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Patient-Derived Tumor Explants As a "Live" Preclinical Platform for Predicting Drug Resistance in Patients
Published on: February 7, 2021
Non-Small Cell Lung Cancer: Challenge and Improvement of Immune Drug Resistance
Fanming Kong1,2, Ziwei Wang1,2, Dongying Liao1,2
1Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Abstract:
Lung cancer is the leading cause of cancer deaths in the world. At present, immunotherapy has made a great breakthrough in lung cancer treatment. A variety of immune checkpoint inhibitors have been applied into clinical practice, including antibodies targeting the programmed cell death-1, programmed cell death-ligand 1, and cytotoxic T-lymphocyte antigen 4. However, in the actual clinical process, about 30%-50% of patients still do not receive long-term benefits. Abnormal antigen presentation, functional gene mutation, tumor microenvironment, and other factors can lead to primary or secondary resistance. In this paper, we reviewed the immune mechanism of immune checkpoint inhibitor resistance, various combination strategies, and prediction of biomarkers to overcome resistance in order to accurately screen out the advantageous population, expand the beneficiary population, and enable precise and individualized medicine.
Insights
Immunotherapy offers breakthroughs in lung cancer treatment, but many patients develop resistance. This review explores mechanisms and strategies to improve immune checkpoint inhibitor effectiveness for better patient outcomes.
Area of Science:
- Oncology
- Immunology
- Cancer Research
Background:
- Lung cancer remains a leading cause of cancer mortality globally.
- Immunotherapy, particularly immune checkpoint inhibitors (ICIs) targeting PD-1, PD-L1, and CTLA-4, has revolutionized lung cancer treatment.
- However, a significant proportion of patients (30-50%) exhibit primary or acquired resistance to ICIs, limiting long-term benefits.
Purpose of the Study:
- To review the complex immune mechanisms underlying resistance to immune checkpoint inhibitors in lung cancer.
- To explore diverse combination strategies aimed at overcoming ICI resistance.
- To discuss predictive biomarkers for identifying patient populations likely to benefit from ICI therapy and combination treatments.
Main Methods:
- Comprehensive literature review of studies on lung cancer immunotherapy resistance.
- Analysis of molecular and cellular mechanisms contributing to primary and acquired resistance.
- Evaluation of preclinical and clinical data on combination therapies involving ICIs.
- Assessment of current and emerging biomarkers for predicting ICI response.
Main Results:
- Resistance to ICIs is multifactorial, involving issues in antigen presentation, gene mutations, and the tumor microenvironment.
- Various combination strategies, including chemotherapy, targeted therapy, and other immunotherapies, show promise in enhancing ICI efficacy.
- Biomarker research is crucial for stratifying patients and predicting response to different treatment approaches.
Conclusions:
- Understanding ICI resistance mechanisms is key to developing more effective lung cancer treatments.
- Combination therapies and biomarker-driven patient selection are essential for maximizing the benefits of immunotherapy.
- Future research should focus on personalized medicine approaches to overcome resistance and improve survival rates in lung cancer patients.
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