University of Oulu

Iivanainen, S.; Koivunen, J.P. Possibilities of Improving the Clinical Value of Immune Checkpoint Inhibitor Therapies in Cancer Care by Optimizing Patient Selection. Int. J. Mol. Sci. 2020, 21, 556. https://doi.org/10.3390/ijms21020556

Possibilities of improving the clinical value of immune checkpoint inhibitor therapies in cancer care by optimizing patient selection

Saved in:
Author: Iivanainen, Sanna1; Koivunen, Jussi P.1
Organizations: 1Department of Oncology and Radiotherapy, Oulu University Hospital and MRC Oulu, 90220 Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.2 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2020042923316
Language: English
Published: Multidisciplinary Digital Publishing Institute, 2020
Publish Date: 2020-04-29
Description:

Abstract

Immune checkpoint inhibitor (ICI) therapies have become the most important medical therapies in many malignancies, such as melanoma, non-small-cell lung cancer, and urogenital cancers. However, due to generally low response rates of PD-(L)1 monotherapy, both PD-(L)1 combination therapies and novel therapeutics are under large-scale clinical evaluation. Thus far, clinical trials have rather suboptimally defined the patient population most likely to benefit from ICI therapy, and there is an unmet need for negative predictive markers aiming to reduce the number of non-responding patients in clinical practice. Furthermore, there is a strong need for basic tumor immunology research and innovative clinical trials to fully unleash the potential of ICI combinations for the benefit of patients.

see all

Series: International journal of molecular sciences
ISSN: 1661-6596
ISSN-E: 1422-0067
ISSN-L: 1661-6596
Volume: 21
Issue: 2
DOI: 10.3390/ijms21020556
OADOI: https://oadoi.org/10.3390/ijms21020556
Type of Publication: A2 Review article in a scientific journal
Field of Science: 3122 Cancers
Subjects:
Copyright information: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
  https://creativecommons.org/licenses/by/4.0/