Evidence map›Paper›PMID 35219339›Full record

ArticleJournal of ovarian research2022

Application of a novel microscopic technique for quantifying CA125 binding to circulating mononuclear cells in longitudinal specimens during treatment for ovarian cancer.

Kornél Lakatos, Germán González, Jawad Hoballah, Jeff Brooker, Sinyoung Jeong, Conor Evans, Petra Krauledat, W Peter Hansen, Kevin M Elias, Manish Patankar and 3 more

Abstract read
In one paragraph

Article in Journal of ovarian research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Kornél LakatosGynecologic Oncology Laboratory, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02132, USA.
Germán GonzálezPNP Research Corporation, LLC, 282 S COUNTY RD, Drury, MA, 01343, USA.
Jawad HoballahThorlabs Imaging Systems, 108 Powers Ct, Sterling, VA, 20166, USA.
Jeff BrookerThorlabs Imaging Systems, 108 Powers Ct, Sterling, VA, 20166, USA.
Sinyoung JeongWellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 20114, USA.
Conor EvansWellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 20114, USA.
Petra KrauledatPNP Research Corporation, LLC, 282 S COUNTY RD, Drury, MA, 01343, USA.
W Peter HansenPNP Research Corporation, LLC, 282 S COUNTY RD, Drury, MA, 01343, USA.
Kevin M EliasGynecologic Oncology Laboratory, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02132, USA.
Manish PatankarDepartment of Obstetrics and Gynecology, University of Wisconsin-Madison, Madison, WI, USA.
Vilmos FülöpDepartment of Obstetrics and Gynecology, Military Hospital Medical Centre, Hungarian Defense Forces, Budapest, Hungary.
Panagiotis A KonstantinopoulosDana-Farber Cancer Institute, 75 Francis Street, Boston, MA, 02115, USA.
Daniel W CramerDepartment of Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, Boston, MA, USA. dcramer@bwh.harvard.edu.

Funding

Mucins and immune cell interactions in ovarian cancer pathogenesis & progressionR35CA197605 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI CRAMER, DANIEL WILLIAM · 2016 to 2022
$6.9M
NCI NIH HHS R35 CA197605NIH HHS 5R35CA197605
6 · The paper itself

Abstract

backgroundMeasurement of serum CA125, an antigenic fragment of human mucin 16 (MUC16), is used to monitor the clinical progression of epithelial ovarian cancer (EOC). However, rather than simply a passive marker reflecting tumor burden, MUC16 may have a more active role by binding to immune cells and altering their tumor response. We developed a research tool to measure MUC16-binding to the surfaces of peripheral blood mononuclear cell (PBMC) subtypes and tested its research value using specimens collected serially from a woman being treated for high grade serous EOC.

methodsCryopreserved PBMCs were mixed with anti-CA125 antibody-labeled plasmonic gold nanoparticles (PNPs) to detect cell surface MUC16-binding along with fluorescent stains to identify B cells, NK cells, NK-T cells, T cells, and monocytes. From 3D darkfield images, a computer algorithm was applied to enumerate PNP-binding and fluorescence microscopy to identify cell lineage. Average MUC16-binding was determined by fitting a Poisson distribution to PNP-counts across similar cell types. MUC16-binding to cell types was correlated with treatment details, CA125 levels, and complete blood count (CBC) data.

resultsOver a 21-month period, monocytes had the highest level of MUC16-binding which was positively correlated with serum CA125 and inversely correlated with circulating monocyte and lymphocyte counts. Fluctuations of PNP-binding to NK cells were associated temporally with types of chemotherapy and surgical events. Levels of MUC16 bound to NK cells were positively correlated with levels of MUC16 bound to T and NK-T cells and inversely correlated with circulating platelets.

conclusionsAssessment of MUC16-binding among cryopreserved PBMC cell types can be accomplished using darkfield and fluorescence microscopy. Correlations observed between level of binding by cell type with serum CA125, CBC data, and treatment details suggest that the new techniques may offer novel insights into EOC's clinical course.

Indexed as

AlgorithmsAntibodiesCA-125 AntigenCarcinoma, Ovarian EpithelialFemaleFluorescent DyesGoldHumansKiller Cells, NaturalLeukocytes, MononuclearLymphocyte CountMembrane ProteinsMicroscopy, FluorescenceMonocytesNanoparticlesNatural Killer T-CellsAntibodiesCA-125 AntigenFluorescent DyesGoldMembrane ProteinsMUC16 protein, humanCA125MicroscopyMononuclear cellsNanoparticlesOvarian Cancer

Identifiers

PMID35219339
PMCPMC8881808

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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.