Optimization of prostate cancer cell detection using multiplex tyramide signal amplification

Sounak Roy, Haley D. Axelrod, Kenneth C. Valkenburg, Sarah Amend, Kenneth J. Pienta

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Approximately 29 000 men die of prostate cancer (PCa) each year in the United States, and 90% to 100% of them are due to incurable bone metastasis. It is difficult to determine (1) when PCa disseminates in the natural history of the disease; (2) where cancer cell disseminates before becoming overt metastatic lesions; and (3) which tumors are aggressive and which are indolent. Tumor tissue and liquid (blood and bone marrow) biopsies provide important information to answer these questions, but significant limitations exist for immunostaining strategies that assess protein expression in these tissues. Classic immunohistochemistry (IHC) assays can typically assess expression of one or two proteins per tissue section. We have developed a novel immunofluorescence staining protocol to detect a panel of seven proteins on PCa tissue from primary tumor biopsies and metastatic lesion autopsy tissue, as well as cancer cells from liquid biopsies. We used a tyramide-based system to amplify the true signal and optimized the protocol to reduce background signal, thereby boosting the signal-to-noise ratio. Any protein-specific antibody in this protocol can be exchanged for a different validated antibody. This protocol therefore, represents a highly informative and flexible assay that can be used to provide important information about cancer tissue for the purpose of improving detection, diagnosis, and treatment.

Original languageEnglish (US)
Pages (from-to)4804-4812
Number of pages9
JournalJournal of cellular biochemistry
Volume120
Issue number4
DOIs
StatePublished - Apr 2019

Keywords

  • detection
  • immunofluorescence
  • metastasis
  • prostate cancer
  • tumor microarray
  • tyramide

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology
  • Cell Biology

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