Direkt zum Inhalt

Schilling, Hannah-Lou ; Glehr, Gunther ; Kapinsky, Michael ; Ahrens, Norbert ; Riquelme, Paloma ; Cordero, Laura ; Bitterer, Florian ; Schlitt, Hans J. ; Geissler, Edward K. ; Haferkamp, Sebastian ; Hutchinson, James A. ; Kronenberg, Katharina

Development of a Flow Cytometry Assay to Predict Immune Checkpoint Blockade-Related Complications

Schilling, Hannah-Lou, Glehr, Gunther , Kapinsky, Michael, Ahrens, Norbert , Riquelme, Paloma , Cordero, Laura, Bitterer, Florian, Schlitt, Hans J. , Geissler, Edward K. , Haferkamp, Sebastian, Hutchinson, James A. und Kronenberg, Katharina (2021) Development of a Flow Cytometry Assay to Predict Immune Checkpoint Blockade-Related Complications. Frontiers in Immunology 2021 (12), S. 1-12.

Veröffentlichungsdatum dieses Volltextes: 27 Jan 2022 16:57
Artikel
DOI zum Zitieren dieses Dokuments: 10.5283/epub.51539


Zusammenfassung

Treatment of advanced melanoma with combined immune checkpoint inhibitor (ICI) therapy is complicated in up to 50% of cases by immune-related adverse events (irAE) that commonly include hepatitis, colitis and skin reactions. We previously reported that pre-therapy expansion of cytomegalovirus (CMV)-reactive CD4(+) effector memory T cells (T-EM) predicts ICI-related hepatitis in a subset of ...

Treatment of advanced melanoma with combined immune checkpoint inhibitor (ICI) therapy is complicated in up to 50% of cases by immune-related adverse events (irAE) that commonly include hepatitis, colitis and skin reactions. We previously reported that pre-therapy expansion of cytomegalovirus (CMV)-reactive CD4(+) effector memory T cells (T-EM) predicts ICI-related hepatitis in a subset of patients with Stage IV melanoma given alpha PD-1 and alpha CTLA-4. Here, we develop and validate a 10-color flow cytometry panel for reliably quantifying CD4(+) T-EM cells and other biomarkers of irAE risk in peripheral blood samples. Compared to previous methods, our new panel performs equally well in measuring CD4(+) T-EM cells (agreement = 98%) and is superior in resolving CD4(+) CD197(+) CD45RA(-) central memory T cells (T-CM) from CD4(+) CD197(+) CD45RA(+) naive T cells (T-naive). It also enables us to precisely quantify CD14(+) monocytes (CV = 6.6%). Our new "monocyte and T cell" (MoT) assay predicts immune-related hepatitis with a positive predictive value (PPV) of 83% and negative predictive value (NPV) of 80%. Our essential improvements open the possibility of sharing our predictive methods with other clinical centers. Furthermore, condensing measurements of monocyte and memory T cell subsets into a single assay simplifies our workflows and facilitates computational analyses.



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Details

DokumentenartArtikel
Titel eines Journals oder einer ZeitschriftFrontiers in Immunology
Verlag:Frontiers
Ort der Veröffentlichung:LAUSANNE
Band:2021
Nummer des Zeitschriftenheftes oder des Kapitels:12
Seitenbereich:S. 1-12
Datum16 November 2021
InstitutionenMedizin > Lehrstuhl für Chirurgie
Medizin > Lehrstuhl für Dermatologie und Venerologie
Medizin > Lehrstuhl für Klinische Chemie und Laboratoriumsmedizin
Medizin > Institut für Funktionelle Genomik > Lehrstuhl für Statistische Bioinformatik (Prof. Spang)
Informatik und Data Science > Fachbereich Bioinformatik > Lehrstuhl für Statistische Bioinformatik (Prof. Spang)
Identifikationsnummer
WertTyp
10.3389/fimmu.2021.765644DOI
Stichwörter / KeywordsT-CELLS; COMBINED NIVOLUMAB; ADVERSE EVENTS; IPILIMUMAB; MELANOMA; VALIDATION; SURVIVAL; flow cytometry; assay validation; immune checkpoint inhibition; immune-related adverse events; prediction; effector memory T cells; monocytes; biomarker
Dewey-Dezimal-Klassifikation600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin
StatusVeröffentlicht
BegutachtetJa, diese Version wurde begutachtet
An der Universität Regensburg entstandenJa
Dokumenten-ID51539

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