Evidence map›Paper›PMID 27034166›Full record

ArticleOncotarget2016

Mutational analysis of single circulating tumor cells by next generation sequencing in metastatic breast cancer.

Francesca De Luca, Giada Rotunno, Francesca Salvianti, Francesca Galardi, Marta Pestrin, Stefano Gabellini, Lisa Simi, Irene Mancini, Alessandro Maria Vannucchi, Mario Pazzagli and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed, 1 pooled it
12.9field-weighted citation impact, top 1% 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

93 citing papers in PubMed, 1 synthesis or guideline pooled it, 159 citations in OpenAlex.

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33 more citing papers are in PubMed but not listed here.

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

12 authors at 2 institutions in 1 country.

Francesca De LucaSandro Pitigliani Medical Oncology Department, Hospital of Prato, Istituto Toscano Tumori, 59100, Prato, Italy.
Giada RotunnoDepartment of Experimental and Clinical Medicine, University of Florence, 50139, Florence, Italy.
Francesca SalviantiDepartment of Clinical, Experimental and Biomedical Sciences, University of Florence, 50139, Florence, Italy.
Francesca GalardiSandro Pitigliani Medical Oncology Department, Hospital of Prato, Istituto Toscano Tumori, 59100, Prato, Italy.
Marta PestrinSandro Pitigliani Medical Oncology Department, Hospital of Prato, Istituto Toscano Tumori, 59100, Prato, Italy.
Stefano GabelliniSandro Pitigliani Medical Oncology Department, Hospital of Prato, Istituto Toscano Tumori, 59100, Prato, Italy.
Lisa SimiDepartment of Clinical, Experimental and Biomedical Sciences, University of Florence, 50139, Florence, Italy.
Irene ManciniDepartment of Clinical, Experimental and Biomedical Sciences, University of Florence, 50139, Florence, Italy.
Alessandro Maria VannucchiDepartment of Experimental and Clinical Medicine, University of Florence, 50139, Florence, Italy.
Mario PazzagliDepartment of Clinical, Experimental and Biomedical Sciences, University of Florence, 50139, Florence, Italy.
Angelo Di LeoSandro Pitigliani Medical Oncology Department, Hospital of Prato, Istituto Toscano Tumori, 59100, Prato, Italy.
Pamela PinzaniDepartment of Clinical, Experimental and Biomedical Sciences, University of Florence, 50139, Florence, Italy.
University of Florence · ITHospital of Prato · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating Tumor Cells (CTCs) represent a "liquid biopsy" of the tumor potentially allowing real-time monitoring of cancer biology and therapies in individual patients.The purpose of the study was to explore the applicability of a protocol for the molecular characterization of single CTCs by Next Generation Sequencing (NGS) in order to investigate cell heterogeneity and provide a tool for a personalized medicine approach.CTCs were enriched and enumerated by CellSearch in blood from four metastatic breast cancer patients and singularly isolated by DEPArray. Upon whole genome amplification 3-5 single CTCs per patient were analyzed by NGS for 50 cancer-related genes.We found 51 sequence variants in 25 genes. We observed inter- and intra-patient heterogeneity in the mutational status of CTCs.The highest number of somatic deleterious mutations was found in the gene TP53, whose mutation is associated with adverse prognosis in breast cancer.The discordance between the mutational status of the primary tumor and CTCs observed in 3 patients suggests that, in advanced stages of cancer, CTC characteristics are more closely linked to the dynamic modifications of the disease status.In one patient the mutational profiles of CTCs before and during treatment shared only few sequence variants.This study supports the applicability of a non-invasive approach based on the liquid biopsy in metastatic breast cancer patients which, in perspective, should allow investigating the clonal evolution of the tumor for the development of new therapeutic strategies in precision medicine.

Indexed as

MutationBiomarkers, TumorBreast NeoplasmsDNA Mutational AnalysisFemaleHigh-Throughput Nucleotide SequencingHumansNeoplastic Cells, CirculatingPrognosisSingle-Cell AnalysisSurvival RateTumor Suppressor Protein p53Biomarkers, TumorTP53 protein, humanTumor Suppressor Protein p53breast cancercirculating tumor cellsnext generation sequencingsingle cell sequencingsomatic mutations

Identifiers

PMID27034166
PMCPMC5041968
OpenAlexW2322855452

What OpenQuestion holds

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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.