jm7b01781_si_007.xls (161.5 kB)
Download fileTargeting Multiple Effector Pathways in Pancreatic Ductal Adenocarcinoma with a G‑Quadruplex-Binding Small Molecule
dataset
posted on 2018-01-22, 00:00 authored by Chiara Marchetti, Katherine G. Zyner, Stephan A. Ohnmacht, Mathew Robson, Shozeb M. Haider, Jennifer P. Morton, Giovanni Marsico, Tam Vo, Sarah Laughlin-Toth, Ahmed A. Ahmed, Gloria Di Vita, Ingrida Pazitna, Mekala Gunaratnam, Rachael J. Besser, Ana C. G. Andrade, Seckou Diocou, Jeremy A. Pike, David Tannahill, R. Barbara Pedley, T. R. Jeffry Evans, W. David Wilson, Shankar Balasubramanian, Stephen NeidleHuman pancreatic ductal adenocarcinoma
(PDAC) involves the dysregulation
of multiple signaling pathways. A novel approach to the treatment
of PDAC is described, involving the targeting of cancer genes in PDAC
pathways having over-representation of G-quadruplexes, using the trisubstituted
naphthalene diimide quadruplex-binding compound 2,7-bis(3-morpholinopropyl)-4-((2-(pyrrolidin-1-yl)ethyl)amino)benzo[lmn][3,8]phenanthroline-1,3,6,8(2H,7H)-tetraone (CM03). This compound has been designed by computer
modeling, is a potent inhibitor of cell growth in PDAC cell lines,
and has anticancer activity in PDAC models, with a superior profile
compared to gemcitabine, a commonly used therapy. Whole-transcriptome
RNA-seq methodology has been used to analyze the effects of this quadruplex-binding
small molecule on global gene expression. This has revealed the down-regulation
of a large number of genes, rich in putative quadruplex elements and
involved in essential pathways of PDAC survival, metastasis, and drug
resistance. The changes produced by CM03 represent a global response
to the complexity of human PDAC and may be applicable to other currently
hard-to-treat cancers.
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quadruplex elementsMolecule Human pancreatic ductal adenocarcinomaanticancer activityPDAC pathwaysPDAC modelshard-to-treat cancersgene expressionCM 03PDAC cell linesTargeting Multiple Effector Pathwayscell growthdrug resistancenovel approachWhole-transcriptome RNA-seq methodologycomputer modelingPancreatic Ductal AdenocarcinomaPDAC survivalcancer genes