Shortwave Infrared-Emitting Theranostics for Breast Cancer Therapy Response Monitoring.

NIR-II bioimaging nanotechnology rare earths shortwave infrared imaging theranostic tumor therapy monitoring

Journal

Frontiers in molecular biosciences
ISSN: 2296-889X
Titre abrégé: Front Mol Biosci
Pays: Switzerland
ID NLM: 101653173

Informations de publication

Date de publication:
2020
Historique:
received: 04 06 2020
accepted: 14 09 2020
entrez: 2 11 2020
pubmed: 3 11 2020
medline: 3 11 2020
Statut: epublish

Résumé

Therapeutic drug monitoring (TDM) in cancer, while imperative, has been challenging due to inter-patient variability in drug pharmacokinetics. Additionally, most pharmacokinetic monitoring is done by assessments of the drugs in plasma, which is not an accurate gauge for drug concentrations in target tumor tissue. There exists a critical need for therapy monitoring tools that can provide real-time feedback on drug efficacy at target site to enable alteration in treatment regimens early during cancer therapy. Here, we report on theranostic optical imaging probes based on shortwave infrared (SWIR)-emitting rare earth-doped nanoparticles encapsulated with human serum albumin (abbreviated as ReANCs) that have demonstrated superior surveillance capability for detecting micro-lesions at depths of 1 cm in a mouse model of breast cancer metastasis. Most notably, ReANCs previously deployed for detection of multi-organ metastases resolved bone lesions earlier than contrast-enhanced magnetic resonance imaging (MRI). We engineered tumor-targeted ReANCs carrying a therapeutic payload as a potential theranostic for evaluating drug efficacy at the tumor site.

Identifiants

pubmed: 33134314
doi: 10.3389/fmolb.2020.569415
pmc: PMC7575924
doi:

Types de publication

Journal Article

Langues

eng

Pagination

569415

Subventions

Organisme : NIBIB NIH HHS
ID : R01 EB018378
Pays : United States

Informations de copyright

Copyright © 2020 Shah, Gonda, Pemmaraju, Subash, Bobadilla Mendez, Berger, Zhao, He, Riman, Tan, Pierce, Moghe and Ganapathy.

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Auteurs

Jay V Shah (JV)

Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, United States.

Amber Gonda (A)

Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, United States.

Rahul Pemmaraju (R)

Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, United States.

Aishwarya Subash (A)

Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, United States.

Carolina Bobadilla Mendez (C)

Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, United States.

Marissa Berger (M)

Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, United States.

Xinyu Zhao (X)

Engineering Product Development, Singapore University of Technology and Design, Tampines, Singapore.

Shuqing He (S)

Engineering Product Development, Singapore University of Technology and Design, Tampines, Singapore.

Richard E Riman (RE)

Department of Materials Science and Engineering, Rutgers University, Piscataway, NJ, United States.

Mei Chee Tan (MC)

Engineering Product Development, Singapore University of Technology and Design, Tampines, Singapore.

Mark C Pierce (MC)

Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, United States.

Prabhas V Moghe (PV)

Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, United States.
Department of Chemical & Biochemical Engineering, Rutgers University, Piscataway, NJ, United States.

Vidya Ganapathy (V)

Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, United States.

Classifications MeSH