Evidence map›Paper›PMID 34097174›Full record

ArticleBreast cancer research and treatment2021

Comparison of two targeted ultra-deep sequencing technologies for analysis of plasma circulating tumour DNA in endocrine-therapy-resistant breast cancer patients.

Georgios Nteliopoulos, Karen Page, Allison Hills, Karen Howarth, Warren Emmett, Emma Green, Luke J Martinson, Daniel Fernadez-Garcia, Robert Hastings, David S Guttery and 11 more

Open access · hybridAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 57% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Liquid biopsy in solid tumours: expert opinion paper of the European society of pathology.Virchows Archiv : an international journal of pathology · 2026
    Review
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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

21 authors at 4 institutions in 1 country.

Georgios Nteliopoulos *Department of Surgery and Cancer, Division of Cancer, Imperial College London, London, UK.
Karen Page *Department of Genetics and Genome Biology and Leicester Cancer Research Centre, College of Life Sciences, University of Leicester, University Road, Leicester, LE1 7RH, UK.
Allison Hills *Department of Surgery and Cancer, Division of Cancer, Imperial College London, London, UK.
Karen HowarthInivata Ltd, Granta Park, Cambridge, UK.
Warren EmmettInivata Ltd, Granta Park, Cambridge, UK.
Emma GreenInivata Ltd, Granta Park, Cambridge, UK.
Luke J MartinsonDepartment of Genetics and Genome Biology and Leicester Cancer Research Centre, College of Life Sciences, University of Leicester, University Road, Leicester, LE1 7RH, UK.
Daniel Fernadez-GarciaDepartment of Genetics and Genome Biology and Leicester Cancer Research Centre, College of Life Sciences, University of Leicester, University Road, Leicester, LE1 7RH, UK.
Robert HastingsDepartment of Genetics and Genome Biology and Leicester Cancer Research Centre, College of Life Sciences, University of Leicester, University Road, Leicester, LE1 7RH, UK.
David S GutteryDepartment of Genetics and Genome Biology and Leicester Cancer Research Centre, College of Life Sciences, University of Leicester, University Road, Leicester, LE1 7RH, UK.
Laura KennyDepartment of Medical Oncology, Imperial College London, Charing Cross Hospital, London, UK.
Justin StebbingDepartment of Medical Oncology, Imperial College London, Charing Cross Hospital, London, UK.
Susan CleatorDepartment of Medical Oncology, Imperial College London, Charing Cross Hospital, London, UK.
Farah RehmanDepartment of Medical Oncology, Imperial College London, Charing Cross Hospital, London, UK.
Kelly L T GleasonDepartment of Medical Oncology, Imperial College London, Charing Cross Hospital, London, UK.
Andrijac SanelaDepartment of Medical Oncology, Imperial College London, Charing Cross Hospital, London, UK.
Charlotte IonDepartment of Medical Oncology, Imperial College London, Charing Cross Hospital, London, UK.
Amelia J RushtonDepartment of Surgery and Cancer, Division of Cancer, Imperial College London, London, UK.
Nitzan RosenfeldInivata Ltd, Granta Park, Cambridge, UK.
R Charles CoombesDepartment of Surgery and Cancer, Division of Cancer, Imperial College London, London, UK.
Jacqueline A ShawDepartment of Genetics and Genome Biology and Leicester Cancer Research Centre, College of Life Sciences, University of Leicester, University Road, Leicester, LE1 7RH, UK. js39@le.ac.uk.ORCID http://orcid.org/0000-0003-4227-503X
Charing Cross Hospital · GBUniversity of Leicester · GBGranta Design (United Kingdom) · GBImperial College London · GB

Funding

Cancer Research UK 11906Cancer Research UK 20240Cancer Research UK 23464Cancer Research UK 27548Cancer Research UK 28292
6 · The paper itself

Abstract

purposeThere is growing interest in the application of circulating tumour DNA (ctDNA) as a sensitive tool for monitoring tumour evolution and guiding targeted therapy in patients with cancer. However, robust comparisons of different platform technologies are still required. Here we compared the InVisionSeq™ ctDNA Assay with the Oncomine™ Breast cfDNA Assay to assess their concordance and feasibility for the detection of mutations in plasma at low (< 0.5%) variant allele fraction (VAF).

methodsNinety-six plasma samples from 50 patients with estrogen receptor (ER)-positive metastatic breast cancer (mBC) were profiled using the InVision Assay. Results were compared to the Oncomine assay in 30 samples from 26 patients, where there was sufficient material and variants were covered by both assays. Longitudinal samples were analysed for 8 patients with endocrine resistance.

resultsWe detected alterations in 59/96 samples from 34/50 patients analysed with the InVision assay, most frequently affecting ESR1, PIK3CA and TP53. Complete or partial concordance was found in 28/30 samples analysed by both assays, and VAF values were highly correlated. Excellent concordance was found for most genes, and most discordant calls occurred at VAF < 1%. In longitudinal samples from progressing patients with endocrine resistance, we detected consistent alterations in sequential samples, most commonly in ESR1 and PIK3CA.

conclusionThis study shows that both ultra-deep next-generation sequencing (NGS) technologies can detect genomic alternations even at low VAFs in plasma samples of mBC patients. The strong agreement of the technologies indicates sufficient reproducibility for clinical use as prognosic and predictive biomarker.

Indexed as

Breast NeoplasmsCirculating Tumor DNABiomarkers, TumorFemaleHigh-Throughput Nucleotide SequencingHumansReproducibility of ResultsBiomarkers, TumorCirculating Tumor DNACirculating tumour DNA (ctDNA)Endocrine therapy resistanceMetastatic breast cancerNext-generation sequencing

Identifiers

PMID34097174
PMCPMC8260509
OpenAlexW3171335731

What OpenQuestion holds

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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 OpenQuestion graph.