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Recent Trends and Opportunities for the Targeted Immuno-Nanomaterials for Cancer Theranostics Applications

The targeted delivery of cancer immunotherapies has increased noticeably in recent years. Recent advancements in immunotherapy, particularly in blocking the immune checkpoints (ICs) axis, have shown favorable treatment outcomes for multiple types of cancer including melanoma and non-small-cell lung...

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Autores principales: John, Clyde, Jain, Kaahini, Masanam, Hema Brindha, Narasimhan, Ashwin Kumar, Natarajan, Arutselvan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781111/
https://www.ncbi.nlm.nih.gov/pubmed/36557516
http://dx.doi.org/10.3390/mi13122217
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author John, Clyde
Jain, Kaahini
Masanam, Hema Brindha
Narasimhan, Ashwin Kumar
Natarajan, Arutselvan
author_facet John, Clyde
Jain, Kaahini
Masanam, Hema Brindha
Narasimhan, Ashwin Kumar
Natarajan, Arutselvan
author_sort John, Clyde
collection PubMed
description The targeted delivery of cancer immunotherapies has increased noticeably in recent years. Recent advancements in immunotherapy, particularly in blocking the immune checkpoints (ICs) axis, have shown favorable treatment outcomes for multiple types of cancer including melanoma and non-small-cell lung cancer (NSLC). Engineered micromachines, including microparticles, and nanoplatforms (organic and inorganic), functionalized with immune agonists can effectively deliver immune-targeting molecules to solid tumors. This review focuses on the nanomaterial-based strategies that have shown promise in identifying and targeting various immunological markers in the tumor microenvironment (TME) for cancer diagnosis and therapy. Nanomaterials-based cancer immunotherapy has improved treatment outcomes by triggering an immune response in the TME. Evaluating the expression levels of ICs in the TME also could potentially aid in diagnosing patients who would respond to IC blockade therapy. Detecting immunological checkpoints in the TME using noninvasive imaging systems via tailored nanosensors improves the identification of patient outcomes in immuno-oncology (IO). To enhance patient-specific analysis, lab-on-chip (LOC) technology is a rapid, cost-effective, and accurate way of recapitulating the TME. Such novel nanomaterial-based technologies have been of great interest for testing immunotherapies and assessing biomarkers. Finally, we provide a perspective on the developments in artificial intelligence tools to facilitate ICs-based nano theranostics toward cancer immunotherapy.
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spelling pubmed-97811112022-12-24 Recent Trends and Opportunities for the Targeted Immuno-Nanomaterials for Cancer Theranostics Applications John, Clyde Jain, Kaahini Masanam, Hema Brindha Narasimhan, Ashwin Kumar Natarajan, Arutselvan Micromachines (Basel) Review The targeted delivery of cancer immunotherapies has increased noticeably in recent years. Recent advancements in immunotherapy, particularly in blocking the immune checkpoints (ICs) axis, have shown favorable treatment outcomes for multiple types of cancer including melanoma and non-small-cell lung cancer (NSLC). Engineered micromachines, including microparticles, and nanoplatforms (organic and inorganic), functionalized with immune agonists can effectively deliver immune-targeting molecules to solid tumors. This review focuses on the nanomaterial-based strategies that have shown promise in identifying and targeting various immunological markers in the tumor microenvironment (TME) for cancer diagnosis and therapy. Nanomaterials-based cancer immunotherapy has improved treatment outcomes by triggering an immune response in the TME. Evaluating the expression levels of ICs in the TME also could potentially aid in diagnosing patients who would respond to IC blockade therapy. Detecting immunological checkpoints in the TME using noninvasive imaging systems via tailored nanosensors improves the identification of patient outcomes in immuno-oncology (IO). To enhance patient-specific analysis, lab-on-chip (LOC) technology is a rapid, cost-effective, and accurate way of recapitulating the TME. Such novel nanomaterial-based technologies have been of great interest for testing immunotherapies and assessing biomarkers. Finally, we provide a perspective on the developments in artificial intelligence tools to facilitate ICs-based nano theranostics toward cancer immunotherapy. MDPI 2022-12-14 /pmc/articles/PMC9781111/ /pubmed/36557516 http://dx.doi.org/10.3390/mi13122217 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
John, Clyde
Jain, Kaahini
Masanam, Hema Brindha
Narasimhan, Ashwin Kumar
Natarajan, Arutselvan
Recent Trends and Opportunities for the Targeted Immuno-Nanomaterials for Cancer Theranostics Applications
title Recent Trends and Opportunities for the Targeted Immuno-Nanomaterials for Cancer Theranostics Applications
title_full Recent Trends and Opportunities for the Targeted Immuno-Nanomaterials for Cancer Theranostics Applications
title_fullStr Recent Trends and Opportunities for the Targeted Immuno-Nanomaterials for Cancer Theranostics Applications
title_full_unstemmed Recent Trends and Opportunities for the Targeted Immuno-Nanomaterials for Cancer Theranostics Applications
title_short Recent Trends and Opportunities for the Targeted Immuno-Nanomaterials for Cancer Theranostics Applications
title_sort recent trends and opportunities for the targeted immuno-nanomaterials for cancer theranostics applications
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781111/
https://www.ncbi.nlm.nih.gov/pubmed/36557516
http://dx.doi.org/10.3390/mi13122217
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