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Immune Checkpoint Inhibitors in Lung Cancer: Role of Biomarkers and Combination Therapies
Tun Zan Maung1, Huseyin Ekin Ergin2, Mehwish Javed1
1Internal Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, USA.
Abstract:
Lung cancer is the leading cause of cancer-related death worldwide, with a poor prognosis. Despite aggressive treatment, progression-free survival (PFS) and overall survival are limited. Recently, various kinds of immune checkpoint inhibitors (ICIs) have emerged for several cancers, targeting PD1, PDL1, and CTLA-4. ICIs have made a significant breakthrough in cancer and revolutionized the management of cancer including lung cancer. However, there are a lot of controversies regarding which group of patients is most suitable to be treated with ICIs in terms of monotherapy, combination, and predictive biomarkers. We reviewed various kinds of studies, such as meta-analysis, randomized control trials, multi-center cohort studies, and case-control studies from PubMed written in English from the last five years. ICIs have significant benefits in the overall survival compared with traditional chemotherapy. Patients with a higher level of PDL1 expression and high tumor mutational burden (TMB) have a higher response rate, and those with EGFR-/ALK- were better than those with EGFR+/ALK+. The patient who responded to immunotherapy completely can still maintain the efficacy after two years of treatment. Neoadjuvant immunotherapy in patients with resectable non-small cell lung cancer resulted in a 45% major pathology response (MPR) and 40% downstaging. Combined therapy (ICIs + chemotherapy) was better than chemotherapy alone, irrespective of PD-L1 expression. A combination of ICIs such as CTLA-4 and PD-1/PD-L1 improved PFS as well. Radiochemotherapy ahead of ICIs is promising as well. However, ICIs combined with EGFR/ALK-TKI (tyrosine kinase inhibitor) are not suggested for the time being. PDL1 expression, TMB, and EGFR/ALK mutations are promising predictive biomarkers. Gut microbiota, galectin-3, and intensity of CD8 cell infiltration are other potential predictive biomarkers. These are very important in the future management of lung cancers as they can prevent unnecessary toxicities and cost of treatment.
Insights
Immune checkpoint inhibitors (ICIs) significantly improve survival in lung cancer patients compared to chemotherapy. Biomarkers like PD-L1 expression and tumor mutational burden help predict response to these revolutionary treatments.
Area of Science:
- Oncology
- Immunotherapy
- Biomarkers
Background:
- Lung cancer remains a leading cause of cancer death globally with limited survival outcomes.
- Traditional treatments offer limited efficacy, necessitating novel therapeutic strategies.
- Immune checkpoint inhibitors (ICIs) targeting PD1, PDL1, and CTLA-4 have emerged as a breakthrough in cancer management.
Purpose of the Study:
- To review the efficacy and controversies surrounding immune checkpoint inhibitors (ICIs) in lung cancer treatment.
- To identify optimal patient populations and predictive biomarkers for ICI therapy.
- To evaluate various combination strategies and neoadjuvant applications of ICIs.
Main Methods:
- Comprehensive literature review of meta-analyses, randomized controlled trials, and cohort studies from PubMed (last five years).
- Analysis focused on studies written in English.
- Inclusion of diverse study designs to assess ICI efficacy and predictive biomarkers.
Main Results:
- ICIs demonstrate significant overall survival benefits over traditional chemotherapy.
- Higher PD-L1 expression and tumor mutational burden (TMB) correlate with increased response rates.
- Neoadjuvant immunotherapy in resectable non-small cell lung cancer shows promising pathological response and downstaging rates.
- Combination therapy (ICIs + chemotherapy) and combined ICIs (CTLA-4 + PD-1/PD-L1) improve progression-free survival.
- EGFR/ALK-negative patients generally show better outcomes than EGFR/ALK-positive patients.
Conclusions:
- ICIs represent a revolutionary advancement in lung cancer treatment, offering improved survival.
- PDL1 expression, TMB, and EGFR/ALK mutations are key predictive biomarkers for ICI therapy.
- Emerging biomarkers like gut microbiota and CD8 cell infiltration warrant further investigation for personalized treatment strategies.
- Combination therapies and neoadjuvant approaches show promise, while combining ICIs with EGFR/ALK-TKIs is currently not recommended.
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