Evidence map›Paper›PMID 39165643›Full record

ReviewFrontiers in molecular biosciences2024

From haystack to high precision: advanced sequencing methods to unraveling circulating tumor DNA mutations.

Tamires Ferreira da Silva, Juscelino Carvalho de Azevedo, Eliel Barbosa Teixeira, Samir Mansour Moraes Casseb, Fabiano Cordeiro Moreira, Paulo Pimentel de Assumpção, Sidney Emanuel Batista Dos Santos, Danielle Queiroz Calcagno

Abstract readReview
In one paragraph

Review in Frontiers in molecular biosciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

8 authors.

Tamires Ferreira da SilvaPrograma de Residência Multiprofissional em Saúde (Oncologia), Hospital Universitário João de Barros Barreto, Universidade Federal do Pará, Belém, Brazil.
Juscelino Carvalho de AzevedoPrograma de Residência Multiprofissional em Saúde (Oncologia), Hospital Universitário João de Barros Barreto, Universidade Federal do Pará, Belém, Brazil.
Eliel Barbosa TeixeiraNúcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belém, Brazil.
Samir Mansour Moraes CassebNúcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belém, Brazil.
Fabiano Cordeiro MoreiraNúcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belém, Brazil.
Paulo Pimentel de AssumpçãoNúcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belém, Brazil.
Sidney Emanuel Batista Dos SantosNúcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belém, Brazil.
Danielle Queiroz CalcagnoPrograma de Residência Multiprofissional em Saúde (Oncologia), Hospital Universitário João de Barros Barreto, Universidade Federal do Pará, Belém, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying mutations in cancer-associated genes to guide patient treatments is essential for precision medicine. Circulating tumor DNA (ctDNA) offers valuable insights for early cancer detection, treatment assessment, and surveillance. However, a key issue in ctDNA analysis from the bloodstream is the choice of a technique with adequate sensitivity to identify low frequent molecular changes. Next-generation sequencing (NGS) technology, evolving from parallel to long-read capabilities, enhances ctDNA mutation analysis. In the present review, we describe different NGS approaches for identifying ctDNA mutation, discussing challenges to standardized methodologies, cost, specificity, clinical context, and bioinformatics expertise for optimal NGS application.

Indexed as

bioinformaticsctDNA mutationnon-targeted next-generation sequencingprecision medicinetargeted next-generation sequencing

Identifiers

PMID39165643
PMCPMC11333322

What OpenQuestion holds

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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.