Evidence map›Paper›PMID 30250538›Full record

ArticleOncology letters2018

A quantitative analysis of the potential biomarkers of non-small cell lung cancer by circulating cell-free DNA.

Lirong Wei, Wangxi Wu, Liming Han, Weimo Yu, Yuzhen Du

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

20 citing papers in PubMed, 24 citations in OpenAlex.

  1. Circulating Cell-free DNA as a Prognostic Biomarker in Patients with Advanced ALK+ Non-small Cell Lung Cancer in the Global Phase III ALEX Trial.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
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  4. Article
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  10. Quantitative analysis of plasma DNA in anal cancer patients.Contemporary oncology (Poznan, Poland) · 2022
    Article
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  12. Article
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  15. Review
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  17. Observational
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  19. Quantification of plasma cell-free DNA levels in dogs with various tumors.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2019
    Article
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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

5 authors at 2 institutions in 1 country.

Lirong WeiDepartment of Laboratory Medicine, Shanghai Sixth People's Hospital East Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai 201306, P.R. China.
Wangxi WuDepartment of Laboratory Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, East Campus, Shanghai 201306, P.R. China.
Liming HanDepartment of Laboratory Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, East Campus, Shanghai 201306, P.R. China.
Weimo YuDepartment of Laboratory Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, East Campus, Shanghai 201306, P.R. China.
Yuzhen DuDepartment of Laboratory Medicine, Shanghai Sixth People's Hospital East Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai 201306, P.R. China.
Shanghai Sixth People's Hospital · CNShanghai University of Medicine and Health Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study was conducted to ascertain whether the quantification of circulating cell-free DNA (cfDNA) in serum has value as a diagnostic or for monitoring the progression of non-small cell lung cancer (NSCLC). The serum/plasma cfDNA concentration was quantified by absolute qPCR of long interspersed nuclear element-1 (LINE1) in 60 NSCLC patients and 68 controls in good health. Receiver operating characteristic (ROC) curve analysis was performed to determine the diagnostic utility and cut-off levels of cfDNA, CEA, and CYFRA21-1 in NSCLC patients. Correlations between cfDNA and age, sex, tumour stage and progression-free survival (PFS) were analysed. A follow-up study was conducted on 4 NSCLC patients, and serum cfDNA, CEA, and CYFRA21-1 were quantified throughout disease progression. Serum cfDNA levels were significantly higher in NSCLC patients than those in normal controls. Elevated serum cfDNA concentration was also significantly associated with advanced tumour stage. Serum cfDNA had a ROC area under the curve comparable to that of CEA and CYFRA21-1 for the diagnosis of NSCLC, and the combined cfDNA/CEA/CYFRA21-1 indicator had the highest diagnostic efficiency. Moreover, increased serum cfDNA levels were strongly correlated with tumour progression and poor PFS. This study preliminarily confirmed that cfDNA can monitor disease progression in NSCLC patients, and the lead time was 1-7 months compared with clinical medical imaging. Serum cfDNA may be useful in monitoring NSCLC progression, suggesting that the non-invasive quantification of serum cfDNA by LINE1 qPCR is a viable option for predicting progression and disease severity when repeated invasive tissue biopsy is not possible.

Indexed as

circulating cell-free DNAnon-small cell lung cancerprogressionserum

Identifiers

PMID30250538
PMCPMC6144435
OpenAlexW2883182062

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.