Evidence map›Paper›PMID 41671433›Full record

ArticleJournal of the American Chemical Society2026

Development of Prostate-Specific Lysosome-Targeting Degraders.

Deqin Cai, Xuankun Chen, Yaxian Zhou, Malick Bio Idrissou, Reinier Hernandez, Weiping Tang

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2026. 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

6 authors.

Deqin CaiLachman Institute of Pharmaceutical Development, School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States.ORCID 0000-0002-3143-2362
Xuankun ChenLachman Institute of Pharmaceutical Development, School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States.
Yaxian ZhouLachman Institute of Pharmaceutical Development, School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States.
Malick Bio IdrissouDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin 53705, United States.
Reinier HernandezDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin 53705, United States.ORCID 0000-0002-0729-2179
Weiping TangLachman Institute of Pharmaceutical Development, School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States.ORCID 0000-0002-0039-3196

Funding

Chemical Synthesis and Biological Application of Carbohydrates and Glycoconjugates - Admin SupplementR35GM148266 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI Weiping Tang · 2023 to 2026
$1.8M
NIGMS NIH HHS R35 GM148266
6 · The paper itself

Abstract

Targeted protein degradation (TPD) technologies have emerged as transformative therapeutic modality for treating cancers and other diseases. While significant progress has been achieved in intracellular protein degradation, degradation of membrane proteins and extracellular targets remains in an early stage. In this study, we developed a prostate-specific lysosome-targeting degradation strategy using a prostate-specific membrane antigen (PSMA) as a lysosome-targeting receptor (LTR). We demonstrated that both extracellular and membrane proteins can be selectively degraded in prostate cancer cells via the lysosome pathway. These PSMA TArgeting Chimeras (PTACs) were shown to facilitate lysosomal degradation in a selective, potent, rapid, and sustained manner. Notably,

Identifiers

PMID41671433
PMCPMC12951434

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.