Evidence map›Paper›PMID 32165708›Full record

ArticleScientific reports2020

A novel hotspot specific isothermal amplification method for detection of the common PIK3CA p.H1047R breast cancer mutation.

Melpomeni Kalofonou, Kenny Malpartida-Cardenas, George Alexandrou, Jesus Rodriguez-Manzano, Ling-Shan Yu, Nicholas Miscourides, Rebecca Allsopp, Kelly L T Gleason, Katie Goddard, Daniel Fernandez-Garcia and 6 more

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

16 authors.

Melpomeni Kalofonou *Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, England. m.kalofonou@imperial.ac.uk.ORCID http://orcid.org/0000-0001-8299-4106
Kenny Malpartida-Cardenas *Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, England.ORCID http://orcid.org/0000-0002-3874-8810
George Alexandrou *Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, England.
Jesus Rodriguez-ManzanoCentre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, England.
Ling-Shan YuCentre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, England.
Nicholas MiscouridesCentre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, England.
Rebecca AllsoppLeicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Leicester, LE2 7LX, England.
Kelly L T GleasonDivision of Cancer, Department of Surgery and Cancer, Imperial College London, London, SW7 2AZ, England.
Katie GoddardDivision of Cancer, Department of Surgery and Cancer, Imperial College London, London, SW7 2AZ, England.
Daniel Fernandez-GarciaLeicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Leicester, LE2 7LX, England.
Karen PageLeicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Leicester, LE2 7LX, England.
Pantelis GeorgiouCentre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, England.ORCID http://orcid.org/0000-0003-2476-3857
Simak AliDivision of Cancer, Department of Surgery and Cancer, Imperial College London, London, SW7 2AZ, England.ORCID http://orcid.org/0000-0002-1320-0816
R Charles CoombesDivision of Cancer, Department of Surgery and Cancer, Imperial College London, London, SW7 2AZ, England.
Jacqueline ShawLeicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Leicester, LE2 7LX, England.ORCID http://orcid.org/0000-0003-4227-503X
Christofer ToumazouCentre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, England.

Funding

Cancer Research UK 13462Cancer Research UK 20276Cancer Research UK 23464Cancer Research UK 25292
6 · The paper itself

Abstract

Breast cancer (BC) is a common cancer in women worldwide. Despite advances in treatment, up to 30% of women eventually relapse and die of metastatic breast cancer. Liquid biopsy analysis of circulating cell-free DNA fragments in the patients' blood can monitor clonality and evolving mutations as a surrogate for tumour biopsy. Next generation sequencing platforms and digital droplet PCR can be used to profile circulating tumour DNA from liquid biopsies; however, they are expensive and time consuming for clinical use. Here, we report a novel strategy with proof-of-concept data that supports the usage of loop-mediated isothermal amplification (LAMP) to detect PIK3CA c.3140 A > G (H1047R), a prevalent BC missense mutation that is attributed to BC tumour growth. Allele-specific primers were designed and optimized to detect the p.H1047R variant following the USS-sbLAMP method. The assay was developed with synthetic DNA templates and validated with DNA from two breast cancer cell-lines and two patient tumour tissue samples through a qPCR instrument and finally piloted on an ISFET enabled microchip. This work sets a foundation for BC mutational profiling on a Lab-on-Chip device, to help the early detection of patient relapse and to monitor efficacy of systemic therapies for personalised cancer patient management.

Indexed as

Mutation, MissenseBreast NeoplasmsCell Line, TumorClass I Phosphatidylinositol 3-KinasesDNA PrimersEarly Detection of CancerFemaleHumansLab-On-A-Chip DevicesLiquid BiopsyMCF-7 CellsMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesPilot ProjectsProof of Concept StudyClass I Phosphatidylinositol 3-KinasesDNA PrimersPIK3CA protein, human

Identifiers

PMID32165708
PMCPMC7067842

What Socratic 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 Socratic graph.