Evidence map›Paper›PMID 36613590›Full record

ArticleInternational journal of molecular sciences2022

Development of a Novel NGS Methodology for Ultrasensitive Circulating Tumor DNA Detection as a Tool for Early-Stage Breast Cancer Diagnosis.

Begoña Jiménez-Rodríguez, Alfonso Alba-Bernal, Esperanza López-López, María Elena Quirós-Ortega, Guillermo Carbajosa, Alicia Garrido-Aranda, Martina Álvarez, Ana Godoy-Ortiz, María Isabel Queipo-Ortuño, Luis Vicioso and 10 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. 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

20 authors.

Begoña Jiménez-RodríguezUnidad de Gestión Clínica Intercentros de Oncología Médica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010 Malaga, Spain.
Alfonso Alba-BernalUnidad de Gestión Clínica Intercentros de Oncología Médica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010 Malaga, Spain.
Esperanza López-LópezUnidad de Gestión Clínica Intercentros de Oncología Médica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010 Malaga, Spain.
María Elena Quirós-OrtegaUnidad de Gestión Clínica Intercentros de Oncología Médica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010 Malaga, Spain.
Guillermo CarbajosaUnidad de Gestión Clínica Intercentros de Oncología Médica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010 Malaga, Spain.
Alicia Garrido-ArandaUnidad de Gestión Clínica Intercentros de Oncología Médica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010 Malaga, Spain.
Martina ÁlvarezUnidad de Gestión Clínica Intercentros de Oncología Médica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010 Malaga, Spain.ORCID 0000-0002-0303-2871
Ana Godoy-OrtizUnidad de Gestión Clínica Intercentros de Oncología Médica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010 Malaga, Spain.ORCID 0000-0002-5503-6946
María Isabel Queipo-OrtuñoUnidad de Gestión Clínica Intercentros de Oncología Médica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010 Malaga, Spain.ORCID 0000-0002-2867-0845
Luis ViciosoFaculty of Medicine, University of Málaga, 29010 Malaga, Spain.
Gema Díaz-CórdobaRadiology Department, Hospital Clínico Universitario Virgen de la Victoria de Málaga, 29010 Malaga, Spain.
María Dunia Roldán-DíazUnidad de Gestión Clínica Intercentros de Oncología Médica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010 Malaga, Spain.
Jesús Velasco-SueltoUnidad de Gestión Clínica Intercentros de Oncología Médica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010 Malaga, Spain.
Cristina HernandoHospital Clínico Universitario de Valencia, Instituto de Investigación Sanitaria INCLIVA, 46010 Valencia, Spain.ORCID 0000-0002-6865-4196
Begoña BermejoCentro de Investigación Biomédica en Red de Cáncer (CIBERONC-CB16/12/00481), 28029 Madrid, Spain.
Ana Julve-ParreñoHospital Clínico Universitario de Valencia, Instituto de Investigación Sanitaria INCLIVA, 46010 Valencia, Spain.ORCID 0000-0001-5185-9411
Ana LluchHospital Clínico Universitario de Valencia, Instituto de Investigación Sanitaria INCLIVA, 46010 Valencia, Spain.
Javier PascualUnidad de Gestión Clínica Intercentros de Oncología Médica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010 Malaga, Spain.ORCID 0000-0003-3874-2782
Iñaki Comino-MéndezUnidad de Gestión Clínica Intercentros de Oncología Médica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010 Malaga, Spain.ORCID 0000-0003-1926-9432
Emilio AlbaUnidad de Gestión Clínica Intercentros de Oncología Médica, Hospitales Universitarios Regional y Virgen de la Victoria, 29010 Malaga, Spain.

Funding

Andalusia-Roche Network in Precision Medical Oncology Quirós-Ortega´s contractAsociación Española Contra el Cáncer Postdoctoral FellowshipConsejería de Salud y Familias PI-0291-2019Fundación Unicaja Alba-Bernal´s contractUniversity of Malaga Ayudas María Zambrano para la atracción de talento internacional - Universidad de Málaga
6 · The paper itself

Abstract

Breast cancer (BC) is the most prevalent cancer in women. While usually detected when localized, invasive procedures are still required for diagnosis. Herein, we developed a novel ultrasensitive pipeline to detect circulating tumor DNA (ctDNA) in a series of 75 plasma samples from localized BC patients prior to any medical intervention. We first performed a tumor-informed analysis to correlate the mutations found in tumor tissue and plasma. Disregarding the tumor data next, we developed an approach to detect tumor mutations in plasma. We observed a mutation concordance between the tumor and plasma of 29.50% with a sensitivity down to 0.03% in mutant variant allele frequency (VAF). We detected mutations in 33.78% of the samples, identifying eight patients with plasma-only mutations. Altogether, we determined a specificity of 86.36% and a positive predictive value of 88.46% for BC detection. We demonstrated an association between higher ctDNA median VAF and higher tumor grade, multiple plasma mutations with a likelihood of relapse and more frequent

Indexed as

Breast NeoplasmsCirculating Tumor DNABiomarkers, TumorFemaleHigh-Throughput Nucleotide SequencingHumansMutationNeoplasm Recurrence, LocalBiomarkers, TumorCirculating Tumor DNAcirculating tumor DNAearly breast cancerliquid biopsyultra-deep sequencing

Identifiers

PMID36613590
PMCPMC9820510

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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.