Quantitative immunohistochemical assay with novel digital immunostaining for comparisons of PD-L1 antibodies.

ELISA digital immunostaining nCounter programmed death ligand-1

Journal

Molecular and clinical oncology
ISSN: 2049-9450
Titre abrégé: Mol Clin Oncol
Pays: England
ID NLM: 101613422

Informations de publication

Date de publication:
Mar 2019
Historique:
received: 13 08 2018
accepted: 09 01 2019
entrez: 9 3 2019
pubmed: 9 3 2019
medline: 9 3 2019
Statut: ppublish

Résumé

One obstacle in diagnostic pathology is the harmonization of one drug-one diagnostic tests for programmed death ligand-1 (PD-L1). There are many challenges in accurate comparisons of diagnostic tests, such as differences in the titer of each antibody, detection system and dynamic range of visualization. Our previously developed digital immunostaining technique is highly sensitive and quantitative with the ability to quantify particles that bind in a one-to-one fashion with antibody in each cell. Determining the differences in the titer of each antibody with digital immunostaining may be beneficial for future harmonized analysis. To demonstrate the accuracy of digital immunostaining, the present study compared the number of particles with ELISA and nCounter data from five cell lines. NCI-H460 exhib-ited the highest level of PD-L1 protein, followed by A549, PC-3, NCI-H1299, and NCI-H446 cells. In addition, the PD-L1 mRNA values determined by nCounter corresponded with the order of the protein levels determined by ELISA. The present study revealed that digital immunostaining for PD-L1 was highly associated with ELISA and nCounter data. Among the four antibodies tested, the titer of all but SP142 coincided with ELISA and nCounter data. These results indicated that our digital immunostaining technique may be beneficial for future harmonized analysis.

Identifiants

pubmed: 30847180
doi: 10.3892/mco.2019.1801
pii: MCO-0-0-1801
pmc: PMC6388504
doi:

Types de publication

Journal Article

Langues

eng

Pagination

391-396

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Auteurs

Takuo Fujisawa (T)

Department of Otolaryngology, Head and Neck Surgery, Kansai Medical University, Osaka 573-1010, Japan.

Koji Tsuta (K)

Department of Pathology and Laboratory Medicine, Kansai Medical University, Osaka 573-1010, Japan.

Hiroaki Yanagimoto (H)

Department of Surgery, Kansai Medical University, Osaka 573-1010, Japan.

Masao Yagi (M)

Department of Otolaryngology, Head and Neck Surgery, Kansai Medical University, Osaka 573-1010, Japan.

Kensuke Suzuki (K)

Department of Otolaryngology, Head and Neck Surgery, Kansai Medical University, Osaka 573-1010, Japan.

Kenji Nishikawa (K)

Bio System Development Group, Bio Advanced Technology Division, Corporate R&D Headquarters, Konica-Minolta, Inc., Tokyo 191-8511, Japan.

Masaru Takahashi (M)

Bio System Development Group, Bio Advanced Technology Division, Corporate R&D Headquarters, Konica-Minolta, Inc., Tokyo 191-8511, Japan.

Hisatake Okada (H)

Bio System Development Group, Bio Advanced Technology Division, Corporate R&D Headquarters, Konica-Minolta, Inc., Tokyo 191-8511, Japan.

Yasushi Nakano (Y)

Bio System Development Group, Bio Advanced Technology Division, Corporate R&D Headquarters, Konica-Minolta, Inc., Tokyo 191-8511, Japan.

Hiroshi Iwai (H)

Department of Otolaryngology, Head and Neck Surgery, Kansai Medical University, Osaka 573-1010, Japan.

Classifications MeSH