Usefulness of the nCounter Analysis System to Monitor Immune-related Biomarkers in PBMCs During Anti-PD-1 Therapy.


Journal

Anticancer research
ISSN: 1791-7530
Titre abrégé: Anticancer Res
Pays: Greece
ID NLM: 8102988

Informations de publication

Date de publication:
Aug 2019
Historique:
received: 29 05 2019
revised: 24 06 2019
accepted: 25 06 2019
entrez: 2 8 2019
pubmed: 2 8 2019
medline: 7 8 2019
Statut: ppublish

Résumé

Immune checkpoint inhibitors (ICIs) have dramatically changed the clinical outcomes of advanced tumours. However, biomarkers for monitoring immunological features during immunotherapy remain unclear, especially those in the peripheral blood, which are easily available. This study evaluated the usefulness of nCounter Analysis System in identifying immunological biomarkers in peripheral blood mononuclear cells (PBMCs) during ICI therapy. PBMCs from two patients who responded well to ICI therapy were used, and the expression levels of immune-related mRNA and extracellular proteins were analyzed. Changes in the expression levels of 55 genes from pre-treatment to on-treatment were bioinformatically similar between the two cases. The expression levels of PD-1 were consistent with those by flow cytometry analysis, a reliable tool for monitoring various markers. The nCounter Analysis System may be a potent tool to simultaneously investigate genes and proteins on PBMCs as biomarkers during immunotherapy using a small amount of sample.

Sections du résumé

BACKGROUND/AIM OBJECTIVE
Immune checkpoint inhibitors (ICIs) have dramatically changed the clinical outcomes of advanced tumours. However, biomarkers for monitoring immunological features during immunotherapy remain unclear, especially those in the peripheral blood, which are easily available. This study evaluated the usefulness of nCounter Analysis System in identifying immunological biomarkers in peripheral blood mononuclear cells (PBMCs) during ICI therapy.
PATIENTS AND METHODS METHODS
PBMCs from two patients who responded well to ICI therapy were used, and the expression levels of immune-related mRNA and extracellular proteins were analyzed.
RESULTS RESULTS
Changes in the expression levels of 55 genes from pre-treatment to on-treatment were bioinformatically similar between the two cases. The expression levels of PD-1 were consistent with those by flow cytometry analysis, a reliable tool for monitoring various markers.
CONCLUSION CONCLUSIONS
The nCounter Analysis System may be a potent tool to simultaneously investigate genes and proteins on PBMCs as biomarkers during immunotherapy using a small amount of sample.

Identifiants

pubmed: 31366554
pii: 39/8/4517
doi: 10.21873/anticanres.13628
doi:

Substances chimiques

Biomarkers, Tumor 0
Neoplasm Proteins 0
RNA, Messenger 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

4517-4523

Informations de copyright

Copyright© 2019, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Auteurs

Takafumi Morisaki (T)

Department of Surgery and Oncology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Fukuoka General Cancer Clinic, Fukuoka, Japan.

Makoto Kubo (M)

Department of Surgery and Oncology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan mkubo@surg1.med.kyushu-u.ac.jp.
Fukuoka General Cancer Clinic, Fukuoka, Japan.

Masayo Umebayashi (M)

Fukuoka General Cancer Clinic, Fukuoka, Japan.

Yuan Yuan (Y)

Genetic Analysis Department, RIKEN GENESIS CO., LTD, Tokyo, Japan.

Akihiro Tsuyada (A)

Genetic Analysis Department, RIKEN GENESIS CO., LTD, Tokyo, Japan.

Hiroto Tanaka (H)

Fukuoka General Cancer Clinic, Fukuoka, Japan.

Norihiro Koya (N)

Fukuoka General Cancer Clinic, Fukuoka, Japan.

Shinichirou Nakagawa (S)

Fukuoka General Cancer Clinic, Fukuoka, Japan.

Takashi Morisaki (T)

Fukuoka General Cancer Clinic, Fukuoka, Japan.

Masafumi Nakamura (M)

Department of Surgery and Oncology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

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Classifications MeSH