Evidence map›Paper›PMID 33141132›Full record

ArticleThe Analyst2021

Affinity-free enrichment and mass spectrometry analysis of the ovarian cancer biomarker CA125 (MUC16) from patient-derived ascites.

Naviya Schuster-Little, Roberta Fritz-Klaus, Mark Etzel, Niharika Patankar, Saahil Javeri, Manish S Patankar, Rebecca J Whelan

Open access · greenAbstract read
In one paragraph

Article in The Analyst, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 21% of its field
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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  6. Molecular Biomarkers for the Early Detection of Ovarian Cancer.International journal of molecular sciences · 2022
    Review
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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

7 authors at 2 institutions in 2 countries.

Naviya Schuster-LittleDepartment of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN, USA. rwhelan1@nd.edu.
Roberta Fritz-Klaus
Mark Etzel
Niharika Patankar
Saahil Javeri
Manish S Patankar
Rebecca J Whelan
University of Wisconsin–Madison · USUniversity of Notre Dame · US

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Christian Capitini · 1985 to 2026
$142.6M
Chemistry-Biochemistry-Biology Training Program at Notre DameT32GM075762 · NIGMS · UNIVERSITY OF NOTRE DAME · PI CHANG, MAYLAND F, MOBASHERY, SHAHRIAR · 2007 to 2021
$3.7M
NCI NIH HHS P30 CA014520NIGMS NIH HHS T32 GM075762
6 · The paper itself

Abstract

Developing a mass spectrometry-based assay for the ovarian cancer biomarker CA125 (MUC16) is a desirable goal, because it may enable detection of molecular regions that are not recognized by antibodies and are therefore analytically silent in the current immunoassay. Additionally, the ability to characterize the CA125 proteoforms expressed by individuals may offer clinical insight. Enrichment of CA125 from malignant ascites may provide a high-quality source of this important ovarian cancer biomarker, but a reliable strategy for such enrichment is currently lacking. Beginning with crude ascites isolated from three individual patients with high grade serous ovarian cancer, we enriched for MUC16 using filtration, ion exchange, and size exclusion chromatography and then performed bottom-up proteomics on the isolated proteins. This approach of enrichment and analysis reveals that the peptides detected via mass spectrometry map to the SEA domain and C-loop regions within the tandem repeat domains of CA125 and that peptide abundance correlates with clinical CA125 counts.

Indexed as

Biomarkers, TumorOvarian NeoplasmsAscitesCA-125 AntigenFemaleHumansMass SpectrometryMembrane ProteinsBiomarkers, TumorCA-125 AntigenMembrane ProteinsMUC16 protein, human

Identifiers

PMID33141132
PMCPMC7785687
OpenAlexW3094871269

What OpenQuestion holds

Textmetadata
LicenceTDM
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.