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Exploring the functionality of fluorescent liposomes in cancer: diagnosis and therapy

  • Bhupendra G. Prajapati ORCID logo , Jai Bharti Sharma , Ashutosh Pareek , Rahul Garg , Pushpendra Kumar Saini and Devesh U. Kapoor ORCID logo EMAIL logo
Published/Copyright: September 24, 2024
Become an author with De Gruyter Brill

Abstract

Fluorescent liposomes are pivotal in cancer research, serving as adaptable vehicles for imaging and therapeutics. These small lipid vesicles, capable of encapsulating fluorescent dyes, offer precise visualization and monitoring of their targeted delivery to cancer cells. This review delves into the critical role fluorescent liposomes play in enhancing both cancer diagnosis and treatment. It provides an in-depth analysis of their structural features, fluorescent labeling techniques, targeting strategies, and the challenges and opportunities they present. In the domain of cancer diagnosis, the article sheds light on various imaging modalities enabled by fluorescent liposomes, including fluorescence imaging and multimodal techniques. Emphasis is placed on early detection strategies, exhibiting the utility of targeted contrast agents and biomarker recognition for enhanced diagnostic precision. Moving on to cancer treatment, the review discusses the sophisticated drug delivery mechanisms facilitated by fluorescent liposomes, focusing on chemotherapy and photodynamic therapy. Moreover, the exploration extends to targeted therapy, explaining the applications of fluorescent liposomes in gene delivery and RNA interference. In a nutshell, his article comprehensively explores the multifaceted impact of fluorescent liposomes on advancing cancer diagnosis and treatment, combining existing knowledge with emerging trends.


Corresponding author: Devesh U. Kapoor, Dr. Dayaram Patel Pharmacy College, Sardar Baug, Station Road, Bardoli, Gujarat 394601, India, E-mail:

Acknowledgments

We want to express our gratitude to Ganpat University, India, for their generous support in providing the necessary facilities for conducting the review activities for the manuscript.

  1. Research ethics: We have followed the research ethics.

  2. Author contributions: Conceptualization, DUK and BGP; methodology, AP, JBS, RG, and DUK; software, JBS, RG and; validation, DUK and BGP; investigation, RG, AP, and DUK; resources, RG; data curation, DUK; writing original draft preparation, JBS, AP, and DUK; writing review and editing, JBS; visualization, BGP; supervision, BGP and DUK; project administration, JBS, PS, and BGP. All authors have read and agreed to the published version of the manuscript.

  3. Use of Large Language Models, AI and Machine Learning Tools: We have not used any AI and Machine Learning Tools.

  4. Competing interests: The authors state no conflict of interest.

  5. Research funding: This work has not received from any organization.

  6. Data availability: Not applicable.

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Received: 2024-06-18
Accepted: 2024-09-05
Published Online: 2024-09-24
Published in Print: 2025-05-26

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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