Journal article

[The use of immune checkpoint inhibitors in routine oncology].

  • Schardt J Universitätsklinik für Medizinische Onkologie, Inselspital, Freiburgstr. 41G, 3010, Bern, Schweiz. julian.schardt@insel.ch.
  • 2020-09-16
Published in:
  • Zeitschrift fur Rheumatologie. - 2020
English BACKGROUND
The advent of immune checkpoint inhibitors has dramatically changed the treatment landscape of many different tumor types. In the clinical routine, humanized antibodies against the immune checkpoints cytotoxic T‑lymphocyte associated protein 4 (CTLA-4) and programmed cell death 1/programmed cell death ligand 1 (PD1/PD-L1) are generally applied.


OBJECTIVE
This article provides an overview of the treatment landscape with immune checkpoint inhibitors, especially for solid tumors in oncology.


MATERIAL AND METHODS
Description and discussion of recent trial results as well as current treatment recommendations and treatment approval indications.


RESULTS
In the clinical routine seven different immune checkpoint inhibitors are applied in oncology: one anti-CTLA‑4 antibody, three anti-PD1 antibodies and three anti-PD-L1 antibodies. On the US market FDA approval for 17 different tumor entities and one agnostic indication (tumors with mismatch repair mechanism deficiency/high microsatellite instability). Long-term remission can be achieved for ca. two thirds of patients with tumor response.


CONCLUSION
Clinical benefits for only a part of patients treated with immune checkpoint inhibitors. The understanding of primary and secondary mechanisms of resistance to immune checkpoint inhibitors has just begun to evolve. Combination strategies of immune checkpoint inhibitors with e.g. chemotherapy, new immune checkpoint inhibitors (e.g. anti-LAG3 antibody) or targeted therapies (e.g. CDK4/6, PARP inhibitors) to improve efficacy are under clinical investigation. Reliable and predictive biomarkers are urgently needed.
Language
  • English
Open access status
hybrid
Identifiers
Persistent URL
https://sonar.ch/global/documents/132514
Statistics

Document views: 35 File downloads:
  • Full-text: 0