EMAN RESEARCH PUBLISHING | Journal | <p>Epidermal Growth Factor Receptor and Double-Imprinted Nanoparticles for Targeted Cancer Drug Delivery - A Review</p>
Inflammation Cancer Angiogenesis Biology and Therapeutics | Impact 0.1 (CiteScore) | Online ISSN  2207-872X
REVIEWS   (Open Access)

Epidermal Growth Factor Receptor and Double-Imprinted Nanoparticles for Targeted Cancer Drug Delivery - A Review

Lakhan Lal Kashyap 1, Harish Jaiswal 2

+ Author Affiliations

Journal of Angiotherapy 7(2) 1-8 https://doi.org/10.25163/angiotherapy.729408

Submitted: 09 November 2023  Revised: 14 December 2023  Published: 17 December 2023 

A targeted drug delivery approach, using double-imprinted nanoparticles and EGFR-SVM, to enhance anticancer drug effectiveness selectively in tumor cells.

Abstract


The Epidermal Growth Factor Receptor (EGFR) plays a crucial role in maintaining tissue balance, but in conditions like tumors or lung and skin cancer, it acts as a driver for cancer development. Nanoparticles are effective tools for delivering medications to tumor cells while minimizing drug impact on healthy cells. A potent therapeutic approach involves using nanoparticles with tumor-specific ligands for cancer treatment. This review study focuses on double-imprinted nanoparticles, synthesized to target the estrogen alpha cancer cell receptor's linear epitope and loaded with an anti-cancer drug. The challenge in cancer therapy is delivering drugs specifically to cancer cells without causing adverse effects on healthy cells. Advanced high-throughput technologies generate genomic and epigenomic data, and Support Vector Machine (SVM) classification in cancer genomics identifies new indicators, drug targets, and cancer transport genetics. The EGFR-SVM approach is designed to enhance the selectivity and reduce the toxicity of cytotoxic drugs by targeting cancer cells more specifically. Targeted treatment involves interfering with specific proteins that promote tumor growth and spread, and the study demonstrates a molecularly targeted drug delivery method for efficiently and selectively targeting anticancer drugs to tumor cells overexpressing EGFR. This approach has the potential to improve the therapeutic effectiveness of existing anticancer drugs.

Keywords: Support Vector Machine, Epidermal Growth Factor Receptor, Cancer, Drug Delivery.

References


Canfarotta, F., Lezina, L., Guerreiro, A., Czulak, J., Petukhov, A., Daks, A., & Barlev, N. A. (2018). Specific drug delivery to cancer cells with double-imprinted nanoparticles against epidermal growth factor receptor. Nano letters, 18(8), 4641-4646.

Canfarotta, F., Lezina, L., Guerreiro, A., Czulak, J., Petukhov, A., Daks, A., ... & Barlev, N. A. (2018). Specific drug delivery to cancer cells with double-imprinted nanoparticles against epidermal growth factor receptor. Nano letters, 18(8), 4641-4646.

Cherkasov, V. R., Mochalova, E. N., Babenyshev, A. V., Rozenberg, J. M., Sokolov, I. L., & Nikitin, M. P. (2020). Antibody-directed metal-organic framework nanoparticles for targeted drug delivery. Acta Biomaterialia, 103, 223-236.

Feger, G., Angelov, B., & Angelova, A. (2020). Prediction of amphiphilic cell-penetrating peptide building blocks from protein-derived amino acid sequences for engineering of drug delivery nanoassemblies. The Journal of Physical Chemistry B, 124(20), 4069-4078.

Harrison, P. T., Vyse, S., & Huang, P. H. (2020). Rare epidermal growth factor receptor (EGFR) mutations in non-small cell lung cancer. In Seminars in cancer biology, 61, 167-179. Academic Press.

https://datasetsearch.research.google.com/search?src=0&query=nanoparticles%20for%20targeted%20cancer%20drug%20delivery&docid=L2cvMTFqY2tqNjA2MA%3D%3D

Huang, C. H., Chuang, T. J., Ke, C. J., & Yao, C. H. (2020). Doxorubicin–gelatin/Fe3O4–alginate dual-layer magnetic nanoparticles as targeted anticancer drug delivery vehicles. Polymers, 12(8), 1747.

Kassem, S., Piletsky, S. S., Yesilkaya, H., Gazioglu, O., Habtom, M., Canfarotta, F., & Piletsky, S. A. (2022). Assessing the in vivo biocompatibility of molecularly imprinted polymer nanoparticles. Polymers, 14(21), 4582.

Lakhan Lal Kashyap led the development of double-imprinted nanoparticles and their synthesis against the estrogen alpha cancer cell receptor, focusing on drug-loaded nanoparticle production. Harish Jaiswal spearheaded the integration of EGFR-SVM, utilizing high-throughput genomic and epigenomic data for a molecularly targeted drug delivery strategy in cancer treatment.

Liu, H., Deng, Z., Bu, J., Zhang, Y., Zhang, Z., He, Y., & Zhong, S. (2021). Capsule-like molecular imprinted polymer nanoparticles for targeted and chemophotothermal synergistic cancer therapy. Colloids and Surfaces B: Biointerfaces, 208, 112126.

Liu, H., Deng, Z., Bu, J., Zhang, Y., Zhang, Z., He, Y., & Zhong, S. (2021). Capsule-like molecular imprinted polymer nanoparticles for targeted and chemophotothermal synergistic cancer therapy. Colloids and Surfaces B: Biointerfaces, 208, 112126.

Liu, R., & Poma, A. (2021). Advances in molecularly imprinted polymers as drug delivery systems. Molecules, 26(12), 3589.

Meenakshi, D. U., Nandakumar, S., Francis, A. P., Sweety, P., Fuloria, S., Fuloria, N. K., ... & Khan, S. A. (2022). Deep Learning and Site-Specific Drug Delivery: The Future and Intelligent Decision Support for Pharmaceutical Manufacturing Science. Deep Learning for Targeted Treatments: Transformation in Healthcare, 1-38.

Piletsky, S., Canfarotta, F., Poma, A., Bossi, A. M., & Piletsky, S. (2020). Molecularly imprinted polymers for cell recognition. Trends in biotechnology, 38(4), 368-387.

Qin, Y. T., Feng, Y. S., Ma, Y. J., He, X. W., Li, W. Y., & Zhang, Y. K. (2020). Tumor-sensitive biodegradable nanoparticles of molecularly imprinted polymer-stabilized fluorescent zeolitic imidazolate framework-8 for targeted imaging and drug delivery. ACS applied materials & interfaces, 12(22), 24585-24598.

Qin, Y. T., Peng, H., He, X. W., Li, W. Y., & Zhang, Y. K. (2019). Highly effective drug delivery and cell imaging using fluorescent double-imprinted nanoparticles by targeting recognition of the epitope of membrane protein. Analytical chemistry, 91(20), 12696-12703.

Reference:

Sabbah, D. A., Hajjo, R., & Sweidan, K. (2020). Review on epidermal growth factor receptor (EGFR) structure, signaling pathways, interactions, and recent updates of EGFR inhibitors. Current topics in medicinal chemistry.

Shevchenko, K. G., Garkushina, I. S., Canfarotta, F., Piletsky, S. A., & Barlev, N. A. (2022). Nano-molecularly imprinted polymers (nanoMIPs) as a novel approach to targeted drug delivery in nanomedicine. RSC advances, 12(7), 3957-3968.

Singla, P., Broughton, T., Sullivan, M. V., Garg, S., Palmini, R. B., Gupta, P., & Peeters, M. (2023). Double Imprinted Nanoparticles for Sequential Membrane-to-Nuclear Drug Delivery. bioRxiv, 2023-07.

Wang, H. Y., Cao, P. P., He, Z. Y., He, X. W., Li, W. Y., Li, Y. H., & Zhang, Y. K. (2019). Targeted imaging and targeted therapy of breast cancer cells via fluorescent double template-imprinted polymer coated silicon nanoparticles by an epitope approach. Nanoscale, 11(36), 17018-17030.

Wang, H. Y., Cao, P. P., He, Z. Y., He, X. W., Li, W. Y., Li, Y. H., & Zhang, Y. K. (2019). Targeted imaging and targeted therapy of breast cancer cells via fluorescent double template-imprinted polymer coated silicon nanoparticles by an epitope approach. Nanoscale, 11(36), 17018-17030.

Yuan, X. Y., Hua, Y., Aubry, N., Zhussupbekov, M., Antaki, J. F., Zhou, Z. F., & Peng, J. Z. (2022). Real-time prediction of transarterial drug delivery based on a deep convolutional neural network. Applied Sciences, 12(20), 10554.

Yuksel, N., & Tektas, S. (2022). Molecularly imprinted polymers: preparation, characterisation, and application in drug delivery systems. Journal of Microencapsulation, 39(2), 176-196.

Zaidi, S. A. (2020). Molecular imprinting: A useful approach for drug delivery. Materials Science for Energy Technologies, 3, 72-77.

Zheng, N., Yao, Z., Tao, S., Almadhor, A., Alqahtani, M. S., Ghoniem, R. M., ... & Li, S. (2023). Application of nanotechnology in breast cancer screening under obstetrics and gynecology through the use of CNN and ANFIS. Environmental Research, 234, 116414.

Committee on Publication Ethics

Buy PDF
Full Text
Export Citation

View Dimensions


View Plumx



View Altmetric



0
Save
0
Citation
196
View
0
Share