Evidence map›Paper›PMID 42068440›Full record

ArticleEJNMMI radiopharmacy and chemistry2026

MUC1-targeting small peptide radiopharmaceuticals for breast cancer.

Rim Malek, Madeleine Landry, Pierre Cheung, Corinne Beinat

Abstract read
In one paragraph

Article in EJNMMI radiopharmacy and chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

4 authors.

Rim MalekDepartment of Radiology, Molecular Imaging Program at Stanford, Stanford University, 1701 Page Mill Road, Stanford, CA, 94305, USA.
Madeleine LandryDepartment of Radiology, Molecular Imaging Program at Stanford, Stanford University, 1701 Page Mill Road, Stanford, CA, 94305, USA.
Pierre CheungDepartment of Radiology, Molecular Imaging Program at Stanford, Stanford University, 1701 Page Mill Road, Stanford, CA, 94305, USA.
Corinne BeinatDepartment of Radiology, Molecular Imaging Program at Stanford, Stanford University, 1701 Page Mill Road, Stanford, CA, 94305, USA. cbeinat@stanford.edu.ORCID http://orcid.org/0000-0003-1718-3272

Funding

TOOLKIT CoreU54CA261717 · NCI · STANFORD UNIVERSITY · PI Melanie Hayden Gephart · 2021 to 2026
$8.9M
National Institute of Health R37CA278744NIH NCI U54 Metastasis Network Seed Grant U54CA261717
6 · The paper itself

Abstract

backgroundMucin 1 (MUC1) is a transmembrane glycoprotein overexpressed and underglycosylated in numerous epithelial cancers, including breast cancer. Reduced glycosylation leads to the exposure of the variable number tandem repeat (VNTR) region. To the best of our knowledge, all peptides previously described in the literature target the same epitope sequence of the VNTR. Given the high prevalence of breast cancer and the limited treatment options for the aggressive subtype triple-negative breast cancer (TNBC), due to its lack of oestrogen receptors (ER), progesterone receptors (PR), and human epidermal growth factor receptor 2 (HER2), we sought to develop a small peptide radiopharmaceutical targeting MUC1 by exploring all 3 minimal epitope sequences of the VNTR: RPAPGS, PPAHGVT and PDTRP. We also investigated the influence of linker lipophilicity on the binding affinity to MUC1.

resultsThe reference compound 1 showed the highest cell uptake among all tested compounds. While some statistically significant differences were observed for the cell uptake between the different peptide sequences and the linkers, the uptake was so low that no reliable structure-activity relationships could be established. We then studied the specificity of all compounds for MUC1 by comparing the uptake in MUC1-expressing and MUC1-knockout (KO) cells, and unexpectedly observed no specificity for any compound. A saturation binding assay of several peptides showed their binding was too low to reliably determine their binding affinity (K

conclusionsWhile MUC1 is a very promising target for the development of breast cancer theranostics, designing peptidomimetics based on its minimal epitopes do not lead to high-affinity binders. Our ongoing efforts involve utilizing phage-display to identify new peptide sequences.

Indexed as

Breast cancerEpithelial cancerMUC1RadiopharmaceuticalTriple-negative breast cancer

Identifiers

PMID42068440
PMCPMC13168398

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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.