Evidence map›Paper›PMID 34422670›Full record

ReviewFrontiers in oncology2021

Application of Circulating Tumor DNA as a Biomarker for Non-Small Cell Lung Cancer.

Jialiang Yang, Yan Hui, Yanxiang Zhang, Minghui Zhang, Binbin Ji, Geng Tian, Yangqiang Guo, Min Tang, Lianxing Li, Bella Guo and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

25 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
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  4. Observational
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  7. Article
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  15. Article
  16. Predictive Biomarkers in Thyroid Cancer.Frontiers in oncology · 2022
    Review
  17. Article
  18. Article
  19. Lung Cancer Stage Prediction Using Multi-Omics Data.Computational and mathematical methods in medicine · 2022
    Article
  20. Article
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

11 authors at 4 institutions in 1 country.

Jialiang YangChifeng Municipal Hospital, Chifeng, China.
Yan HuiChifeng Municipal Hospital, Chifeng, China.
Yanxiang ZhangChifeng Municipal Hospital, Chifeng, China.
Minghui ZhangChifeng Municipal Hospital, Chifeng, China.
Binbin JiQingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao, China.
Geng TianQingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao, China.
Yangqiang GuoChina National Intellectual Property Administration, Beijing, China.
Min TangSchool of Life Sciences, Jiangsu University, Zhenjiang, China.
Lianxing LiChifeng Municipal Hospital, Chifeng, China.
Bella GuoGenetron Health (Beijing) Co. Ltd., Beijing, China.
Tonghui MaGenetron Health (Beijing) Co. Ltd., Beijing, China.
Chifeng Municipal Hospital · CNCipher Gene (China) · CNJiangsu University · CNState Intellectual Property Office · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-small cell lung cancer (NSCLC) is one of the most prevalent causes of cancer-related death worldwide. Recently, there are many important medical advancements on NSCLC, such as therapies based on tyrosine kinase inhibitors and immune checkpoint inhibitors. Most of these therapies require tumor molecular testing for selecting patients who would benefit most from them. As invasive biopsy is highly risky, NSCLC molecular testing based on liquid biopsy has received more and more attention recently.

objectiveWe aimed to introduce liquid biopsy and its potential clinical applications in NSCLC patients, including cancer diagnosis, treatment plan prioritization, minimal residual disease detection, and dynamic monitoring on the response to cancer treatment.

methodWe reviewed recent studies on circulating tumor DNA (ctDNA) testing, which is a minimally invasive approach to identify the presence of tumor-related mutations. In addition, we evaluated potential clinical applications of ctDNA as blood biomarkers for advanced NSCLC patients.

resultsMost studies have indicated that ctDNA testing is critical in diagnosing NSCLC, predicting clinical outcomes, monitoring response to targeted therapies and immunotherapies, and detecting cancer recurrence. Moreover, the changes of ctDNA levels are associated with tumor mutation burden and cancer progression.

conclusionThe ctDNA testing is promising in guiding the therapies on NSCLC patients.

Indexed as

circulating tumor DNAimmunotherapiesliquid biopsymolecular testingnon-small cell lung cancertherapeutic response

Identifiers

PMID34422670
PMCPMC8375502
OpenAlexW3189368770

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.