Evidence map›Paper›PMID 30827467›Full record

ArticleThe Journal of molecular diagnostics : JMD2019

Development of Novel Mutation-Specific Droplet Digital PCR Assays Detecting TERT Promoter Mutations in Tumor and Plasma Samples.

Broderick C Corless, Gregory A Chang, Samantha Cooper, Mahrukh M Syeda, Yongzhao Shao, Iman Osman, George Karlin-Neumann, David Polsky

Open access · greenAbstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

38 citing papers in PubMed, 63 citations in OpenAlex.

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  13. Liquid Biopsy of Cerebrospinal Fluid Enables Selective Profiling of Glioma Molecular Subtypes at First Clinical Presentation.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
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  17. Highly Sensitive EGFRvIII Detection in Circulating Extracellular Vesicle RNA of Glioma Patients.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Article
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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

8 authors at 2 institutions in 1 country.

Broderick C CorlessThe Ronald O. Perelman Department of Dermatology, New York University School of Medicine, New York, New York; Laura and Isaac Perlmutter Cancer Center, NYU Langone Health, New York, New York.
Gregory A ChangThe Ronald O. Perelman Department of Dermatology, New York University School of Medicine, New York, New York; Laura and Isaac Perlmutter Cancer Center, NYU Langone Health, New York, New York.
Samantha CooperDigital Biology Center, Bio-Rad Laboratories, Pleasanton, California.
Mahrukh M SyedaThe Ronald O. Perelman Department of Dermatology, New York University School of Medicine, New York, New York; Laura and Isaac Perlmutter Cancer Center, NYU Langone Health, New York, New York.
Yongzhao ShaoLaura and Isaac Perlmutter Cancer Center, NYU Langone Health, New York, New York.
Iman OsmanThe Ronald O. Perelman Department of Dermatology, New York University School of Medicine, New York, New York; Laura and Isaac Perlmutter Cancer Center, NYU Langone Health, New York, New York.
George Karlin-NeumannDigital Biology Center, Bio-Rad Laboratories, Pleasanton, California.
David PolskyThe Ronald O. Perelman Department of Dermatology, New York University School of Medicine, New York, New York; Laura and Isaac Perlmutter Cancer Center, NYU Langone Health, New York, New York. Electronic address: david.polsky@nyumc.org.
NYU Langone Health · USBio-Rad (United States) · US

Funding

Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Drew R Jones · 1985 to 2026
$83.1M
Validation of circulating tumor DNA assays for detection of metastatic melanomaUH3CA206124 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI POLSKY, DAVID · 2018 to 2020
$1.4M
Validation of circulating tumor DNA assays for detection of metastatic melanomaUH2CA206124 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI POLSKY, DAVID · 2016 to 2017
$460k
Evaluation of TERT promoter mutations as melanoma biomarkers in tumors and plasmaR21CA198495 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI POLSKY, DAVID · 2015 to 2016
$406k
NCI NIH HHS P30 CA016087NCI NIH HHS R21 CA198495NCI NIH HHS UH2 CA206124NCI NIH HHS UH3 CA206124
6 · The paper itself

Abstract

Detecting mutations in the plasma of patients with solid tumors is becoming a valuable method of diagnosing and monitoring cancer. The TERT promoter is mutated at high frequencies in multiple cancer types, most commonly at positions -124 and -146 (designated C228T and C250T, respectively). Detection of these mutations has been challenging because of the high GC content of this region (approximately 80%). We describe development of novel probe-based droplet digital PCR assays that specifically detect and quantify these two mutations, along with the less common 242-243 CC>TT mutation, and demonstrate their application using human tumor and plasma samples from melanoma patients. Assay designs and running conditions were optimized using cancer cell line genomic DNAs with the C228T or C250T mutations. The limits of detection were 0.062% and 0.051% mutant allele fraction for the C228T and C250T assays, respectively. Concordance of 100% was observed between droplet digital PCR and sequencing-based orthogonal methods in the detection of TERT mutant DNA in 32 formalin-fixed, paraffin-embedded melanoma tumors. TERT

Indexed as

HumansMutationPolymerase Chain ReactionPromoter Regions, GeneticTelomeraseTelomeraseTERT protein, human

Identifiers

PMID30827467
PMCPMC6419583
OpenAlexW2898344692

What OpenQuestion holds

Textmetadata
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.