Evidence map›Paper›PMID 42250137›Full record

ArticleAnalytical and bioanalytical chemistry2026

Polyclonal antibodies targeting defined epitopes on cancer biomarker MUC16.

Spencer E Moffitt, Anubhuti Srivastava, Naviya Schuster-Little, Caitlin R McEntee, Jane C March, Chien-Wei Wang, Danielle R Dotson, Holly V Goodson, Rebecca J Whelan

Abstract read
In one paragraph

Article in Analytical and bioanalytical 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.

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

9 authors.

Spencer E MoffittDepartment of Chemistry, University of Kansas, Lawrence, KS, USA.
Anubhuti SrivastavaDepartment of Chemistry, University of Kansas, Lawrence, KS, USA.
Naviya Schuster-LittleDepartment of Chemistry, University of Kansas, Lawrence, KS, USA.ORCID http://orcid.org/0000-0001-7336-9042
Caitlin R McEnteeDepartment of Chemistry, University of Kansas, Lawrence, KS, USA.ORCID http://orcid.org/0009-0005-3729-8802
Jane C MarchDepartment of Chemistry, University of Kansas, Lawrence, KS, USA.ORCID http://orcid.org/0009-0005-1611-1041
Chien-Wei WangDepartment of Chemistry, University of Kansas, Lawrence, KS, USA.ORCID http://orcid.org/0000-0002-0449-8366
Danielle R DotsonDepartment of Chemistry, University of Kansas, Lawrence, KS, USA.ORCID http://orcid.org/0009-0009-8432-2341
Holly V GoodsonDepartment of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN, USA.ORCID http://orcid.org/0000-0001-7942-8349
Rebecca J WhelanDepartment of Chemistry, University of Kansas, Lawrence, KS, USA. rwhelan1@ku.edu.ORCID http://orcid.org/0000-0002-9293-1528

Funding

Synthetic Chemical Biology CoreP20GM113117 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI OROZCO, ROBIN C. · 2016 to 2025
$23.9M
Understanding the mechanobiology of stem cells in a microengineered 3D cardiac tissue environment with cardiomyopathyP20GM103638 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI LUNTE, SUSAN M · 2012 to 2021
$22.1M
Using Integrated Omics to Identify Dysfunctional Genetic Mechanisms Influencing Schizophrenia and Sleep DisturbancesP20GM130423 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Diane E Mahoney · 2019 to 2026
$21.5M
Women's Alzheimer's Risk Reduction in MidlifeP20GM152280 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI HEATHER R DESAIRE · 2024 to 2026
$10.0M
Chemistry-Biochemistry-Biology Training Program at Notre DameT32GM075762 · NIGMS · UNIVERSITY OF NOTRE DAME · PI CHANG, MAYLAND F, MOBASHERY, SHAHRIAR · 2007 to 2021
$3.7M
Targeted proteomics of MUC16 to enable early detection of ovarian cancer recurrenceR21CA267532 · NCI · UNIVERSITY OF NOTRE DAME · PI WHELAN, REBECCA JEAN · 2022 to 2023
$412k
Honorable Tina Brozman Foundation Team Science AwardMike and Josie Harper Cancer Research Institute at the University of Notre Dame Seed FundingNational Science Foundation CHE-2349329National Science Foundation MCB 2027389NCI NIH HHS R21 CA267532NCI NIH HHS R21CA267532NIGMS NIH HHS P20 GM103638NIGMS NIH HHS P20GM103638NIGMS NIH HHS P20 GM113117NIGMS NIH HHS P20GM113117NIGMS NIH HHS P20 GM130423NIGMS NIH HHS P20GM130423NIGMS NIH HHS P20 GM152280NIGMS NIH HHS P20GM152280NIGMS NIH HHS T32 GM075762NIGMS NIH HHS T32GM075762
6 · The paper itself

Abstract

Measurements of the peptide epitope CA125 are crucial in ovarian cancer care. Despite its value as a tool in disease management, CA125 is an imperfect biomarker, with rates of false positive and false negative response that preclude its use as a screening tool in the general population. The monoclonal antibodies that perform capture and recognition in the CA125 test-OC125 and M11-were developed using complex targets as immunogens and recognize epitopes that have been located on mucin16 (MUC16) but otherwise remain undefined at the molecular level. We hypothesized that new antibodies recognizing MUC16 peptides of known sequence could enable the development of assay platforms that overcome the limitations of the current CA125 test. Here, we report the development and characterization of three sets of polyclonal antibodies that recognize known MUC16 peptides. Peptides that appear several times within MUC16's highly conserved tandem repeat region were used to immunize two sets of rabbits. Affinity-isolated antibodies were characterized by enzyme-linked immunosorbent assay (ELISA) and Western blot. All three peptides were successful antigens, as indicated by the ability of the resulting polyclonal antibodies to bind individually expressed proteins from the MUC16 tandem repeat region. In particular, the polyclonal antibodies raised against peptide 2 (ELGPYTLDRNSLYV) bound to all tandem repeats tested. Peptide 2 antibodies were able to detect intact MUC16 from ovarian cancer cells in a surface plasmon resonance (SPR) assay. In flow cytometry experiments, peptide 2 antibodies bind to MUC16-positive cells (OVCAR3) and do not bind to MUC16-negative cells (OVCAR8). The binding pattern of these polyclonal antibodies opens the possibility of developing new monoclonal antibodies recognizing known epitopes within the tandem repeat region. These reagents may eventually complement or replace the monoclonal antibodies used in the current clinical CA125 test.

Indexed as

AntibodiesBiomarkers, TumorCA-125 AntigenEpitopesMembrane ProteinsOvarian NeoplasmsAmino Acid SequenceAnimalsAntibodies, MonoclonalEnzyme-Linked Immunosorbent AssayFemaleHumansRabbitsAntibodiesAntibodies, MonoclonalBiomarkers, TumorCA-125 AntigenEpitopesMembrane ProteinsMUC16 protein, humanCancer antigen 125EpitopeMucin 16Polyclonal antibodyTandem repeat

Identifiers

PMID42250137
PMCPMC13388763

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Registered trials

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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.