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Nature Medicine | Perioperative Immunotherapy in Resectable Diffuse Malignant Pleural Mesothelioma

Nature Medicine | Perioperative Immunotherapy in Resectable Diffuse Malignant Pleural Mesothelioma
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This study evaluates the feasibility and safety of perioperative immunotherapy in resectable diffuse malignant pleural mesothelioma (DPM) and explores the clinical application value of circulating tumor DNA (ctDNA) in assessing disease response and residual disease.

 

Literature Overview

This article, titled 'Perioperative nivolumab or nivolumab plus ipilimumab in resectable diffuse pleural mesothelioma: a phase 2 trial and ctDNA analyses', published in the journal Nature Medicine, reviews and summarizes the potential application of immune checkpoint blockade (ICB) therapy in resectable diffuse pleural mesothelioma (DPM), and evaluates the role of ctDNA in monitoring treatment response and residual disease. The study enrolled 30 patients divided into two groups: Arm A received nivolumab monotherapy, while Arm B received combination therapy with nivolumab and ipilimumab, followed by surgery and adjuvant therapy. The primary endpoints were safety and feasibility of treatment. Exploratory endpoints included progression-free survival (PFS), overall survival (OS), and ctDNA analysis.

Background Knowledge

DPM is a rare and aggressive pleural malignancy often associated with asbestos exposure. Although surgery remains a potentially curative option, DPM exhibits a low response rate to systemic therapies and lacks effective molecular markers for evaluating residual disease and treatment response. Traditional imaging modalities (e.g., RECIST) are limited in DPM due to its growth pattern, which often does not form measurable lesions. Thus, ctDNA, as an ultrasensitive liquid biopsy tool, provides a molecular-level method to assess the efficacy of ICB. In recent years, ctDNA detection technologies, particularly those based on tumor mutation profiles and machine learning, have significantly enhanced its application in resectable cancers. This study aims to validate the safety and feasibility of ICB in perioperative settings for DPM and to assess the clinical utility of ctDNA in disease monitoring.

 

 

Research Methods and Experiments

The study employed a multicenter, multi-cohort, non-controlled phase 2 clinical trial design, enrolling 30 treatment-naïve patients with resectable DPM. Sixteen patients were assigned to Arm A to receive nivolumab monotherapy, and 14 patients were assigned to Arm B to receive combination therapy with nivolumab and ipilimumab. Both groups received three cycles of neoadjuvant treatment before surgery, followed by surgical resection and adjuvant therapy, and continued to receive nivolumab maintenance therapy for one year. The primary endpoint was the feasibility and safety of treatment. Secondary endpoints included treatment response rate and toxicity of adjuvant therapy. Exploratory endpoints included progression-free survival (PFS), overall survival (OS), and dynamic monitoring of ctDNA. ctDNA analysis was based on tumor-informed whole-genome sequencing (WGS) and machine learning models to evaluate the relationship between ctDNA clearance and disease progression.

Key Conclusions and Perspectives

  • The study met its primary endpoint, with over 80% of patients completing surgery on schedule without significant treatment delays.
  • Both Arm A and Arm B showed acceptable safety profiles, with only one case of dose-limiting toxicity reported.
  • Median PFS in Arm A was 9.6 months, with OS of 19.3 months; in Arm B, median PFS was 19.8 months, and OS was 28.6 months.
  • Preoperative ctDNA detection effectively identified residual disease, with persistent positivity associated with disease progression (P=0.00013).
  • ctDNA clearance was significantly associated with prolonged PFS, especially in Arm A (P=0.027).
  • Machine learning-based ctDNA analysis provided a more reliable assessment of treatment response at the molecular level compared to imaging.
  • Dynamic ctDNA analysis effectively predicted postoperative recurrence, detecting disease progression even before imaging evaluation.

Research Significance and Prospects

The study supports the feasibility of perioperative ICB in resectable DPM and highlights the clinical value of ctDNA in residual disease assessment. Future research should further optimize ctDNA analysis methods and validate their predictive capacity in larger randomized trials. Additionally, integrating more personalized treatment strategies, such as targeted therapy or combination chemotherapy, may improve long-term survival in DPM patients. The application of ctDNA analysis in other tumor types with low mutation burden also warrants further investigation.

 

 

Conclusion

This study is the first systematic evaluation of the feasibility and safety of perioperative immunotherapy in resectable DPM, confirming the high sensitivity of ctDNA in monitoring residual disease and treatment response. The results demonstrate that dynamic changes in ctDNA can serve as an early biomarker for treatment response in the perioperative setting, providing a critical foundation for future personalized treatment decisions. Although the study had a small sample size and did not directly compare efficacy between Arm A and Arm B, the data support the potential of ICB in perioperative treatment of DPM. The ultrasensitive nature of ctDNA analysis offers a unique advantage in postoperative disease monitoring, enabling earlier detection of recurrence and optimizing follow-up strategies. Future research should further explore ctDNA applications in other cancers with low mutation burden and integrate more precise imaging evaluation methods to improve long-term survival outcomes in resectable DPM.

 

Reference:
Joshua E Reuss, Paul K Lee, Reza J Mehran, Valsamo Anagnostou, and Patrick M Forde. Perioperative nivolumab or nivolumab plus ipilimumab in resectable diffuse pleural mesothelioma: a phase 2 trial and ctDNA analyses. Nature Medicine.
Humanization
Monoclonal antibody therapeutics typically originate from non-human sources (usually mice), which may trigger immune responses in humans. Antibody humanization aims to modify the variable region sequences of antibodies to obtain antibodies that do not elicit immune responses. We utilized nearly one billion antibody sequences from the OAS database to establish an antibody humanness evaluation AI model capable of distinguishing between human and non-human antibody variable region sequences. The scores output by the model are negatively correlated with the experimental immunogenicity (ADA) of existing FDA-approved antibody therapies. Following the approach of Marks and Hummer, we combined this model with a Beam Search algorithm to develop an antibody sequence humanization tool. This tool aims to maximize the level of humaness of antibodies while minimizing number of mutations and maintaining key characteristics such as affinity, thereby reducing their immunogenicity.
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