Evidence map›Paper›PMID 28146051›Full record

ReviewInternational journal of molecular sciences2017

Circulating Cell Free Tumor DNA Detection as a Routine Tool forLung Cancer Patient Management.

Julie A Vendrell, Frédéric Tran Mau-Them, Benoît Béganton, Sylvain Godreuil, Peter Coopman, Jérôme Solassol

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
–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

52 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. DistinctFrontiers in oncology · 2020
    Pooled it
  2. Trial
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  5. Article
  6. Review
  7. Article
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  9. Article
  10. Article
  11. Review
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  13. A Clinician's Guide to Bioinformatics for Next-Generation Sequencing.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2023
    Review
  14. Review
  15. Article
  16. Review
  17. Real-World Analysis of theDiagnostics (Basel, Switzerland) · 2021
    Article
  18. Review
  19. Article
  20. Review
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

6 authors.

Julie A VendrellCHU Montpellier, Arnaud de Villeneuve Hospital, Department of Pathology, 34295 Montpellier, France. J-vendrell@chu-montpellier.fr.
Frédéric Tran Mau-ThemCHU Montpellier, Arnaud de Villeneuve Hospital, Department of Pathology, 34295 Montpellier, France. f-tran_mau_them@chu-montpellier.fr.
Benoît BégantonIRCM, Institut de Recherche en Cancérologie de Montpellier, 34298 Montpellier, France. benoit.beganton@inserm.fr.
Sylvain GodreuilCHU Montpellier, Arnaud de Villeneuve Hospital, Department of Microbiology, 34295 Montpellier, France. S-godreuil@chu-montpellier.fr.
Peter CoopmanIRCM, Institut de Recherche en Cancérologie de Montpellier, 34298 Montpellier, France. peter.coopman@inserm.fr.
Jérôme SolassolCHU Montpellier, Arnaud de Villeneuve Hospital, Department of Pathology, 34295 Montpellier, France. j-solassol@chu-montpellier.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating tumoral DNA (ctDNA), commonly named "liquid biopsy", has emerged as a new promising noninvasive tool to detect biomarker in several cancers including lung cancer. Applications involving molecular analysis of ctDNA in lung cancer have increased and encompass diagnosis, response to treatment, acquired resistance and prognosis prediction, while bypassing the problem of tumor heterogeneity. ctDNA may then help perform dynamic genetic surveillance in the era of precision medicine through indirect tumoral genomic information determination. The aims of this review were to examine the recent technical developments that allowed the detection of genetic alterations of ctDNA in lung cancer. Furthermore, we explored clinical applications in patients with lung cancer including treatment efficiency monitoring, acquired therapy resistance mechanisms and prognosis value.

Indexed as

Biomarkers, TumorBiopsyDiagnostic Tests, RoutineDisease ManagementDNA, NeoplasmGenomicsHigh-Throughput Nucleotide SequencingHumansLung NeoplasmsNeoplastic Cells, CirculatingPolymerase Chain ReactionPrecision MedicinePrognosisTumor BurdenBiomarkers, TumorDNA, Neoplasmcirculating DNAlung cancermolecular diagnosisroutine practicetargeted therapies

Identifiers

PMID28146051
PMCPMC5343800

What OpenQuestion 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 OpenQuestion graph.