Evidence map›Paper›PMID 28404957›Full record

SynthesisOncotarget2017

Gene methylation as a powerful biomarker for detection and screening of non-small cell lung cancer in blood.

Bao-Hua Wang, Yan-Yu Li, Jin-Zhu Han, Lian-Ya Zhou, Ying-Qian Lv, He-Lin Zhang, Li Zhao

Registry-linked trialOpen access · diamondAbstract readMeta-Analysis
In one paragraph

Synthesis in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04957433 (Lung Health Check Biomarker Study), which is not on this map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% 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.

NCT04957433 unknown statusnot on this mapstarted 2020, after this paper: background citation

Lung Health Check Biomarker Study

TypeobservationalSponsorRoyal Marsden NHS Foundation TrustRan2020 to 2023Enrolled1,000ConditionsLung Cancer, CancerArmsBlood Specimen
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Association of Sperm Methylation atFrontiers in genetics · 2019
    Article
  8. Article
  9. Genetic variation inOncotarget · 2018
    Article
  10. Aberrant methylation ofJournal of Cancer · 2018
    Article
  11. MethylatedOncotarget · 2017
    Article
  12. Review
  13. 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

7 authors at 2 institutions in 1 country.

Bao-Hua WangDepartment of Thoracic Surgery, The Second Hospital of Heibei Medical University, Shijiazhuang 050000, China.
Yan-Yu LiDepartment of General Surgery, The Second Hospital of Heibei Medical University, Shijiazhuang 050000, China.
Jin-Zhu HanThe Second Department of Oncology, The Second Hospital of Heibei Medical University, Shijiazhuang 050000, China.
Lian-Ya ZhouDepartment of Thoracic Surgery, The Second Hospital of Heibei Medical University, Shijiazhuang 050000, China.
Ying-Qian LvThe Second Department of Oncology, The Second Hospital of Heibei Medical University, Shijiazhuang 050000, China.
He-Lin ZhangDepartment of Thoracic Surgery, The Second Hospital of Heibei Medical University, Shijiazhuang 050000, China.
Li ZhaoThe Second Department of Oncology, The Second Hospital of Heibei Medical University, Shijiazhuang 050000, China.
Second Hospital of Hebei Medical University · CNHebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation has been reported to become a potential powerful tool for cancer detection and diagnosis. However, the possibilities for the application of blood-based gene methylation as a biomarker for non-small cell lung cancer (NSCLC) detection and screening remain unclear. Hence, we performed this meta-analysis to evaluate the value of gene methylation detected in blood samples as a noninvasive biomarker in NSCLC. A total of 28 genes were analyzed from 37 case-control studies. In the genes with more than three studies, we found that the methylation of P16, RASSF1A, APC, RARβ, DAPK, CDH13, and MGMT was significantly associated with risks of NSCLC. The methylation statuses of P16, RASSF1A, APC, RARβ, DAPK, CDH13, and MGMT were not linked to age, gender, smoking behavior, and tumor stage and histology in NSCLC. Therefore, the use of the methylation status of P16, RASSF1A, APC, RARβ, DAPK, CDH13, and MGMT could become a promising and powerful biomarker for the detection and screening of NSCLC in blood in clinical settings. Further large-scale studies with large sample sizes are necessary to confirm our findings in the future.

Indexed as

Biomarkers, TumorDNA MethylationCarcinoma, Non-Small-Cell LungCase-Control StudiesHumansLung NeoplasmsNeoplastic Cells, CirculatingOdds RatioPublication BiasBiomarkers, Tumorbiomarkersbloodgene methylationNSCLC

Identifiers

PMID28404957
PMCPMC5458240
OpenAlexW2592917378

What OpenQuestion holds

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Registered trials

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.