Evidence map›Paper›PMID 38473737›Full record

ArticleInternational journal of molecular sciences2024

Real-World Data and Clinical Implications of Next-Generation Sequencing (NGS)-Based Analysis in Metastatic Breast Cancer Patients.

Fabio Canino, Antonio Tornincasa, Stefania Bettelli, Samantha Manfredini, Monica Barbolini, Luca Moscetti, Claudia Omarini, Angela Toss, Fabio Tamburrano, Giuseppina Antonelli and 7 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2024. 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
0.9field-weighted citation impact, top 29% 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

7 citing papers in PubMed, 3 citations in OpenAlex.

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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

17 authors at 3 institutions in 1 country.

Fabio CaninoDivision of Medical Oncology, Department of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, 41124 Modena, Italy.ORCID 0000-0002-1379-7667
Antonio TornincasaUnità Operativa di Oncologia, ASL I dell'Umbria, 06012 Città di Castello, Italy.
Stefania BettelliMolecular Pathology and Predictive Medicine, Azienda Ospedaliero, Universitaria Policlinico di Modena, 41124 Modena, Italy.
Samantha ManfrediniMolecular Pathology and Predictive Medicine, Azienda Ospedaliero, Universitaria Policlinico di Modena, 41124 Modena, Italy.
Monica BarboliniDivision of Medical Oncology, Department of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, 41124 Modena, Italy.ORCID 0000-0001-6559-6747
Luca MoscettiGruppo Oncologico Italiano di Ricerca Clinica (GOIRC), 43126 Parma, Italy.
Claudia OmariniGruppo Oncologico Italiano di Ricerca Clinica (GOIRC), 43126 Parma, Italy.
Angela TossDivision of Medical Oncology, Department of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, 41124 Modena, Italy.ORCID 0000-0002-1854-6701
Fabio TamburranoDivision of Medical Oncology, Department of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, 41124 Modena, Italy.
Giuseppina AntonelliDivision of Medical Oncology, Department of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, 41124 Modena, Italy.
Federica BaglioDivision of Medical Oncology, Department of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, 41124 Modena, Italy.
Lorenzo BelluzziDivision of Medical Oncology, Department of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, 41124 Modena, Italy.
Giulio MartinelliDivision of Medical Oncology, Department of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, 41124 Modena, Italy.ORCID 0000-0001-6881-9424
Salvatore NatalizioDivision of Medical Oncology, Department of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, 41124 Modena, Italy.ORCID 0000-0002-1122-5817
Ornella PonzoniDivision of Medical Oncology, Department of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, 41124 Modena, Italy.
Massimo DominiciDivision of Medical Oncology, Department of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, 41124 Modena, Italy.ORCID 0000-0002-4007-1503
Federico PiacentiniDivision of Medical Oncology, Department of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, 41124 Modena, Italy.ORCID 0000-0001-8969-638X
University of Modena and Reggio Emilia · ITAzienda Ospedaliero-Universitaria di Modena · ITItalian Oncology Group of Clinical Research · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last two decades, the use of Next-Generation Sequencing (NGS) in medical oncology has increased the likelihood of identifying druggable mutations that may be potentially susceptible to targeted treatments. The European Society for Medical Oncology (ESMO) currently does not recommend the use of the NGS test to determine the therapeutic course of patients with metastatic breast cancer (mBC) in daily clinical practice. However, the aim of this work is to evaluate the potential contribution of the NGS test in selecting targeted therapies for patients with mBC. Data were retrospectively collected from 101 patients diagnosed with metastatic breast cancer and treated at the Modena Cancer Center between January 2015 and April 2022. A NGS test was performed on the tumor tissue of each patient at the Laboratory of Molecular Pathology of the University Hospital of Modena. This study analyzed the clinical-pathological characteristics and mutational profile of the population using NGS tests, with a focus on actionable mutations that could be targeted in advanced stages of clinical development. The indicator of this study was to quantify the actionable mutations that resulted in a change of cancer treatment. In total, 101 patients with metastatic breast cancer were analyzed, including 86 with luminal phenotype, 10 who were HER2-positive and 5 who were triple-negative. Median age was 52 years. NGS analysis was conducted on 47 samples of primary breast cancer, 52 on metastatic sites of disease and 2 on liquid biopsies. A total of 85 gene mutations were found. The most common mutations were identified in the

Indexed as

Breast NeoplasmsBiomarkers, TumorClass I Phosphatidylinositol 3-KinasesFemaleHigh-Throughput Nucleotide SequencingHumansMiddle AgedRetrospective StudiesBiomarkers, TumorClass I Phosphatidylinositol 3-Kinasesactionable mutationsadvanced breast cancernext-generation sequencing (NGS)target therapytumor mutational burden

Identifiers

PMID38473737
PMCPMC10931361
OpenAlexW4391954079

What OpenQuestion holds

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LicenceCC BY
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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.