Predicting anti-PD-1 responders in malignant melanoma from the frequency of S100A9+ monocytes in the blood. Issue 5 (7th May 2021)

• Record Type: Journal Article
• Authors: Rad Pour, Soudabeh; Pico de Coaña, Yago; Demorentin, Xavier Martinez; Melief, Jeroen; Thimma, Manjula; Wolodarski, Maria; Gomez-Cabrero, David; Hansson, Johan; Kiessling, Rolf; Tegner, Jesper
• Is Part Of: Journal for immunotherapy of cancer. Volume 9:Issue 5(2021)
• Publication Date: 2021-05-07
• Subjects: CD4-CD8 ratio -- gene expression profiling -- immunotherapy -- active -- therapies -- investigational -- programmed cell death 1 receptor; Cancer -- Immunotherapy -- Periodicals; Cancer -- Immunological aspects -- Periodicals; Tumors -- Immunological aspects -- Periodicals; Immunotherapy -- Periodicals; 616.99406105
• DOI: 10.1136/jitc-2020-002171
• Languages: English
• ISSNs: 2051-1426

Abstract

Abstract : Background: While programmed cell death receptor 1 (PD-1) blockade treatment has revolutionized treatment of patients with melanoma, clinical outcomes are highly variable, and only a fraction of patients show durable responses. Therefore, there is a clear need for predictive biomarkers to select patients who will benefit from the treatment. Method: To identify potential predictive markers for response to PD-1 checkpoint blockade immunotherapy, we conducted single-cell RNA sequencing analyses of peripheral blood mononuclear cells (PBMC) (n=8), as well as an in-depth immune monitoring study (n=20) by flow cytometry in patients with advanced melanoma undergoing treatment with nivolumab at Karolinska University Hospital. Blood samples were collected before the start of treatment and at the time of the second dose. Results: Unbiased single-cell RNA sequencing of PBMC in patients with melanoma uncovered that a higher frequency of monocytes and a lower ratio of CD4+ T cells to monocyte were inversely associated with overall survival. Similarly, S100A9 expression in the monocytic subset was correlated inversely with overall survival. These results were confirmed by a flow cytometry-based analysis in an independent patient cohort. Conclusion: Our results suggest that monocytic cell populations can critically determine the outcome of PD-1 blockade, particularly the subset expressing S100A9, which should be further explored as a possible predictive biomarker. Detailed knowledge of the biological role of S100A9+ monocytes is of high translational relevance.