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Optimization of prostate cancer cell detection using multiplex tyramide signal amplification
Author(s) -
Roy Sounak,
Axelrod Haley D.,
Valkenburg Kenneth C.,
Amend Sarah,
Pienta Kenneth J.
Publication year - 2019
Publication title -
journal of cellular biochemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.028
H-Index - 165
eISSN - 1097-4644
pISSN - 0730-2312
DOI - 10.1002/jcb.28016
Subject(s) - pathology , prostate cancer , immunohistochemistry , immunofluorescence , immunostaining , cancer , medicine , multiplex , metastasis , antibody , primary and secondary antibodies , cancer research , biology , immunology , bioinformatics
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.