Evidence map›Paper›PMID 27244445›Full record

ArticlePloS one2016

Multiplex Real-Time PCR Assays that Measure the Abundance of Extremely Rare Mutations Associated with Cancer.

Diana Y Vargas, Fred Russell Kramer, Sanjay Tyagi, Salvatore A E Marras

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  6. Ultrasensitive Detection of Multidrug-ResistantInternational journal of molecular sciences · 2022
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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

4 authors.

Diana Y VargasPublic Health Research Institute, Rutgers University, Newark, New Jersey, United States of America.
Fred Russell KramerPublic Health Research Institute, Rutgers University, Newark, New Jersey, United States of America.
Sanjay TyagiPublic Health Research Institute, Rutgers University, Newark, New Jersey, United States of America.
Salvatore A E MarrasPublic Health Research Institute, Rutgers University, Newark, New Jersey, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe the use of "SuperSelective" primers that enable the detection and quantitation of somatic mutations whose presence relates to cancer diagnosis, prognosis, and therapy, in real-time PCR assays that can potentially analyze rare DNA fragments present in blood samples (liquid biopsies). The design of these deoxyribonucleotide primers incorporates both a relatively long "5' anchor sequence" that hybridizes strongly to target DNA fragments, and a very short, physically and functionally separate, "3' foot sequence" that is perfectly complementary to the mutant target sequence, but mismatches the wild-type sequence. As few as ten mutant fragments can reliably be detected in the presence of 1,000,000 wild-type fragments, even when the difference between the mutant and the wild type is only a single nucleotide polymorphism. Multiplex PCR assays employing a set of SuperSelective primers, and a corresponding set of differently colored molecular beacon probes, can be used in situations where the different mutations, though occurring in different cells, are located in the same codon. These non-symmetric real-time multiplex PCR assays contain limited concentrations of each SuperSelective primer, thereby enabling the simultaneous determination of each mutation's abundance by comparing its threshold value to the threshold value of a reference gene present in the sample.

Indexed as

DNADNA PrimersHumansMolecular Diagnostic TechniquesMultiplex Polymerase Chain ReactionMutationNeoplasmsNucleic Acid Amplification TechniquesNucleic Acid HybridizationPolymorphism, Single NucleotideReal-Time Polymerase Chain ReactionDNADNA Primers

Identifiers

PMID27244445
PMCPMC4887114

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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.