Biomarkers for Immune Checkpoint Inhibitor Response in NSCLC: Current Developments and Applicability.
Katiane TostesAléxia Polo SiqueiraRui Manuel Vieira ReisLetícia Ferro LealLidia Maria Rebolho Batista ArantesPublished in: International journal of molecular sciences (2023)
Lung cancer has the highest mortality rate among all cancer types, resulting in over 1.8 million deaths annually. Immunotherapy utilizing immune checkpoint inhibitors (ICIs) has revolutionized the treatment of non-small cell lung cancer (NSCLC). ICIs, predominantly monoclonal antibodies, modulate co-stimulatory and co-inhibitory signals crucial for maintaining immune tolerance. Despite significant therapeutic advancements in NSCLC, patients still face challenges such as disease progression, recurrence, and high mortality rates. Therefore, there is a need for predictive biomarkers that can guide lung cancer treatment strategies. Currently, programmed death-ligand 1 (PD-L1) expression is the only established biomarker for predicting ICI response. However, its accuracy and robustness are not consistently reliable. This review provides an overview of potential biomarkers currently under development or in the validation stage that hold promise in improving the classification of responders and non-responders to ICI therapy in the near future.
Keyphrases
- small cell lung cancer
- advanced non small cell lung cancer
- cardiovascular events
- newly diagnosed
- ejection fraction
- machine learning
- risk factors
- deep learning
- papillary thyroid
- prognostic factors
- stem cells
- squamous cell carcinoma
- cardiovascular disease
- bone marrow
- current status
- patient reported outcomes
- cell therapy
- lymph node metastasis
- tyrosine kinase