Macrocyclic triamine
disulfonamides can be synthesized by double
Tsuji–Trost N-allylation reaction of open-chain
disulfonamides with 2-alkylidene-1,3-propanediyl bis(carbonates).
The previously used Atkins–Richman macrocyclization method
generally gives lower yields and requires more tedious purification
of the product. Solvent, palladium source, ligand, and concentration
have all been varied to optimize the yields of two key 12-membered
ring bioactive compounds, CADA and VGD020. The new approach tolerates
a wide range of functional groups and gives highest yields for symmetrical
compounds in which the acidities of the two sulfonamide groups are
matched, although the yields of unsymmetrical compounds are still
generally good. The method has also been extended to the synthesis
of 11-membered rings, pyridine-fused macrocycles, and products bearing
an ester or aryl substituent on the exocyclic double bond.
Cyclotriazadisulfonamide
(CADA) compounds selectively down-modulate
two human proteins of potential therapeutic interest, cluster of differentiation
4 (CD4) and sortilin. Progranulin is secreted from some breast cancer
cells, causing dedifferentiation of receiving cancer cells and cancer
stem cell proliferation. Inhibition of progranulin binding to sortilin,
its main receptor, can block progranulin-induced metastatic breast
cancer using a triple-negative in vivo xenograft model. In the current
study, seven CADA compounds (CADA, VGD020, VGD071, TL020, TL023, LAL014,
and DJ010) were examined for reduction of cellular sortilin expression
and progranulin-induced breast cancer stem cell propagation. In addition,
inhibition of progranulin-induced mammosphere formation was examined
and found to be most significant for TL020, TL023, VGD071, and LAL014.
Full experimental details are given for the synthesis and characterization
of the four new compounds (TL020, TL023, VGD071, and DJ010). Comparison
of solubilities, potencies, and cytotoxicities identified VGD071 as
a promising candidate for future studies using mouse breast cancer
models.
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