Evidence map›Paper›PMID 39956770›Full record

ArticleThe Prostate2025

In Vivo Efficacy of a Macrocyclic Peptoid-Peptide Hybrid That Selectively Modulates the Beta-Catenin/TCF Interaction to Inhibit Prostate Cancer.

Justine Habault, Jennifer L Franco, Susan Ha, Jeffry A Schneider, Maud Voisin, David R Wise, Kwok-Kin Wong, Michael J Garabedian, Kent Kirshenbaum, Susan K Logan

Abstract read
In one paragraph

Article in The Prostate, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Justine HabaultDepartment of Microbiology, NYU Grossman School of Medicine, New York, New York, USA.
Jennifer L FrancoChemistry Department, New York University, New York, New York, USA.
Susan HaDepartment of Urology, NYU Grossman School of Medicine, New York, New York, USA.
Jeffry A SchneiderDepartment of Urology, NYU Grossman School of Medicine, New York, New York, USA.
Maud VoisinDepartment of Microbiology, NYU Grossman School of Medicine, New York, New York, USA.
David R WiseDepartment of Medicine, Perlmutter Cancer Center, NYU Grossman School of Medicine, New York, New York, USA.
Kwok-Kin WongDepartment of Medicine, Perlmutter Cancer Center, NYU Grossman School of Medicine, New York, New York, USA.
Michael J GarabedianDepartment of Microbiology, NYU Grossman School of Medicine, New York, New York, USA.
Kent KirshenbaumChemistry Department, New York University, New York, New York, USA.
Susan K LoganDepartment of Urology, NYU Grossman School of Medicine, New York, New York, USA.ORCID 0000-0002-7904-5927

Funding

Macrocycle inhibition of beta-catenin mediated transcription in prostate cancerR01CA285624 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Susan K. Logan · 2024 to 2026
$3.4M
Suppression of Prostate CancerR21CA262963 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LOGAN, SUSAN K. · 2022 to 2023
$430k
NCI NIH HHS R01 CA285624NCI NIH HHS R21 CA262963Research reported in this publication was supported by the National Cancer Institute of the National Institutes of Health under Award Numbers R21CA262963 and R01CA285624 (SKL) and the National Science Foundation under award number CHE-2002890 (KK). The data that support the findings of this study are available from the corresponding author upon reasonable request.
6 · The paper itself

Abstract

backgroundProstate cancer is the most common form of male cancer and can initially be treated as a localized disease. Although the 5-year survival rate at diagnosis approaches 100 percent, a subset of patients will subsequently develop resistance to treatment. This may ultimately lead to metastatic castration resistant prostate cancer (mCRPC), for which the prognosis is much less favorable. The importance of the Wnt/β-catenin pathway in treatment-resistant prostate cancer has inspired efforts to exploit the interaction of β-catenin with its transcription binding partners as a therapeutic strategy for prostate cancer.

methodsPeptoid-peptide macrocycles are attractive design scaffolds for disrupting protein-protein interactions. In this study, we evaluate a library of these macrocycles and demonstrate their selectivity for the β-catenin/TCF (T Cell Factor) interaction.

resultsImportantly, we show that the macrocycles do not significantly alter the binding of β-catenin to cell surface protein, E-cadherin. Our lead sequence, Macrocycle 13, (MC13) was also tolerant of modifications aimed to improve aqueous solubility while retaining activity. Herein, we demonstrate in vivo proof of principle for using peptidomimetic macrocycles to target the β-catenin/TCF interaction. Treated prostate cancer mouse xenografts show markedly diminished tumor growth and decreased levels of myc protein. MC13 also inhibits growth in an organoid model with genetic alterations frequently found in prostate cancer. Transcriptome analysis of prostate cancer cells treated with MC13 reveals downregulation of key pathways, including Wnt/β-catenin and c-myc. Furthermore, chromatin immunoprecipitation (ChIP) analysis shows reduced β-catenin at its target genes, axin2 and c-myc.

conclusionOur findings underscore the therapeutic potential of peptoid-peptide macrocycle inhibition of β-catenin in prostate cancer.

Indexed as

beta CateninPeptidesPeptoidsProstatic NeoplasmsProstatic Neoplasms, Castration-ResistantTCF Transcription FactorsAnimalsCell Line, TumorHumansMaleMiceWnt Signaling PathwayXenograft Model Antitumor Assaysbeta CateninPeptidesPeptoidsTCF Transcription Factorsanti‐canceroligomerpeptidomimeticprotein‐protein interactionWnt signaling

Identifiers

PMID39956770
PMCPMC12724628

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.