PURPOSE OF REVIEW: In this review, we focus on the recent findings and future challenges in cancer treatment with immune checkpoint inhibitors. RECENT FINDINGS: Major progress has been made in recent years as the first immune checkpoint inhibitors are approved by the US Food and Drug Administration for the treatment of cancer patients. Anticytotoxic T-lymphocyte-associated protein 4 and antiprogrammed death protein 1/programmed death-ligand 1 (PD-L1) monoclonal antibodies are being extensively studied in many different tumor types, often showing impressive response rates, but also a typical serious toxicity profile in the form of auto-immunity. Unfortunately, it is not yet possible to prevent or predict these immune-related adverse events. Studies on mutational load, neo-epitopes, lactate dehydrogenase, PD-L1 expression, and T-cell infiltration suggest that these markers are correlating with efficacy, but have not yet reached the status of a validated biomarker for checkpoint inhibitors. Other immune checkpoints are being investigated and new checkpoint inhibitors are on the brink of being evaluated in clinical trials. SUMMARY: The main challenge for the near future will be to predict efficacy of immune checkpoint blockade and to predict and prevent immune-related adverse events. More research should be done in order to find potential biomarkers that predict treatment response and/or toxicity; the optimal administration route, dosage, and frequency; and possible combinations of therapies that have an added or synergetic effect.
PURPOSE OF REVIEW: In this review, we focus on the recent findings and future challenges in cancer treatment with immune checkpoint inhibitors. RECENT FINDINGS: Major progress has been made in recent years as the first immune checkpoint inhibitors are approved by the US Food and Drug Administration for the treatment of cancerpatients. Anticytotoxic T-lymphocyte-associated protein 4 and antiprogrammed death protein 1/programmed death-ligand 1 (PD-L1) monoclonal antibodies are being extensively studied in many different tumor types, often showing impressive response rates, but also a typical serious toxicity profile in the form of auto-immunity. Unfortunately, it is not yet possible to prevent or predict these immune-related adverse events. Studies on mutational load, neo-epitopes, lactate dehydrogenase, PD-L1 expression, and T-cell infiltration suggest that these markers are correlating with efficacy, but have not yet reached the status of a validated biomarker for checkpoint inhibitors. Other immune checkpoints are being investigated and new checkpoint inhibitors are on the brink of being evaluated in clinical trials. SUMMARY: The main challenge for the near future will be to predict efficacy of immune checkpoint blockade and to predict and prevent immune-related adverse events. More research should be done in order to find potential biomarkers that predict treatment response and/or toxicity; the optimal administration route, dosage, and frequency; and possible combinations of therapies that have an added or synergetic effect.
Authors: Anna E Kersh; Spencer Ng; Yun Min Chang; Maiko Sasaki; Susan N Thomas; Haydn T Kissick; Gregory B Lesinski; Ragini R Kudchadkar; Edmund K Waller; Brian P Pollack Journal: J Clin Pharmacol Date: 2017-11-14 Impact factor: 3.126
Authors: Michael S Hughes; Hui Zheng; Leyre Zubiri; Gabriel E Molina; Steven T Chen; Meghan J Mooradian; Ian M Allen; Kerry L Reynolds; Michael Dougan Journal: Cancer Med Date: 2019-07-09 Impact factor: 4.452
Authors: Sacha Gnjatic; Vincenzo Bronte; Laura Rosa Brunet; Marcus O Butler; Mary L Disis; Jérôme Galon; Leif G Hakansson; Brent A Hanks; Vaios Karanikas; Samir N Khleif; John M Kirkwood; Lance D Miller; Dolores J Schendel; Isabelle Tanneau; Jon M Wigginton; Lisa H Butterfield Journal: J Immunother Cancer Date: 2017-05-16 Impact factor: 13.751
Authors: Gilberto Filaci; Daniela Fenoglio; Lucia Taramasso; Francesco Indiveri; Antonio Di Biagio Journal: Front Immunol Date: 2018-10-23 Impact factor: 7.561