Evidence map›Paper›PMID 31450665›Full record

ArticleJournal of clinical medicine2019

Epigenome-Wide Association Analysis of Differentially Methylated Signals in Blood Samples of Patients with Non-Small-Cell Lung Cancer.

Yoonki Hong, Hye-Mi Choi, Hyun Sub Cheong, Hyoung Doo Shin, Chang Min Choi, Woo Jin Kim

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Yoonki HongDepartment of Internal Medicine, School of Medicine, Kangwon National University, Chuncheon 200-701, Korea.ORCID 0000-0002-1607-6777
Hye-Mi ChoiDivision of Biomedical Convergence, College of Biomedical Science, and Institute of Bioscience & Biotechnology, Kangwon National University, Chuncheon 200-701, Korea.
Hyun Sub CheongDepartment of Genetic Epidemiology, SNP Genetics, Inc., Sogang University, Seoul, 04107, Korea.
Hyoung Doo ShinDepartment of Genetic Epidemiology, SNP Genetics, Inc., Sogang University, Seoul, 04107, Korea.
Chang Min ChoiDepartment of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea. ccm@amc.seoul.kr.ORCID 0000-0002-2881-4669
Woo Jin KimDepartment of Internal Medicine, School of Medicine, Kangwon National University, Chuncheon 200-701, Korea. pulmo2@kangwon.ac.kr.ORCID 0000-0003-2927-370X
Kangwon National University · KRSogang University · KRUlsan College · KR

Funding

the National R&D Program for Cancer Control, Ministry for Health and Welfare, Republic of Korea 1631210
6 · The paper itself

Abstract

Lung cancer is a common form of cancer and the leading cause of cancer-related deaths worldwide. Early diagnosis using noninvasive biomarkers may play an important role in increasing the survival rate of patients with lung cancer. Biomarkers of DNA methylation in blood samples may improve the early diagnosis of lung cancer. Here, we used peripheral blood samples obtained from 150 patients diagnosed with non-small-cell lung cancer (NSCLC) and 150 healthy controls. The latter were selected by frequency matching with the 150 patients with NSCLC, based on age, sex, and smoking status. Genome-wide methylation profiles were obtained using a MethylationEPIC BeadChip Kit, which covers the 850k bp cytosine-phosphate-guanine site. This analysis showed two significant differentially methylated changes (cg12169243 [

Indexed as

biomarkerDNA methylationnon-small-cell lung cancer

Identifiers

PMID31450665
PMCPMC6780065
OpenAlexW2969676401

What OpenQuestion holds

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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.