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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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| Dokumentenart | Artikel | ||||
| Titel eines Journals oder einer Zeitschrift | Frontiers in Immunology | ||||
| Verlag: | Frontiers | ||||
|---|---|---|---|---|---|
| Ort der Veröffentlichung: | LAUSANNE | ||||
| Band: | 2021 | ||||
| Nummer des Zeitschriftenheftes oder des Kapitels: | 12 | ||||
| Seitenbereich: | S. 1-12 | ||||
| Datum | 16 November 2021 | ||||
| Institutionen | Medizin > 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 |
| ||||
| Stichwörter / Keywords | T-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-Klassifikation | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin | ||||
| Status | Veröffentlicht | ||||
| Begutachtet | Ja, diese Version wurde begutachtet | ||||
| An der Universität Regensburg entstanden | Ja | ||||
| Dokumenten-ID | 51539 |
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