PMID- 32407595
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20231130
IS  - 1099-0461 (Electronic)
IS  - 1095-6670 (Linking)
VI  - 34
IP  - 9
DP  - 2020 Sep
TI  - Decision making for promising quinoline-based anticancer agents through combined 
      methodology.
PG  - e22522
LID - 10.1002/jbt.22522 [doi]
AB  - 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 IC(50) 
      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.
CI  - (c) 2020 Wiley Periodicals LLC.
FAU - Ozcan, Evrencan
AU  - Ozcan E
AUID- ORCID: 0000-0002-3662-6190
AD  - Department of Industrial Engineering, Faculty of Engineering, Kirikkale 
      University, Yahsihan, Kirikkale, Turkey.
FAU - Okten, Salih
AU  - Okten S
AUID- ORCID: 0000-0001-9656-1803
AD  - Division of Science Education, Department of Mathematics and Science Education, 
      Faculty of Education, Kirikkale University, Yahsihan, Kirikkale, Turkey.
FAU - Eren, Tamer
AU  - Eren T
AUID- ORCID: 0000-0001-5282-3138
AD  - Department of Industrial Engineering, Faculty of Engineering, Kirikkale 
      University, Yahsihan, Kirikkale, Turkey.
LA  - eng
PT  - Journal Article
DEP - 20200514
PL  - United States
TA  - J Biochem Mol Toxicol
JT  - Journal of biochemical and molecular toxicology
JID - 9717231
SB  - IM
OTO - NOTNLM
OT  - IC50
OT  - LDH
OT  - anticancer effect
OT  - multicriteria decision making
OT  - quinoline
EDAT- 2020/05/15 06:00
MHDA- 2020/05/15 06:01
CRDT- 2020/05/15 06:00
PHST- 2020/03/16 00:00 [revised]
PHST- 2019/10/30 00:00 [received]
PHST- 2020/04/27 00:00 [accepted]
PHST- 2020/05/15 06:01 [medline]
PHST- 2020/05/15 06:00 [pubmed]
PHST- 2020/05/15 06:00 [entrez]
AID - 10.1002/jbt.22522 [doi]
PST - ppublish
SO  - J Biochem Mol Toxicol. 2020 Sep;34(9):e22522. doi: 10.1002/jbt.22522. Epub 2020 
      May 14.