Evidence map›Paper›PMID 34088974›Full record

ReviewJournal of human genetics2021

Clinical implementation and current advancement of blood liquid biopsy in cancer.

Kazunori Watanabe, Yusuke Nakamura, Siew-Kee Low

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of human genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
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  16. Cell-Free DNA in Dermatology Research.The Journal of investigative dermatology · 2022
    Article
  17. KRAS: A Druggable Target in Colon Cancer Patients.International journal of molecular sciences · 2022
    Review
  18. Article
  19. 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

3 authors at 2 institutions in 1 country.

Kazunori WatanabeCancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, Japan.
Yusuke NakamuraCancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, Japan.
Siew-Kee LowCancer Precision Medicine Center, Japanese Foundation for Cancer Research, Tokyo, Japan. siewkee.low@jfcr.or.jp.ORCID http://orcid.org/0000-0003-2386-0698
Japanese Foundation For Cancer Research · JPHokkaido University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liquid biopsies have been receiving tremendous attentions as easy, rapid, and non-invasive tools for cancer diagnosis. Liquid biopsy can be performed repeatedly for disease monitoring and is expected to overcome the limitations of tissue biopsies. With the advancement of next generation sequencing technologies, it is now possible to detect minute amount of tumor-derived circulation tumor DNA (ctDNA) from blood samples. Importantly, ctDNA detection could be complementary to tissue biopsies or tumor biomarkers particularly in cases of which tumor biopsy is clinically difficult to obtain. Here, we introduce the up-to-date technologies used in cfDNA-based liquid biopsy and review the clinical utilities of ctDNA in cancer screening, detection of minimal residual diseases, selection of molecular-targeted drugs, as well as monitoring of treatment responsiveness. We also discuss the challenges and future perspectives of liquid biopsy implementation in clinical setting.

Indexed as

Liquid BiopsyBiomarkers, TumorCirculating Tumor DNAHumansNeoplasmsBiomarkers, TumorCirculating Tumor DNA

Identifiers

PMID34088974
OpenAlexW3165332872

What OpenQuestion holds

Textmetadata
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.