Evidence map›Paper›PMID 39188296›Full record

ReviewSmart medicine2023

Emerging ctDNA detection strategies in clinical cancer theranostics.

Kexin Yi, Xiaoju Wang, Sergey K Filippov, Hongbo Zhang

Abstract readReview
In one paragraph

Review in Smart medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
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  3. Article
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  5. 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

4 authors.

Kexin YiPharmaceutical Sciences Laboratory Åbo Akademi University Turku Finland.ORCID https://orcid.org/0000-0002-2547-4056
Xiaoju WangPharmaceutical Sciences Laboratory Åbo Akademi University Turku Finland.
Sergey K FilippovDWI-Leibniz Institute for Interactive Materials e. V. Aachen Germany.
Hongbo ZhangPharmaceutical Sciences Laboratory Åbo Akademi University Turku Finland.ORCID https://orcid.org/0000-0002-1071-4416

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating tumor DNA (ctDNA) is naked DNA molecules shed from the tumor cells into the peripheral blood circulation. They contain tumor-specific gene mutations and other valuable information. ctDNA is considered to be one of the most significant analytes in liquid biopsies. Over the past decades, numerous researchers have developed various detection strategies to perform quantitative or qualitative ctDNA analysis, including PCR-based detection and sequencing-based detection. More and more studies have illustrated the great value of ctDNA as a biomarker in the diagnosis, prognosis and heterogeneity of tumor. In this review, we first outlined the development of digital PCR (dPCR)-based and next generation sequencing (NGS)-based ctDNA detection systems. Besides, we presented the introduction of the emerging ctDNA analysis strategies based on various biosensors, such as electrochemical biosensors, fluorescent biosensors, surface plasmon resonance and Raman spectroscopy, as well as their applications in the field of biomedicine. Finally, we summarized the essentials of the preceding discussions, and the existing challenges and prospects for the future are also involved.

Indexed as

biosensorcancer theranosticscirculating tumor DNAdigital PCRnext generation sequencing

Identifiers

PMID39188296
PMCPMC11235813

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.