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Immune-Checkpoint Inhibitors in Lung Neuroendocrine Tumors - A Systematic Review and Meta-Analysis
Rita Carrilho Pichel1, Lavinia Benini2, Marco Romelli3
1Department of Medical Oncology, Centro Hospitalar Universitário Do Porto, Unidade Local de Saúde de Santo António, Porto, Portugal.
Abstract:
Lung neuroendocrine tumors (NETs) are well-differentiated neuroendocrine neoplasms of lung origin, including typical and atypical carcinoids (ACs). Therapeutic options for this rare disease are limited in daily clinical practice. Immune-checkpoint inhibitors (ICIs) are under clinical investigation. Here, we report a systematic reappraisal about ICIs results in lung NETs. We reviewed articles on observational or interventional studies that reported efficacy data of ICIs in lung NETs. Case reports and studies with insufficient data were excluded from the analysis. We searched the electronic databases Medline, Embase, Web of Science, and Cochrane Library up to May 2024. Two investigators independently screened the identified records and assessed studies quality. We summarized the results descriptively and in a meta-analysis of ORR according to the type of intervention. The search retrieved 1344 records. After selection, we included 11 studies in the meta-analysis of ORR, with a total of 128 adult patients with lung NET (25% ACs) that were progressing after at least one line of systemic therapy, including treatment with somatostatin analogs. Ten studies were Phase II, and 1 study was phase Ib. The summary ORR was 14.7% (95% CI, 5.8-32.2), 44.4% (27.2-63.1) for ACs. Subgroup analysis by intervention types showed a trend for lower ORR of lung NETs treated with ICI monotherapy (ORR: 2.7%; 0.0-63.7) compared with combinations (p-value: 0.056). The combination of temozolomide plus nivolumab showed the highest ORR (66.7%; 33.3-88.9). The median OS (reported in 2 studies) was not reached. Safety was consistent with historical data of ICIs. Our work suggests that ICIs are a promising treatment for patients with lung NETs, especially ACs, and warrant further investigation in more focused studies.
Insights
Immune-checkpoint inhibitors (ICIs) show promise for lung neuroendocrine tumors (NETs), particularly atypical carcinoids (ACs). Combination therapies, like temozolomide plus nivolumab, demonstrated higher response rates than monotherapy.
Area of Science:
- Oncology
- Pulmonology
- Immunotherapy
Background:
- Lung neuroendocrine tumors (NETs), including typical and atypical carcinoids (ACs), represent a rare malignancy with limited therapeutic options.
- Immune-checkpoint inhibitors (ICIs) are emerging as a potential treatment modality for various cancers, including lung NETs.
Purpose of the Study:
- To systematically evaluate the efficacy of immune-checkpoint inhibitors (ICIs) in patients with lung neuroendocrine tumors (NETs).
- To conduct a meta-analysis of objective response rates (ORR) for ICIs in lung NETs, including subgroup analyses by intervention type.
Main Methods:
- A systematic review and meta-analysis of observational and interventional studies reporting ICI efficacy in lung NETs.
- Searched Medline, Embase, Web of Science, and Cochrane Library up to May 2024, including 11 studies with 128 adult patients.
- Excluded case reports and studies with insufficient data; assessed study quality and summarized results descriptively.
Main Results:
- The overall objective response rate (ORR) for lung NETs treated with ICIs was 14.7%, with a significantly higher ORR of 44.4% for atypical carcinoids (ACs).
- Combination therapies showed a trend towards higher ORR compared to ICI monotherapy (p=0.056).
- The combination of temozolomide plus nivolumab achieved the highest ORR at 66.7%. Safety profiles were consistent with known ICI data.
Conclusions:
- Immune-checkpoint inhibitors (ICIs) represent a promising therapeutic strategy for patients with lung neuroendocrine tumors (NETs), especially ACs.
- Combination ICI regimens appear more effective than monotherapy, warranting further investigation in focused clinical trials.
- Further research is needed to optimize ICI treatment for lung NETs and improve patient outcomes.
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