-based chimeric proteins can be used as a diagnostic tool for the detection of adenocarcinomas.

Original languageEnglish
Pages (from-to)143-148
Number of pages6
JournalInternational Journal of Oncology
Volume27
Issue number1
DOIs
StatePublished - Jul 2005

Keywords

  • Adenocarcinoma
  • Binding assays
  • Cancer detection
  • Chimeric proteins
  • GnRH-Caspase3

Fingerprint

Dive into the research topics of 'Utilizing a GnRH-based chimeric protein for the detection of adenocarcinoma'. Together they form a unique fingerprint.

Cite this