Bioresponsive immunomodulator nanocomplex for selective immunoengineering in metastatic lymph nodes

Lymph node (LN) metastasis (LNM) frequently occurs in various cancer types and is associated with high aggressiveness, poor prognosis, and low survival rates. However, effective clinical interventions remain limited primarily due to the distinctive immunosuppressive microenvironment found in metastatic LNs. Targeted delivery of immunomodulators and selective immunoengineering in metastatic LNs offers a promising avenue for repurposing these LNs as an effective antitumor system while mitigating the risk of unwanted immune activation elsewhere. Here, we develop a bioresponsive LN-targeted immunomodulator nanocomplex designed to selectively reprogram the immune microenvironment in metastatic LNs for LNM inhibition. The immunomodulator nanocomplex can target LNs due to specific chemokine receptor 7 modification and selectively release anti-PD-1 antibodies in response to glutathione that is found elevated in the extracellular matrix of metastatic LNs. In two mouse models, our data suggested that the immunomodulator nanocomplex can selectively activate T cell-mediated antitumor immune responses in metastatic LNs and thus effectively inhibit tumor growth and prolong the survival of animals. Importantly, the modular design of this platform could enable facile incorporation of alternative immunotherapeutic agents that exhibit significant systemic toxicities in the clinic, allowing broader application to payloads that may particularly benefit from localized, LNM-selective activation. This approach holds significant promises for reducing the necessity for complete LN dissection, thereby presenting a valuable therapeutic option for a broad spectrum of cancer patients.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2026-01-20
DOI
https://doi.org/10.1073/pnas.2519625123
Primary Topic
Nanoplatforms for cancer theranostics
Type
article
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article

Bioresponsive immunomodulator nanocomplex for selective immunoengineering in metastatic lymph nodes

G J Chen, Mo Chen, Xiaona Cao, Yueyang Deng et al.
Proceedings of the National Academy of Sciences
Nanoplatforms for cancer theranostics
article

Bioresponsive immunomodulator nanocomplex for selective immunoengineering in metastatic lymph nodes

G J Chen, Mo Chen, Xiaona Cao, Yueyang Deng, Tianxu Fang, Tianwen Luo
article en

Abstract

Lymph node (LN) metastasis (LNM) frequently occurs in various cancer types and is associated with high aggressiveness, poor prognosis, and low survival rates. However, effective clinical interventions remain limited primarily due to the distinctive immunosuppressive microenvironment found in metastatic LNs. Targeted delivery of immunomodulators and selective immunoengineering in metastatic LNs offers a promising avenue for repurposing these LNs as an effective antitumor system while mitigating the risk of unwanted immune activation elsewhere. Here, we develop a bioresponsive LN-targeted immunomodulator nanocomplex designed to selectively reprogram the immune microenvironment in metastatic LNs for LNM inhibition. The immunomodulator nanocomplex can target LNs due to specific chemokine receptor 7 modification and selectively release anti-PD-1 antibodies in response to glutathione that is found elevated in the extracellular matrix of metastatic LNs. In two mouse models, our data suggested that the immunomodulator nanocomplex can selectively activate T cell-mediated antitumor immune responses in metastatic LNs and thus effectively inhibit tumor growth and prolong the survival of animals. Importantly, the modular design of this platform could enable facile incorporation of alternative immunotherapeutic agents that exhibit significant systemic toxicities in the clinic, allowing broader application to payloads that may particularly benefit from localized, LNM-selective activation. This approach holds significant promises for reducing the necessity for complete LN dissection, thereby presenting a valuable therapeutic option for a broad spectrum of cancer patients.

Proceedings of the National Academy of SciencesVol. 123(4)
McGill University (CA)
No poverty
Openalex Percentile: Top 83%
Nanoplatforms for cancer theranostics
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