Evidence map›Paper›PMID 41348877›Full record

ArticleScience advances2025

Tumor microenvironment-targeted PROTAC nanoparticle self-assembly broadly predicted by structural descriptors.

Kristen C Vogt, Magdalini Panagiotakopoulou, Mandana T Manzari Honu, Ana Marie Perea, Xiaoping Hu, Xufen Yu, Raashed Raziuddin, Quincey LaPlant, Stephen Ruiz, G Praveen Raju and 3 more

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Supramolecular Degraders: An Emerging Paradigm in Targeted Protein Degradation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. Review
  4. Article
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

13 authors.

Kristen C VogtMemorial Sloan Kettering Cancer Center, New York, NY 10065, USA.ORCID 0000-0001-5404-3442
Magdalini PanagiotakopoulouMemorial Sloan Kettering Cancer Center, New York, NY 10065, USA.ORCID 0000-0001-6293-4579
Mandana T Manzari HonuMemorial Sloan Kettering Cancer Center, New York, NY 10065, USA.ORCID 0000-0002-1163-9649
Ana Marie PereaMemorial Sloan Kettering Cancer Center, New York, NY 10065, USA.ORCID 0000-0001-5931-8142
Xiaoping HuMount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences, Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0002-7415-2336
Xufen YuMount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences, Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0001-7794-7890
Raashed RaziuddinMemorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Quincey LaPlantDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Stephen RuizMemorial Sloan Kettering Cancer Center, New York, NY 10065, USA.ORCID 0000-0002-1634-9798
G Praveen RajuDepartments of Neurosciences and Pediatrics, Moores Cancer Center, University of California, San Diego, La Jolla, CA 92093, USA.ORCID 0000-0003-1342-9132
Jian JinMount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences, Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0002-2387-3862
David A ScheinbergMemorial Sloan Kettering Cancer Center, New York, NY 10065, USA.ORCID 0000-0002-4160-923X
Daniel A HellerMemorial Sloan Kettering Cancer Center, New York, NY 10065, USA.ORCID 0000-0002-6866-0000

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
T LYMPHOCYTE SUBSET FUNCTION POST-TRANSPLANTATIONP01CA023766 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI PERALES, MIGUEL-ANGEL · 1985 to 2023
$59.0M
CANCER PHARMACOLOGYT32CA062948 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI LORRAINE J GUDAS · 1994 to 2026
$12.1M
Understanding and Mimicking TCR Recognition with Therapeutic Monoclonal Antibodies.R35CA241894 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI DAVID A SCHEINBERG · 2020 to 2026
$7.2M
RECOMBINANT ANTICD33 ANTIBODY FOR AMLR01CA055349 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SCHEINBERG, DAVID A · 1991 to 2020
$6.8M
Dissecting and targeting canonical and non-canonical oncogenic functions of EZH2 in canerR01CA268519 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Jian Jin, G Greg Wang · 2022 to 2026
$3.2M
P-selectin-Mediated Targeting of PI3K Nanomedicines to the Tumor MicroenvironmentR01CA215719 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI HELLER, DANIEL ALAN · 2018 to 2022
$3.1M
Tumor-Selective Delivery Approaches for MedulloblastomaR01NS116353 · NINDS · SLOAN-KETTERING INST CAN RESEARCH · PI HELLER, DANIEL ALAN, RAJU, PRAVEEN B. · 2020 to 2024
$3.1M
Inducing Neural Maturation in Medulloblastoma by Targeting EZH2R01NS122987 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RAJU, PRAVEEN B., SNUDERL, MATIJA · 2022 to 2025
$2.8M
Tri-Institutional PhD Program in Chemical BiologyT32GM136640 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI DEREK S TAN · 2020 to 2026
$2.4M
Tri-Institutional PhD Program in Chemical BiologyT32GM115327 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI TAN, DEREK S · 2015 to 2019
$741k
An AVANCE NEO 400 MHz NMR Spectrometer for Chemical Biology and Drug DiscoveryS10OD028504 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ZHOU, MING-MING · 2020 to 2020
$599k
NCI NIH HHS P01 CA023766NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA055349NCI NIH HHS R01 CA215719NCI NIH HHS R01 CA268519NCI NIH HHS R35 CA241894NCI NIH HHS T32 CA062948NIGMS NIH HHS T32 GM115327NIGMS NIH HHS T32 GM136640NIH HHS S10 OD025132NIH HHS S10 OD028504NINDS NIH HHS R01 NS116353NINDS NIH HHS R01 NS122987
6 · The paper itself

Abstract

Proteolysis-targeting chimeras (PROTACs) are catalytic protein degraders with promising preclinical activity. The clinical translation of PROTACs has been limited by poor pharmacologic properties and toxicities, in part due to their "non-druglike" characteristics, including large molecular weights. We found that the vast majority of PROTACs can self-assemble into nanoparticles, yielding nanoparticle PROTACs (nanoPROTACs) with ultrahigh drug loadings. While PROTAC molecular features can be deleterious to their pharmacokinetic properties, we found that they can drive nanoencapsulation more efficiently than FDA-approved small-molecule drugs. Using structure-based prediction algorithms, we identified spatial autocorrelation molecular descriptors that defined nanoPROTAC formation with 96% sensitivity at 100% specificity. NanoPROTACs, targeted to the tumor microenvironment via P-selectin, led to significantly enhanced tumor drug uptake, target degradation, tumor growth inhibition, and overall survival in solid tumor xenografts. These findings offer a broad strategy to improve the pharmacologic properties and therapeutic index of PROTACs and potentially other non-druglike experimental therapeutics.

Indexed as

Antineoplastic AgentsNanoparticlesNeoplasmsProteolysisTumor MicroenvironmentAnimalsCell Line, TumorHumansMiceXenograft Model Antitumor AssaysAntineoplastic Agents

Identifiers

PMID41348877
PMCPMC12680051

What OpenQuestion holds

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LicenceCC BY
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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.