Evidence map›Paper›PMID 26702420›Full record

ArticleData in brief2015

Asymmetric real-time PCR and multiplex melting curve analysis with TaqMan probes for detecting PIK3CA mutations.

Irina V Botezatu, Irina O Nechaeva, Аnna М Stroganova, Anastasia I Senderovich, Valentina N Kondratova, Valery P Shelepov, Anatoly V Lichtenstein

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 2015. 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
0.7field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 10 citations in OpenAlex.

  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

7 authors at 1 institution in 1 country.

Irina V BotezatuN.N. Blokhin Russian Cancer Research Center, Kashirskoe Shosse 24, 115478 Moscow, Russia.
Irina O NechaevaN.N. Blokhin Russian Cancer Research Center, Kashirskoe Shosse 24, 115478 Moscow, Russia.
Аnna М StroganovaN.N. Blokhin Russian Cancer Research Center, Kashirskoe Shosse 24, 115478 Moscow, Russia.
Anastasia I SenderovichN.N. Blokhin Russian Cancer Research Center, Kashirskoe Shosse 24, 115478 Moscow, Russia.
Valentina N KondratovaN.N. Blokhin Russian Cancer Research Center, Kashirskoe Shosse 24, 115478 Moscow, Russia.
Valery P ShelepovN.N. Blokhin Russian Cancer Research Center, Kashirskoe Shosse 24, 115478 Moscow, Russia.
Anatoly V LichtensteinN.N. Blokhin Russian Cancer Research Center, Kashirskoe Shosse 24, 115478 Moscow, Russia.
Russian Cancer Research Center NN Blokhin · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The data in this article are related to the research article entitled "Optimization of melting analysis with TaqMan probes for detection of KRAS, NRAS, and BRAF mutations" Botezatu et al. [1]. Somatic mutations in the PIK3CA gene ("hot spots" in exons 9 and 20) are found in many human cancers, and their presence can determine prognosis and a treatment strategy. An effective method of mutation scanning PIK3CA in clinical laboratories is DNA Melting Analysis (DMA) (Vorkas et al., 2010; Simi et al., 2008) [2], [3]. It was demonstrated recently that the TaqMan probes which have been long used in Real Time PCR may also be utilized in DMA (Huang et al., 2011) [4]. After optimization of this method Botezatu et al. [1], it was used for multiplex scanning PIK3CA hotspot mutations in formalin-fixed paraffin-embedded (FFPE) samples from patients with colorectal and lung cancer.

Indexed as

DNA melting analysisMultiplex analysisMutation scanningPIK3CATaqMan probes

Identifiers

PMID26702420
PMCPMC4669479
OpenAlexW2173394256

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.