Literature DB >> 33546290

Recent Advances in Nanotechnology for the Treatment of Melanoma.

Roberta Cassano1, Massimo Cuconato1, Gabriella Calviello2,3, Simona Serini2,3, Sonia Trombino1.   

Abstract

Melanoma is one of the most aggressive forms of skin cancer, with few possibilities for therapeutic approaches, due to its multi-drug resistance and, consequently, low survival rate for patients. Conventional therapies for treatment melanoma include radiotherapy, chemotherapy, targeted therapy, and immunotherapy, which have various side effects. For this reason, in recent years, pharmaceutical and biomedical research has focused on new sito-specific alternative therapeutic strategies. In this regard, nanotechnology offers numerous benefits which could improve the life expectancy of melanoma patients with very low adverse effects. This review aims to examine the latest advances in nanotechnology as an innovative strategy for treating melanoma. In particular, the use of different types of nanoparticles, such as vesicles, polymers, metal-based, carbon nanotubes, dendrimers, solid lipid, microneedles, and their combination with immunotherapies and vaccines will be discussed.

Entities:  

Keywords:  immunotherapy; melanoma; nanomaterials; nanotechnology; polymers; target therapy

Mesh:

Substances:

Year:  2021        PMID: 33546290      PMCID: PMC7913377          DOI: 10.3390/molecules26040785

Source DB:  PubMed          Journal:  Molecules        ISSN: 1420-3049            Impact factor:   4.411


  97 in total

Review 1.  How sunlight causes melanoma.

Authors:  Lilit Garibyan; David E Fisher
Journal:  Curr Oncol Rep       Date:  2010-09       Impact factor: 5.075

Review 2.  Dendrimers in biomedical applications--reflections on the field.

Authors:  Sönke Svenson; Donald A Tomalia
Journal:  Adv Drug Deliv Rev       Date:  2005-11-21       Impact factor: 15.470

3.  Redox-responsive interleukin-2 nanogel specifically and safely promotes the proliferation and memory precursor differentiation of tumor-reactive T-cells.

Authors:  Yu-Qing Xie; Hacer Arik; Lixia Wei; Yiran Zheng; Heikyung Suh; Darrell J Irvine; Li Tang
Journal:  Biomater Sci       Date:  2019-03-26       Impact factor: 6.843

4.  Chitosan-coated liposomes to stabilize and enhance transdermal delivery of indocyanine green for photodynamic therapy of melanoma.

Authors:  Eun-Hye Lee; Soo-Jeong Lim; Mi-Kyung Lee
Journal:  Carbohydr Polym       Date:  2019-08-02       Impact factor: 9.381

5.  Combination of ω-3 fatty acids and cisplatin as a potential alternative strategy for personalized therapy of metastatic melanoma: an in-vitro study.

Authors:  Renata Ottes Vasconcelos; Simona Serini; Ana Paula de Souza Votto; Gilma Santos Trindade; Caterina Fanali; Alessandro Sgambato; Gabriella Calviello
Journal:  Melanoma Res       Date:  2019-06       Impact factor: 3.599

6.  A peptide-modified solid lipid nanoparticle formulation of paclitaxel modulates immunity and outperforms dacarbazine in a murine melanoma model.

Authors:  Indranil Banerjee; Manjarika De; Goutam Dey; Rashmi Bharti; Sankha Chattopadhyay; Nahid Ali; Partha Chakrabarti; Rui L Reis; Subhas C Kundu; Mahitosh Mandal
Journal:  Biomater Sci       Date:  2019-02-26       Impact factor: 6.843

Review 7.  Toward a full understanding of the EPR effect in primary and metastatic tumors as well as issues related to its heterogeneity.

Authors:  Hiroshi Maeda
Journal:  Adv Drug Deliv Rev       Date:  2015-01-09       Impact factor: 15.470

Review 8.  Treatment patterns of advanced malignant melanoma (stage III-IV) - A review of current standards in Europe.

Authors:  Mark Harries; Josep Malvehy; Céleste Lebbe; Louise Heron; Justyna Amelio; Zsolt Szabo; Dirk Schadendorf
Journal:  Eur J Cancer       Date:  2016-04-22       Impact factor: 9.162

9.  NKTR-214, an Engineered Cytokine with Biased IL2 Receptor Binding, Increased Tumor Exposure, and Marked Efficacy in Mouse Tumor Models.

Authors:  Deborah H Charych; Ute Hoch; John L Langowski; Steve R Lee; Murali K Addepalli; Peter B Kirk; Dawei Sheng; Xiaofeng Liu; Paul W Sims; Laurie A VanderVeen; Cherie F Ali; Thomas K Chang; Marina Konakova; Rhoneil L Pena; Rupesh S Kanhere; Yolanda M Kirksey; Chunmei Ji; Yujun Wang; Jicai Huang; Theresa D Sweeney; Seema S Kantak; Stephen K Doberstein
Journal:  Clin Cancer Res       Date:  2016-02-01       Impact factor: 12.531

10.  Antiproliferative and Antitumour Effect of Nongenotoxic Silver Nanoparticles on Melanoma Models.

Authors:  Lucía M Valenzuela-Salas; Nayeli G Girón-Vázquez; Juan C García-Ramos; Olivia Torres-Bugarín; Claudia Gómez; Alexey Pestryakov; Luis J Villarreal-Gómez; Yanis Toledano-Magaña; Nina Bogdanchikova
Journal:  Oxid Med Cell Longev       Date:  2019-07-25       Impact factor: 6.543

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  6 in total

1.  InSiNet: a deep convolutional approach to skin cancer detection and segmentation.

Authors:  Hatice Catal Reis; Veysel Turk; Kourosh Khoshelham; Serhat Kaya
Journal:  Med Biol Eng Comput       Date:  2022-01-13       Impact factor: 2.602

2.  Synthesis of novel isoxazole-carboxamide derivatives as promising agents for melanoma and targeted nano-emulgel conjugate for improved cellular permeability.

Authors:  Mohammed Hawash; Nidal Jaradat; Ahmad M Eid; Ahmad Abubaker; Ola Mufleh; Qusay Al-Hroub; Shorooq Sobuh
Journal:  BMC Chem       Date:  2022-06-24

3.  DIRAS2 Is a Prognostic Biomarker and Linked With Immune Infiltrates in Melanoma.

Authors:  Wenli Xue; Hongbo Zhu; Hongye Liu; Hongxia He
Journal:  Front Oncol       Date:  2022-05-16       Impact factor: 5.738

4.  A Small Peptide Increases Drug Delivery in Human Melanoma Cells.

Authors:  Shirley Tong; Shaban Darwish; Hanieh Hossein Nejad Ariani; Kate Alison Lozada; David Salehi; Maris A Cinelli; Richard B Silverman; Kamaljit Kaur; Sun Yang
Journal:  Pharmaceutics       Date:  2022-05-11       Impact factor: 6.525

Review 5.  Anticancer Properties of Eugenol: A Review.

Authors:  Ali T Zari; Talal A Zari; Khalid Rehman Hakeem
Journal:  Molecules       Date:  2021-12-06       Impact factor: 4.411

Review 6.  Analysis of Skin Cancer and Patient Healthcare Using Data Mining Techniques.

Authors:  N Arivazhagan; M A Mukunthan; D Sundaranarayana; A Shankar; S Vinoth Kumar; R Kesavan; Saravanan Chandrasekaran; M Shyamala Devi; K Maithili; U Barakkath Nisha; Tewodros Getinet Abebe
Journal:  Comput Intell Neurosci       Date:  2022-09-26
  6 in total

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