Back to Search
Start Over
Combination Strategies Involving Immune Checkpoint Inhibitors and Tyrosine Kinase or BRAF Inhibitors in Aggressive Thyroid Cancer.
- Source :
-
International journal of molecular sciences [Int J Mol Sci] 2022 May 20; Vol. 23 (10). Date of Electronic Publication: 2022 May 20. - Publication Year :
- 2022
-
Abstract
- Thyroid cancer is the most common (~90%) type of endocrine-system tumor, accounting for 70% of the deaths from endocrine cancers. In the last years, the high-throughput genomics has been able to identify pathways/molecular targets involved in survival and tumor progression. Targeted therapy and immunotherapy individually have many limitations. Regarding the first one, although it greatly reduces the size of the cancer, clinical responses are generally transient and often lead to cancer relapse after initial treatment. For the second one, although it induces longer-lasting responses in cancer patients than targeted therapy, its response rate is lower. The individual limitations of these two different types of therapies can be overcome by combining them. Here, we discuss MAPK pathway inhibitors, i.e., BRAF and MEK inhibitors, combined with checkpoint inhibitors targeting PD-1, PD-L1, and CTLA-4. Several mutations make tumors resistant to treatments. Therefore, more studies are needed to investigate the patient's individual tumor mutation burden in order to overcome the problem of resistance to therapy and to develop new combination therapies.
- Subjects :
- Humans
Immune Checkpoint Inhibitors pharmacology
Immune Checkpoint Inhibitors therapeutic use
Neoplasm Recurrence, Local drug therapy
Protein Kinase Inhibitors pharmacology
Protein Kinase Inhibitors therapeutic use
Protein-Tyrosine Kinases metabolism
Proto-Oncogene Proteins B-raf metabolism
Melanoma pathology
Thyroid Neoplasms drug therapy
Thyroid Neoplasms genetics
Subjects
Details
- Language :
- English
- ISSN :
- 1422-0067
- Volume :
- 23
- Issue :
- 10
- Database :
- MEDLINE
- Journal :
- International journal of molecular sciences
- Publication Type :
- Academic Journal
- Accession number :
- 35628540
- Full Text :
- https://doi.org/10.3390/ijms23105731