Evidence map›Paper›PMID 39920386›Full record

ArticleAnalytical and bioanalytical chemistry2025

A novel method for semi-quantitative detection of HPV16 and HPV18 mRNA with a low-cost, open-source fluorimeter.

Kathryn A Kundrod, Mary E Natoli, Chelsey A Smith, Jackson B Coole, Megan M Chang, Emilie Newsham Novak, Elizabeth Chiao, Elizabeth A Stier, Jane R Montealegre, Michael E Scheurer and 3 more

Abstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Kathryn A KundrodDepartment of Bioengineering, Rice University, Houston, TX, USA.
Mary E NatoliDepartment of Bioengineering, Rice University, Houston, TX, USA.
Chelsey A SmithDepartment of Bioengineering, Rice University, Houston, TX, USA.
Jackson B CooleDepartment of Bioengineering, Rice University, Houston, TX, USA.
Megan M ChangDepartment of Bioengineering, Rice University, Houston, TX, USA.
Emilie Newsham NovakDepartment of Bioengineering, Rice University, Houston, TX, USA.
Elizabeth ChiaoDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Elizabeth A StierDepartment of Obstetrics and Gynecology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Jane R MontealegreDepartment of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Michael E ScheurerDepartment of Pediatrics-Hematology/Oncology, Baylor College of Medicine, Houston, TX, USA.
Philip E CastleDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
Kathleen M SchmelerDepartment of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Rebecca R Richards-KortumDepartment of Bioengineering, Rice University, Houston, TX, USA. rkortum@rice.edu.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Point-of-care HPV mRNA test for cervical cancer screening in low-resource settingsR21CA249367 · NCI · RICE UNIVERSITY · PI RICHARDS-KORTUM, REBECCA R. · 2021 to 2022
$418k
National Academy of Sciences, United States Agency for International Development (Partnerships for Enhanced Engagement in Research) Cooperative Agreement AID-OAA-A-11- 00012National Institutes of Health (NIH) through MD Anderson's Cancer Center Support Grant P30CA016672NCI NIH HHS NIH Award R21CA249367NCI NIH HHS P30 CA016672NCI NIH HHS R21 CA249367
6 · The paper itself

Abstract

Despite global calls to eliminate cervical cancer, rates of cervical cancer incidence and mortality remain high in resource-limited settings, where it is challenging to implement and sustain screening, diagnosis, and treatment programs. The presence of high-risk HPV mRNA in cervical cells is a sensitive and specific biomarker of cervical precancer. Yet, current testing methods are too costly and complex for use in resource-limited settings. Here, we present a novel method for semi-quantitative detection of HPV16 and HPV18 mRNA with minimal infrastructure requirements. The assay relies on isothermal reverse transcription recombinase polymerase amplification (RT-RPA) with real-time fluorescence readout, demonstrated on rugged, portable, and affordable instruments. We demonstrate adapting the assay from DNA detection to RNA detection, characterizing the test with samples of increasing biological complexity, and ultimately establishing a limit of detection of 1000 HPV16 or HPV18 transcripts per reaction with RNA extracted from cell lines. HPV16 and HPV18 mRNA assays were used to test total RNA from 11 patient samples; results for 10 samples (91%) agreed with the gold standard of RT-qPCR. To reduce cost, the assay was demonstrated with multiplexed detection of HPV16 and HPV18 DNA, validated with a reaction volume that was reduced from 50 to 5 µL with DNA and RNA, and performed using a low-cost, portable reader with DNA and RNA. With incorporation of point-of-care-friendly sample preparation and detection of additional genotypes, this test has the potential to expand global access to HPV testing.

Indexed as

FluorometryHuman papillomavirus 16Human papillomavirus 18Papillomavirus InfectionsRNA, MessengerRNA, ViralFemaleHumansLimit of DetectionNucleic Acid Amplification TechniquesUterine Cervical NeoplasmsRNA, MessengerRNA, ViralCervical cancerHPV testingMRNAPoint-of-care diagnostics

Identifiers

PMID39920386
PMCPMC11913951

What OpenQuestion holds

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LicenceCC BY
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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.