Evidence map›Paper›PMID 32688456›Full record

ArticleMolecular oncology2020

Identification and validation of novel DNA methylation markers for early diagnosis of lung adenocarcinoma.

Miao Li, Chen Zhang, Lijun Zhou, Siyu Li, Yuan Jie Cao, Longlong Wang, Rong Xiang, Yi Shi, Yongjun Piao

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

17 citing papers in PubMed, 27 citations in OpenAlex.

  1. Epigenetics · 2026
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  13. [Advances in the Study of Chemokine-like Factor Superfamily Members in Tumors].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2023
    Review
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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

9 authors at 2 institutions in 1 country.

Miao LiSchool of Medicine, Nankai University, Tianjin, China.
Chen ZhangSchool of Medicine, Nankai University, Tianjin, China.
Lijun ZhouSchool of Medicine, Nankai University, Tianjin, China.
Siyu LiSchool of Medicine, Nankai University, Tianjin, China.
Yuan Jie CaoDepartment of Radiation and Oncology, National Clinical Research Center for Cancer and Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Longlong WangSchool of Medicine, Nankai University, Tianjin, China.
Rong XiangSchool of Medicine, Nankai University, Tianjin, China.
Yi ShiSchool of Medicine, Nankai University, Tianjin, China.
Yongjun PiaoSchool of Medicine, Nankai University, Tianjin, China.ORCID 0000-0002-2769-6437
Nankai University · CNTianjin Medical University Cancer Institute and Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer has the highest mortality of all cancers worldwide. Epigenetic alterations have emerged as potential biomarkers for early diagnosis of various cancer tissue types. To identify methylation markers for early diagnosis of lung adenocarcinoma, we aimed to integrate genome-wide DNA methylation and gene expression data from The Cancer Genome Atlas. To this end, we first examined the global DNA methylation pattern of lung adenocarcinoma and investigated the relationship between DNA methylation subtypes and clinical features. We then extracted differentially methylated and expressed genes, and adopted feature selection techniques to determine the final methylation markers. The performance of the markers in predicting lung adenocarcinoma was evaluated on three independent datasets from Gene Expression Omnibus. Protein levels of marker genes were validated by immunohistochemistry, and their biological function was further verified in vivo. We identified three novel methylation markers in lung adenocarcinoma including cg08032924, cg14823851, and cg19161124, mapping to CMTM2, TBX4, and DPP6, respectively. Validating these results on three independent datasets indicated that the three markers can achieve extremely high sensitivity and specificity in distinguishing lung adenocarcinoma from normal samples. Immunohistochemistry quantification results confirmed that markers are weakly expressed in human lung adenocarcinoma, and CMTM2 decreased tumor growth of mouse Lewis lung carcinoma in vivo. Overall, our study identified three novel methylation markers in lung adenocarcinoma which may contribute toward an improved diagnosis potentially leading to a better outcome for patients with lung adenocarcinoma.

Indexed as

DNA MethylationAdenocarcinoma of LungAgedBiomarkers, TumorEarly Detection of CancerFemaleGene Expression Regulation, NeoplasticHumansLung NeoplasmsMaleMiddle AgedBiomarkers, TumorDNA methylationearly diagnosisfeature selectionlung adenocarcinoma

Identifiers

PMID32688456
PMCPMC7607165
OpenAlexW3044152131

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.