In one paragraphArticle in Clinical cancer research : an official journal of the American Association for Cancer Research, 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 itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
20 authors.
Aiko Yamaguchi *Radiopharmaceuticals for Advanced Diagnostic Imaging and Therapy R&D Platform, Therapeutics Discovery Division, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-7631-3164 Ryan P Coll *Department of Nuclear Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0003-4831-4554 Jianbo WangDepartment of Nuclear Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0009-0001-0487-7729 Ha TranDepartment of Nuclear Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0009-0001-2619-0231 Beibei HuangDepartment of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0003-0555-6924 Tomoyuki MashimoDepartment of Nuclear Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0009-0000-0795-8455 F William SchulerDepartment of Nuclear Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-6836-5389 Susanne Je-Han LinDepartment of Veterinary Medicine and Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-0947-7388 Shilpa SharmaDepartment of Nuclear Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-2239-5985 Sanjana DhakshinamoorthyDepartment of Mechanical Engineering, The University of Texas, Austin, Texas.ORCID 0009-0001-1118-8681 Robert T TaCyclotron Radiochemistry Facility, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-8075-9639 Dimitra K GeorgiouDepartment of Nuclear Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-8786-2495 Loukia G KaracostaDepartment of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-1491-4773 Shabnam MalikDepartment of Immunology and Microbiology, The University of Texas Rio Grande Valley School of Medicine, Edinburg, Texas.ORCID 0000-0003-4796-4731 Sheema KhanDepartment of Immunology and Microbiology, The University of Texas Rio Grande Valley School of Medicine, Edinburg, Texas.ORCID 0000-0002-6216-1470 Murali M YallapuDepartment of Immunology and Microbiology, The University of Texas Rio Grande Valley School of Medicine, Edinburg, Texas.ORCID 0000-0002-0073-8828 Scott KopetzDepartment of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-9647-3416 Subhash C ChauhanDepartment of Immunology and Microbiology, The University of Texas Rio Grande Valley School of Medicine, Edinburg, Texas.ORCID 0000-0002-3347-5120 H Charles ManningRadiopharmaceuticals for Advanced Diagnostic Imaging and Therapy R&D Platform, Therapeutics Discovery Division, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-2042-8800 Funding
Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8MDevelopment of Targeted Nanotechnology Platform for Pancreatic CancerR01CA206069 · NCI · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI CHAUHAN, SUBHASH C. · 2016 to 2021
$1.7MTargeted Nanotherapy for Pancreatic CancerR01CA210192 · NCI · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI CHAUHAN, SUBHASH C. · 2016 to 2021
$1.7MCancer Prevention and Research Institute of Texas (CPRIT) RP210180Cancer Prevention and Research Institute of Texas (CPRIT) RP230419Cancer Prevention and Research Institute of Texas (CPRIT) RR200046Division of Cancer Prevention, National Cancer Institute (DCP, NCI) CA206069Division of Cancer Prevention, National Cancer Institute (DCP, NCI) P30CA016672National Cancer Institute (NCI) CA210192NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA206069NCI NIH HHS R01 CA210192
6 · The paper itselfAbstract
purposeThe high mortality associated with metastatic colorectal cancer (mCRC) illuminates an unmet need for innovative therapeutic modalities. Radiopharmaceutical therapy (RPT) offers a potent, molecular-scale approach for managing and treating cancers with distant micrometastases. However, its clinical use in mCRC remains an unrealized opportunity. We have therefore identified the transmembrane glycoprotein mucin 13 (MUC13) as a promising antigen for developing a targeted RPT and have undertaken preclinical evaluation of its potential by utilizing a monoclonal antibody tool representative of a future class of translatable therapeutics. EXPERIMENTAL
designThe immunoreactivity and transcriptome of patients with colorectal cancer (n = 72 primary, 100 liver metastases) were characterized using annotated clinical datasets. Preclinical assessment of MUC13 as an RPT target for mCRC was then performed in mice using a monoclonal MUC13-targeted antibody C14 labeled with either zirconium-89 for positron emission tomography (PET) measurement of mCRC-associated MUC13 density or terbium-161 for targeted RPT.
resultsStrong MUC13 immunoreactivity was observed in ∼70% of mCRC and was inversely correlated with overall survival (P < 0.01). MUC13 levels were visualized by PET and agreed with immunohistochemically determined antigen presence. Furthermore, MUC13-targeted RPT exhibited in vivo proof-of-concept efficacy and enhanced survival in preclinical colorectal cancer models. Resulting imaging, therapeutic, and pathologic analyses elucidated relationships between target density, therapeutic outcome, and a potential genetic signature.
conclusionsMUC13-targeted RPT response was not only associated with radiopharmaceutical accumulation but also seemed to be balanced by DNA damage repair gene expression, suggesting a potential sensitivity signature that could complement a future clinical theranostic approach in MUC13-positive mCRC.
Indexed as
Antigens, NeoplasmColorectal NeoplasmsLiver NeoplasmsMucinsAnimalsAntibodies, MonoclonalBiomarkers, TumorCell Line, TumorDisease Models, AnimalFemaleHumansMaleMicePositron-Emission TomographyRadioisotopesRadiopharmaceuticalsAntibodies, MonoclonalAntigens, NeoplasmBiomarkers, TumorMUC13 protein, humanMucinsRadioisotopesRadiopharmaceuticals
Identifiers
PMID42149121
PMCPMC13285209
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