Evidence map›Paper›PMID 32138766›Full record

ArticleClinical epigenetics2020

Ultrasensitive DNA hypermethylation detection using plasma for early detection of NSCLC: a study in Chinese patients with very small nodules.

Chen Chen, Xiaojie Huang, Wei Yin, Muyun Peng, Fang Wu, Xia Wu, Jingqun Tang, Mingjiu Chen, Xiang Wang, Alicia Hulbert and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical epigenetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 4 pooled it
4.1field-weighted citation impact, top 4% 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

42 citing papers in PubMed, 4 syntheses or guidelines pooled it, 68 citations in OpenAlex.

  1. Pooled it
  2. Biomarkers Suitable for Early Detection of Intrathoracic Cancers in Primary Care: A Systematic Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Pooled it
  3. Pooled it
  4. Pooled it
  5. A Real-World Assessment of Stage I Lung Cancer Through Electronic Nose Technology.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2024
    Trial
  6. Trial
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. 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

14 authors at 4 institutions in 2 countries.

Chen ChenDepartment of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.ORCID 0000-0003-4569-6032
Xiaojie HuangDepartment of Cardiovascular Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Wei YinDepartment of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Muyun PengDepartment of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Fang WuDepartment of Oncology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Xia WuDepartment of Pathology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Jingqun TangDepartment of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Mingjiu ChenDepartment of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Xiang WangDepartment of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Alicia HulbertDepartment of Surgery, University of Illinois at Chicago School of Medicine, Chicago, IL, USA.
Malcolm V BrockDepartment of Surgery, The Sidney Kimmel Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Wenliang LiuDepartment of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China. liuwenliang@csu.edu.cn.
James G HermanUPMC Hillman Cancer Center, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. hermanj3@upmc.edu.
Fenglei YuDepartment of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China. yufenglei@csu.edu.cn.
Central South University · CNJohns Hopkins University · USUniversity of Illinois Chicago · USUPMC Health System · US

Funding

Ultrasensitive Detection of Tumor Specific DNA Methylation Changes for the Early Detection of Lung Cancer U01CA214165 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HERMAN, JAMES G., WANG, TZA-HUEI JEFF · 2016 to 2021
$3.1M
NCI NIH HHS U01 CA214165
6 · The paper itself

Abstract

purposeWe had previously developed highly sensitive DNA methylation detection to diagnose lung cancer in patients with pulmonary nodules. To validate this approach and determine clinical utility in Chinese patients with indeterminate pulmonary nodules, we assessed the diagnostic accuracy for early stage lung cancer in plasma samples. EXPERIMENTAL

designPatients with CT-detected small lung nodules (diameter ≤ 3.0 cm) were included. Cases (n = 163) had staged IA or IB non-small cell lung cancer (NSCLC), while controls (n = 83) had non-cancerous lesions. Promoter methylation of eight lung cancer-specific genes (CDO1, TAC1, SOX17, HOXA7, HOXA9, GATA4, GATA5, and PAX5) was detected using nanoparticle-based DNA extraction (MOB) followed by qMSP.

resultsMethylation detection for CDO1, TAC1, SOX17, and HOXA7 in plasma was significantly higher in cases compared with the benign group (p < 0.001). The sensitivity and specificity for lung cancer diagnosis using individual gene was 41-69% and 49-82%. A three-gene combination of the best individual genes has sensitivity and specificity of 90% and 71%, with area under the receiver operating curve (AUC) of 0.88, (95% CI 0.84-0.93). Furthermore, three-gene combinations detected even the smallest lung nodules, with the combination of CDO1, SOX17, and HOXA7 having the overall best performance, while the combination of CDO1, TAC1, and SOX17 was best in tumor sizes less than 1.0 cm.

conclusionsUsing modified MOB-qMSP, high sensitivity and specificity, for the detection of circulating tumor DNA was obtained for early stage NSCLC. This strategy has great potential to identify patients at high risk and improve the diagnosis of lung cancer at an earlier stage.

Indexed as

DNA MethylationAgedBiomarkers, TumorCarcinoma, Non-Small-Cell LungCase-Control StudiesChinaDNA, NeoplasmEarly Detection of CancerFemaleHumansLung NeoplasmsMagnetic Iron Oxide NanoparticlesMaleMiddle AgedPromoter Regions, GeneticReal-Time Polymerase Chain ReactionBiomarkers, TumorDNA, NeoplasmBiomarkerDNA methylationEarly detectionLung cancerPlasma

Identifiers

PMID32138766
PMCPMC7057485
OpenAlexW3012453990

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.