Lenvatinib Combined with PD-1 Blockade Therapy Benefits Gastric Cancers through Immunosuppressive Macrophage

Nina Yi-Tzu Lin1, Hirotomo Machiyama2,3, Akihito Kawazoe4

  • 1Division of Cancer Immunology, Research Institute/Exploratory Oncology Research and Clinical Trial Center (EPOC), National Cancer Center, Tokyo, Japan.

Insights

Combining lenvatinib with PD-1 blockade therapy effectively targets immunosuppressive macrophages in gastric cancer. This combination enhances antitumor immunity and shows promise as a predictive biomarker for patient stratification in cancer immunotherapy.

Area of Science:

  • Immunology
  • Oncology
  • Pharmacology

Background:

  • Resistance to PD-1 blockade monotherapy is a significant challenge in gastric cancer (GC) treatment.
  • Combination therapy with multikinase inhibitors and PD-1 blockade shows promise for overcoming this resistance.
  • Immunosuppressive macrophages within the tumor microenvironment (TME) play a crucial role in cancer progression and treatment resistance.

Purpose of the Study:

  • To investigate the mechanism by which lenvatinib, a multikinase inhibitor, affects immunosuppressive macrophages in the TME.
  • To evaluate the efficacy of lenvatinib in combination with PD-1 blockade (pembrolizumab) in patients with advanced GC.
  • To identify potential predictive biomarkers for response to combination immunotherapy in GC.

Main Methods:

  • Longitudinal immunoprofiling of tumor samples from GC patients treated with lenvatinib and pembrolizumab.
  • Analysis of CD206+CD163+ immunosuppressive macrophage infiltration and its correlation with treatment response.
  • Mechanistic studies involving PDGFRα/FGFR signaling pathways and endoplasmic reticulum stress in macrophages.
  • Evaluation of combination therapy efficacy in preclinical animal models.

Main Results:

  • Lenvatinib selectively reduced CD206+CD163+ immunosuppressive macrophages in the TME, enhancing antitumor immunity.
  • Patients with abundant immunosuppressive macrophages responded favorably to lenvatinib and pembrolizumab combination therapy.
  • High infiltration of these macrophages predicted response to combination therapy but was associated with resistance to PD-1 monotherapy.
  • Lenvatinib inhibited PDGFRα/FGFR-dependent signaling, inducing apoptosis in immunosuppressive macrophages via endoplasmic reticulum stress.

Conclusions:

  • Abundance of immunosuppressive macrophages in the TME can serve as a predictive biomarker for patient stratification in GC.
  • Mechanism-based combination immunotherapy, such as lenvatinib plus anti-PD-1, offers a rational approach to overcome resistance and improve treatment outcomes in GC.
  • Targeting immunosuppressive macrophages represents a promising strategy for enhancing cancer immunotherapy efficacy.

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