Evidence map›Paper›PMID 37301378›Full record

ArticleMolecular & cellular proteomics : MCP2023

An Integrated Approach to Protein Discovery and Detection From Complex Biofluids.

Gordon T Luu, Chang Ge, Yisha Tang, Kailiang Li, Stephanie M Cologna, Andrew K Godwin, Joanna E Burdette, Judith Su, Laura M Sanchez

Open access · goldAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Gordon T LuuDepartment of Chemistry and Biochemistry, University of California Santa Cruz, Santa Cruz, California, USA.
Chang GeWyant College of Optical Sciences, University of Arizona, Tucson, Arizona, USA.
Yisha TangDepartment of Biomedical Engineering, University of Arizona, Tucson, Arizona, USA.
Kailiang LiDepartment of Pharmaceutical Sciences, University of Illinois at Chicago, Chicago, Illinois, USA.
Stephanie M ColognaDepartment of Chemistry, University of Illinois at Chicago, Chicago, Illinois, USA.
Andrew K GodwinDepartment of Pathology and Laboratory Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA; Kansas Institute for Precision Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA; The University of Kansas Cancer Center, Kansas City, Kansas, USA.
Joanna E BurdetteDepartment of Pharmaceutical Sciences, University of Illinois at Chicago, Chicago, Illinois, USA.
Judith SuWyant College of Optical Sciences, University of Arizona, Tucson, Arizona, USA; Department of Biomedical Engineering, University of Arizona, Tucson, Arizona, USA. Electronic address: judy@optics.arizona.edu.
Laura M SanchezDepartment of Chemistry and Biochemistry, University of California Santa Cruz, Santa Cruz, California, USA. Electronic address: lmsanche@ucsc.edu.
University of Arizona · USUniversity of Illinois Chicago · USUniversity of California, Santa Cruz · USThe University of Kansas Cancer Center · US

Funding

Transgenic & Gene-Targeting Shared ResourceP30CA168524 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI ROY A. JENSEN · 2012 to 2026
$40.1M
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
Research Training in Natural Product Complementary and Integrative HealthT32AT007533 · NCCIH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI Joanna E Burdette, JIMMY ORJALA · 2013 to 2026
$4.3M
Extracellular Vesicle Proteomic Fingerprinting of Ovarian Cancer for Early Detection with a Nanoengineered MicrosystemR01CA260132 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI GODWIN, ANDREW K., ZENG, YONG · 2021 to 2025
$3.4M
Imaging mass spectrometry methodologies for studying the metabolites of cancer metastasisR01CA240423 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI BURDETTE, JOANNA E, SANCHEZ, LAURA MARGARET · 2020 to 2024
$2.1M
Label-free single molecule detection for basic science and translational medicineR35GM137988 · NIGMS · UNIVERSITY OF ARIZONA · PI SU, JUDITH · 2020 to 2024
$1.8M
NCCIH NIH HHS T32 AT007533NCI NIH HHS P30 CA168524NCI NIH HHS R01 CA240423NCI NIH HHS R01 CA260132NIGMS NIH HHS P20 GM130423NIGMS NIH HHS R35 GM137988
6 · The paper itself

Abstract

Ovarian cancer, a leading cause of cancer-related deaths among women, has been notoriously difficult to screen for and diagnose early, as early detection significantly improves survival. Researchers and clinicians seek routinely usable and noninvasive screening methods; however, available methods (i.e., biomarker screening) lack desirable sensitivity/specificity. The most fatal form, high-grade serous ovarian cancer, often originate in the fallopian tube; therefore, sampling from the vaginal environment provides more proximal sources for tumor detection. To address these shortcomings and leverage proximal sampling, we developed an untargeted mass spectrometry microprotein profiling method and identified cystatin A, which was validated in an animal model. To overcome the limits of detection inherent to mass spectrometry, we demonstrated that cystatin A is present at 100 pM concentrations using a label-free microtoroid resonator and translated our workflow to patient-derived clinical samples, highlighting the potential utility of early stage detection where biomarker levels would be low.

Indexed as

Early Detection of CancerOvarian NeoplasmsAnimalsCystatin AFemaleHumansMicropeptidesCystatin AMicropeptidesbiomarkersmass spectrometrymurine modeloptical resonatorsovarian cancer

Identifiers

PMID37301378
PMCPMC10388710
OpenAlexW4379930745

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.