Literature DB >> 33137405

Blood-based PD-L1 analysis in tumor-derived extracellular vesicles: Applications for optimal use of anti-PD-1/PD-L1 axis inhibitors.

Marzia Del Re1, Ron H N van Schaik2, Stefano Fogli1, Ron H J Mathijssen3, Federico Cucchiara1, Annalisa Capuano4, Cristina Scavone4, Guido W Jenster5, Romano Danesi6.   

Abstract

Monoclonal antibodies that inhibit the programmed cell death protein 1 axis (anti-PD-1/PD-L1) are part of a new pharmacological strategy aimed at reinforcing the immune response to cancer. Despite the success in several cancer types, a significant percentage of patients do not benefit from treatment with these drugs due to intrinsic or acquired resistance or the occurrence of immune-related adverse reactions. Assessment of PD-L1 expression in tumor tissues is currently used to predict drug response in the clinics; however, there is a growing interest in identifying blood-based biomarkers that, owing to the minimally-invasive nature, can allow a dynamic monitoring of drug response in daily clinical practice. In the current review article, we discuss whether the assessment of PD-L1 mRNA and protein levels in circulating extracellular vesicles may have the potential to predict the likelihood of tumor response to anti-PD-1/PD-L1 antibodies.
Copyright © 2020. Published by Elsevier B.V.

Entities:  

Keywords:  Cancer; Exosomes; Extracellular vesicles; Immune-checkpoint inhibitors; Liquid biopsy; PD-1/PD-L1

Year:  2020        PMID: 33137405     DOI: 10.1016/j.bbcan.2020.188463

Source DB:  PubMed          Journal:  Biochim Biophys Acta Rev Cancer        ISSN: 0304-419X            Impact factor:   10.680


  4 in total

Review 1.  Identifying Candidates for Immunotherapy among Patients with Non-Melanoma Skin Cancer: A Review of the Potential Predictors of Response.

Authors:  Enrico Zelin; Carlo Alberto Maronese; Arianna Dri; Ludovica Toffoli; Nicola Di Meo; Gianluca Nazzaro; Iris Zalaudek
Journal:  J Clin Med       Date:  2022-06-11       Impact factor: 4.964

Review 2.  Liquid biopsy to identify biomarkers for immunotherapy in hepatocellular carcinoma.

Authors:  Huang Ao; Zhang Xin; Zhou Jian
Journal:  Biomark Res       Date:  2021-12-20

3.  Combination of Tipifarnib and Sunitinib Overcomes Renal Cell Carcinoma Resistance to Tyrosine Kinase Inhibitors via Tumor-Derived Exosome and T Cell Modulation.

Authors:  Jacob W Greenberg; Hogyoung Kim; Miae Ahn; Ahmed A Moustafa; He Zhou; Pedro C Barata; A Hamid Boulares; Asim B Abdel-Mageed; Louis S Krane
Journal:  Cancers (Basel)       Date:  2022-02-11       Impact factor: 6.639

4.  A miR-212-3p/SLC6A1 Regulatory Sub-Network for the Prognosis of Hepatocellular Carcinoma.

Authors:  Dan-Dan Zhang; Wen-Er Wang; Yu-Shui Ma; Yi Shi; Jie Yin; Ji-Bin Liu; Xiao-Li Yang; Rui Xin; Da Fu; Wen-Jie Zhang
Journal:  Cancer Manag Res       Date:  2021-06-28       Impact factor: 3.989

  4 in total

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