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Nature Communications | Neoadjuvant Dual Immune Checkpoint Blockade in Surgically Resectable Recurrent Glioblastoma: A Randomized Window-of-Opportunity Trial

Nature Communications | Neoadjuvant Dual Immune Checkpoint Blockade in Surgically Resectable Recurrent Glioblastoma: A Randomized Window-of-Opportunity Trial
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This study elucidates the key mechanism by which combined PD-1 and CTLA-4 blockade induces TIL infiltration in glioblastoma, providing direct experimental evidence for optimizing animal model screening and biomarker monitoring prior to immunotherapy.

 

Literature Overview

This article, titled "Neoadjuvant PD1 plus CTLA-4 immune checkpoint blockade in surgically resectable recurrent glioblastoma: a randomized surgical window-of-opportunity trial," published in Nature Communications, systematically explores a randomized surgical window-of-opportunity trial for patients with recurrent, surgically resectable glioblastoma. It evaluates the pharmacokinetic effects and survival benefits of neoadjuvant dual immune checkpoint blockade (PD-1 plus CTLA-4) compared to monotherapy or placebo.

Background Knowledge

Glioblastoma is the most aggressive primary brain cancer in adults, with two-thirds of patients exhibiting intrinsic resistance to current standard systemic therapies. Although PD-1 inhibitors have demonstrated intracranial activity in melanoma brain metastases, monotherapy immune checkpoint blockade has shown limited efficacy in glioblastoma, primarily constrained by low TIL density and adaptive immune resistance within the tumor microenvironment. Inhibition of the CTLA-4 pathway may overcome this bottleneck by early activation of T cells in lymph nodes. This study leverages the surgical window-of-opportunity to administer neoadjuvant therapy prior to resection, directly observing the immediate impact of drugs on T cell infiltration and interferon signaling pathways within the tumor microenvironment, while exploring the prognostic value of TIL density and tumor mutational burden (TMB).

 

 

Research Methods and Core Experiments

This study employed a multi-center, randomized, placebo-controlled, phase Ib clinical trial design, enrolling 63 patients with IDH-wildtype recurrent glioblastoma. Patients were randomly assigned to three groups: Arm 1 (neoadjuvant Nivolumab + Ipilimumab), Arm 2 (neoadjuvant Nivolumab monotherapy), and Arm 3 (neoadjuvant placebo, switching to dual therapy post-surgery). Key experimental approaches included quantifying TIL density via TCR sequencing, analyzing the distribution of CD4+ and CD8+ T cells and macrophages using multiplex immunofluorescence (mIF), and utilizing bulk RNA-seq and single-cell sequencing to resolve changes in gene expression profiles within the tumor microenvironment and peripheral blood PBMCs.

Key Conclusions and Perspectives

  • Neoadjuvant dual immune checkpoint blockade significantly increased TIL density within the tumor microenvironment, a metric that independently predicted overall survival (OS), whereas tumor mutational burden (TMB) showed no significant association with survival.
  • Dual therapy induced stronger interferon-related gene expression and systemic immune activation. Early and transient upregulation of interferon signaling in peripheral blood correlated with long-term survival, while persistent chronic inflammation predicted poor prognosis.
  • TCR diversity (Gini-Simpson index) and TIL density acted synergistically; patients with high diversity and high infiltration exhibited the best survival benefits, suggesting that the richness of the T cell repertoire is critical for therapeutic efficacy.
  • Five patients in the dual-therapy group achieved long-term survival (>3 years), whereas no patients in the monotherapy group did, confirming the superiority of combined blockade in overcoming the immunosuppressive microenvironment of glioblastoma.

Research Significance and Prospects

These findings indicate that in drug development, the ability of combination immunotherapy strategies to induce T cell infiltration should be prioritized over reliance solely on TMB. For clinical monitoring, interferon signaling trajectories in peripheral blood can serve as dynamic biomarkers for early prediction of therapeutic efficacy. In terms of disease modeling, future research must construct animal models capable of simulating early T cell mobilization and its interaction with the tumor microenvironment to further validate the synergistic mechanisms of PD-1 and CTLA-4 blockade.

 

 

Conclusion

Through a rigorous randomized window-of-opportunity trial, this study confirms that neoadjuvant dual immune checkpoint blockade effectively remodels the tumor immune microenvironment in recurrent glioblastoma, significantly increasing TIL density and inducing a systemic interferon response. This finding not only challenges the limitations of monotherapy immunotherapy in brain tumors but also provides critical guidance for clinical strategies: overcoming adaptive immune resistance through combined PD-1 and CTLA-4 blockade. For the care system of relevant diseases, monitoring dynamic changes in peripheral blood interferon and T cell diversity may become a new cornerstone for predicting patient survival benefits, driving the transition of glioma treatment from simple surgical resection to precise immune regulation, offering new hope for improving the prognosis of this refractory disease.

 

Reference:
Lu Sun, Lauren F Markus, Julio C Sanchez, Robert M Prins, and Patrick Y Wen. Neoadjuvant PD1 plus CTLA-4 immune checkpoint blockade in surgically resectable recurrent glioblastoma: a randomized surgical window-of-opportunity trial. Nature Communications.
Folding Stability
Prediction of absolute protein stability ΔG by protein sequence inverse folding model ESM-IF. Traditional physical methods (e.g., FoldX, Rosetta, etc.) for predicting protein stability ΔG rely on high-confidence structural pdb, and if there are too many mutations, the structural confidence decreases and the prediction results are poor. Benchmark results at ProteinGym show that the generative model ESM-IF predicts protein mutation stability ΔΔG of DMS data at best-in-class level in zero-shot. The method is an extension of mutation prediction by using the ESM-IF model to directly predict the absolute ΔG value of intact protein folding stability. It was tested with a prediction error RMSE ≈ 1.5 kcal/mol and a correlation coefficient of 0.7, representing a major breakthrough in predicting the folding stability ΔΔG of proteins.