JOURNAL ARTICLE

Ruthenium complexes for breast cancer therapy.

  • Published In: Reviews in Inorganic Chemistry, 2024, v. 44, n. 2. P. 191 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Sadique, Shaheen; Baqer, Abeer Ameen; Salman, Abbas Washeel; Iqbal, Muhammad Adnan; Kadim, Mustafa M.; Jamil, Faisal; Majeed, Adnan; Manahil, Shaista; Altaf, Areeba 3 of 3

Abstract

Breast cancer cells have long been inhibited by polypyridine Ru(II) complexes, which are excellent antitumor agents. Due to their multi-targeting properties, this class of ruthenium complexes has received increasing attention as anticancer drug candidates approach to various cellular targets. The aim of this review is to give information about the ligands that were carefully chosen for ruthenium complexes. There has been a great deal of interest in using ruthenium-based complexes to treat breast cancer. Several species have shown potential as treatment candidates. However, further research is needed to determine how these agents affect the metastatic potential of breast cancer cells. The mechanism of action of Ru-based anticancer candidates NAMI-A and KP1019 during phase I clinical trials has been discussed. This article explains hormone-positive breast cancer and triple-negative breast-cancer treatment by using Ru complexes. Although platinum (Pt-based) anticancer medication is widely used in cancer treatment, a minor improvement has been seen and that is Platinum replaced with Ruthenium for its anticancer properties. We have also highlighted the best effective ruthenium-based complexes in treating T.N.B.C. (triple-negative breast cancer) here in this collection. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Reviews in Inorganic Chemistry. 2024/06, Vol. 44, Issue 2, p191
  • Document Type:Article
  • Subject Area:Chemistry
  • Publication Date:2024
  • ISSN:0193-4929
  • DOI:10.1515/revic-2023-0010
  • Accession Number:177567701
  • Copyright Statement:Copyright of Reviews in Inorganic Chemistry is the property of De Gruyter and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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