Decision making for promising quinoline‐based anticancer agents through combined methodology

Abstract

During the development of effective drugs for the treatment of cancer, one of the most important tasks is to identify effective drug candidates having maximum antiproliferation and minimum side effects. This paper considers the problem of selecting the most promising anticancer agents, showing inhibition at low IC50 concentration and low releasing lactate dehydrogenase percentage (cytotoxicity). Recently, we prepared quinoline analogs bearing different functional groups and determined their anticancer potential against the HeLa, C6, and HT29 cancer cell lines using different anticancer assays. Experimentally, seven quinoline derivatives consisting of different substituents were determined as promising anticancer agents. We propose a multicriteria recommendation method to identify the most promising anticancer agents against all tested cell lines with an accurate prediction algorithm according to the available input data. A multicriteria decision‐making methodology (MCDM) was used for the solution of the relevant problem in this study. Both the experimental results and MCDM method indicated that 5,7‐dibromo‐8‐hydroxyquinoline (2) and 6,8‐dibromo‐1,2,3,4‐tetrahydroquinoline (6) are the most promising anticancer agents against the HeLa, HT29, and C6 cell lines.

In–Vitro Anticancer and Antibacterial Activities of Brominated Indeno[1,2‐b]qinoline Amines Supported with Molecular Docking and MCDM**

“…In that study, MCDM results were both consistent with experimental results and suggested that two brominated quinolines can be promising anticancer agent against HeLa, HT29 and C6 cell lines and used in further anticancer preclinic studies. [28] The consistent and effective results obtained in this study [28] motivated us to apply combined MCDM approach for the brominated indeno [1,2-b] quinoline amines in terms of some evaluation criteria. Five parameters of bioactive brominated indeno [1,2-b]quinoline 6, were determined by a decision maker as the key criteria for determining promising anticancer agents against the A549, HeLa, Hep3B and MCF7 cancer cell lines.…”

“…In our recent study, the AHP-TOPSIS combination has been used for identifying the most promising anticancer agents against HeLa, HT29 and C6 cell lines with an accurate prediction approach for the first time of the literature. [28] In this study, the effects of seven promising anticancer quinoline compounds on three different types of cancer cell lines were evaluated according to four criteria (IC 50 value, LDH cytotoxicity, DNA laddering feature for apoptosis and topoisomerase I enzyme inhibition) by MCDM. In that study, MCDM results were both consistent with experimental results and suggested that two brominated quinolines can be promising anticancer agent against HeLa, HT29 and C6 cell lines and used in further anticancer preclinic studies.…”

“…In this framework, the ability to make a correct and fast decision can be considered within the scope of multi-criteria decision problems in the literature. [27][28] Therefore, it would be appropriate to use the multi-criteria decision making (MCDM) methodology for the solution of the relevant problem. MCDM methodology includes methods that aim to reach the best / most appropriate solution among the alternatives under the influence of the determined evaluation criteria.…”

Covid-19 Takibinde Giyilebilir Sağlık Teknolojilerinin ÇKKV Yöntemleri ile Değerlendirilmesi

“…[8] kronik rahatsızlığı olan kişiler için sanal bakımın önemini anlatırken Sun vd. [9] Mobil sağlık platformu üzerinden Covid- 19 Literatürdeki karar problemlerinde ise etkin sonuçların bulunmasını sağlayan ÇKKV yöntemleri ile anti-kanser ajanı [18], insansız hava araçları [19], medikal cihaz [20], ekipman [21,22], makine [23] ve proje [24]…”

Enerji Üretim Yatırım Alternatiflerinin Değerlendirilmesinde Çok Kriterli Karar Verme Yöntemlerinin İstatistiksel ve Analitik Olarak Karşılaştırması: Türkiye Örneği

“…Çünkü uygulama aşamaları anlaşılır, kısa süreli ve kolay olan bu yöntemler, karar sürecini probleme etki eden tüm parametrelerin dikkate alınmasını sağlayarak yapılandırmakta, karar vericilerin ölçülemeyen düşüncelerini de probleme yansıtmaya olanak sağlamakta ve bu sayede kabul edilebilir ve gerçek hayatla tutarlı sonuçlar vermektedir [3]. Bu doğrultuda, problemlerin bu yapıda olduğu sağlık [4,5], ulaşım [6,7], bakım [8], tedarik [9,10] ve enerji [11] gibi birçok farklı alanlarda da çok kriterli karar verme yöntemlerine başvurulduğu akademik çalışma ile de kanıtlanmıştır. Belirtilen bu avantajları sebebiyle, enerji kaynak alternatiflerinin karşılaştırılması için literatürde çok kriterli karar verme yöntemleri Çizelge 1.…”