Evidence map›Paper›PMID 40649822›Full record

ArticleInternational journal of molecular sciences2025

Biodistribution of a Mucin 4-Selective Monoclonal Antibody: Defining a Potential Therapeutic Agent Against Pancreatic Cancer.

Achyut Dahal, Jerome Schlomer, Laura Bassel, Serguei Kozlov, Joseph J Barchi

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Achyut DahalGlycoconjugate and NMR Section, Chemical Biology Laboratory, The Center for Cancer Research, National Cancer Institute at Frederick, Frederick, MD 21702, USA.
Jerome SchlomerCenter for Advanced Preclinical Research, Frederick National Lab for Cancer Research, The Center for Cancer Research, National Cancer Institute at Frederick, Frederick, MD 21702, USA.
Laura BasselCenter for Advanced Preclinical Research, Frederick National Lab for Cancer Research, The Center for Cancer Research, National Cancer Institute at Frederick, Frederick, MD 21702, USA.ORCID 0000-0003-1684-6839
Serguei KozlovCenter for Advanced Preclinical Research, Frederick National Lab for Cancer Research, The Center for Cancer Research, National Cancer Institute at Frederick, Frederick, MD 21702, USA.
Joseph J BarchiGlycoconjugate and NMR Section, Chemical Biology Laboratory, The Center for Cancer Research, National Cancer Institute at Frederick, Frederick, MD 21702, USA.

Funding

Glycopeptide Antigen-bearing Nanoparticles for Passive and Active Antitumor Therapy for Pancreatic CancerZIABC010451 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI BARCHI, JOSEPH JOHN · 2009 to 2025
$8.0M
NCI NIH HHS ZIA BC 010451
6 · The paper itself

Abstract

We have previously reported on a novel monoclonal antibody (mAb) we designated F5, which was raised against a glycopeptide derived from the tandem repeat (TR) region of Mucin-4 (MUC4), a heavily O-glycosylated protein that is overexpressed in many pancreatic cancer cells. This mAb was highly specific for the MUC4 glycopeptide antigen in glycan microarrays, ELISA and SPR assays, selectively stained tissue derived from advanced-stage tumors, and bound MUC4

Indexed as

Antibodies, MonoclonalMucin-4Pancreatic NeoplasmsAnimalsCell Line, TumorFemaleHumansMiceTissue DistributionXenograft Model Antitumor AssaysAntibodies, MonoclonalMUC4 protein, humanMucin-4biodistributionglycopeptideglycosylationmonoclonal antibodymucinnear-infrared dyepancreatic ductal adenocarcinoma

Identifiers

PMID40649822
PMCPMC12249516

What OpenQuestion holds

Textmetadata
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.