Literature DB >> 35499199

Prediction of immune checkpoint blockade-related hepatitis in metastatic melanoma patients.

Hannah-Lou Schilling1, James A Hutchinson1, Sebastian Haferkamp2.   

Abstract

The introduction of clinical antibodies against programmed death-1 (PD-1) and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) has revolutionized cancer treatment. Immune checkpoint blockade has enormous therapeutic potential and is widely prescribed for treating various cancers. However, immune-related adverse events in checkpoint blockade-treated patients are common and limit its clinical application. Despite efforts to understand the etiology of immune-related adverse events, the underlying cellular reactions remain elusive. Recently, our group identified a subset of patients with metastatic melanoma that are predisposed to hepatitis after combined PD-1 and CTLA-4 blockade. These patients are characterized by pre-treatment expansion of effector memory CD4+ T cells (TEM cells) in blood. We attributed this expansion to chronic or recurrent subclinical immune responses against cytomegalovirus (CMV) infection. Accordingly, baseline expansion of TEM cells is a reliable biomarker of hepatitis risk that identifies a subgroup of patients who might benefit from prophylactic CMV treatment with valganciclovir.
© 2022 The Authors. Journal der Deutschen Dermatologischen Gesellschaft published by John Wiley & Sons Ltd on behalf of Deutsche Dermatologische Gesellschaft.

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Year:  2022        PMID: 35499199     DOI: 10.1111/ddg.14726

Source DB:  PubMed          Journal:  J Dtsch Dermatol Ges        ISSN: 1610-0379            Impact factor:   5.584


  1 in total

1.  External validation of biomarkers for immune-related adverse events after immune checkpoint inhibition.

Authors:  Gunther Glehr; Paloma Riquelme; Jordi Yang Zhou; Laura Cordero; Hannah-Lou Schilling; Michael Kapinsky; Hans J Schlitt; Edward K Geissler; Ralph Burkhardt; Barbara Schmidt; Sebastian Haferkamp; James A Hutchinson; Katharina Kronenberg
Journal:  Front Immunol       Date:  2022-09-29       Impact factor: 8.786

  1 in total

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