The Wnt/β-catenin signaling pathway plays crucial roles in embryonic development and the development of multiple types of cancer, and its aberrant activation provides cancer cells with escape mechanisms from immune checkpoint inhibitors. E7386, an orally active selective inhibitor of the interaction between β-catenin and CREB binding protein, which is part of the Wnt/β-catenin signaling pathway, disrupts the Wnt/β-catenin signaling pathway in HEK293 and adenomatous polyposis coli (APC)-mutated human gastric cancer ECC10 cells. It also inhibited tumor growth in an ECC10 xenograft model and suppressed polyp formation in the intestinal tract of ApcMin/+ mice, in which mutation of Apc activates the Wnt/β-catenin signaling pathway. E7386 demonstrated antitumor activity against mouse mammary tumors developed in mouse mammary tumor virus (MMTV)-Wnt1 transgenic mice. Gene expression profiling using RNA sequencing data of MMTV-Wnt1 tumor tissue from mice treated with E7386 showed that E7386 downregulated genes in the hypoxia signaling pathway and immune responses related to the CCL2, and IHC analysis showed that E7386 induced infiltration of CD8+ cells into tumor tissues. Furthermore, E7386 showed synergistic antitumor activity against MMTV-Wnt1 tumor in combination with anti-PD-1 antibody. In conclusion, E7386 demonstrates clear antitumor activity via modulation of the Wnt/β-catenin signaling pathway and alteration of the tumor and immune microenvironments, and its antitumor activity can be enhanced in combination with anti-PD-1 antibody.
Significance:
These findings demonstrate that the novel anticancer agent, E7386, modulates Wnt/β-catenin signaling, altering the tumor immune microenvironment and exhibiting synergistic antitumor activity in combination with anti-PD-1 antibody.
Conformationally restricted peptidomimetics comprising eight stereoisomeric scaffolds with three-dimensional structural diversity were designed based on the structural features of cyclopropane, that is, cyclopropylic strain, which mimic wide-ranging tetrapeptide conformations covering β-turns through β-strands. Stereoselective synthesis of the designed peptidomimetics led to the identification of nonpeptidic melanocortin-4 receptor ligands.
In a previous Method Article, we have presented the ‘Structure-Activity Relationship (SAR) Matrix’ (SARM) approach. The SARM methodology is designed to systematically extract structurally related compound series from screening or chemical optimization data and organize these series and associated SAR information in matrices reminiscent of R-group tables. SARM calculations also yield many virtual candidate compounds that form a “chemical space envelope” around related series. To further extend the SARM approach, different methods are developed to predict the activity of virtual compounds. In this follow-up contribution, we describe an activity prediction method that derives conditional probabilities of activity from SARMs and report representative results of first prospective applications of this approach.
Substrate specificities of proteases produced by two putrefactive marine bacteria, Shewanella putrefaciens and Alteromonas haloplanktis, were surveyed by using peptidyl‐7‐amino‐4‐methylcoumarin (MCA‐substrates). Shewanella putrefaciens produced trypsin‐like enzyme(s) showing broad spectrum specificity and chymotrypsin‐like enzyme specifically hydrolysing Glt‐Gly‐Gly‐Phe‐MCA. Alteromonas haloplanktis produced high activity of ammopeptidase and trypsin‐like enzyme(s) preferring Z‐Phe‐Arg‐MCA, Bz‐Arg‐MCA and Boc‐Leu‐Ser‐Thr‐Arg‐MCA. The two organisms would be able to utilize different proteins for their growth.
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