Article ; Online: Cancer immunotherapy: it's time to better predict patients' response.
2021 Volume 125, Issue 7, Page(s) 927–938
Abstract: In less than a decade, half a dozen immune checkpoint inhibitors have been approved and are currently revolutionising the treatment of many cancer (sub)types. With the clinical evaluation of novel delivery approaches (e.g. oncolytic viruses, cancer ... ...
Abstract | In less than a decade, half a dozen immune checkpoint inhibitors have been approved and are currently revolutionising the treatment of many cancer (sub)types. With the clinical evaluation of novel delivery approaches (e.g. oncolytic viruses, cancer vaccines, natural killer cell-mediated cytotoxicity) and combination therapies (e.g. chemo/radio-immunotherapy) as well as the emergence of novel promising targets (e.g. TIGIT, LAG-3, TIM-3), the 'immunotherapy tsunami' is not about to end anytime soon. However, this enthusiasm in the field is somewhat tempered by both the relatively low percentage (<15%) of patients who display an effective anti-cancer immune response and the inability to accurately identify them. Recently, several existing or acquired features/parameters have been shown to impact the efficacy of immune checkpoint inhibitors. In the present review, we critically discuss current knowledge regarding predictive biomarkers for checkpoint inhibitor-based immunotherapy, highlight the missing/unclear links and emphasise the importance of characterising each neoplasm and its microenvironment in order to better guide the course of treatment. |
---|---|
MeSH term(s) | Cancer Vaccines/therapeutic use ; Humans ; Immune Checkpoint Inhibitors/therapeutic use ; Immunotherapy/methods ; Killer Cells, Natural/transplantation ; Neoplasms/immunology ; Neoplasms/therapy ; Oncolytic Virotherapy |
Chemical Substances | Cancer Vaccines ; Immune Checkpoint Inhibitors |
Language | English |
Publishing date | 2021-06-10 |
Publishing country | England |
Document type | Journal Article ; Research Support, Non-U.S. Gov't ; Review |
ZDB-ID | 80075-2 |
ISSN | 1532-1827 ; 0007-0920 |
ISSN (online) | 1532-1827 |
ISSN | 0007-0920 |
DOI | 10.1038/s41416-021-01413-x |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
Full text online
More links
Kategorien
In stock of ZB MED Cologne/Königswinter
Uh III Zs.142: Show issues | Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular ab Jg. 2022: Lesesaal (EG) |
Order via subito
This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.